RITMARE La Ricerca ITaliana per il MARE
Transcript
RITMARE La Ricerca ITaliana per il MARE
Progetto Bandiera RITMARE La Ricerca ITaliana per il MARE Archivio delle soluzioni esterne a RITMARE Codice documento: SP7_WP1_AZ2_D01 Data di emissione 21/11/2013 Data prevista rilascio 03/2013 di Redazione Autore Principale Alessandro Sarretta (CNR-ISMAR) Approvato Alessandro Sarretta Paola Carrara Archivio delle soluzioni esterne a RITMARE Titolo doc.: Codice doc.: SP7_WP1_AZ2_D01 Distribuzione: SP7 Re Data v. Pag Redaz. Con il contributo di Approv. Stefano Menegon (CNR-ISMAR) Pietro Alessandro Brivio e Anna Basoni (CNR IREA) Paolo Villa (ISTI CNR) Elena Partescano e Alessandro Altenburger (OGS) Alessandro Sarretta g. 1 02/08/2013 65 Alessandro Sarretta Paola Carrara 1 2 L'attività descritta nella presente pubblicazione è stata finanziata dal Progetto Bandiera RITMARE - La Ricerca Italiana per il Mare - Coordinato dal Consiglio Nazionale delle Ricerche e finanziato dal Ministero dell'Istruzione, dell'Università e della Ricerca nell'ambito del Programma Nazionale della Ricerca 2011-2013. Codice documento: SP7_WP1_AZ2_D01 pag. 2/65 Indice 1 INTRODUZIONE............................................................................................................................ 5 2 ATTIVITÀ DELLE UNITÀ OPERATIVE..........................................................................................6 2.2 UO01 ISMAR............................................................................................................ 7 2.3 UO02 IREA............................................................................................................... 8 2.4 UO03 OGS................................................................................................................ 8 2.5 Descrizione della scheda..........................................................................................9 ALLEGATO 1: SCHEDE DI SOLUZIONI ESISTENTI FUORI RITMARE CENSITE DALL'UO01 ISMAR............................................................................................................................................. 11 INSPIRE....................................................................................................................... 11 InaSAFE - AIFDR......................................................................................................... 13 PublicData EU..............................................................................................................14 Euro-GEOSS broker....................................................................................................15 ICAN............................................................................................................................ 16 PPRD South Programme - GeoSDI.............................................................................17 Eye on Earth................................................................................................................ 18 Marineexplore.............................................................................................................. 19 ALLEGATO 2: SCHEDE DI SOLUZIONI ESISTENTI FUORI RITMARE CENSITE DALL'UO02 IREA................................................................................................................................................ 21 a. EMIS-GMIS (JRC).....................................................................................................22 b. ARGOMARINE..........................................................................................................24 c. eMII - IMOS...............................................................................................................25 d. iMarine...................................................................................................................... 27 e. National Oceanographic Data Center - NOAA..........................................................28 f. Ocean Biogeographic Information System (OBIS).....................................................31 g. MarBEF..................................................................................................................... 32 h. HALE-The HUMBOLDT Alignment Editor..................................................................34 i. Gulf of Mexico Data Atlas - NOAA..............................................................................35 j. Virtual Ocean..............................................................................................................38 ALLEGATO 3: IL CASO EMARINE INFORMATION INFRASTRUCTURE (EMII).........................40 Codice documento: SP7_WP1_AZ2_D01 pag. 3/65 Executive summary (in italiano) Il deliverable SP7_WP1_AZ2_D01, intitolato “Archivio delle soluzioni esterne a RITMARE”, rientra nell'Azione 2 (Definizione dello stato dell’arte delle soluzioni esterne a RITMARE) del WP1 (Definizione dei requisiti dell'infrastruttura). Il WP1 ha come obiettivo primario “l'identificazione dei requisiti del progetto RITMARE e dei suoi SP in termini di infrastruttura per la gestione dei dati e processi.” L'Azione 2 di WP1 ha l'obiettivo di provvedere alla definizione dello stato dell’arte in ambito internazionale e nazionale in progetti e pratiche non incluse nelle comunità riferite a RITMARE per ciò che riguarda i requisiti architetturali e tecnologici di RITMARE come emerso in SP7_WP1_AZ1. In particolare, sono state considerate le soluzioni che favorisco l’interoperabilità al più alto livello e che si ritengono più promettenti per garantire la sopravvivenza dell’Infrastruttura nel lungo periodo. Le Unità Operative hanno lavorato insieme per definire una lista di iniziative di interesse, le modalità di descrizione di tali iniziative e la loro archiviazione in una modalità comune. Sono state raccolte e archiviate 30 schede contenenti altrettante soluzioni/iniziative non incluse nelle comunità riferite a RITMARE. Codice documento: SP7_WP1_AZ2_D01 pag. 4/65 1 Introduzione Il deliverable SP7_WP1_AZ2_D01, intitolato “Archivio delle soluzioni esterne a RITMARE”, rientra nell'Azione 2 (Definizione dello stato dell’arte delle soluzioni esterne a RITMARE) del WP1 (Definizione dei requisiti dell'infrastruttura). Il WP1 ha come obiettivo primario “l'identificazione dei requisiti del progetto RITMARE e dei suoi SP in termini di infrastruttura per la gestione dei dati e processi.” L'Azione 2 di WP1 ha l'obiettivo di provvedere alla definizione dello stato dell’arte in ambito internazionale e nazionale in progetti e pratiche non incluse nelle comunità riferite a RITMARE per ciò che riguarda i requisiti architetturali e tecnologici di RITMARE come emerso in SP7_WP1_AZ1. In particolare, sono state considerate le soluzioni che favorisco l’interoperabilità al più alto livello e che si ritengono più promettenti per garantire la sopravvivenza dell’Infrastruttura nel lungo periodo. Le informazioni raccolte sono state organizzate in un archivio delle soluzioni la cui struttura è tale da permettere il confronto con i requisiti (WP1_AZ1). La struttura dell'archivio è stata concordata con WP2, WP3 e WP4_AZ1. Codice documento: SP7_WP1_AZ2_D01 pag. 5/65 2 Attività delle Unità Operative Le Unità Operative che lavorano in WP1_AZ2 sono: • UO01 ISMAR • UO02 IREA • UO03 OGS Tutte le Unità Operative hanno partecipato attivamente alle attività dell'Azione 2 WP1, sia in termini di collaborazione e scambio di informazioni e documenti, sia in termini di contributo effettivo alla creazione dell'archivio delle soluzioni esistenti fuori RITMARE. L'interazione è avvenuta principalmente via e-mail, ma sono stati effettuati anche alcuni incontri, sia fisici sia virtuali, per chiarire alcuni punti specifici e aggiornare l'andamento delle attività. L'Unità Operativa ISMAR ha partecipato attivamente alle attività dell'Azione 2 WP1, sia in termini di coordinamento, sia in termini di contributo effettivo alla creazione dell'archivio delle soluzioni esistenti fuori RITMARE. Le tre Unità Operative, congiuntamente, hanno contribuito a creare una lista di circa 60 iniziative potenzialmente di interesse per il progetto, di cui alla fine ne sono state selezionate 31 per il censimento effettivo, fornendo semplici metadati di base per la loro categorizzazione e la individuazione come soluzioni “interne” (WP2_AZ1) o “esterne” (WP1_AZ2) a RITMARE. La seguente tabella 2 mostra le iniziative selezionate per il censimento: Iniziativa Sito web AODN Argomarine BioMedBridges CIGNO EMBRC EMII-IMOS EMIS-GMIS Emodnet Chemistry EnvEurope http://portal.aodn.org.au/aodn/ ISTI http://www.argomarine.eu/ ISTI http://www.biomedbridges.eu SZN http://cigno.ve.ismar.cnr.it/ ISMAR http://www.embrc.eu/ SZN http://imos.aodn.org.au/imos/ ISTI http://emis.jrc.ec.europa.eu ISTI http://www.emodnet-chemistry.eu/ OGS http://www.enveurope.eu/ IREA http://www.eurogeoss.eu/broker/Pages/A ISMAR bouttheEuroGEOSSBroker.aspx http://www.eyeonearth.org ISMAR http://www.eurosites.info/ OGS http://www.geo-seas.eu/ OGS http://www.dta.cnr.it/content/view/2735/2 IREA 44/lang,en/ http://www.groom-fp7.eu OGS Euro-GEOSS broker EyeOnEarth EuroSITES Geo-Seas GIIDA GROOM Gulf of Mexico Data Atlas (NOAA) HALE http://gulfatlas.noaa.gov/ UO Esterna/Int erna WP1 WP1 WP2 WP2 WP2 WP1 WP1 WP2 WP2 WP1 WP1 WP2 WP2 WP2 WP2 ISTI WP1 http://www.dhpanel.eu/humboldt-framew ISTI ork/hale.html WP1 Codice documento: SP7_WP1_AZ2_D01 pag. 6/65 ICAN http://ican.science.oregonstate.edu/ http://www.i-marine.eu/Pages/Home.asp iMarine x InaSAFE - AIFDR http://inasafe.org INSPIRE http://inspire.jrc.ec.europa.eu/ Jerico http://www.jerico-fp7.eu/ LifeWatch http://www.lifewatch.eu/it LTER http://www.lter-europe.net/ MarBEF/iOBIS/EurOBIS http://www.marbef.org/ Marineexplore http://marinexplore.org MyOcean http://www.myocean.eu.org/ NODC-NOAA http://www.nodc.noaa.gov/ OBIS http://www.iobis.org PPRD South http://www.euromedcp.eu Programme - GeoSDI PublicData EU - CKAN http://publicdata.eu/ SeaDataNet/Emodnet http://www.seadatanet.org/ Virtual Ocean www.virtualocean.org/ Tab 2 ISMAR WP1 ISTI WP1 ISMAR ISMAR OGS IREA IREA ISTI ISMAR ISAC ISTI ISTI WP1 WP1 WP2 WP2 WP2 WP1 WP2 WP2 WP1 WP1 ISMAR WP1 ISMAR OGS IREA WP1 WP2 WP2 Per ciascuna delle soluzioni sopra elencate è stata compilata una scheda (descritta nel dettaglio nel paragrafo 2.4) contenente informazioni generali sull'iniziativa, le principali funzionalità fornite, i dati messi a disposizione e una prima valutazione preliminare sul suo grado di maturità per i fini del SP7 di RITMARE. Tale scheda è stata concordata insieme al responsabile di WP2_AZ1. Le schede oggetto di questo documento, cioè quelle contrassegnate dall'attributo WP1 nella colonna “Esterne/Interne” della tabella, vengono fornite come file in formato .xls e .ods allegati al presente deliverable. Per completezza e facilità di lettura, esse vengono anche inserite direttamente in questo documento come allegato nelle pagine seguenti. 2.2 UO01 ISMAR ISMAR ha avuto il ruolo di coordinatore dell'azione 2 WP1 e, in tale contesto, ha provveduto a coordinarsi ai vari livelli necessari per inquadrare l'attività nel quadro degli obiettivi del SP7. ISMAR ha mantenuto i contatti con le altre Unità Operative del WP1_AZ2 (UO02 IREA e UO03 OGS), condividendo e scambiando informazioni e documenti. L'UO01 ISMAR ha mantenuto stretti contatti con: • il responsabile di SP7, per l'inquadramento dell'Azione nel più ampio spettro delle attività del Sottoprogetto 7; • il responsabile del WP1, per l'interazione dell'Azione 2 con i risultati emersi dalla raccolta dei requisiti (Azione 1 WP1); • il responsabile dell'Azione 1 WP2 (Analisi dei prodotti, delle architetture e delle soluzioni tecnologiche), per il coordinamento nella creazione e popolamento delle schede di censimento delle soluzioni individuate • il responsabile dell'Azione 1 WP4_AZ1 (Analisi di confronto (gap analysis)) per concordare le modalità di descrizione delle soluzioni in modo che possano essere utilizzate efficacemente durante la fase di gap analysis. Tra quelle caratterizzate come “esterne”, l'UO01 ISMAR ha analizzato in particolare 7 infrastrutture/soluzioni/progetti (vedi Allegato 1 per le schede di dettaglio): Codice documento: SP7_WP1_AZ2_D01 pag. 7/65 2.3 • Euro-GEOSS broker, • EyeOnEarth, • ICAN, • InaSAFE – AIFDR, • INSPIRE, • Marineexplore • PPRD South Programme – GeoSDI, • PublicData EU – CKAN. UO02 IREA L’UO02 ha fornito supporto per la ricerca e il censimento di alcune soluzioni infrastrutturali per la catalogazione, gestione, visualizzazione e offerta di dati marini e marittimi, esistenti ed implementate al di fuori del consorzio di RITMARE. Secondo lo schema della base di dati di requisiti e soluzioni per il SP7, preparata all'interno dei lavori di WP1_AZ1 e WP4_AZ1, e in coordinamento con SP7_WP2 (Analisi delle soluzioni esistenti), sono state raccolte schede dettagliate che analizzano le seguenti soluzioni infrastrutturali esterne al progetto RITMARE (si allegano dette schede nell'Allegato 2): Tabella 2-1 Elenco delle iniziative censite dall’UO02 1. EMIS(JRC, EU) 2. Argomarine MIS (ISTI-CNR, Italia) 3. eMII (IMOS, Australia) 4. iMarine (ISTI-CNR, Italia) 5. NODC (NOAA, USA) 6. iOBIS (OBIS/IOC-IODE, Global) 7. MarBEF (Network of Eccellence, EU) 8. HALE (FP7 Project HUMBOLDT, EU) 9. Gulf of Mexico Data Atlas (NOAA, USA) 10. Virtual Ocean http://emis.jrc.ec.europa.eu/ http://www.argomarine.eu/ http://imos.org.au/emii.html http://www.i-marine.eu http://www.nodc.noaa.gov/ http://www.iobis.org/ http://www.marbef.org/ http://www.dhpanel.eu/humboldt-framew ork/hale.html http://gulfatlas.noaa.gov/ http://www.virtualocean.org/ Le attività svolte da UO02 sono state svolte in connessione e secondo le direttive del WP leader, con il costante aggiornamento sullo stato dei lavori di tutte le unità coinvolte tramite incontri fisici e virtuali. In aggiunta alle schede visibili nell'Allegato 2, sono state raccolte ulteriori informazioni per ciascuno dei progetti menzionati. Un esempio di tali informazioni raccolte per la descrizione di una soluzione infrastrutturale censita da UO02 è fornito nell'Allegato 3, relativamente all’infrastruttura eMII sviluppata da IMOS, Australia. Anche in vista del contesto internazionale in cui i lavori di Ritmare e di SP7_AZ2 sono inseriti, le informazioni sulle soluzioni esterne censite da UO02 sono state raccolte in lingua inglese. 2.4 UO03 OGS L'OGS (UO03 del WP1_AZ2) ha inizialmente valutato le ricerche, progetti e iniziative esistenti, sia concluse che in corso, a livello nazionale ed internazionale, le cui infrastrutture favoriscano l’interoperabilità al più alto livello e che si ritengano più promettenti per garantire la sopravvivenza dell’Infrastruttura RITMARE nel lungo periodo. Codice documento: SP7_WP1_AZ2_D01 pag. 8/65 Sono state individuate alcune iniziative sia interne che esterne a Ritmare, che possono essere utilizzate come spunto per lo sviluppo dell'infrastruttura Ritmare. L'UO ha contribuito a creare una lista delle iniziative da censire, svolgendo un'intensa attività di ricerca per reperire la documentazione necessaria per poter individuare le iniziative esterne a RITMARE che potessero con le loro funzionalità portare un contributo significativo alla realizzazione dell'infrastruttura RITMARE. Inoltre, l'UO ha contribuito, in collaborazione con le altre UO appartenenti al WP1 e con il WP2, alla scelta dei campi utilizzati per la descrizione delle iniziative ed alla raccolta delle codifiche utilizzate per la definizione del tipo di dato, delle funzionalità, del formato, della tipologia di aggregazione e della maturità dell'iniziativa. Congiuntamente all'attività di censimento delle iniziative esterne a RITMARE, l'UO si è occupata di collaborare con il WP leader per coordinare l'attività da svolgere in collaborazione con il WP2. Ciò si è svolto anche attraverso una serie di incontri fisici e virtuali. 2.5 Descrizione della scheda Si riporta di seguito la descrizione della struttura della scheda di censimento e delle informazioni acquisite. La scheda è suddivisa in quattro sezioni: 1) Identificazione, 2) Soluzioni, 3) Informazioni, 4) Maturità iniziativa/progetto. 1. Identificazione La sezione “Identificazione” contiene le informazioni per identificare e per descrivere l'iniziativa o il progetto analizzato: • Nome Iniziativa/Progetto: nome ufficiale o acronimo; • URL: indirizzo Web della Home Page del progetto o il riferimento alla principale pagina descrittiva; • Descrizione: descrizione sintetica del progetto con particolare riferimento agli aspetti di interesse dell'infrastruttura interoperabile di RITMARE; • Interna/Esterna: indicazione sulla classificazione dell'iniziativa in riferimento alla sua appartenenza alle comunità di RITMARE. Come evidenziato precedentemente, questo documento si focalizza sulle iniziative “Esterne”. • Coinvolgimento: descrizione del coinvolgimento e del rapporto tra le comunità di RITMARE e l'iniziativa in oggetto; • Tipologia: classificazione sintetiche; • Utenti: elenco dei differenti attori coinvolti che si avvalgono delle infrastrutture e delle funzionalità del progetto; • Commenti: eventuali commenti riportati dal compilatore. dell'iniziativa utilizzando una o più categorie 2. Soluzioni L'obiettivo di questa sezione è di descrivere le principali funzionalità implementate dall'iniziativa. Per ciascuna funzionalità sono riportate le seguenti informazioni: • Funzionalità: tipologia della funzionalità analizzata espressa su una lista di 14 categorie (Download, Upload, Visualizzazione, Trasformazione, Data entry, Analisi statistiche, Analisi spaziali, Analisi di serie temporali, Modellazioni, Analisi di testi, Interrogazione, Distribuzione, Discovery, Altro); • Beneficiario: una o più categorie di utenti che si avvalgono della funzionalità in oggetto; Codice documento: SP7_WP1_AZ2_D01 pag. 9/65 • Tecnologia: tecnologia utilizzata per implementare la funzionalità; • Ulteriori dettagli (obiettivi, vincoli, esigenze): eventuali dettagli per evidenziare le caratteristiche specifiche e gli elementi di interesse per l'infrastruttura di RITMARE. 