cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5dg8mv
title: Occurrence Download

description: A dataset containing 3938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-96.4210486000000060 42.4743622000000016, -96.4210486000000060 42.4780181400000032, -96.4210486000000060 42.4838067199999969, -96.4210486000000060 42.4914232699999985, -96.4210486000000060 42.4962978599999985, -96.4210486000000060 42.5002584699999986, -96.4210486000000060 42.5048284000000010, -96.4121949499999999 42.5048284000000010, -96.4070044900000056 42.5048284000000010, -96.4015087100000017 42.5048284000000010, -96.3947916399999940 42.5048284000000010, -96.3877692599999989 42.5048284000000010, -96.3792202700000047 42.5048284000000010, -96.3715878999999944 42.5048284000000010, -96.3715878999999944 42.4996491500000033, -96.3715878999999944 42.4947745500000025, -96.3715878999999944 42.4908139500000033, -96.3715878999999944 42.4859393600000033, -96.3715878999999944 42.4825880699999985, -96.3715878999999944 42.4777134799999985, -96.3715878999999944 42.4743622000000016, -96.3786096299999997 42.4743622000000016, -96.3841054100000036 42.4743622000000016, -96.3923490800000025 42.4743622000000016, -96.4021193500000066 42.4743622000000016, -96.4082257700000014 42.4743622000000016, -96.4131109100000003 42.4743622000000016, -96.4210486000000060 42.4743622000000016))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 3938 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095049-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sq427r
title: Occurrence Download

description: A dataset containing 41975 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silene acaulis (L.) Jacq."
 ]
}

 The dataset includes 41975 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054935-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78x5f8
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudognaphalium brachypterum (DC.) Anderb."
 ]
}

 The dataset includes 327 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096640-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112025617
title: Cuneiform Tablet 1913.14.1507, Spurlock 1913.14.1507

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1507; CDLI P421359 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) Moderate Yellowish Pink (5YR 7.5/4) Medium Gray (N 5.25/ 22.1% R) ❧ [Physical Object Note:] 10.5 x 7.4 x 2.6 cm (195g)
DOI: 10.15468/dl.ag2av3
title: Occurrence Download

description: A dataset containing 776 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium viscosum Arv.-Touv."
 ]
}

 The dataset includes 776 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247118-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbky78
title: Occurrence Download

description: A dataset containing 458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Myanmar",
 "TaxonKey is Dalbergia L.f."
 ]
}

 The dataset includes 458 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054949-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112025619
title: Cuneiform Tablet 1913.14.1507, Spurlock 1913.14.1507

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1507; CDLI P421359 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) Moderate Yellowish Pink (5YR 7.5/4) Medium Gray (N 5.25/ 22.1% R) ❧ [Physical Object Note:] 10.5 x 7.4 x 2.6 cm (195g)
DOI: 10.15468/dl.dcvp6k
title: Occurrence Download

description: A dataset listing the 12219 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.93188 35.68705,-82.30591 35.68705,-82.30591 36.53906,-83.93188 36.53906,-83.93188 35.68705))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 12219 records were derived from 279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083341-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111325570
title: Latin Manuscript with Illuminations, MS.000136

description: [Text Description:] Latin Manuscript with Illuminations ❧ [Text or Publication Number Note:] MS.000136 ❧ [Medium:] Parchment ❧ [Script Note:] Latin ❧ [Physical Object Description:] Folios approx. 24 x 35 cm ❧ [Physical Object Note:] Vellum with ink, red and black (now oxidized to brown). ❧ [Physical Object Note:] Many small illuminated capital letters on each page. Some larger, more ornate illuminations.
DOI: 10.15468/dl.ng5swv
title: Occurrence Download

description: A dataset containing 5673389 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassicaceae"
 ]
}

 The dataset includes 5673389 records from 2016 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002286-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14515254
title: Aphids forward and backward migration simulations by SILAM CTM

description: The SILAM CTM (Chemical Transport Model) has been used to model the migration of bird cherry-oat aphids (Rhopalosiphum padi) across Europe. The forecasts are based on a temperature sum threshold (220 DD5), a source area map, and meteorological forecasts from the ERA5 weather model. The SILAM model’s emission term incorporates meteorological factors such as temperature, wind, and humidity to estimate aphid take off. Aphids are considered to behave like coarse airborne particles during their transport in the atmosphere.

Migration forecasts have been calculated for the years 2002, 2010, and 2016 (Jan 1 - Jul 31), and are provided as datasets (SILAM_Aphids2002.tar, SILAM_Aphids2010.tar, SILAM_Aphids2016.tar). Additionally, the source areas of the first aphids observed in Jokioinen, Finland, have been traced using an inverse modeling method for the years 2001–2016 (Jokioinen2001_2016_SILAMaphidInverse.tar) and same for Helsinki in 2002 (Helsinki2002_SILAMaphidsInverse.nc4). All model datasets are provided in NetCDF format.

