cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qfy7td
title: Occurrence Download

description: A dataset containing 172194 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alliaria petiolata (M.Bieb.) Cavara & Grande"
 ]
}

 The dataset includes 172194 records from 709 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001157-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.922975
title: Bathymetry grid of Pourquoi Pas? cruise ILAB-SPARC, Chain Fracture Zone

description: We provide a processed bathymetry dataset collected in the equatorial Atlantic during ILAB-SPARC experiment conducted aboard N/O Pourquoi Pas? in Fall 2018.
DOI: 10.15468/dl.wkb38g
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Titanopsis calcarea (Marloth) Schwantes"
 ]
}

 The dataset includes 99 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017181-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.922976
title: Global model output of chlorophyll-a concentration, coloured dissolved organic matter absorption, sea-ice concentration, sea surface and subsurface temperature, surface heat flux, ice-covered days, mixed layer depth, meridional advection of temperature

description: This data set is composed of model output from Darwin-MITgcm, of chlorophyll-a concentration, coloured dissolved organic matter absorption, sea-ice concentration, sea surface and subsurface temperature, surface heat flux, ice-covered days, mixed layer depth, meridional advection of temperature. It covers a time period from January 2007 to January 2017, while some fields cover only parts of the summer of 2012.
DOI: 10.1594/pangaea.922399
title: Dissolved-gas concentrations, physical and chemical properties of 41 ponds as well as key meteorological parameters in the Lena River Delta, Siberia

description: Ponds emit more methane per area than larger lakes. However, methane concentrations in and methane emissions from ponds show more spatial variability than larger waterbodies. A better understanding of this variability is needed to improve upscaling estimates of freshwater methane emissions. To this end, we studied 41 polygonal-tundra ponds on the islands Samoylov and Kurungakh in the Lena River Delta, northeast Siberia. The ponds fall into three geomorphological types with distinct differences in drivers of methane concentrations: polygonal-center ponds, ice-wedge ponds and larger merged-polygonal ponds. We collected water samples at different locations and depths in each pond and determined methane concentrations using gas chromatography. Additionally, we collected information on the geomorphology, vegetation cover as well as on key physical and chemical properties of the ponds and combined them with meteorological data to identify drivers of surface-water methane concentrations.
DOI: 10.15468/dl.mvu6ye
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Iuridae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001157-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.922400
title: LIG-LONG: a Fortran code for calculating latitudinal insolation gradients, version 2

description: The file contains the code LIG-LONGv2.for, which permits calculating irradiation and latitudinal insolation gradients (LIGs) between two latitudes for the whole Holocene. This file is an updated and improved version of the code described in doi:10.1594/PANGAEA.903521.
DOI: 10.1594/pangaea.922432
title: Properties of archive resources of a cartographic and topo-bathymetric archive dataset on the French Rhône River

description: This dataset describes the properties of 350 data items. This table has 18 columns that include the following: (1) the type of data: i.e. map, cross-section, long profile, table, topo-bathymetry drawn on the map, (2) the source (archive service) and reference (box number), (3) the original title (in French) and a translated English title, (4) the scale, author, and survey period, (5) the communes covered by the upstream-downstream Kilometric Points (KPs; km 0 is in Lyon, distances upstream from this reference point are negative and distances downstream are positive; the KPs were identified in ArcMap 10.5 using the GIS layer of riverine communes and active channels in 1860, to help in locating the maps with secondary channels), (6) comments on the quality and content of the data, (7) the number of images and their type (on a table or a magnetic board, HD scan, scanned and georeferenced), and (8) the storage file and sub-file.
description: The CC-BY-NC license was chosen to meet the data reuse policies of the 14 French archive services investigated in this study (either CC-BY or CC-BY-NC). Ten items among the 350 items in the dataset are not furnished in the iconographic database. They are indicated as “available on request” in the table ArchiveResources_Properties.csv, because of specific reuse policies of these institutions. Please consult the URLs of each institution's data reuse policy for further details (in French): AN (http://www.archives-nationales.culture.gouv.fr/reutilisation-des-donnees-publiques), AD Ain (http://www.archives.ain.fr/n/reutilisation-des-donnees-publiques/n:124), AD Vaucluse (http://archives.vaucluse.fr/fileadmin/user_upload/_site-archives/autres_formats/6_qui_sommes_nous/infos_pratiques/ETALAB-Licence-Ouverte-v2.0_AD84.pdf), DREAL (CC-BY) (http://www.auvergne-rhone-alpes.developpement-durable.gouv.fr/les-conditions-de-mise-a-disposition-des-donnees-a9804.html), BnF (https://www.bnf.fr/fr/faire-une-utilisation-commerciale-dune-reproduction#:~:text=L'utilisation%20non%20commerciale%20des,ou%20Biblioth%C3%A8que%20nationale%20de%20France.), AD Rhône (https://archives.rhone.fr/?id=39), AD Ardèche (https://archives.ardeche.fr/n/reutilisation-des-informations-publiques/n:86), AD Drôme (https://archives.ladrome.fr/editorial/page/05bf1f6c-b194-4b79-89a0-8d5f13cf5a12), University of Grenoble (CC-BY-NC) (https://www.univ-grenoble-alpes.fr/medias/fichier/charte-uga-v1-2-4_1540454734901-pdf?INLINE=FALSE), AD Gard (CC-BY-ND) (http://www.archives.gard.fr/direct-et-pratique/direct-pratique/reutilisation-des-donnees-publiques.html), AD Savoie (CC-BY-NC and nominative license: available on request) (http://www.savoie-archives.fr/865-reproduction-et-utilisation.htm), AD Isère (public dissemination prohibited: available on request) (https://archives.isere.fr/page/conditions-de-reutilisation-des-donnees-publiques), CNR (available on request), IGN (available at https://remonterletemps.ign.fr/).
DOI: 10.6084/m9.figshare.25202753
title: Support for EU membership as political trust

