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s/edma/AdMa/gi

Other language confidence: 0.5779965473358447

Bulk and position-specific isotopic composition of N2O (total and in situ) and nitrate from the EDC, EDML, Vostok, TALDICE, Taylor Glacier, and NGRIP ice cores

The mixing ratio and bulk isotopic composition of nitrous oxide (N2O) was measured after wet extraction and purification of the air enclosed in 150 g ice core samples from EDC, EDML, Vostok, TALDICE, and NGRIP, following the analysis procedure described in Schmitt et al. (2014). The position-specific isotopic composition of N2O was measured after dry extraction and purification of the air enclosed in 600 g ice core samples from Vostok and Taylor Glacier, following the analysis procedure described in Menking et al. (2025). The mixing ratio and isotopic composition of in situ N2O – i.e., the fraction of N2O produced in the ice – was calculated using a mass balance approach (Soussaintjean et al., preprint). After gas extraction, the sample meltwater and ice chips were collected to measure the isotopic composition of nitrate (NO3-) following the bacterial denitrification method described in Erbland et al. (2013). Each sample was associated with its ice age and gas age based on the AICC2023 chronology (Bouchet et al., 2023) for EDC, EDML, Vostok, TALDICE, and NGRIP and Baggenstos et al. (2017, 2018) for Talyor Glacier. The samples cover the periods 11 – 26 ka, 41 – 75 ka, and 136 – 143 ka. Taylor Glacier is a horizontal core, meaning the age of the ice varies with distance along a transect close to the surface where the horizontal stratigraphy is preserved (Baggenstos et al., 2017).

ANT 2011/12: AWI airborne Accumulation Radar data over western DML around EDML, eastern DML over the Sør Rondane Mountains, and over Atka Bay (GEA and WEGAS Projects)

This dataset contains airborne radar data acquired using the AWI Accumulation Radar (ACCU) system during the Antarctic season of 2011/12. The profiles cover western Dronning Maud Land around EDML, eastern Dronning Maud Land over the Sør Rondane Mountains, and over Atka Bay. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.

Joint Danube Survey

The Joint Danube Survey (JDS(link is external)) is one of the most comprehensive investigative surface-water monitoring efforts in the world. Orchestrated by the ICPDR (link is external)(International Commission for the Protection of the Danube River), the key purpose of JDS is to gather vital data on carefully selected elements of water quality across the entire length of the Danube River and its major tributaries. The project harmonizes water monitoring practices across the Danube countries, following the EU Water Framework Directive (WFD) to achieve good water quality. Three JDS events have been previously conducted - in 2001, 2007, and 2013. The fourth survey, JDS4, took place throughout 2019 at 51 sampling sites in 13 countries across the Danube River Basin. The outcome of JDS4 will fill the information gaps necessary to enable the planned 2021 update of the Danube River Basin Management Plan. For the first time, JDS4 included DNA metabarcoding methods, carried out through the University of Essen(link is external). The resulting eDNA samples are centrally archived for JDS at the ZFMK Biobank.

GTS Bulletin: FCDL35 EDZO - Forecast (details are described in the abstract)

The FCDL35 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FC): Aerodrome (VT < 12 hours) A1A2 (DL): Germany (The bulletin collects reports from stations: EDHA;EDHI;HAMBURG-FINKENWERDER ;EDHK;KIEL-HOLTENAU ;EDJA;MEMMINGEN ALLGAU ;EDMO;OBERPFAFFENHOFEN ;EDTD;DONAUESCHINGEN-VILLINGEN ;EDTL;LAHR ;EDTY;SCHWAEBISCH HALL ;EDVE;BRAUNSCHWEIG WOLFSBURG ;EDXW;WESTERLAND SYLT ;EDZO;)

GTS Bulletin: SADL35 EDZO - Surface data (details are described in the abstract)

The SADL35 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SA): Aviation routine reports A1A2 (DL): Germany (The bulletin collects reports from stations: EDHA;EDHI;HAMBURG-FINKENWERDER ;EDHK;KIEL-HOLTENAU ;EDJA;MEMMINGEN ALLGAU ;EDMO;OBERPFAFFENHOFEN ;EDOP;SCHWERIN PARCHIM ;EDTD;DONAUESCHINGEN-VILLINGEN ;EDTL;LAHR ;EDTY;SCHWAEBISCH HALL ;EDVE;BRAUNSCHWEIG WOLFSBURG ;EDXW;WESTERLAND SYLT ;EDZO;)