3. Informazioni Descrizione dei dati e delle informazioni rese disponibili, utilizzate o gestite attraverso il progetto. • Descrizione generica del dato: breve descrizione della base di dati o del gruppo di risorse informative; • Beneficiario, utenti utilizzatori: elenco degli attori a cui si rivolge l'offerta informativa; • Ulteriori dettagli: informazioni aggiuntive per evidenziare le caratteristiche specifiche della risorsa informativa; • Tipo di dati: classificazione della tipologia dei dati, espressa su una lista di 9 categorie (Dati vettoriali, Coverage, Osservazioni e misure, Informazioni testuali, Programmi, Metadati, Ontologie – thesauri - dizionari controllati – tassonomie, Informazioni multimediali, altro); • Volume: dimensione indicativa dei dati in oggetto; • Unità di misura: unità di misura con cui è espresso il volume (es. GB, TB, PB) • Formato: formato/formati principali con cui sono distribuiti i dati espressi su una lista di 11 tipologie (txt, xls o xlsx, csv, shp, xml, JSON, postgres, tiff, jpeg, netcdf, mp3 – mp4); • Aggiornamento: frequenza di aggiornamento dei dati; • Aggregazione: livello di applicazione delle informazioni descrittive (metadati) espresse su una lista di 5 livelli/categorie (dataset, serie temporali, databases, cataloghi, fogli di calcolo); • Proprietà del dato: identifica il proprietario del dato; • Policy: policy di distribuzione e accesso alla risorse informative e licenze di utilizzo delle stesse; 4. Maturità Iniziativa/Progetto Prospetto sintetico (e puramente qualitativo e preliminare) per evidenziare il livello di maturità del progetto. La valutazione per tutti gli attributi è espressa su una scala a cinque livelli: Pessima, Debole, Media, Buona, Eccellente. • • Comunità utenti: giudizio sulla numerosità degli utenti coinvolti e sulla significatività della comunità; • Ricchezza funzionalità: valutazione sul numero, qualità e innovatività delle funzionalità implementate; • Ricchezza dati, formati, …: valutazione sul numero, qualità e specificità delle risorse informative gestite dall'iniziativa; Appropriatezza ai requisiti: grado di rispondenza di funzionalità e dati ai requisiti di RITMARE Codice documento: SP7_WP1_AZ2_D01 pag. 10/65 Allegato 1: Schede di soluzioni esistenti fuori RITMARE censite dall'UO01 ISMAR INSPIRE Nome iniziativa/progetto INSPIRE URL http://inspire.jrc.ec.europa.eu/ INSPIRE (Insfrastructure for Spatial Information in the European Community) è una Direttiva europea (2007/2/EC) che ha come scopo "stabilire norme generali volte all’istituzione dell'Infrastruttura per l'informazione territoriale nella Comunità europea per gli scopi delle politiche ambientali comunitarie e delle politiche o delle attività che possono avere ripercussioni sull'ambiente". La Direttiva INSPIRE comprende varie attività per l'attuazione dei principi fondanti della Direttiva, che vanno dalla definizione di regole per la creazione di sevizi web per la ricerca, visualizzazione, scaricamento, trasformazione di set di metadati, dati e servizi, alla definizione di modelli dati tematici per l'interoperabilità, alla creazione di un portale di accesso ai servizi resi disponibili dagli stati membri. Descrizione Interna/Esterna Esterna ISMAR è registrato come SDIC in INSPIRE: http://inspire.jrc.ec.europa.eu/index.cfm/pageid/42/list/7/id/34 Coinvolgimento 8750 (se interna) Tipologia Utenti Commenti legislazione europea, portale, catalogo metadati, servizi web stati membri della CE, PA, cittadini, ... Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 11/65 Soluzioni Funzionalità Beneficiario Tecnologia Ulteriori dettagli (obbiettivi, vincoli, esigenze) Download L'attuale geoportale (http://inspiregeoportal.ec.europa.eu/discovery/) implementa le funzioni di discovery e view. L'operational geoportal (in sviluppo) integrerà anche download e trasformazione Visualizzazione L'attuale geoportale (http://inspiregeoportal.ec.europa.eu/discovery/) implementa le funzioni di discovery e view. L'operational geoportal (in sviluppo) integrerà anche download e trasformazione Trasformazione L'attuale geoportale (http://inspiregeoportal.ec.europa.eu/discovery/) implementa le funzioni di discovery e view. L'operational geoportal (in sviluppo) integrerà anche download e trasformazione Discovery altro L'attuale geoportale (http://inspiregeoportal.ec.europa.eu/discovery/) implementa le funzioni di discovery e view. L'operational geoportal (in sviluppo) integrerà anche download e trasformazione Il metadata editor (http://inspiregeoportal.ec.europa.eu/editor/) è un applicativo web open source dedicato alla compilazione di metadati compliant con le richieste della Direttiva INSPIRE. Java e Permette di creare nuovi metadati o di importarne di librerie esistenti. Google Web Permette inoltre la validazione dei metadati stessi Toolkit secondo lo schema INSPIRE. Informazioni Descrizione generica del Benefic dato iario Ulteriori dettagli I dati che verranni resi disponibili dagli Stati Mebri della CE all'interno delle regole definite da INSPIRE comprendono dati appartenenti alle 34 categorie tematiche elencate nel sito di INSPIRE: http://inspire.jrc.ec.europ a.eu/index.cfm/pageid/2/li st/7 gli standard richiesti sono quelli definiti dalle Data Specifications (http://inspire.jrc.ec.eu ropa.eu/index.cfm/pag eid/2) per i modelli dati e dai Network Services (http://inspire.jrc.ec.eu ropa.eu/index.cfm/pag eid/5) per i vari servizi di rete. Tipo dati Propriet Unità di Format Aggiorn Aggreg à del Volume misura o amento azione dato Policy Dati vettoriali, Coverages, Raster, Osservazioni e misure, Thesauri, Dizionari controllati Maturità iniziativa/progetto Comunità Ricchezza Ricchezza dati, Appropiratezza utenti funzionalità formati, ... ai requisiti eccellente buona eccellente buona Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 12/65 InaSAFE - AIFDR Nome iniziativa/progetto InaSAFE - AIFDR URL http://inasafe.org; http://www.aifdr.org/ AIFDR (Australia-Indonesia Facility for Disaster Reduction) è un'iniziativa congiunta Australia - Indonesia. Nell'ambito di questa iniziativa è stato sviluppato il progetto InaSAFE (Indonesia Scenario Assessment for Emergency). InaSAFE è un software open-source (nella pratica un plugin di QGIS) per simulare scenari di impatto per i rischi naturali a supporto della piatificazione e della gestione delle emergenze. Descrizione Molte potenzialità sono legate all'utilizzo integrato in QGIS. Interna/Esterna Esterna Coinvolgimento (se interna) Tipologia Plugin GIS Desktop Utenti Ricercatori, pianificatori, protezione civile InaSAFE è un progetto giovane e non ancora maturo, ma in Commenti forte evoluzione Soluzioni Funzionalità Analisi spaziali Modellazioni Beneficiario Tecnologia Ricercatori, pianificatori, protezione civile QGIS plugin Ricercatori, pianificatori, protezione civile QGIS plugin Comunità utenti buona Maturità iniziativa/progetto Ricchezza Ricchezza dati, funzionalità formati, ... debole buona Codice documento SP7_WP1_AZ2_D01 Ulteriori dettagli (obbiettivi, vincoli, esigenze) Appropiratezza ai requisiti debole Allegato 1 pag. 13/65 PublicData EU Nome iniziativa/progetto PublicData EU URL http://publicdata.eu/; http://ckan.org/ Prototipo di ricerca (finanziato dal progetto LOD2-FP7) che implementa un catalogo pan-europeo e federato di dati. PublicData.eu utilizza CKAN come backend per l'harvesting dei metadati provenienti da 25 cataloghi di tutta Europa. Il portale è in grado di includere direcotry di geodati come i registri nazionali dell'inrastruttura INSPIRE. La raccolta dei dataset è automatica utilizzando API, ove presenti, o lo screen-scraping nei restanti casi. Alcune funzionalità chiave sono: gestione multilingua dei metadati; endpoint SPARQL (in aggiunta alle API CKAN) per consentire un facile accesso al catalogo strutturato di metadati; la categorizzazione si basa sulla normalizzazione tassonomica di EUROVOC. Tra le evoluzioni previste c'è l'implementazione del supporto completo per thesauri SKOS-based. Descrizione Interna/Esterna Esterna Coinvolgimento (se interna) Tipologia Portale per la condivisione ed il riuso di open data Utenti Commenti Soluzioni Funzionalità Distribuzione Download Visualizzazione Visualizzazione altro Upload Beneficiario Tecnologia Tutti CKAN: harvesting Tutti Grafici di dati tabellari Tutti Covering data Tutti preview Strumenti di social networking Comunity Databases e Community filesystem Codice documento SP7_WP1_AZ2_D01 Ulteriori dettagli (obbiettivi, vincoli, esigenze) Allegato 1 pag. 14/65 Informazioni Descrizione Benefi Ulteriori Tipo generica del dato ciario dettagli dati Finance and Budgeting (436) Social Questions (226) Volume Unità di misura 436 n di datasets 226 n di datasets Environment (215) Transportation (196) Education and Commu... (188) Agriculture, Fisher... (176) 215 n di datasets Population (145) Economy and Industry (114) 145 n di datasets Comunità utenti buona 196 n di datasets 188 n di datasets 176 n di datasets 114 n di datasets Aggiorn Aggreg Proprietà Formato amento azione del dato Policy Open dataset data Open dataset data Open dataset data Open dataset data Open dataset data Open data Open dataset data Open dataset data Maturità iniziativa/progetto Ricchezza Ricchezza dati, funzionalità formati, ... buona buona Appropiratezza ai requisiti buona Euro-GEOSS broker Nome iniziativa/progetto Euro-GEOSS broker http://www.eurogeoss-broker.eu/; http://www.eurogeoss.eu/broker/Pages/AbouttheEuroGEOSSBroker.aspx; URL http://essi-lab.eu/do/view/GIcat EuroGEOSS adotta un modello basato sul Brokering per realizzare l'interoperabilità multi-disciplinare e semplificare la condivisione e l'utilizzo dei dati. L'approccio basato sul Brokering non richiede ai fornitori di dati di adattarsi ad un modello di interoperabilità specifico ma permette agli stessi di utilizzare, per quanto possibile, i propri standard e strumenti software. In EuroGEOSS l'intermediazione è implementata con un Broker per ogni funzionalità principale: Discovery Broker, Access Broker, Semantic Broker. Descrizione L'implementazione del sitema di intermediazione utilizza la tecnologi GICat Interna/Esterna Esterna Coinvolgimento (se interna) Tipologia Framework di Brokering per le reti osservative Utenti Ricercatori Commenti Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 15/65 Soluzioni Funzionalità Beneficiario Tecnologia Brokering, WFS, Ricercatori WCS Ricercatori Brokering, WMS Distribuzione Visualizzazione Comunità utenti debole Ulteriori dettagli (obbiettivi, vincoli, esigenze) Maturità iniziativa/progetto Ricchezza Ricchezza dati, funzionalità formati, ... buona buona Appropiratezza ai requisiti buona ICAN Nome iniziativa/progetto ICAN (international coastal atlas network) URL http://ican.science.oregonstate.edu/; http://ican.science.oregonstate.edu/ amministrazioni per la condivisione di metodologie, esperienze e soluzioni tecnologiche per la gestione, distribuzione e l'utilizzo di dati, informazioni e conoscenza sulll'ambiente marino e costiero. ICAN propone un approccio basato sull'utilizzo degli Atlante Costieri (WebAtlas) come strumenti per divulgare la conoscenza ambientale (es. ai cittadini e comunità locali), per supportare la ricerca scientifica, per il supporto alle decisioni (es. policy maker) e per la pianificazione degli spazi marini e costieri. Oltre alla produzione di molteplici documenti (es. repor, articoli), la comunità ICAN sta sviluppando un thesauro ambientale per l'erosione costiera (ICAN Coastal Erosion) e un geo-portale prototipo per l'integrazione e diffusione delle informazioni ambientali contenute nella rete degli atlanti costieri. Il prototipo, nella sua versione attuale, è fortemte orientato Descrizione all'armonizzazione di dati ed informazione sull'erosione costiera. Interna/Esterna Esterna Coinvolgimento (se interna) Tipologia Community Utenti Ricercatori, pubbliche amministrazioni Le descirizioni delle soluzioni e delle informazioni sull'iniziativa riguardano sia la rete ICAN che il prototipo per l'erosione costiera Commenti Soluzioni Funzionalità altro (Thesauri Ontologie) altro (Documentazioni, Manuali) Distribuzione Visualizzazione Beneficiario Tecnologia Ricercatori, Sviluppatori Ricercatori, Sviluppatori Ricercatori, pianificatori Ricercatori, pianificatori Codice documento SP7_WP1_AZ2_D01 Ulteriori dettagli (obbiettivi, vincoli, esigenze) flash, cataloghi, ontologie, thesauri flash, WMS Allegato 1 pag. 16/65 Informazioni Descrizione generica del dato Dati erosine costiera Dati erosine costiera Beneficiario Ricercatori, pianificatori Ricercatori, pianificatori Ulteriori dettagli Tipo dati Dati vettoriali (shapefile, …) Coverage, Dati raster o immagini Comunità utenti media Unità Propri di Aggiorn Aggreg età del Volume misura Formato amento azione dato Policy Maturità iniziativa/progetto Ricchezza Ricchezza dati, funzionalità formati, ... debole debole Appropiratezza ai requisiti PPRD South Programme - GeoSDI Nome iniziativa/progetto PPRD South Programme - GeoSDI URL http://www.euromedcp.eu/; http://www.geosdi.org/ Programma finanziato dall'European Neighbourhood and Partnership Instrument (ENPI). Programma di cooperazione internazionale a supporto della attività di Protezione Civile tra l'Unione Europea ed i paesi partner del Mediterraneo e dei Balcani. Il programma è di interesse per l'utilizzo della piattaforma GeoSDI GeoPlatform inizialmente sviluppata per la Protezione Civile Italiana e finalizzata all'integrazione di informazioni geospaziali provenienti Descrizione da fonti differenti. Interna/Esterna Esterna Coinvolgimento (se interna) Tipologia Piattaforma GeoWeb / Open Source Utenti Protezioni civili europee e dei paesi partner Commenti Soluzioni Funzionalità Beneficiario Tecnologia WMS, WFS, Google comunità Earth Builder comunità comunità WFS, WCS comunità Visualizzazione Upload Download Distribuzione Utenti Utenti Utenti Utenti Analisi spaziali Analisi statistiche Utenti comunità WPS Utenti comunità API Codice documento SP7_WP1_AZ2_D01 Ulteriori dettagli (obbiettivi, vincoli, esigenze) upload GeoTIFF, shp es. Buffer, Centroide, Intersezioni Popolazione ISTAT Allegato 1 pag. 17/65 Comunità utenti debole Maturità iniziativa/progetto Ricchezza Ricchezza dati, funzionalità formati, ... buona media Appropiratezza ai requisiti Eye on Earth Nome iniziativa/progetto Eye on Earth URL http://www.eyeonearth.org/ Rete informativa pubblica e globale per la creazione e la condivisione online di dati ed informazioni ambientali, corredata di strumenti interattivi di web-mapping. Eye on Earth parte dal presupposto che la trasparenza e la condivisione di informazioni ambientali pertinenti e significative permettono di migliorare e di accrescere la conoscenza collettiva sullo stato dell'ambiente. La conoscenza porta ad una maggior consapevolezza delle problematiche e quindi facilita il coinvolgimento attivo dei cittadini. EoE è fomata da due componenti principali: i watches (Water Watch, Air Watch, Noise Watch, Nature Watch); e Eye on Earth Network. I Watches pubblicano i dati ambientali delle reti di monitoraggio istituzionali e li integrano con i dati prodotti ed inseriti dalle comunità locali e dai cittadini. Eye on Earth Network è invece una piattaforma per lo sviluppo collaborativo di mappe ed applicazioni per l'ambiente. La piattaforma utilizza la tecnologia dei servizi di cloud computing di ArcGIS online (ESRI) e di Windows Azure (Microsoft). Descrizione Interna/Esterna Esterna Coinvolgimento (se interna) Tipologia Utenti Commenti Piattaforma cloud GeoWeb. comunità scientifica, cittadini, associazioni naturalistiche Soluzioni Funzionalità Beneficiario Tecnologia Upload Visualizzazione cittadino cittadini, comunità scientifica cittadini, comunità scientifica Ulteriori dettagli (obbiettivi, vincoli, esigenze) Caricamento delle segnalazioni sulla qualità ambientale di aria, ArcGIS online acqua, rumore Caricamento, pubblicazione e condivisione di dati geospaziali ArcGIS online ambientali. ArcGIS online, Strumenti di webmapping e infovis Microsoft sulla qualità ambientale Analisi di serie temporali cittadini, comunità scientifica Combinazione di dati istituzionali e dati da crowdsourcing e generazioni di informazione di sintesi sulla qualità ambientale Upload Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 18/65 Informazioni Unità Propri di Aggiorn Aggreg età del Volume misura Formato amento azione dato Policy