description: This is the dataset for the research project "<b>Support for EU Membership as Institutional Trust: Evidence from the Western Balkans</b>"
DOI: 10.15468/dl.zk34yk
title: Occurrence Download

description: A dataset containing 3701178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 "Geometry POLYGON ((125.52 -37.12214, 142.5665 -39.04918, 143.194 -25.16979, 128.3434 -24.04054, 125.52 -37.12214))"
 ]
}

 The dataset includes 3701178 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213242-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.922985
title: Interpolated Global surface ocean carbon dioxide partial pressure and ocean-atmosphere fluxes 1992-2018, corrected for surface temperature deviations

description: The data set consists of interpolated fields of global surface ocean partial pressure of carbon dioxide (pCO2sw) and the flux of CO2 between ocean and atmosphere, on monthly time and 1-degree latitude and longitude, between January 1992 and December 2018. The pCO2sw is interpolated to this grid from the data set of Holding et al: https://doi.org/10.1594/PANGAEA.905316, which is in turn derived from the the SOCATv2019 observational data (https://www.socat.info/) where the observations have been corrected to the surface subskin temperature using satellite-derived surface temperature products. The interpolation uses the neural net technique of Landschützer et al. ( Biogeosciences 10, 7793-7815, doi:10.5194/bg-10-7793-2013 2013). The ocean-atmosphere flux is then calculated, using the gas transfer equation with the gas transfer velocity parameterized as a function of wind speed and atmospheric mixing ratio of CO2, with a further correction for the cool (and salty) surface ocean skin. These corrections for near-surface temperature deviations increase the net negative (e.g. into the ocean) flux. Full details are given in the corresponding article in Nature Communications (doi:10.1038/s41467-020-18203-3) and its accompanying extended data.
description: This data submission comprises two files in NETcdf (classic version 4) format:“watson_et_al_natcomms_surface_pco2.nc” and “watson_et_al_natcomms_surface_fgco2.nc”. The“… surface_pco2 …” file contains estimates a variable spco2, which is global surface ocean partialpressure of carbon dioxide (pCO2) in microatmospheres. The “… surface_fgco2 …” file contains avariable fgco2, which is global ocean‐atmosphere flux of carbon dioxide in mol m‐2 s‐1. The estimatesare on a 1 x 1 degree latitude and longitude, and 1 month time resolution, for months betweenJanuary 1992 and December 2018. The pCO2 is corrected to the ocean “subskin” temperature, a fewmillimetres below the surface, and the flux estimates are corrected for near‐surface temperaturedeviations that substantially affect the flux calculation.The files also contain grid variables which denote the centre in time or space of the gridpoints:time: (months, 1‐324 where 1 is January 1992, months are taken to be of equal length, 1/12 of ayear).longitude: (‐179.5, ‐178.5, …. 179.5) degrees eastlatitude: (‐89.5 ‐88.5, … 89.5) degrees northThe derivation of the data is described in detail in the Methods section and supplementaryinformation of (Watson et al. 2020)
DOI: 10.1594/pangaea.921895
title: TLS based snow covered area maps of the Weisssee snow research site (Kaunertal, Austria)