SILAM CTM is developd at Finnish Meteorological Institue  and it is open open code http://silam.fmi.fi/ .
DOI: 10.5281/zenodo.14515255
title: Aphids forward and backward migration simulations by SILAM CTM

description: The SILAM CTM (Chemical Transport Model) has been used to model the migration of bird cherry-oat aphids (Rhopalosiphum padi) across Europe. The forecasts are based on a temperature sum threshold (220 DD5), a source area map, and meteorological forecasts from the ERA5 weather model. The SILAM model’s emission term incorporates meteorological factors such as temperature, wind, and humidity to estimate aphid take off. Aphids are considered to behave like coarse airborne particles during their transport in the atmosphere.

Migration forecasts have been calculated for the years 2002, 2010, and 2016 (Jan 1 - Jul 31), and are provided as datasets (SILAM_Aphids2002.tar, SILAM_Aphids2010.tar, SILAM_Aphids2016.tar). Additionally, the source areas of the first aphids observed in Jokioinen, Finland, have been traced using an inverse modeling method for the years 2001–2016 (Jokioinen2001_2016_SILAMaphidInverse.tar) and same for Helsinki in 2002 (Helsinki2002_SILAMaphidsInverse.nc4). All model datasets are provided in NetCDF format.

SILAM CTM is developd at Finnish Meteorological Institue  and it is open open code http://silam.fmi.fi/ .
DOI: 10.15468/dl.t35nmg
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Thamnophis cyrtopsis cyrtopsis)"
 ]
}

 The dataset includes 672 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041090-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.raycj7
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Thamnophis cyrtopsis ocellatus (Cope, 1880))"
 ]
}

 The dataset includes 341 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041092-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6gd34
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pandanus papateaensis (Pandanaceae): une nouvelle espèce menacée de l’atoll soulevé de Makatea (Tuamotu, Polynésie française)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041093-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmtaxn
title: Occurrence Download

description: A dataset containing 147473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Conchological Society of Great Britain & Ireland: non-marine mollusc records, Conchological Society of Great Britain & Ireland: non-marine molluscs (1999 Atlas dataset), Naturalis Biodiversity Center (NL) - Mollusca, Programme d'observation naturaliste participative avec l'application mobile INPN Espèces - Application INPN Espèces: Observations naturalistes, participatives et opportunistes, fondées sur des photographies, CLICNAT- Base de données naturaliste picarde-CLICNAT Base de données naturaliste picarde gérée par Picardie Nature, Suffolk Biodiversity Information Service (SBIS) Dataset, Swiss National Mollusca Databank)",
 "TaxonKey is Cornu aspersum (O.F.Müller, 1774)"
 ]
}

 The dataset includes 147473 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041067-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu53et
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Thamnophis cyrtopsis ocellatus (Cope, 1880))"
 ]
}

 The dataset includes 341 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041095-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.traxnc
title: Occurrence Download

description: A dataset containing 20266890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset includes 20266890 records from 7075 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041066-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.968074
title: GEM-2 ice and platelet total thickness measurements for transect AFIN_ATKA_20221230

description: The snow+ice thickness (distance from the snow surface to the consolidated ice-platelet ice interface) and the underlying platelet ice thickness was measured by the electromagnetic induction (EM) method. On all transects, we used a multi-frequency EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled behind a snowmobile (Hunkeler et al, 2016b). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams. The GEM-2 is a multi-frequency sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during AFIN used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.53, 5.31, 18.33, 63.03, and 93.09 kHz). The transect measurements are based on a sensor calibration, where the GEM-2 was placed in a zero-conductivity environment on the ice shelf before and after each transect to correct for signal offsets in instrument drift. The snow+ice and platelet ice thickness and conductivity retrieval of the calibrated GEM-2 surveys data was done by multi-frequncy inversion in the modified framework of the EMagPy (McLachlan et al., 2020) accounting for the bucking coil bias (Hunkeler at al., 2016a). To validate the retrieved thicknesses, we used the snow depth, ice thickness and platelet ice thickness from the drill hole measurements coincident with the GEM-2 transects. The coincident drill hole data can be found here: doi:10.1594/PANGAEA.968459. For more details we refer to the paper by Neudert et al, 2024: Improved sub-Ice Platelet Layer Mapping with multi-frequency EM Induction Sounding, in review at Journal of Applied Geophysics, Elsevier.
DOI: 10.1594/pangaea.968075
title: GEM-2 ice and platelet total thickness measurements for transect AFIN_ATKA_20221105