Descrizione generica del dato Beneficiario Ulteriori dettagli Qualità dell'aria cittadini Dati near real-time su tre principali inquinanti atmosferici (NO2, O3, PM10) a livello europeo. I dati provengo dalla reti osservative Osservazioni e istituzionali (es. SINAnet per l'Italia) misure ner realtime cittadini Dati near real-time sulla qualità dell'acqua a livello europeo. I dati provengo dalla reti osservative Osservazioni e istituzionali (es. SINAnet per l'Italia) misure ner realtime cittadini Dati puntuali sulle fonti di emissione di rumore monitorate dalla normativa europea e una valutazione dell'EEA per le sorgenti di rumore nelle Osservazioni e maggiori città europee. misure ner realtime Informazioni geolocalizzate sulla presenza di specie aliene invasive. cittadini, comunità Dati raccolti in modalità Presenza di specie scientifica, crowdsourcing utilizzando interfaccie Osservazioni e aliene invasive associazioni web o applicazioni smart phone. misure non regolare Qualità dell'acqua Rumore Dati ambientali geospaziali eterogenei Tipo dati Dati vettoriali (shapefile, …), Coverage, Dati raster o immagini cittadini, comunità scientifica, associazioni non regolare Marineexplore Nome iniziativa/progetto URL Descrizione Interna/Esterna Coinvolgimento (se interna) Tipologia Utenti Marineexplore http://marinexplore.org Portale orientato al mondo marino/oceanografico. Contiene funzionalità tipo community, con interazione tra utenti, possibilità di postare articolie seguire utenti e ifromazioni. Richiede registrazione. Ha un'ottima interfaccia di ricerca, visualizzazione e download di dati; ricco di funzionalità anche avanzate. esterna portale comunità marina/oceanografica, principalmente scientifica non non esclusivamente Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 19/65 Funzionalità Download Beneficiario Tecnologia anche OpeNDAP Upload Visualizzazione ? Visualizzazione di mappe di base, coverages, dati puntuali, grafici I dati possono essere esportati in vari formati I grafici riassumono anche semplici statistiche dei dati Trasformazione Analisi statistiche Analisi di serie temporali La visualizzazione dei grafici agisce anche su serie temporali. Anche la selezione del dato può tenere conto dell'intervallo temporale. La ricerca dei dati può essere filtrata per parametri, tipi di strumenti, progetto, istituzione, tempo. Non ci sono attualmente metadati standard, ma è prevista la creazione di metdati ISO 19115 compliant C'è la possibilità di visualizzare grafici interattivi su dati o aree selezionate per vari parametri Interrogazione altro Descrizione generica del Beneficiar Ulteriori Tipo dati dato io dettagli Acidity, Air pressure, Air I dati sono sia Dati vettoriali pressure tendency, Air da strumenti (shapefile, …) temperature, Chlorophyll, in situ, sia da Coverage, Conductivity, Dewpoint piattaforme Dati raster o temperature, Dominant satellitari immagini period wave direction, Osservazioni Dominant wave period, Gust e misure direction, Gust speed, Ontologie, Lowest pressure in a hour, thesauri, Oxygen, Precipitation, dizionari Salinity, Solar radiation, controllati, Surface visibility, tassonomie Temperature, Turbidity, Water column height, Water level, Wave direction, Wave height, Wave period, Wind direction, Wind speed, Wind wave height, Wind wave period Soluzioni Ulteriori dettagli (obbiettivi, vincoli, esigenze) Il download è limitato inizialmente a 3 dataset al giorno e a una finestra temporale di 7 giorni. I limiti possono essere aumentati invitanto nuovi utenti a registrarsi al sito. E' possibile accedere a dataset già definiti usand applicazioni OpeNDAP quali Ferret, GrADS, Matlab, Python, R, IDV, ODVe vengono forniti tutorial ed esempi Informazioni Unità di Formato Aggiorna misura mento Le statistiche varie vari: csv per del sito I dati dicono che puntuali sono presenti 36,952 In-Situ Platforms, 1,579,342,636 Point Measurement s Volume Comunità utenti media (circa 5600 utenti registrati) Aggregazio ne I dati sono organizzati in qualche forma di database Proprietà del dato Policy I dati sono raccolti da una serie di siti, Le sorgenti progetti e istituzioni e “semplicemente” dati utilizzati organizzati e resi disponibili all'interno di per popolare Marineexplore. Marineexploe Questa la liste delle fonti: sembrano NOAA NDBC Buoys (and more); GTS rilasciare I Buoys; Rutgers Slocum Gliders; Liquid dati in open Robotics Wave Gliders; Argo Float data o con Program; JPL OurOcean GHRSST; NASA modalità Aquarius; NOAA NCDC Sea Surface comunque Winds; NOAA CoastWatch Wind Diffusivity aperte. (Ekman) Currents; NOAA AOML/CoastWatch Geostrophic Currents; NOAA NWS NCEP GEOWaFS (WAVEWATCH III); UCAR Dai et al. 2009 River Discharge Data; Bermuda Atlantic Time-Series Study; Baltic Operational Oceanographic System; Meteorological Aerodrome Report; NOAA Ocean Surface Current Analyses – Real time; International Comprehensive Ocean-Atmosphere Data Set; Newport Hydrographic Line; SeaOS; MyOcean; Ship Of Opportunity Programme; ETOPO1 Global Relief Bedrock Model; High Frequency Radar: Water Currents; JASADCP: Joint Archives of Acoustic Doppler Current Profiler Maturità iniziativa/progetto Ricchezza Ricchezza dati, funzionalità formati, ... Appropiratezza ai requisiti eccellente buona Codice documento SP7_WP1_AZ2_D01 buona Allegato 1 pag. 20/65 Allegato 2: Schede di soluzioni esistenti fuori RITMARE censite dall'UO02 IREA Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 21/65 a. EMIS-GMIS (JRC) Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 22/65 Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 23/65 b. ARGOMARINE Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 24/65 c. eMII - IMOS Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 25/65 Soluzioni Funzionalità Visualizzazione Download Analisi spaziali Interrogazione Beneficiario Utente generico Utente generico Utente generico Utente generico Codice documento SP7_WP1_AZ2_D01 Tecnologia Ulteriori dettagli (obbiettivi, vincoli, esigenze) Servizi WMS OPENDAP Transect graphing via OpenLayers PstgreSQL database + Geonetwork catalogue Allegato 1 pag. 26/65 d. iMarine Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 27/65 e. National Oceanographic Data Center - NOAA Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 28/65 Informazioni Descrizione generica Ulteriori dettagli del dato Emergency Published each year for the Atlantic hurricane season, the NOAA Extreme Weather information (contacts) Information Sheets provide critical information for contacting government officials and monitoring information resources.Contains valuable state and local emergency numbers, NOAA websites, media outlets, and evacuation information for residents. Tipo dati Formato Aggiornamento Aggregazione Informazioni multimediali pdf (fotografie, video, audio, …) Yearly List of documents Sea temperature Near real-time temperatures from NOAA's National Ocean Service (NOS) tidal stations and Physical Oceanographic Real-Time System (PORTS®) and most recent (within the past six hours) temperatures from NOAA's National Data Buoy Center (NDBC) moored buoys. Osservazioni e misure ASCII Continuous, Monthly mean Dataset Air Temperature, Winds, Mean Sea Level Pressure, Sea temperature, Significant Wave Height, Precipitation, Accumulated and actual, Current Velocity Provides access to real-time and recent weather, oceanographic, water-level and stream gauge observations. Osservazioni e misure NetCDF 48 hours, continuous Dataset Species habitats, Habitat impact, Bathymetry, Salinity, Human impact data NCDDC and National Marine Fisheries pilot projects for habitat monitoring and Dati vettoriali (shapefile, …) shp, NetCDF Not regular assessment. This map combines fish habitat information with marine fishery species distribution for analysis in the Gulf of Mexico. Scale dependent drawing is used extensively to control visualization of human impact, physical oceanographic, baseline, and particularly habitat type data. Species distributions are available based upon common name, category (such as lifestage cycle i.e. adult or juvenile) or activity stage (commercial, recreational, spawning) and/or time period of interest. Dataset Essential Fish Habitats (Coastal Migratory Pelagics, Coral, Red Drum, Reef Fish, Shrimp, Spiny Lobster) Habitat Impact Data (Oyster bars-reefs, Seagrasses) National Wetlands Index Bottom Sediments Environmental Sensitivity Physical Data (Bathymetry, Salinity) Human Impact Data (Wrecks and Obstructions, Artificial Reefs, Oil and Gas Platforms, Oil and Gas Pipelines, Shipping Fairways, Spoils) Species habitats, Habitat impact, Bathymetry, Salinity, Human impact data Near-real-time shipboard measurements of bottom dissolved oxygen on anoxic and hypoxic conditions in the western and north-central Gulf of Mexico Dati vettoriali (shapefile, …) shp Campaign, real time Dataset Osservazioni e misure ASCII Not regular Dataset Coral reef area data Single point of access to NOAA coral reef information and data products, especially those Osservazioni e misure (images, observations) derived from NOAA's Coral Reef Conservation Program. ASCII Not regular Dataset Acidity, Meteorology The Pacific Islands Climate Change Virtual Library provides web accessible climate data, Sea temperature, information and products such as adaptation guides, case studies, and decision support Sea level, tools relevant to Pacific Island coastal managers. Precipitation Climate variability Habitat change Ocean acidification Ocean warming Precipitation changes Seal evel rise pdf, html Not regular Dataset Algal bloom Integrated information system for managing HAB data, events, and effects occurences (severity) Informazioni testuali Current data Acoustic Doppler Current Profilers (ADCPs) are a common component within shipboard Osservazioni e misure instrumental packages onboard UNOLS, NOAA, and Navy fleets. During the late 1980s, the data quality was limited by lack of continuous Global Positioning System (GPS) coverage and uncertainties in the ship's heading information. By the mid 1990s, the quality improved significantly due to the 24-hour GPS coverage, differential GPS techniques, and the advent of GPS heading sensors. With reliable heading and navigation data, absolute currents in the upper ocean are determined. The data provide fine resolution in time (~5 minutes), depth (~10m), and horizontal distance (~2 km) throughout the duration of a cruise. ASCII, NetCDF Hourly averaged Dataset Sea temperature profile, Sea salinity profile The Global Climate Observing System (GCOS) recognizes the Global Temperature and Osservazioni e misure Salinity Profile Programme (GTSPP) as one of the international operational activities that provide essential, sub-surface climate variables of temperature and salinity profile data. GTSPP provides timely and complete data with documented quality flags and implements internationally agreed quality control and overall management of ocean data fully in accordance with the GCOS action plan ASCII, NetCDF Near real time Dataset, aggregated dataset Sea temperature profile, Sea salinity profile, pressure Argo daily data include real-time and delayed-mode profiles of ocean temperature and salinity measured by the Argo profiling floats. Osservazioni e misure ASCII, NetCDF Near real time Dataset Sea temperature profile, Sea salinity profile, pressure Argo daily data include real-time and delayed-mode profiles of ocean temperature and salinity measured by the Argo profiling floats. Osservazioni e misure ASCII, NetCDF Near real time Dataset Bathymetry, Sea temperature, temperature profiles, Salinity profiles, Meteorology data, Plankton count, Clorpophyll concentration, Nutrients concentration Provides access to global scientifically quality-controlled ocean profile and plankton data Osservazioni e misure that includes measurements variables gathered since 1773. Ocean Station Data High Resolution CTD/XCTD Bathythermograph Profiling Floats Drifting Buoys Moored Buoys Glider data ASCII, NetCDF Not regular Dataset Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 29/65 Informazioni Descrizione generica Ulteriori dettagli del dato Salinity, Heat content Data distribution figures for temperature and salinity observations, temperature and salinity anomaly fields for depths 0-2000m, heat content and steric sea level (thermosteric, halosteric, total). Tipo dati Osservazioni e misure Formato Aggiornamento Aggregazione ASCII, NetCDF Not regular Dataset, aggregated dataset, time series, graphs Salinity distribution and anomalies Data distribution figures, salinity climatologies, and salinity anomaly fields associated with Osservazioni e misure "Linear trends in salinity for the World Ocean 1955-1998" by Timothy P. Boyer, S. Levitus, J.I. Antonov, R.A. Locarnini, and H.E. Garcia published in Geophysical Research Letters. ASCII Not regular Dataset, aggregated dataset, time series, graphs Sea temperature distribution and anomalies Data distribution figures, temperature anomaly fields, and heat content fields associated Osservazioni e misure with "Warming of the World Ocean: 1955-2003, Levitus, Antonov, and Boyer" published in Geophysical Research Letters. ASCII Not regular Dataset, aggregated dataset, time series, graphs Sea surface temperature (skin) Extension of and improvement on the sea surface temperature (SST) fields from the older Coverage, Dati raster o NOAA/NASA AVHRR Oceans Pathfinder project immagini NetCDF Daily, Dataset reprocessing bias Sea surface temperature (skin) Individual as well as multi-sensor blended SST products with high accuracy and fine Coverage, Dati raster o spatial resolution. NODC maintains the long term archive and works with the NASA immagini JPL/Caltech Physical Oceanography Distributed Active Archive Center (PO.DAAC) Global Data Assembly Center (GDAC) to provide stewardship of these valuable data sets. NODC also leads the reanalysis component of GHRSST, which coordinates international individual and multi-sensor efforts to produce more accurate and consistent Level 2 (swath), Level 3 (gridded), and Level 4 (gap free, gridded) SST climate data record analysis products for the global ocean. resolution 1km and up. NetCDF Daily, Dataset, reprocessing bias aggregated dataset Sea surface topography/level Altimeter data and products from the Geosat and Jason-2 Missions. Coverage, Dati raster o immagini NetCDF Daily, Dataset, reprocessing bias aggregated dataset Sea surface The CoRTAD contains a collection of sea surface temperature (SST) and related thermal Coverage, Dati raster o temperature, anomaly stress metrics, developed specifically for coral reef ecosystem applications but relevant immagini to other ecosystems as well. The CoRTAD contains global, approximately 4 km resolution SST data on a weekly time scale from 1982 through 2008 (Version 2). In addition to SST, it contains SST anomaly (SSTA, weekly SST minus weekly climatological SST), thermal stress anomaly (TSA, weekly SST minus the maximum weekly climatological SST), SSTA Degree Heating Week (SSTA_DHW, sum of previous 12 weeks when SSTA is greater than or equal to 1 degree C), SSTA Frequency (number of times over previous 52 weeks that SSTA is greater than or equal to 1 degree C), TSA DHW (TSA_DHW, also known as a Degree Heating Week, sum of previous 12 weeks when TSA is greater than or equal to 1 degree C),and TSA Frequency HDF 4-5 Weekly Dataset, aggregated dataset Salinity, Sea temperature, Bathymetry, Wind speed and direction, Air temperature, pressure and humidity Standard suite of shipboard sensor data (also known as underway data) from each NOAA Osservazioni e misure ship with the Scientific Computer System (SCS). These data include measurements of salinity and temperature from thermosalinographs, bottom depth, wind speed and direction, atmospheric temperature, pressure and humidity, position and date/time. The NODC archives, quality-controls, and loads these data into the Shipboard Sensor Database (SSD), which may be queried by date, position, and data type, and from which data may be downloaded. ASCII Campaign Dataset, aggregated dataset Chlorophyll concentration, Turbidity Overview of the NOAA archive services being provided for Level 2 (L2) ocean color Coverage, Dati raster o products generated by CoastWatch from SeaWiFS, MODIS and MERIS, which consists immagini primarily of spatial information on chlorophyll-a concentration, as well as turbidity (reflectance). The L2 ocean color products generated by CoastWatch from SeaWiFS, MODIS and MERIS data consist primarily of spatial information on chlorophyll-a concentration, as well as turbidity (reflectance), covering 13 CoastWatch regions globally. Products derived from all three sensors have approximately 1 km-per-pixel resolution, and will be delivered as both daily and 61-day composites. HDF Daily, Dataset, reprocessing bias aggregated dataset Wind, Waves, Meteorology data Official archive of historical wind, wave, and other marine data collected by the NOAA National Data Buoy Center (NDBC). The data are collected from moored buoys and from C-MAN (Coastal-Marine Automated Network) stations located on piers, offshore towers, lighthouses, and beaches Osservazioni e misure F291, NetCDF