GTS Bulletin: SAEU62 EDZW - Surface data (details are described in the abstract)

The SAEU62 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SA): Aviation routine reports A1A2 (EU): Europe (The bulletin collects reports from stations: EDQD;LIML;LINATE ;EDVK;KASSEL-CALDEN ;ETSN;NEUBURG ;LIRA;CIAMPINO ;EDHI;HAMBURG-FINKENWERDER ;ETSL;LECHFELD ;EDMA;AUGSBURG ;EDQM;HOF-PLAUEN ;EDXW;WESTERLAND SYLT ;EDAH;HERINGSDORF ;EDNY;FRIEDRICHSHAFEN ;) (Remarks from Volume-C: COMPILATION FOR REGIONAL EXCHANGE)

GTS Bulletin: LCDL35 EDZO - Aviation Information in XML (details are described in the abstract)

The LCDL35 TTAAii Data Designators decode as: T1 (L): Aviation Information in XML A1A2 (DL): Germany T1T2 (LC): Aerodrome Forecast ("TAF") (VT<12 hours)"(The bulletin collects reports from stations: EDHA;EDHI;HAMBURG-FINKENWERDER;EDHK;KIEL-HOLTENAU;EDJA;MEMMINGEN ALLGAU;EDMO;OBERPFAFFENHOFEN;EDTD;DONAUESCHINGEN-VILLINGEN;EDTL;LAHR;EDTY;EDVE;BRAUNSCHWEIG WOLFSBURG;EDXW;WESTERLAND SYLT;EDZO;)

GTS Bulletin: LADL34 EDZO - Aviation Information in XML (details are described in the abstract)

The LADL34 TTAAii Data Designators decode as: T1 (L): Aviation Information in XML A1A2 (DL): Germany T1T2 (LA): Aviation routine reports ("METAR")(The bulletin collects reports from stations: EDAC;ALTENBURG-NOBITZ;EDBC;MAGDEBURG-COCHSTEDT;EDGS;SIEGERLAND;EDHL;LUEBECK BLANKENSEE;EDLN;MOENCHENGLADBACH;EDLP;PADERBORN LIPPSTADT;EDLW;DORTMUND;EDMA;AUGSBURG;EDNY;FRIEDRICHSHAFEN;EDQM;HOF-PLAUEN;EDRZ;ZWEIBRUECKEN;EDSB;KARLSRUHE BADEN-BADEN;EDZO;)

End biodiversity loss through improved tracking of threatened invertebrates

In today's biodiversity crisis, there is an urgent need to monitor terrestrial and aquatic species in their natural habitats, especially those that may be endangered, invasive or elusive. Traditional species observation methods, based on acoustic or observational surveys are inefficient, costly and time consuming. On the other hand, DNA is continuously deposited in the environment from natural processes and this environmental DNA (eDNA) allows us to detect species and reconstruct their communities with a high level of sensitivity. These data can be used to obtain occurrence records and to collect more population information in field. Crucially, these data are necessary to inform management agencies about the current state of our biodiversity, and are especially urgent for species that are currently data deficient. The aims of this study are to firstly identify occurrence records from diverse sources (databases, literature) and generate a database of distributional data for species of crustacean and mollusks that are data deficient in Sweden. Secondly, we aim to detect threatened species in Swedish marine, freshwater and terrestrial habitats using novel genomic methods (DNA metabarcoding, ddPCR). Finally, based on the new data, we will run species distribution and population models, to improve information on geographic range and population status for threatened invertebrates. The results will be integrated into current monitoring programmes (e.g. red-listing) and action plans.

GTS Bulletin: LADL35 EDZO - Aviation Information in XML (details are described in the abstract)

The LADL35 TTAAii Data Designators decode as: T1 (L): Aviation Information in XML A1A2 (DL): Germany T1T2 (LA): Aviation routine reports ("METAR")(The bulletin collects reports from stations: EDHA;EDHI;HAMBURG-FINKENWERDER;EDHK;KIEL-HOLTENAU;EDJA;MEMMINGEN ALLGAU;EDMO;OBERPFAFFENHOFEN;EDOP;SCHWERIN PARCHIM;EDTD;DONAUESCHINGEN-VILLINGEN;EDTL;LAHR;EDTY;EDVE;BRAUNSCHWEIG WOLFSBURG;EDXW;WESTERLAND SYLT;EDZO;)

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