description: The snow+ice thickness (distance from the snow surface to the consolidated ice-platelet ice interface) and the underlying platelet ice thickness was measured by the electromagnetic induction (EM) method. On all transects, we used a multi-frequency EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled behind a snowmobile (Hunkeler et al, 2016b). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams. The GEM-2 is a multi-frequency sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during AFIN used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.53, 5.31, 18.33, 63.03, and 93.09 kHz). The transect measurements are based on a sensor calibration, where the GEM-2 was placed in a zero-conductivity environment on the ice shelf before and after each transect to correct for signal offsets in instrument drift. The snow+ice and platelet ice thickness and conductivity retrieval of the calibrated GEM-2 surveys data was done by multi-frequncy inversion in the modified framework of the EMagPy (McLachlan et al., 2020) accounting for the bucking coil bias (Hunkeler at al., 2016a). To validate the retrieved thicknesses, we used the snow depth, ice thickness and platelet ice thickness from the drill hole measurements coincident with the GEM-2 transects. The coincident drill hole data can be found here: doi:10.1594/PANGAEA.968459. For more details we refer to the paper by Neudert et al, 2024: Improved sub-Ice Platelet Layer Mapping with multi-frequency EM Induction Sounding, in review at Journal of Applied Geophysics, Elsevier.
DOI: 10.1594/pangaea.968076
title: GEM-2 ice and platelet total thickness measurements for transect AFIN_ATKA_20221111

description: The snow+ice thickness (distance from the snow surface to the consolidated ice-platelet ice interface) and the underlying platelet ice thickness was measured by the electromagnetic induction (EM) method. On all transects, we used a multi-frequency EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled behind a snowmobile (Hunkeler et al, 2016b). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams. The GEM-2 is a multi-frequency sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during AFIN used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.53, 5.31, 18.33, 63.03, and 93.09 kHz). The transect measurements are based on a sensor calibration, where the GEM-2 was placed in a zero-conductivity environment on the ice shelf before and after each transect to correct for signal offsets in instrument drift. The snow+ice and platelet ice thickness and conductivity retrieval of the calibrated GEM-2 surveys data was done by multi-frequncy inversion in the modified framework of the EMagPy (McLachlan et al., 2020) accounting for the bucking coil bias (Hunkeler at al., 2016a). To validate the retrieved thicknesses, we used the snow depth, ice thickness and platelet ice thickness from the drill hole measurements coincident with the GEM-2 transects. The coincident drill hole data can be found here: doi:10.1594/PANGAEA.968459. For more details we refer to the paper by Neudert et al, 2024: Improved sub-Ice Platelet Layer Mapping with multi-frequency EM Induction Sounding, in review at Journal of Applied Geophysics, Elsevier.
DOI: 10.1594/pangaea.968077
title: GEM-2 ice and platelet total thickness measurements for transect AFIN_ATKA_20221231

description: The snow+ice thickness (distance from the snow surface to the consolidated ice-platelet ice interface) and the underlying platelet ice thickness was measured by the electromagnetic induction (EM) method. On all transects, we used a multi-frequency EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled behind a snowmobile (Hunkeler et al, 2016b). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams. The GEM-2 is a multi-frequency sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during AFIN used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.53, 5.31, 18.33, 63.03, and 93.09 kHz). The transect measurements are based on a sensor calibration, where the GEM-2 was placed in a zero-conductivity environment on the ice shelf before and after each transect to correct for signal offsets in instrument drift. The snow+ice and platelet ice thickness and conductivity retrieval of the calibrated GEM-2 surveys data was done by multi-frequncy inversion in the modified framework of the EMagPy (McLachlan et al., 2020) accounting for the bucking coil bias (Hunkeler at al., 2016a). To validate the retrieved thicknesses, we used the snow depth, ice thickness and platelet ice thickness from the drill hole measurements coincident with the GEM-2 transects. The coincident drill hole data can be found here: doi:10.1594/PANGAEA.968459. For more details we refer to the paper by Neudert et al, 2024: Improved sub-Ice Platelet Layer Mapping with multi-frequency EM Induction Sounding, in review at Journal of Applied Geophysics, Elsevier.
DOI: 10.1594/pangaea.968078
title: GEM-2 ice and platelet total thickness measurements for transect AFIN_ATKA_20221108

description: The snow+ice thickness (distance from the snow surface to the consolidated ice-platelet ice interface) and the underlying platelet ice thickness was measured by the electromagnetic induction (EM) method. On all transects, we used a multi-frequency EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled behind a snowmobile (Hunkeler et al, 2016b). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams. The GEM-2 is a multi-frequency sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during AFIN used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.53, 5.31, 18.33, 63.03, and 93.09 kHz). The transect measurements are based on a sensor calibration, where the GEM-2 was placed in a zero-conductivity environment on the ice shelf before and after each transect to correct for signal offsets in instrument drift. The snow+ice and platelet ice thickness and conductivity retrieval of the calibrated GEM-2 surveys data was done by multi-frequncy inversion in the modified framework of the EMagPy (McLachlan et al., 2020) accounting for the bucking coil bias (Hunkeler at al., 2016a). To validate the retrieved thicknesses, we used the snow depth, ice thickness and platelet ice thickness from the drill hole measurements coincident with the GEM-2 transects. The coincident drill hole data can be found here: doi:10.1594/PANGAEA.968459. For more details we refer to the paper by Neudert et al, 2024: Improved sub-Ice Platelet Layer Mapping with multi-frequency EM Induction Sounding, in review at Journal of Applied Geophysics, Elsevier.