Daily Dataset, aggregated dataset Sea level, Water quality, Ocean acidification Educational curriculum materials that deliver scientific data and information into the classroom. Current modules include Sea Level, El Nino, and Water Quality. Informazioni multimediali Text, ASCII, (fotografie, video, audio, …) TIFF Not regular Dataset Photos jpg Not regular Images Multimedia Contains over 32,000 images & photos which capture the work, observations, and studies Informazioni multimediali of NOAA employees. (fotografie, video, audio, …) CD-ROM and DVD data products currently available from the NODC Informazioni multimediali (fotografie, video, audio, …) Atlas, Nautical charts, NOAA Central Library's (NCL) map collection contains cartographic material published by Coverage, Dati raster o various government agencies immagini Information Free quarterly publication that reports on NOAA environmental data and information Informazioni multimediali programs, projects, and activities. (fotografie, video, audio, …) Posters, Flyers, NODC Publications currently available from the NODC Informazioni multimediali Reports (fotografie, video, audio, …) CD-ROM, DVD jpg Not regular Dataset Not regular Images pdf Quarterly Multimedia pdf, html Not regular Multimedia Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 30/65 f. Ocean Biogeographic Information System (OBIS) Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 31/65 g. MarBEF Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 32/65 Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 33/65 h. HALE-The HUMBOLDT Alignment Editor Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 34/65 i. Gulf of Mexico Data Atlas - NOAA Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 35/65 Informazioni Descrizione generica del dato Bathymetry Ulteriori dettagli Digital Elevation Model of the Gulf of Mexico, Integrating Bathymetric and Topographic Datasets. Tipo dati Formato Aggiornamento Aggregazione Proprietà del dato Coverage, Dati PNG,JPG,TIF Not regular raster o F, wms, wcs, immagini kml No aggregation Copyright: National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Coverage, Dati PNG,JPG,TIF Not regular raster o F, wms, wcs, immagini kml No aggregation Copyright: National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Dissolved Oxygen Climatological mean fields of dissolved oxygen for the winter season (January - March) on a one degree Coverage, Dati PNG,JPG,TIF Not regular grid have been calculated. Dissolved oxygen concentration measured by chemical methods is often raster o F, wms, kml analyzed following various modifications of the Winkler titration followed by end-detections by visual, immagini amperometric, or photometric methods. Measurements are in ml/l. Scientifically quality-controlled historical in situ dissolved oxygen data in the World Ocean Database 2009 obtained by chemical methods were used to construct annual, seasonal, and monthly climatological distribution fields of dissolved oxygen, apparent oxygen utilization (AOU), and dissolved oxygen saturation at selected standard depth levels of the world ocean on a one-degree latitude-longitude grid. No aggregation Copyright: National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Hipoxia frequency Using a 10min x 10min grid, the lowest minimum values of dissolved oxygen are presented as well as number of years. This analysis is based on the Southeast Area Monitoring and Assessment Program (SEAMAP) summer groundfish surveys from 2001 through 2011. This grid only shows those cells considered hypoxic (0 to 2.0 mg/l). No aggregation Copyright: Nelson May, NOAA Fisheries Service; Tiffany Toft, National Coastal Data Development Center Bottom geology/type, Seabed sediments This is a compilation of diverse data sets, describing the nature of seabed materials. The data is in the Coverage, Dati PNG,JPG,TIF Not regular form of griddings, rendered as polygons: raster o F, wms, kml • Dominant bottom type immagini • Mud content • Sand content • Gravel content • Rock content • Loose sediments type No aggregation Copyright: Chris Jenkins, INSTAAR, University of Colorado Nutrients phosphate Scientifically quality-controlled historical in situ phosphate data in the World Ocean Database 2009 Coverage, Dati PNG,JPG,TIF Not regular obtained by chemical methods were used to construct annual, seasonal, and monthly climatological raster o F, wms, kml distribution fields of phosphate at selected standard depth levels of the world ocean on a one-degree immagini latitude-longitude grid. Most of the historical data were collected over the continental shelf near shallow intertidal areas (< 200 m depth). No aggregation Copyright: National Oceanographic Data Center, NOAA/NESDIS, Department of Commerce Nutrients nitrates Scientifically quality-controlled historical in situ nitrates data in the World Ocean Database 2009 Coverage, Dati PNG,JPG,TIF Not regular obtained by chemical methods were used to construct annual, seasonal, and monthly climatological raster o F, wms, kml distribution fields nitrates at selected standard depth levels of the world ocean on a one-degree immagini latitude-longitude grid. Most of the historical data were collected over the continental shelf near shallow intertidal areas (< 200 m depth). No aggregation Copyright: National Oceanographic Data Center, NOAA/NESDIS, Department of Commerce Nutrients silicate Scientifically quality-controlled historical in situ silicate data in the World Ocean Database 2009 Coverage, Dati PNG,JPG,TIF Not regular obtained by chemical methods were used to construct annual, seasonal, and monthly climatological raster o F, wms, kml distribution fields of silicate at selected standard depth levels of the world ocean on a one-degree immagini latitude-longitude grid. Most of the historical data were collected over the continental shelf near shallow intertidal areas (< 200 m depth). No aggregation Copyright: National Oceanographic Data Center, NOAA/NESDIS, Department of Commerce Winds Gridded, high resolution ocean surface vector winds and wind stresses on a global 0.25 degree grid. Coverage, Dati PNG,JPG,TIF Not regular This is the seasonal spring average of wind speeds from 1990 to 2010. Spring covers the months of raster o F, wms, kml March, April, and May. Summer, fall, and winter seasons are also available. immagini Blended vector sea surface winds (at 10-m above sea level) and surface windstresses (stresses felt by the water). The wind speeds are blended from multiple satellites [up to six, including Scatterameters (QuikSCAT), SSMIs, TMI and AMSR-E] observations, on a global 0.25-degree grid and time resolution of 6-hourly, as four 'instantaneous' global snapshots per day at UTC/GMT 00, 06, 12 and 18Z. The blended speeds are then decomposed into (u,v) components using the NCEP Re-analysis 2 (NRA-2) wind directions interpolated onto the blended speed grid. The 6-hourly (u,v) instantaneous fields are provided at our data site, and the speed itself can be simply computed as w=(u^2+v^2)^0.5, which is exactly the blended speed from the multiple satellites. This analysis was done for the seasonal spring average from 1990 to 2010. No aggregation Copyright: National Climatic Data Center, NESDIS, NOAA Sea Skin temperature 4 km NODC/RSMAS AVHRR Pathfinder Version 5 Annual Day-Night Sea Surface Temperature Climatologies for 1982-2009 for the Gulf of Mexico. No aggregation Copyright: Kenneth S. Casey, National Oceanic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC), and Edward J. Kearns, Vicki Halliwell, and Robert Evans, University of Miami, Rosenstiel School of Marine and Atmospheric Science (RSMAS) Sea temperature Five year mean for fall, as estimated from MODIS/Aqua satellite imagery, for sea surface temperature Coverage, Dati PNG,JPG,TIF Not regular in northern Gulf of Mexico. MODIS-Aqua satellite imagery from January 2005 - December 2009 was raster o F, wms, wcs, used to calculate sea-surface temperatures using standard NASA processing algorithms. In situ data immagini kml from the Southeast Area Monitoring and Assessment Program (SEAMAP) program were overlaid on the modeled data. Both the satellite data and the SEAMAP data were then reclassified into Coastal and Marine Ecological Classification Standard (CMECS) Water Column component categories. The CMECS is a catalog of terms that provides a means for classifying ecological units using a simple, standard format and common terminology. CMECS offers a way to organize and interpret data about the marine environment, and it provides a common platform for inter-relating data. No aggregation Copyright: Rebecca Allee, NOAA Gulf Coastal Services Center; Mark Finkbeiner, NOAA Coastal Services Center; Richard Gould Jr., Naval Research Laboratory; Dong-Shan Ko, Naval Research Laboratory; David Lary, University of Texas; Janis Kurtz, EPA Gulf Breeze Laboratory; Christopher Madden, South Florida Water Management District; Kathleen Goodin, NatureServe Sea temperature change Five year mean for fall, as derived from reanalysis of the Naval Research Laboratory, Stennis Space Coverage, Dati PNG,JPG,TIF Not regular Center (NRL/SSC) Intra-Americas Sea Ocean Nowcast/Forecast System (IASNFS), of temperature raster o F, wms, wcs, differences (temperature at the surface and at bottom layer or to 100 meters depth) in northern Gulf of immagini kml Mexico. In situ data from the Southeast Area Monitoring and Assessment Program (SEAMAP) program were overlaid on the modeled data. Both the modeled data and the SEAMAP data were then reclassified into Coastal and Marine Ecological Classification Standard (CMECS) categories. The CMECS is a catalog of terms that provides a means for classifying ecological units using a simple, standard format and common terminology. CMECS offers a way to organize and interpret data about the marine environment, and it provides a common platform for inter-relating data. No aggregation Copyright: Rebecca Allee, NOAA Gulf Coastal Services Center; Mark Finkbeiner, NOAA Coastal Services Center; Richard Gould Jr., Naval Research Laboratory; Dong-Shan Ko, Naval Research Laboratory; David Lary, University of Texas; Janis Kurtz, EPA Gulf Breeze Laboratory; Christopher Madden, South Florida Water Management District; Kathleen Goodin, NatureServe Salinity Climatological mean fields of seawater salinity for the winter season (January - March) on a 1/4 degree grid have been calculated. At 10 meters depth, salinity shows the changing seasonal effect of the movement of waters from the Mississippi Outflow and other coastal waters. No aggregation Copyright: National Oceanographic Data Center, NOAA/NESDIS, Department of Commerce Salinity Five year mean for fall, as estimated from MODIS/Aqua satellite imagery, for sea-surface salinity in Coverage, Dati PNG,JPG,TIF Not regular northern Gulf of Mexico. The ocean color imagery from the MODIS-Aqua satellite from January 2005 - raster o F, wms, wcs, December 2009 was used to estimate sea-surface salinity. This is based on the empirical relationship immagini kml between color dissolved organic matter (CDOM) absorption and salinity. In situ data from the Southeast Area Monitoring and Assessment Program (SEAMAP) program were overlaid on the modeled data. Both the satellite data and the SEAMAP data were then reclassified into Coastal and Marine Ecological Classification Standard (CMECS) Water Column component categories. The CMECS is a catalog of terms that provides a means for classifying ecological units using a simple, standard format and common terminology. CMECS offers a way to organize and interpret data about the marine environment, and it provides a common platform for inter-relating data. Elevation and Digital Elevation Model along the Gulf of Mexico, Integrating Bathymetric and Topographic Datasets. Bathymetry Codice documento SP7_WP1_AZ2_D01 Coverage, Dati PNG,JPG,TIF Not regular raster o F, wms, kml immagini Coverage, Dati PNG,JPG,TIF Not regular raster o F, wms, kml immagini Osservazioni e wms, kml misure Not regular No aggregation Copyright: Rebecca Allee, NOAA Gulf Coastal Services Center; Mark Finkbeiner, NOAA Coastal Services Center; Richard Gould Jr., Naval Research Laboratory; Dong-Shan Ko, Naval Research Laboratory; David Lary, University of Texas; Janis Kurtz, EPA Gulf Breeze Laboratory; Christopher Madden, South Florida Water Management District; Kathleen Goodin, NatureServe Allegato 1 pag. 36/65 Informazioni Descrizione generica del dato Ulteriori dettagli Tipo dati Formato Aggiornamento Aggregazione Proprietà del dato Salinity Average annual salinity broken into 3 zones for the Gulf of Mexico. The salinity zones are: - Tidal Fresh Coverage, Dati PNG,JPG,TIF Not regular (0 - 0.5 parts per thousand) - Mixing (0.5 - 25 parts per thousand) - Seawater Zone (25 parts per raster o F, wms, kml thousand or greater). immagini No aggregation Copyright: National Ocean Services, Special Projects Office, NOAA Sea temperature Climatological mean fields of seawater temperature for the winter season (October - December) on a 1/4 Osservazioni e PNG,JPG,TIF Not regular degree grid have been calculated. At 10 meters depth, temperatures show the effects of surface forcing, misure F, wms, kml mainly from the annual cycle of solar radiation. Our main source of subsurface temperature information is in situ measurements obtained from instruments carried aboard oceanographic research and merchant ships. Measurements are in celsius. No aggregation Copyright: National Oceanographic Data Center, NOAA/NESDIS, Department of Commerce Coverage, Dati PNG,JPG,TIF Not regular raster o F, wms, kml immagini No aggregation Copyright: Department of Commerce (DOC),National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) Chloropyll, productivity Five year mean for fall, as estimated from satellite imagery, of chlorophyll in northern Gulf of Mexico. Coverage, Dati PNG,JPG,TIF Not regular Processed MODIS-Aqua satellite imagery from January 2005 - December 2009 were used to derive raster o F, wms, wcs, chlorophyll concentrations using the OC3 algorithm. In situ data from the Southeast Area Monitoring and immagini kml Assessment Program (SEAMAP) program were overlaid on the modeled data. Both the satellite data and the SEAMAP data were then reclassified into Coastal and Marine Ecological Classification Standard (CMECS) Water Column component categories. The CMECS is a catalog of terms that provides a means for classifying ecological units using a simple, standard format and common terminology. CMECS offers a way to organize and interpret data about the marine environment, and it provides a common platform for inter-relating data. No aggregation Copyright: Rebecca Allee, NOAA Gulf Coastal Services Center; Mark Finkbeiner, NOAA Coastal Services Center; Richard Gould Jr., Naval Research Laboratory; Dong-Shan Ko, Naval Research Laboratory; David Lary, University of Texas; Janis Kurtz, EPA Gulf Breeze Laboratory; Christopher Madden, South Florida Water Management District; Kathleen Goodin, NatureServe Coral • Chemosynthetic sites are points showing the approximate location of chemosynthetic communities in Osservazioni e PNG,JPG,TIF Not regular the Gulf of Mexico. This data does not identify all the chemosynthetic communities in the Gulf of misure F, wms, kml Mexico. It identifies communities that have been verified to exist. The data represents a point in the gulf whereas a chemosynthetic community inherently will actually dwell in an area. • Deep sea coral: Structure-forming corals have an upright orientation and a rigid, complex branching structure of calcium carbonate or horn-like protein. The group includes black corals (Antipatharia), stony corals (Scleractinia), sea fans (Gorgonacea, aka gorgonians), and lace corals (Stylasterina), among others. No aggregation Copyright: Bureau of Ocean Energy Management, Gulf of Mexico OCS Region; National Centers for Coastal Ocean Science (NCCOS), NOS, NOAA, Department of Commerce Coastal area • Land cover analysis of Landsat imagery taken in 2006 for coastal areas of Texas, Louisiana, land cover Mississippi, Alabama, and Florida. • The core area of the Grand Bay National Estuarine Research Reserve (NERR) consists of approximately 12,800 acres of estuarine tidal marsh, tidal creeks or bayous; shallow, open-water habitats; oyster reefs; seagrass beds; maritime forests; salt flats; sandy beaches; and shell middens. • Mangrove communities for Florida, Texas, and Mexico. Includes four species - red mangrove, brown mangrove, white mangrove, and buttonwood. Distribution based on 2000-2005 analysis. Phytoplankto The Phytoplankton Monitoring Network (PMN) was established as an outreach program for monitoring n marine phytoplankton and harmful algal blooms (HABs). In the Gulf of Mexico, HAB blooms observed by the network include Alexandrium monilatum, Dinophysis ovum, Karlodinium micrum, Prorocentrum minimum, Pseudo-nitzschia pseudodelicatissima, Pseudo-nitzschia multiseries, and Pseudo-nitzschia pungens. Osservazioni e PNG,JPG,TIF Not regular misure F, wms, wcs, kml No aggregation Copyright: Steve Morton, Marine Biotoxins Program, National Ocean Service, NOAA Submerged vegetation Coverage, Dati PNG,JPG,TIF Not regular raster o F, wms, kml immagini No aggregation Copyright: USGS National Wetlands Research Center, Southwest Florida Water Management District, Texas Parks and Wildlife Department, Coastal Conservation Branch Osservazioni e PNG,JPG,TIF Not regular misure F, wms, kml Dataset Copyright: National Marine Fisheries Service; Gulf States Marine Fisheries Commission Essential Fish Habitats (EFH) are defined in the Magnuson-Stevens Act as "...those waters and Coverage, Dati PNG,JPG,TIF Not regular substrate necessary to fish for spawning, breeding, feeding, or growth to maturity." The rules raster o F, wms, kml promulgated by the NMFS in 1997 and 2002 further clarify EFH with the following definitions: waters immagini aquatic areas and their associated physical, chemical, and biological properties that are used by fish and may include aquatic areas historically used by fish where appropriate; substrate - sediment, hard bottom, structures underlying the waters, and associated biological communities; necessary - the habitat required to support a sustainable fishery and the managed species' contribution to a healthy ecosystem; and spawning, breeding, feeding, or growth to maturity - stages representing a species' full life cycle. The area defined includes Gulf of Mexico waters and substrates extending from the US/Mexico border to the boundary between the areas covered by the Gulf of Mexico Fishery Management Council and the South Atlantic Fishery Management Council from estuarine waters out to depths of 100 fathoms. Dataset Copyright: NOAA Fisheries Service, Southeast Regional Office Osservazioni e PNG,JPG,TIF Not regular misure F, wms, kml Dataset Copyright: National Marine Fisheries Service; Gulf States Marine Fisheries Commission Economic activities, onshore and offshore • Shipping and Navigation: Map depicting the shipping fairways, submarine cables, and wrecks and Osservazioni e PNG,JPG,TIF Not regular obstructions for the Gulf of Mexico. misure F, wms, kml • Oil and Gas Structures: Location of drilling platforms in the Gulf of Mexico as of July 2011. • Oil and Gas Pipelines: Pipelines in the Gulf of Mexico which include oil, gas and H2S (oil and gas). This includes proposed, active, and out of service as of July 2011. • Borrow Sites: Coastal restoration, beach nourishment, and levee reconstruction are crucial to mitigate future coastal erosion, land loss, flooding, and storm damage in the Gulf of Mexico. The success of that long-term effort depends on locating and securing significant quantities of OCS sediment resources that are compatible with the target environments being restored. Offshore sand resources, like upland sources, are extremely scarce where most needed. Additionally, vast areas of these relatively small offshore sand resources are not extractable because of the presence of oil and gas infrastructure, archaeologically sensitive areas, and biologically sensitive areas. Dataset Copyright: NOAA's Coastal Services Center, NOAA's Office of Coast Survey; Bureau of Ocean Energy Management, Department of the Interior; Gulf of Mexico OCS Region Demographic s Discharges, Incidents This web map illustrates the population density in the United States in 2010. Population density is the number of people per square mile. Results of sediment and bivalve tissue chemistry analysis for Polynuclear Aromatic Hydrocarbons (PAH) between the years of 1999 and 2009. This data is from the Mussel Watch Program that monitors U.S. estuarine and coastal waters for organic contaminants and trace metals since 1986. Mussel Watch supports NOAA ecosystem-based management through an integrated program of environmental monitoring, assessment, and research to describe the current status of pollution and to detect changes in the environmental quality of our nation's estuarine and coastal waters. Location of oil spills from 2000 to 2010 for which NOAA's Office of Response and Restoration provided scientific support for the response. Data are from IncidentNews, and broken into maximum spill release in gallons categories of 0, minor (<10,000 gallons), medium (10,000 - 100,000 gallons), and major (>100,000 gallons). Dati vettoriali PNG,JPG,TIF Not regular (shapefile, …) F, wms, kml Osservazioni e PNG,JPG,TIF Not regular misure F, wms, kml No aggregation No aggregation Copyright: Center for Coastal Monitoring and Assessment, National Centers for Coastal Ocean Science , National Ocean Service, NOAA; Emergency Response Division, Office of Response and Restoration, National Ocean Service, NOAA Euphotic depth, Five year mean for fall, as estimated from MODIS/Aqua satellite imagery, for euphotic depth in northern Coverage, Dati PNG,JPG,TIF Not regular Gulf of Mexico. MODIS-Aqua satellite data from January 2005 - December 2009 was processed to raster o F, wms, wcs, calculate euphotic depth. This is based on first estimating the absorption and backscattering immagini kml coefficients of the water from the satellite remote sensing reflectance values and then using those coefficients to estimate the euphotic depth. In situ data from the Southeast Area Monitoring and Assessment Program (SEAMAP) program were overlaid on the modeled data. Both the satellite data and the SEAMAP data were then reclassified into Coastal and Marine Ecological Classification Standard (CMECS) Water Column component categories. The CMECS is a catalog of terms that provides a means for classifying ecological units using a simple, standard format and common terminology. CMECS offers a way to organize and interpret data about the marine environment, and it provides a common platform for inter-relating data. No aggregation Copyright: Rebecca Allee, NOAA Gulf Coastal Services Center; Mark Finkbeiner, NOAA Coastal Services Center; Richard Gould Jr., Naval Research Laboratory; Dong-Shan Ko, Naval Research Laboratory; David Lary, University of Texas; Janis Kurtz, EPA Gulf Breeze Laboratory; Christopher Madden, South Florida Water Management District; Kathleen Goodin, NatureServe Phosphorus, Estimated nitrogen delivered to the estuaries along the Gulf of Mexico (U.S. only). Delivered yield is an Coverage, Dati PNG,JPG,TIF Not regular nitrogen estimate of the amount of nitrogen delivered to an estuary divided by the area of the upstream drainage raster o F, wms, kml area that drains into the estuary. This is a statistical model that integrates monitoring data with immagini landscape information. Units are kg/km2/year. No aggregation Copyright: US Dept of the Interior/USGS National Water-Quality Assessment Boundaries - Several authoritative marine boundary layers (contiguous zone, exclusive economic zone, revenue Political and sharing boundary, state seaward boundary, territorial sea) have been combined at a national scale and Georegulatory standardized based on existing FGDC and OGC data standards. Dati vettoriali PNG,JPG,TIF Not regular (shapefile, …) F, wms, kml No aggregation Copyright: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), Coastal Services Center Federal protected areas in the United States are lands and waters owned and/or managed by the federal Dati vettoriali PNG,JPG,TIF Not regular government to preserve or enhance natural, historical, cultural, wildlife, and aesthetic values and (shapefile, …) F, wms, kml resources. Federal areas in the Gulf of Mexico include wildlife refuges managed by the US Fish and Wildlife Service; components of the US National Park Service such as monuments, memorials, parks, preserves, and seashores; forest lands managed by the US Forest Service; estuarine reserves managed by states funded by the National Oceanic and Atmospheric Administration; and marine sanctuaries managed by the National Oceanic and Atmospheric Administration. No aggregation Copyright: USDA Forest Service, National Park Service (NPS), National Oceanic and Atmospheric Administration (NOAA), U.S. Fish and Wildlife Service Seagrass habitats for the Gulf of Mexico. Seagrasses provide nursery areas, spawning areas, and foraging habitats for fish, fowl, and reptiles. Fish Relative abundance of some fish species (including shaks observations) taken during the Southeast communities Area Monitoring and Assessment Program (SEAMAP) fishery-independent Summer and Fall Shrimp/Groundfish Surveys from 1987 to 2009. Species habitats Invertebrates Relative abundance of invertebrate species taken during the Southeast Area Monitoring and communities Assessment Program (SEAMAP) fishery-independent Summer and Fall Shrimp/Groundfish Surveys from 1987 to 2009. Protected areas Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 37/65 j. Virtual Ocean Nome iniziativa/progetto URL Descrizione Virtual Ocean http://www.virtualocean.org/ It is a virtual globe integrating the GeoMapApp tool suite with the NASA World Wind 3-D earth browser to create a powerful new platform for interdisciplinary research and education. It is the desktop client to the datasets belonging to the Marine Geoscience Data System (GMDS). GMDS is a multidisciplinary data repository, part of the community-based data-facility IEDA (Integrated Earth Data Applications) of the US National Science Foundation (NSF). GMDS provides access to data portals for the NSF-supported Ridge 2000 and MARGINS, and GeoPRISMS programs, the Antarctic and Southern Ocean Data Synthesis, and the Academic Seismic Portal. These portals provide free public access to a wide variety of marine geoscience data collected throughout the global ocean. Several MGDS data sets are accessible in Virtual Ocean through live OGC-standard Web services. Options are also provided for users to import their own data sets Interna/Esterna Esterna Coinvolgimento (se interna) Tipologia Appicativo desktop in multipiattaforma (JAVA) Funzionalità Beneficiario Tecnologia Discovery Ricercatori, GeoMapApp professori e studenti, cittadino in genere Visualizzazio Ricercatori, GeoMapApp ne professori e + NASA studenti, World Wind cittadino in genere Vestizione Ricercatori, professori e studenti Gestione tabella Ricercatori, professori e studenti Ricercatori, professori e studenti Ricercatori, professori e studenti, cittadini in genere Plotting Download (selezione e download) Soluzioni Ulteriori dettagli (obbiettivi, vincoli, esigenze) Utilizzo di menu a tendina (anche tear off) per scegliere fra le categorie di data sets disponibili e visualizzare i bounding box dei singoli datasets Basi di dati proposte già aggregate, possibilità di scegliere anche macro-aree geografiche. Visualizzazione della tabella degli attributi associate al layer selezionato, link risorsa e/o al metadato. Estrusione sopra o sotto la superficie dei punti quotati, in modo che un segment evidenzi la loro distanza dal livello della superficie stessa. GeoMapApp Modifica vestizione dei layer interattiva su attributo + NASA selezionato, tramite istogramma delle frequenze World Wind cambiamento scala colore e dimensioni dei simboli con aggiornamento immediato. GeoMapApp Possibilità di modificare gli attributi presenti in tabella del + NASA layer attivo. World Wind GeoMapApp Possibilità di creare scatter plot fra coppie di attributi + NASA presenti nella tabella del layer analizzato, zoomare in World Wind particolari parti GeoMapApp È possibile salvare il dato tabellare in vari formati di testo + NASA sul proprio computer. È possibile fare una selezione con World Wind uno strumento lasso prima di eseguire il download. Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 38/65 Informazioni Descrizione generica del dato Atmosphere and precipitation Beneficiario Ulteriori dettagli tutti Global network of isotope in precipitation Volu Unità di Form Aggiorna Aggregazi Tipo dati me misura ato mento one Proprietà del dato Policy osservazioni Medie su IAEA aperto lungo termine Deep Submergence Dive tutti Locations Earthquakes and Plate tutti Boundaries Dive locations Earthquakes locations osservazioni Earthquakes and Plate Boundaries Earthquakes and Plate Boundaries Earthquakes and Plate Boundaries Earthquakes and Plate Boundaries Heatflow Measurements tutti Plate boundaries osservazioni tutti Global Seismic events osservazioni tutti EarthScope Station Locations tutti Earthquake Hazards Program ShakeMaps Global Heat Flow Data ricercatori, education Heatflow Measurements ricercatori, education aperto stazioni Near-real-ti Per USGS me intervallic di magnitudo University of California Near-real-ti Princeton University me US gov osservazioni 2010-2013 aperto osservazioni Continental Heat Flow (Pollack et osservazioni al, 1991) Heatflow Measurements ricercatori, education Hurricane Tracks tutti Ocean Crust and ricercatori, Sediment Acoustic education Velocities Oceanic Hydrothermal ricercatori, Vents education Oceanic Hydrothermal ricercatori, Vents education Oceanic Hydrothermal ricercatori, Vents education Oceanic Hydrothermal ricercatori, Vents education Oceanic Hydrothermal ricercatori, Vents education Ocean Weather Today (Waves, Air Pressure, Temperature) tutti Ocean NRL-HYCOM Nowcast (Temperature, Salinity, Height and Currents) tutti Modern Temperature and ricercatori, Vegetation education Reconstructions Modern Temperature and ricercatori, Vegetation education Reconstructions Late Glacial Temperature ricercatori, and Vegetation education Reconstructions Heatflow and Thermal Gradients at Ocean Floor Drillsites Hurricane Data Sediment and Crustal Velocities from Sonobuoy Solutions Diebold Global Vent Distribution InterRidge East Pacific Rise Spreading Center at 9 50'N Lau Basin osservazioni Endeavor Segment - Juan de Fuca Ridge Spreading Center Mid-Atlantic Ridge osservazioni Late Glacial Temperature ricercatori, and Vegetation education Reconstructions ricercatori, Seabed Sediment Color education ricercatori, education Seabed Sediment Color ricercatori, Seabed Sediment Color education ricercatori, Seafloor Photos education The International Heat Flow Commission The International Heat Flow Commission 1851-2008 1996 compilation osservazioni non regolare non regolare non regolare non regolare non regolare osservazioni osservazioni Marine Geo aperto aperto aperto aperto aperto aperto aperto aperto aperto ridireziona a portale nrlssc.navy Modern and Late Glacial Sea Surface Temperatures for Winter and Summer - CLIMAP simulazioni Modern and Late Glacial Sea Surface Temperatures for Winter and Summer - CLIMAP simulazioni different sources aperto aperto ridireziona a portale oceanweather Late Glacial Maximum (18ka) Reconstructions of Soils, Vegetation, Ice Cover - climap simulazioni DIRTMAP Version 2 - Eolian Fluxes from Ice, Sediments and Terrestrial Deposits simulazioni Data Table: Seabed Natural Color from dbSEABED Database osservazioni Seabed Natural Color from Core Tops of LDEO Deep-Sea Sample Repository osservazioni Seabed Natural Color from USGS East-Coast Sediment Database osservazioni aperto aperto osservazioni osservazioni osservazioni aperto Abbott Compilation aperto Oceanic Heat Flow (Pollack et al, osservazioni 1991) Heatflow Measurements ricercatori, education USGS aperto aperto aperto credits http://d oi.pang aea.de/ 10.1594 /PANG AEA.55 158? format= html aperto IAEA (in progress) aperto IAEA aperto USGS aperto stazioni Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 39/65 Allegato 3: Il caso Infrastructure (eMII) eMarine Information Marine data and information are the main products of IMOS, and data management is therefore a central element to the project's success. eMII (http://imos.aodn.org.au/imos/) provides a single integrative framework for data and information management that allows discovery and access of the data by scientists, managers and the public. The IMOS Ocean Portal is an opensource project based on AODN initiatives and is available on GitHub repository (https://github.com/aodn/aodn-portal). The AODN Portal web application is built largely on Grails and ExtJS. Grails is an opensource framework for web development using Groovy. We chose Grails as our core framework because we need to rapidly respond to changing user requirements and feature requests. Grails is one of the modern frameworks that allow the rapid development of web applications using approaches such as “convention over configuration”. This approach allows Grails (rather than the developer) to manage the configuration of the underlying components. Grails is built on reliable Java technologies such as Spring (for controller logic, run-time configuration, transactions etc) and Hibernate (for object-relational mapping) - all of which are managed by the Grails framework. Groovy (the programming language used by Grails) works with existing Java libraries. For this reason, it fits well with the eMII environment, which includes many Java based applications. Grails uses the popular MVC (Model, View, Controller) design pattern, and encourages the separation of business logic into service classes. The portal's administrator interface is built with straight Grails. The client-side user interface is built using ExtJS, which is an opensource JavaScript library. The map functionality is implemented using OpenLayers, which is an opensource JavaScript library for displaying interactive maps. The portal application is backed by a PostgreSQL database, and uses the Grails Object Relational Mapping (GORM) implementation to persist the domain objects. The search functionality, however, is delivered by GeoNetwork, which is a Java based metadata catalog for geospatial data. eMII is an active member of the GeoNetwork opensource community. The spatial search aspect of the portal's broader search capability has been further enhanced by a custom (Grails based) spatial search index that sits in-between the portal and the catalog. This was developed to ensure that search results from spatial queries not only overlap the bounding box supplied by the user, but that spatial features actually exist in the requested region. Authentication is implemented using OpenID, which is an open standard that allows users to consolidate their digital identities. OpenID is provided by many large web sites including Google. There is an IMOS OpenID provider. The solution allows portal users to access the help forum (and potentially other IMOS web apps) using a single IMOS (or other OpenID) identifier. Authorisation (ie. access to features once logged in) within the portal is implemented with Apache Shiro (using a Grails plugin). The help forum is based on Drupal, which is a popular content management system. Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 40/65 Unit testing and integration testing of the Grails components is implemented using the Grails unit testing framework (which uses the popular Java unit testing framework jUnit). The JavaScript is tested using Jasmin. Continuous integration is configured with Jenkins. There are separate instances of the portal application for IMOS, the AODN and state regional views. The separate instances have been re-skinned and configured to point to the appropriate GeoNetwork and WMS servers. All instances run on Apache Tomcat under CentOS. Map layers are delivered via servers supporting the OGC WMS standard. The metadata records that describe the IMOS data conform to the ISO19115 Marine Community Profile. The IMOS data is largely stored as NetCDF files. The netCDF files are served by THREDDS. Figura 1-1 Architettura schematica dell’infrastruttura di eMII IMOS Data Licensing Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 41/65 IMOS data is licensed under a Creative Commons Attribution 2.5 Australia Licence. Any users of IMOS data are required to clearly acknowledge the source of the material in the format: "Data was sourced from the Integrated Marine Observing System (IMOS) - IMOS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy and the Super Science Initiative." If relevant, also credit other organisations involved in collection of the particular datastream (as listed in 'credit' in the metadata record). Riferimenti - Contatti: General Enquiries/Helpdesk +61 (03) 6226 7488 T +61 (03) 6226 8575 F email: [email protected] Director: Dr Roger Proctor University of Tasmania (Private Bag 21; Hobart TAS 7001) +61 (03) 6226 1977 T +61 (03) 6226 8575 F email: [email protected] Descrizione della soluzione: DATA IMOS Facilities, operated by ten different institutions within the National Innovation System, are funded to deploy equipment and deliver data streams for use by the entire Australian marine and climate science community and its international collaborators. They provide the data included in the catalogues of eMII, under different streams, listed here: 1. Array for Real-time Geostrophic Oceanography (ARGO) 2. Ships Of Opportunity (SOOP) 3. Southern Ocean Time Series (SOTS) 4. Australian National Facility for Gliders (ANFOG) 5. Autonomous Underwater Vehicle (AUV) 6. Australian National Mooring Network (ANMN) 7. Australian Coastal Ocean Radar Network (ACORN) 8. Australian Acoustic Tagging and Monitoring System (AATAMS). 9. Facility for Automated Intelligent Monitoring of Marine Systems (FAIMMS) 10. Satellite Remote Sensing (SRS) Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 42/65 Tabella 2-2 descrizione dettagliata delle categorie informative Information category Observations/Measur es (ARGO) Observations/Measur es (ARGO) Observations/Measur es (ARGO) Observations/Measur es (SOOP) X Detailed description Extended description This dataset contains temperature data of the Argo Australia floats, an array of profiling floats that measure temperature and salinity down to 2000 m every 10 days in real time. Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated dataset, graphs Data Sea Temperature - Vertical temperature profiles content/parameters Updating 10 days, real time updating frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended This dataset contains salinity data of the Argo description Australia floats, an array of profiling floats that measure temperature and salinity down to 2000 m every 10 days in real time. Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated dataset, graphs Data Sea Salinity content/parameters Updating 10 days, real time updating frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended This dataset contains dissolved oxygen data of a description subset of the Argo Australia floats, an array of profiling floats that measure temperature and salinity down to 2000 m every 10 days in real time. Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated dataset, graphs Data Dissolved Oxygen content/parameters Updating 10 days, real time updating frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended Enhancement of Measurements on Ships of description Opportunity (SOOP)-Sea Surface Temperature (SST) aims to supply near real-time SST data (within 24 hours) from SOOPs and research vessels in the Australian region. The data files contain SST underway observations from an SBE 38 sensor installed in a seawater intake collected on trips of a French research and Antarctic resupply vessel participating in the Australian Volunteer Observing Fleet (RV L'Astrolabe - FHZI) between Hobart (Tasmania) and Dumont D'Urville (Antarctica). The voyages take place during the Austral summer. The data are instantaneous hourly measurements. The data Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 43/65 have been quality controlled by the Bureau of Meteorology. Observations/Measur es (SOOP) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset, time series Data Sea Temperature - Surface temperature content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended This dataset contains temperature data obtained description from XBTs (expendable bathythermographs) deployed by vessels during different cruises between Mauritius, Fremantle (Australia) and Melbourne (Australia). Expendable Bathythermographs (XBTs) have been used for many years by oceanographers to measure the temperature of the upper ocean. These instruments are simple devices which are designed to be deployed from moving vessels, enabling broad scale coverage of the world's oceans. Observations/Measur es (SOOP) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset, aggregated datasets Data Sea Temperature - Vertical temperature profiles content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended This data set was collected by the SOOP description sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson and RV Solander trips Deployment Information for Salinity at 1.9m measured by SBE 21 conductivity cell. The unit of salinity is PSU, which is dimensionless. The units attribute should be given as 1e-3 or 0.001 i.e. parts per thousand if salinity is in PSU. Observations/Measur es (SOOP) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset Data Sea Conductivity/Salinity content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended This dataset contains environmental observations description as well as ship parameters (such as speed and direction). Enhancement of Measurements on Ships of Opportunity (SOOP)- Air Sea Flux (ASF) R.V. Southern Surveyor and RV Aurora Australis collect Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 44/65 underway meteorological and oceanographic observations during scientific voyages in the oceans adjacent to Australia. Data streams are fed into the existing ship data management system, and broadcast via satellite back to Australia 3-hourly. The observations are quality controlled at the Bureau of Meteorology and air-sea fluxes calculated using the COARE Bulk Flux algorithm. A daily file of 1-minute averages of the observations are generated shortly after 0000UTC and provided. The data is contained in NetCDF format files and consists of environmental observations as well as ship parameters (such as speed and direction). Wind is observed with two different sensors, and the relative (observed) and true (relative to fixed earth) wind speed and direction provided. Air temperature and humidity is observed on the port and starboard of the main mast. Short-wave (sunlight) and long-wave (infra-red radiation or heat, from sky and clouds) is observed on the port and starboard side of the monkey island (above the bridge). Precipitation is observed with an optical rain-gauge and traditional siphon gauge from the foremast. Observations/Measur es (SOOP) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset Data Meteorology content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended This data was collected by the IMOS Ship of description Opportunity Underway CO2 Measurement research group on RV Southern Surveyo and RV l'Astrolabe The fugacity of carbon dioxide (fCO2) in surface seawater was measured using a General Oceanics Inc. automated system (Model 8050; Pierrot et al 2009). Seawater is sprayed into an equilibration chamber and CO2 in the headspace gas equilibrates with the seawater. The headspace gas is pumped through a thermoelectric condenser followed by a nafion drying tube before flowing through a Licor 7000 non-dispersive infrared gas analyser used to measure the CO2 mole fraction (XCO2) of the dried air. The gas flow is stopped temporarily for the CO2 measurements, which are made at atmospheric pressure. A set of four CO2 standards that cover the range of CO2 values expected in the ocean are analysed about every four hours to calibrate the gas analyser. The standard gas concentrations are on the WMO-X2007 mole fraction scale for CO2-in-air. Atmospheric XCO2 (dry) is measured after the standards by pumping clean outside air from an intake on the forward mast of the ship. The seawater intake is located at about 5.5m depth in Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 45/65 the bow of the ship. Observations/Measur es (SOOP) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset Data Dissolved CO2 content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended This data set was collected by the SOOP description sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson and RV Solander trips Deployment Information for Fluorescence at 1.9m measured by FLNTU-RT Optical sensor (Turbidity and Fluorescence). Observations/Measur es (SOOP) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level Dataset, aggregated dataset, graphs Data Optical - Fluorescence content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended This data set was collected by the SOOP description sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson and RV Solander trips Deployment Information for Turbidity at 1.9m measured by FLNTU-RT Optical sensor (Turbidity and Fluorescence). Observations/Measur es (SOOP) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level Dataset, aggregated dataset, graphs Data Optical - Turbidity content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Continuous Plankton Recorder description Sub-Facility (AusCPR) uses a number of Continuous Plankton Recorders (CPR), the only platform that can assess plankton species and be towed behind ships of opportunity. Species-level data are vital to examine mesoscale productivity, biodiversity, and climate impacts on marine ecosystems. Two seasonal routes will be operated, in the Southern Ocean, and the East Australian Current. In addition, data from Southern Ocean CPR (SO-CPR) surveys are available. Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 46/65 Observations/Measur es (ANFOG) Volume/quantity Formats/conventi csv ons Software/Tools used Aggregation level Dataset Data Biological - Plankton content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The dataset contains temperature, salinity and description biological parameters like for example dissolved oxygen and turbidity data measured by gliders (Seaglider and Slocum) in Australian sea. The Australian National Facility for Ocean Gliders (ANFOG) located at the University of Western Australia manages gliders to monitor the boundary currents surroundings Australia. Seaglider (operating down to 1000m depth) and Slocum (operating down to 200m depth) glider data from the oceans around Australia have been collected by ANFOG since June 2008 and are ongoing. The data are obtained from an onboard Seabird-SBE41 CTD (Conductivity, Temperature, Depth) Observations/Measur es (ANFOG) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset, aggregated datasets, graphs Data Sea Temperature - Vertical temperature profiles content/parameters Updating Campaign deployment frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The dataset contains temperature, salinity and description biological parameters like for example dissolved oxygen and turbidity data measured by gliders (Seaglider and Slocum) in Australian sea. The Australian National Facility for Ocean Gliders (ANFOG) located at the University of Western Australia manages gliders to monitor the boundary currents surroundings Australia. Seaglider (operating down to 1000m depth) and Slocum (operating down to 200m depth) glider data from the oceans around Australia have been collected by ANFOG since June 2008 and are ongoing. The data are obtained from an onboard suite of instruments which include Seabird-SBE41 CTD (Conductivity, Temperature, Depth). Volume/quantity Formats/conventi ons Software/Tools used Aggregation level Data content/parameters Updating frequency Codice documento SP7_WP1_AZ2_D01 NetCDF NetCDF-Java ToolsUI dataset, aggregated datasets Sea Conductivity/Salinity Campaign deployment Allegato 1 pag. 47/65 Observations/Measur es (ANFOG) Data policy Extended description Creative Commons Lic (CC BY 2.5 AU) The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by gliders (Seaglider and Slocum) in Australian sea. The Australian National Facility for Ocean Gliders (ANFOG) located at the University of Western Australia manages gliders to monitor the boundary currents surroundings Australia. Seaglider (operating down to 1000m depth) and Slocum (operating down to 300m depth) glider data from the oceans around Australia have been collected by ANFOG since June 2008 and are ongoing. The data are obtained from an onboard suite of instruments which include Aanderaa oxygen optode (measuring concentration of dissolved oxygen in seawater). Observations/Measur es (ANFOG) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset, aggregated datasets Data Dissolved Oxygen content/parameters Updating Campaign deployment frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The dataset contains temperature, salinity and description biological parameters like for example dissolved oxygen and turbidity data measured by gliders (Seaglider and Slocum) in Australian sea. The Australian National Facility for Ocean Gliders (ANFOG) located at the University of Western Australia manages gliders to monitor the boundary currents surroundings Australia. Seaglider (operating down to 1000m depth) and Slocum (operating down to 200m depth) glider data from the oceans around Australia have been collected by ANFOG since June 2008 and are ongoing. The data are obtained from an onboard suite of instruments which include WETLabs BBFL2SLO 3 parameter optical sensor (measuring Chlorophyll-a, CDOM and 700nm Backscatter) Observations/Measur es (ANFOG) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset, aggregated datasets Data Optical - Fluorescence content/parameters Updating Campaign deployment frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The dataset contains temperature, salinity and description biological parameters like for example dissolved oxygen and turbidity data measured by gliders (Seaglider and Slocum) in Australian sea. The Australian National Facility for Ocean Gliders (ANFOG) located at the University of Western Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 48/65 Australia manages gliders to monitor the boundary currents surroundings Australia. Seaglider (operating down to 1000m depth) and Slocum (operating down to 200m depth) glider data from the oceans around Australia have been collected by ANFOG since June 2008 and are ongoing. The data are obtained from an onboard suite of instruments which include WETLabs BBFL2SLO 3 parameter optical sensor (measuring Chlorophyll-a, CDOM and 700nm Backscatter) Observations/Measur es (ANFOG) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset, aggregated datasets Data Optical - Turbidity content/parameters Updating Campaign deployment frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The dataset contains temperature, salinity and description biological parameters like for example dissolved oxygen and turbidity data measured by gliders (Seaglider and Slocum) in Australian sea. The Australian National Facility for Ocean Gliders (ANFOG) located at the University of Western Australia manages gliders to monitor the boundary currents surroundings Australia. Seaglider (operating down to 1000m depth) and Slocum (operating down to 200m depth) glider data from the oceans around Australia have been collected by ANFOG since June 2008 and are ongoing. The data are obtained from an onboard suite of instruments which include WETLabs BBFL2SLO 3 parameter optical sensor (measuring Chlorophyll-a, CDOM and 700nm Backscatter) Observations/Measur es (ANMN) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset, aggregated datasets Data Optical - CDOM content/parameters Updating Campaign deployment frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. There are seven sub-facilities in the ANMN: four regional sub-facilities, a series of National Reference Stations (NRS). The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 49/65 Temperature is measured by SBE37, SBE39 instruments. Observations/Measur es (ANMN) Observations/Measur es (ANMN) Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets, time series, graphs Data Sea Temperature - Surface temperature content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. There are seven sub-facilities in the ANMN: four regional sub-facilities, a series of National Reference Stations (NRS), Acoustic Observatories and an Acidification Moorings sub-facility. The ANMN sub-facilities are: a) Queensland and Northern Australia b) New South Wales c) Southern Australia d) Western Australia e) Acoustic Observatories f) National Reference Stations (Coordination and Analysis) g) Acidification Moorings The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. The regional moorings monitor the interaction between boundary currents and shelf water masses and their consequent impact upon ocean productivity (e.g. Perth Canyon Upwelling; Kangaroo Island Upwelling) and ecosystem distribution and resilience (e.g. Coral Sea interaction with the Great Barrier Reef ). Operation of the network is distributed between several operators and coordinated nationally. Temperature is measured by SBE37, SBE39, Wetlabs WQM, Aqualogger 520 and FSI NXIC instruments, depending on the moored buoy payload. Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets, time series, graphs Data Sea Temperature - Sub surface temperature content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. There are seven sub-facilities in the ANMN: four regional sub-facilities, a series of Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 50/65 National Reference Stations (NRS), Acoustic Observatories and an Acidification Moorings sub-facility. The ANMN sub-facilities are: a) Queensland and Northern Australia b) New South Wales c) Southern Australia d) Western Australia e) Acoustic Observatories f) National Reference Stations (Coordination and Analysis) g) Acidification Moorings The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. The regional moorings monitor the interaction between boundary currents and shelf water masses and their consequent impact upon ocean productivity (e.g. Perth Canyon Upwelling; Kangaroo Island Upwelling) and ecosystem distribution and resilience (e.g. Coral Sea interaction with the Great Barrier Reef ). Operation of the network is distributed between several operators and coordinated nationally. Salinity is measured by SBE37, SBE39, Wetlabs WQM, Aqualogger 520, FSI NXIC instruments, depending on the moored buoy payload, as well as Salinity bottle samples at reference station sites. Observations/Measur es (ANMN) Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets, time series, graphs Data Sea Conductivity/Salinity content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. There are seven sub-facilities in the ANMN: four regional sub-facilities, a series of National Reference Stations (NRS), Acoustic Observatories and an Acidification Moorings sub-facility. The ANMN sub-facilities are: a) Queensland and Northern Australia b) New South Wales c) Southern Australia d) Western Australia e) Acoustic Observatories f) National Reference Stations (Coordination and Analysis) g) Acidification Moorings The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. The regional moorings monitor the interaction between boundary currents and shelf water masses and their consequent impact upon ocean productivity (e.g. Perth Canyon Upwelling; Kangaroo Island Upwelling) and Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 51/65 ecosystem distribution and resilience (e.g. Coral Sea interaction with the Great Barrier Reef ). Operation of the network is distributed between several operators and coordinated nationally. Dissolved oxygen is measured by Wetlabs WQM using SBE43, and SBE43 on SBE19+ instruments, depending on the moored buoy payload, as well as Dissolved oxygen samples at reference station sites. Observations/Measur es (ANMN) Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets, time series, graphs Data Dissolved Oxygen content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. There are seven sub-facilities in the ANMN: four regional sub-facilities, a series of National Reference Stations (NRS), Acoustic Observatories and an Acidification Moorings sub-facility. The ANMN sub-facilities are: a) Queensland and Northern Australia b) New South Wales c) Southern Australia d) Western Australia e) Acoustic Observatories f) National Reference Stations (Coordination and Analysis) g) Acidification Moorings The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. The regional moorings monitor the interaction between boundary currents and shelf water masses and their consequent impact upon ocean productivity (e.g. Perth Canyon Upwelling; Kangaroo Island Upwelling) and ecosystem distribution and resilience (e.g. Coral Sea interaction with the Great Barrier Reef ). Operation of the network is distributed between several operators and coordinated nationally. Meteorology data (Barometric pressure, Air temperature, Relative humidity, Wind speed, Wind direction, Rainfall) is measured by VAISALA WXT520 instruments. Volume/quantity Formats/conventi ons Software/Tools used Aggregation level Data content/parameters Updating frequency Codice documento SP7_WP1_AZ2_D01 NetCDF dataset, aggregated datasets, time series, graphs Meteorology Continual, On demand Allegato 1 pag. 52/65 Observations/Measur es (ANMN) Observations/Measur es (ANMN) Data policy Extended description Creative Commons Lic (CC BY 2.5 AU) The Australian National Mooring Network Facility is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. There are seven sub-facilities in the ANMN: four regional sub-facilities, a series of National Reference Stations (NRS), Acoustic Observatories and an Acidification Moorings sub-facility. The ANMN sub-facilities are: a) Queensland and Northern Australia b) New South Wales c) Southern Australia d) Western Australia e) Acoustic Observatories f) National Reference Stations (Coordination and Analysis) g) Acidification Moorings The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. The regional moorings monitor the interaction between boundary currents and shelf water masses and their consequent impact upon ocean productivity (e.g. Perth Canyon Upwelling; Kangaroo Island Upwelling) and ecosystem distribution and resilience (e.g. Coral Sea interaction with the Great Barrier Reef ). Operation of the network is distributed between several operators and coordinated nationally. Fuorescence data are measured by Wetlabs WQM instruments. Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets, time series, graphs Data Optical - Fluorescence content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. There are seven sub-facilities in the ANMN: four regional sub-facilities, a series of National Reference Stations (NRS), Acoustic Observatories and an Acidification Moorings sub-facility. The ANMN sub-facilities are: a) Queensland and Northern Australia b) New South Wales c) Southern Australia d) Western Australia e) Acoustic Observatories f) National Reference Stations (Coordination and Analysis) g) Acidification Moorings The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 53/65 be referenced against. The regional moorings monitor the interaction between boundary currents and shelf water masses and their consequent impact upon ocean productivity (e.g. Perth Canyon Upwelling; Kangaroo Island Upwelling) and ecosystem distribution and resilience (e.g. Coral Sea interaction with the Great Barrier Reef ). Operation of the network is distributed between several operators and coordinated nationally. Turbidity data are measured by Wetlabs WQM and Wetlabs FLNTU instruments. Observations/Measur es (ANMN) Observations/Measur es (ANMN) Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets, time series, graphs Data Optical - Turbidity content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. Clarity data are measured by Secchi disk measurements at reference stations. Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets, time series, graphs Data Optical - Clarity content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. There are seven sub-facilities in the ANMN: four regional sub-facilities, a series of National Reference Stations (NRS), Acoustic Observatories and an Acidification Moorings sub-facility. The ANMN sub-facilities are: a) Queensland and Northern Australia b) New South Wales c) Southern Australia d) Western Australia e) Acoustic Observatories f) National Reference Stations (Coordination and Analysis) g) Acidification Moorings The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 54/65 integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. The regional moorings monitor the interaction between boundary currents and shelf water masses and their consequent impact upon ocean productivity (e.g. Perth Canyon Upwelling; Kangaroo Island Upwelling) and ecosystem distribution and resilience (e.g. Coral Sea interaction with the Great Barrier Reef ). Operation of the network is distributed between several operators and coordinated nationally. Current and Wave measurements are measured by RDI 300 kHz workhorse, RDI 150 kHz quartermaster, RDI 75 kHz long ranger and Nortek Continental 190kHz acoustic systems to derive near-surface water currents and multi-directional waves, depending on the moored buoy payload. Observations/Measur es (ANMN) Observations/Measur es (ANMN) Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets Data Current Measurement content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which more intensive local and regional scale studies can be referenced against. Biogeochemical data are measured by nutrient samples at reference stations. Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets Data Biogeochemical - nutrients content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian National Mooring Network Facility description is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. The National Reference Stations are the backbone component of the observing system. Extended by IMOS from three to nine sites around the entire Australian continent, the stations report integrated biological, chemical and physical oceanography time series observations, upon which Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 55/65 more intensive local and regional scale studies can be referenced against. Biological zooplankton and phytoplankton data are measured by samples enumeration taken at reference stations. Observations/Measur es (ACORN) Volume/quantity Formats/conventi NetCDF ons Software/Tools used Aggregation level dataset, aggregated datasets Data Biological - Plankton content/parameters Updating Continual, On demand frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian Coastal Ocean Radar Network description (ACORN) facility comprises a coordinated network of HF radars delivering real-time, non-quality controlled and delayed-mode, quality controlled surface current data into a national archive. Deployment of the radars is in support of regional nodes where there is a range of identified questions concerned with boundary currents and associated eddies and their interactions with shelf water and topography. The equipment comprises long-range WERA and medium-range WERA systems and long-range SeaSonde systems, and associated spares and transport infrastructure. Measurements are taken related to: Wind-driven Circulation, Significant Wave Height, Wave Frequency, Length, Period, Spectra, Speed/direction, and Surface Winds. Vector Observations/Measure s (AATAMS) Volume/quantity Formats/conventi NetCDF ons Software/Tools NetCDF-Java ToolsUI used Aggregation level dataset, aggregated datasets, time series, graphs Data Current - Wind Measurement content/parameters Updating Hourly, Monthly, Continual frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Australian Animal Tagging And Monitoring description System (AATAMS) is a coordinated marine animal tagging project. The project has deployed a network of acoustic receivers to detect the movements of tagged marine animals in coastal waters around Australia. Animals can be monitored over scales of hundreds of metres to hundreds of kilometres. An array or network consists of a series of acoustic receivers that can be left on the sea floor for up to 7 years with the ability to upload data from the receivers as often as needed. AATAMS and eMII have worked together to create a readily accessible data search page which displays: - installations of AATAMS receiver arrays/curtains - all AATAMS acoustic receiver deployments - all AATAMS acoustic tagging activity - all detections of tagged animals Data can be viewed or downloaded in .xml, .csv or .http formats. Volume/quantity Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 56/65 Observations/Measur es (AUV) Observations/Measur es (AUV) Formats/conventi xml, csv, http, WFS ons Software/Tools used Aggregation level dataset, aggregated datasets Data Biological - tagged species content/parameters Updating Periodical frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Autonomous Underwater Vehicle description (AUV) Facility operates an ocean going AUV called Sirius capable of undertaking high resolution, geo-referenced survey work. This platform is a modified version of a mid-size robotic vehicle Seabed built at the Woods Hole Oceanographic Institution. This class of AUV has been designed specifically for relatively low speed, high resolution imaging and is passively stable in pitch and roll. The objectives of the IMOS AUV Facility are to provide access and operational support for AUV systems for the marine science community in Australia. The Facility currently operates an AUV designed for high-resolution seafloor imaging. Temperature is measured by SBE37 CT instrument. Volume/quantity Formats/conventi csv, NetCDF ons Software/Tools used Aggregation level dataset Data Sea Temperature - Sub surface temperature content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Autonomous Underwater Vehicle description (AUV) Facility operates an ocean going AUV called Sirius capable of undertaking high resolution, geo-referenced survey work. This platform is a modified version of a mid-size robotic vehicle Seabed built at the Woods Hole Oceanographic Institution. This class of AUV has been designed specifically for relatively low speed, high resolution imaging and is passively stable in pitch and roll. The objectives of the IMOS AUV Facility are to provide access and operational support for AUV systems for the marine science community in Australia. The Facility currently operates an AUV designed for high-resolution seafloor imaging. Fluorescence is measured by Wetlabs ECO Triplet instrument. Volume/quantity Formats/conventi ons Software/Tools used Aggregation level Data content/parameters Updating frequency Data policy Codice documento SP7_WP1_AZ2_D01 csv, NetCDF dataset Optical - Fluorescence Campaign Creative Commons Lic (CC BY 2.5 AU) Allegato 1 pag. 57/65 Observations/Measur es (AUV) Observations/Measur es (AUV) Raster/Images (AUV) Extended description The IMOS Autonomous Underwater Vehicle (AUV) Facility operates an ocean going AUV called Sirius capable of undertaking high resolution, geo-referenced survey work. This platform is a modified version of a mid-size robotic vehicle Seabed built at the Woods Hole Oceanographic Institution. This class of AUV has been designed specifically for relatively low speed, high resolution imaging and is passively stable in pitch and roll. The objectives of the IMOS AUV Facility are to provide access and operational support for AUV systems for the marine science community in Australia. The Facility currently operates an AUV designed for high-resolution seafloor imaging. Turbidity is measured by Wetlabs ECO Triplet instrument. Volume/quantity Formats/conventi csv, NetCDF ons Software/Tools used Aggregation level dataset Data Optical - Turbidity content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Autonomous Underwater Vehicle description (AUV) Facility operates an ocean going AUV called Sirius capable of undertaking high resolution, geo-referenced survey work. This platform is a modified version of a mid-size robotic vehicle Seabed built at the Woods Hole Oceanographic Institution. This class of AUV has been designed specifically for relatively low speed, high resolution imaging and is passively stable in pitch and roll. The objectives of the IMOS AUV Facility are to provide access and operational support for AUV systems for the marine science community in Australia. The Facility currently operates an AUV designed for high-resolution seafloor imaging. CDOM is measured by Wetlabs ECO Triplet instrument. Volume/quantity Formats/conventi csv, NetCDF ons Software/Tools used Aggregation level dataset Data Optical - CDOM content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Autonomous Underwater Vehicle description (AUV) Facility operates an ocean going AUV called Sirius capable of undertaking high resolution, geo-referenced survey work. This platform is a modified version of a mid-size robotic vehicle Seabed built at the Woods Hole Oceanographic Institution. This class of AUV has been designed specifically for relatively low speed, high resolution imaging and is passively stable in pitch and roll. Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 58/65 The objectives of the IMOS AUV Facility are to provide access and operational support for AUV systems for the marine science community in Australia. The Facility currently operates an AUV designed for high-resolution seafloor imaging. Gridded bathymetric data are coming from processed a 330 kHz multibeam sonar acquisitions. Raster/Images (AUV) Raster/Images (AUV) Volume/quantity Formats/conventi GRD Gridded, NetCDF format as used with GMT ons Software/Tools GMT used Aggregation level dataset Data Bathymetry content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Autonomous Underwater Vehicle description (AUV) Facility operates an ocean going AUV called Sirius capable of undertaking high resolution, geo-referenced survey work. This platform is a modified version of a mid-size robotic vehicle Seabed built at the Woods Hole Oceanographic Institution. This class of AUV has been designed specifically for relatively low speed, high resolution imaging and is passively stable in pitch and roll. The objectives of the IMOS AUV Facility are to provide access and operational support for AUV systems for the marine science community in Australia. The Facility currently operates an AUV designed for high-resolution seafloor imaging. Optical imagery are coming from high resolution stereo camera pair and strobes and is delivered as individual high resolution, colour corrected images (geotiffs) and also in processed form, as mosaics Volume/quantity Formats/conventi GeoTIFF ons Software/Tools used Aggregation level dataset Data Seafloor images content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Autonomous Underwater Vehicle description (AUV) Facility operates an ocean going AUV called Sirius capable of undertaking high resolution, geo-referenced survey work. This platform is a modified version of a mid-size robotic vehicle Seabed built at the Woods Hole Oceanographic Institution. This class of AUV has been designed specifically for relatively low speed, high resolution imaging and is passively stable in pitch and roll. The objectives of the IMOS AUV Facility are to provide access and operational support for AUV systems for the marine science community in Australia. The Facility currently operates an AUV designed for high-resolution seafloor imaging. 3D seafloor reconstructions are coming from high resolution stereo camera pair and strobes and data Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 59/65 are derived as mesh files to display using OSG Text (AUV) Observations/Measur es (ANMN) Volume/quantity Formats/conventi IVE osgsight (meshed image fly-through files) ons Software/Tools OSG, GMT used Aggregation level dataset Data Stereo imagery of seafloor content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Autonomous Underwater Vehicle description (AUV) Facility operates an ocean going AUV called Sirius capable of undertaking high resolution, geo-referenced survey work. This platform is a modified version of a mid-size robotic vehicle Seabed built at the Woods Hole Oceanographic Institution. This class of AUV has been designed specifically for relatively low speed, high resolution imaging and is passively stable in pitch and roll. The objectives of the IMOS AUV Facility are to provide access and operational support for AUV systems for the marine science community in Australia. The Facility currently operates an AUV designed for high-resolution seafloor imaging. Reports of each dive are produced in form of synthetic pdf files Volume/quantity Formats/conventi pdf ons Software/Tools used Aggregation level dataset Data Stereo imagery and sizing content/parameters Updating Campaign frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The IMOS Facility for Intelligent Monitoring of description Marine Systems is a sensor network established in the Great Barrier Reef off the coast of Queensland, Australia. A 'sensor network' is an array of small, wirelessly interconnected sensors that collectively stream sensor data to a central data aggregation point. Sensor networks can be used to provide spatially dense bio-physical measurements in real-time. In the marine environment they have particular application to the study of benthic ecosystems. FAIMMS sensors collect data related to the interaction of heat and light in coral bleaching, and to help understand the impact of upwelling from the Coral Sea upon the productivity of Great Barrier Reef ecosystemsThe immediate value of the network will be its ability to return spatially dense bio-physical measurements in real-time. As such this represents a large scale trial or "proof of concept" of a very important emerging technology for application in the marine environment with particular relevance to benthic ecosystems such as Great Barrier Reef and other benthic environments.instruments, depending on the moored buoy payload. Temperature measures Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 60/65 are taken by SBE37, SBE39, and MEA Thermistor, depending on the sensor payload Raster/Images (SRS) Raster/Images (SRS) Volume/quantity Formats/conventi csv, xml, NetCDF ons Software/Tools used Aggregation level Dataset, graphs Data Sea Temperature - Sub surface temperature content/parameters Updating Periodical, on request frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The aim of the Australian Satellite SST L2P description Products sub-facility is to provide real-time and reprocessed, high-resolution (1 km and 5 km), locally received, satellite sea surface temperature (SST) data products in the internationally accepted GHRSST L2P and L3P format using new, best practice, processing and calibration methods. The satellite sensors to be used are the AVHRR infrared sensors on the NOAA polar-orbiting satellites, the MODIS infrared sensors on Aqua and Terra and infrared sensors on available geostationary satellites (eg. MTSAT-1R). Volume/quantity Formats/conventi NetCDF, WMS ons Software/Tools used Aggregation level Dataset Data Sea Temperature - Skin temperature content/parameters Updating Daily frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended The Aqua satellite platform carries a MODIS description sensor that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These multi-spectral measurements are used to infer the concentration of chlorophyll-a (Chl-a), most typically due to phytoplankton, present in the water. The data are produced from the near real time (nrt) data stream formed by combining data from all the available direct broadcast reception stations in Australia (Alice Springs, Melbourne, Townsville, Perth, Hobart). The data are presented as a sequence of granules, each with a maximum size corresponding to 5 minutes of data, and beginning on UTC-5 minute boundary (eg. 04:05, 04:10, 04:15). The granules have been remapped from satellite projection into a geographic (Latitude/Longitude axes) projection and are formatted as CF-compliant netCDF files. Volume/quantity Formats/conventi ons Software/Tools used Aggregation level Data content/parameters Codice documento SP7_WP1_AZ2_D01 NetCDF OC3 method , SeaDAS Dataset Ocean Color - Chlorophyll-a Allegato 1 pag. 61/65 Software/Models (RIBBON) Software/Models (SEDAS) Updating frequency Data policy Extended description Daily Creative Commons Lic (CC BY 2.5 AU) Numerical modelling of the global ocean currently requires models specifically deigned for the task at hand. These models contain the computational physics and software engineering necessary to resolve the global ocean's dominant large scale physics without compromising run times. While these models may be eddy resolving in the ocean basins, on coastal margins their accuracy deteriorates due to their inability to resolve the dominant scales of motion. It is in these coastal zones that accurate numerical prediction is often required to address numerous coastal issues. In the past global models have been unsuitable for high resolution limited area modelling of coastal domains, however, recently there has been a convergence of global and regional models to the extent that some global models (e.g. MOM4p1) are capable of accurately representing limited area coastal domains. This is largely due to the inclusion of adequate turbulence closure and open boundary algorithms required to characterise coastal processes. Volume/quantity Formats/conventi WMS ons Software/Tools SETAS (SHOC) model used Aggregation level Model output, Time series animation Data Depth, Water velocity, Salinity, SSH, content/parameters Temperature Updating frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Extended South East Tasmania Model output (SETAS) aims description to provide near real-time hydrodynamic modelling of the south-east Tasmania, including the Huon and Derwent Estuaries, D'Entrecasreaux Channel and Storm Bay. It is anticipated that input data provided by a sensor network deployed throughout the region will be used by the hydrodynamic model in a data assimilating capacity. The sensors would provide sea-level, salinity and temperature data in near real-time, while the hydrodynamic modelling system (SHOC) would then provide near real-time fields of currents, sea-level, water temperature and salinity. Volume/quantity Formats/conventi WMS ons Software/Tools SETAS (SHOC) model used Aggregation level Model output, Time series animation Data Depth, Water velocity, Salinity, SSH, Vertical content/parameters diffusivity, Air pressure, Wind stress, Temperature Updating frequency Data policy Creative Commons Lic (CC BY 2.5 AU) Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 62/65 Descrizione della soluzione: FUNCTIONALITIES Navigating the Map Page The map page contains a central map image for locating data geographically, and two side panels (the Map Layer Chooser on the left, and the Layer Information Panel on the right) that can be expanded and minimised. Adding Map Layers The Map Layer Chooser is for selecting what data is shown on the map. A map layer is a collection of separate data objects, displayed as a group when the layer is selected. A layer is selected by clicking on an item in the lowest level in the menu in the Map Layer Chooser. When a layer is selected, the layer becomes "active", and various information about the data associated with the layer appears on the map and in the right panel. Icons showing locations appear on the map, and information and viewing options for that layer are shown in the right panel. Multiple layers can be added successively to the map, and all active layers are listed in the Active Layers dialogue window, which can be used to manage them. When there is more than one layer in the list, the right hand information panel displays information on whichever layer is selected in the list: ie. the one highlighted in grey. Layer Information Panel When a map layer is selected, various functionality is made available within the Layer Information Panel on the right hand side; the layer type will determine what functions are available. When there are multiple active layers on the map, information is shown for the layer selected from the Active Layers list (highlighted in grey). 1 The opacity, or transparency, of the layer can be adjusted 2 The Info tab contains information retrieved from the metadata record for that layer, if available. Links to various online resources related to the layer can be found at the bottom of the page, if available. 3 The Styles tab shows a legend for the icons on the layer. For some layers it is possible to alter the look of the layer features by selecting a style from a drop-down menu. Also on the styles tab will be an icon for Transect Graphing for layers that have that functionality available. 4 The Filters tab: a few layers have a filtering option, and if this is available it will be shown under a Filters tab. Such layers can be filtered by variables such as time and geographic area. Feature Information Window A single click on a feature icon on an active layer brings up a Feature information window. The window can have multiple tabs if there are multiple features near that click-point. The Feature Information Window may contain one or more of the following: brief information on the feature, links to a Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 63/65 metadata record, links to data, a preview chart of the data, related online resources. Transect Graphing With the transect graphing tool it is possible to illustrate a particular gradient or linear pattern; allowing a clear visualisation of the changes taking place along the line. The transect graphing tool will be available when an active layer is present. (Not all) On the map click on a point you wish the transect to begin at. Continue to click on the map where you wish the transect to cut. The transect can be a simple straight line - 2 points or a polygon - multiple points. Double click the last required point. A graph(s) will be produced showing the data along the selected transect, in a new Transect tab within the Layer options (right hand) panel. Animation Panel In the animation panel, map layers with a temporal component can be: 5 Viewed as an animation over a defined time period, 6 Viewed on the map for a single date/time, 7 Downloaded as a still GIF image. Add WMS Servers The response to the request of WMs server adding is one or more geo-registered map images (returned as JPEG, PNG, etc) that can be displayed in the Portal browser application. Contributing Data The cookbook describes how to contribute data, it is compiled based on the AODN instance. (see attached file eMII_AODNCookbook-v2.0_3.pdf for details) Download a Dataset Many of the data sets on the Portal are available for download. There is a plan to streamline the way users access and download data from the Portal in early to mid 2013. Until then, available data can be downloaded from the following locations: 11. From the map page, in the Feature Information Window, and for some layers within the Information Panel. For more detail, see Map section below. 12. From the search page, within search results. For more detail, see Search section below. 13. From within a metadata record: some records contain a link or links in the 'Distribution and Online resources' section. Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 64/65 To download data from the Map Page, firstly add a layer to the map by clicking on an item from the lowest level of the Map Layer Chooser. For some layers, individual icons appear on the map representing separate information and/or data for individual locations. Clicking on one of these icons will produce a Feature Information Window with links relevant to that location. Other layers will contain a grid or field of data (spatial data such as satellite maps), and clicking anywhere on the layer will produce a feature window with links. Selecting one of these links will produce different pages depending on the data type. Many Portal datasets are stored as NetCDF files and accessed through a Thredds catalog, and many links from the portal (eg. 'Download Data', 'Link to the data on opendap', 'Data available via the IMOS OPeNDAP Server' ) lead to a page showing the Thredds Catalog, looking something like this: Portal Accounts Overview The various portal instances including IMOS, AODN and SOOS along with the Portal User Guide and Forum are backed by OpenID for user authentication, allowing users to log in to all three using a single account. It is not necessary to create a user account to search, view and download data, however the benefits of creating an account are advantageous. By creating an account the user can conduct the following operations: 14. Save created maps for easy referral when returning to a portal, 15. Save searches to ensure consistency in searching everytime for maximum results, 16. Share user defined maps with others. Codice documento SP7_WP1_AZ2_D01 Allegato 1 pag. 65/65