description: The data set comprises an inter- and intra-annual timeseries of ten high-resolution (0.5 x 0.5 m) binary snow covered area (SCA) maps derived from TLS scans at the Weisssee Snow Research Site in Austria between March 2017 and November 2019. TLS based digital elevation models and difference (snow depth) grids can be downloaded as a separate dataset (Fey et al., 2018; https://doi.org/10.1594/PANGAEA.896843).The binary classification of snow-covered and snow-free areas is based on intensity and snow depth. An intensity threshold of 3000 was defined based on histogram analysis in patchy snowpack conditions. Snow-covered areas were delineated according to TLS based snow depth information. Snow-depth related classifications were based on a threshold value representing the precision of the TLS acquisition represented by the standard deviation of snow-free surfaces (see Fey et al., 2019). The resulting classification was validated with fully snow covered scenes. For the scene of 2017-05-07 two available TLS scans, one with a Riegl VZ-4000 and another with a Riegl VZ-6000 scanner, were combined into one snow covered area map. This was done due to the fact that the VZ-4000 data is better suited for snow cover discrimination based on intensity data, while not providing data on wet snow surfaces in larger distance where the VZ-6000 scanner still provides snow depth observations.The overall coverage of the scan area is identical to the one of the DGM dataset. The SCA dataset comprises three classes: snow-free (0), snow-covered (1) and NoData (-99999). No data areas are caused by obstacles in the field-of-view of the laserscanner. The SCA data can be used for validating remote sensing products including fractional snow coverage from e.g. Landsat and Sentinel-2 as done in the related literature.
DOI: 10.15468/dl.djykxl
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SILENE-FAUNE-PACA - DREAL_PACA_-_N2000_-_Parc_Naturel_Régional_de_Camargue_2017_12_18"
 ]
}

 The dataset includes 369 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011123-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxy5t4
title: Occurrence Download

description: A dataset containing 7003 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.2.58_2)"
 ]
}

 The dataset includes 7003 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027413-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.922435
title: Iconographic resources for a cartographic and topo-bathymetric archive dataset on the French Rhône River (17th-20th centuries)

description: The archived resources contain 3436 images stored in 32 files and 342 sub-files.
description: The CC-BY-NC license was chosen to meet the data reuse policies of the 14 French archive services investigated in this study (either CC-BY or CC-BY-NC). Ten items among the 350 items in the dataset are not furnished in the iconographic database. They are indicated as “available on request” in the table ArchiveResources_Properties.csv, because of specific reuse policies of these institutions. Please consult the URLs of each institution's data reuse policy for further details (in French): AN (http://www.archives-nationales.culture.gouv.fr/reutilisation-des-donnees-publiques), AD Ain (http://www.archives.ain.fr/n/reutilisation-des-donnees-publiques/n:124), AD Vaucluse (http://archives.vaucluse.fr/fileadmin/user_upload/_site-archives/autres_formats/6_qui_sommes_nous/infos_pratiques/ETALAB-Licence-Ouverte-v2.0_AD84.pdf), DREAL (CC-BY) (http://www.auvergne-rhone-alpes.developpement-durable.gouv.fr/les-conditions-de-mise-a-disposition-des-donnees-a9804.html), BnF (https://www.bnf.fr/fr/faire-une-utilisation-commerciale-dune-reproduction#:~:text=L'utilisation%20non%20commerciale%20des,ou%20Biblioth%C3%A8que%20nationale%20de%20France.), AD Rhône (https://archives.rhone.fr/?id=39), AD Ardèche (https://archives.ardeche.fr/n/reutilisation-des-informations-publiques/n:86), AD Drôme (https://archives.ladrome.fr/editorial/page/05bf1f6c-b194-4b79-89a0-8d5f13cf5a12), University of Grenoble (CC-BY-NC) (https://www.univ-grenoble-alpes.fr/medias/fichier/charte-uga-v1-2-4_1540454734901-pdf?INLINE=FALSE), AD Gard (CC-BY-ND) (http://www.archives.gard.fr/direct-et-pratique/direct-pratique/reutilisation-des-donnees-publiques.html), AD Savoie (CC-BY-NC and nominative license: available on request) (http://www.savoie-archives.fr/865-reproduction-et-utilisation.htm), AD Isère (public dissemination prohibited: available on request) (https://archives.isere.fr/page/conditions-de-reutilisation-des-donnees-publiques), CNR (available on request), IGN (available at https://remonterletemps.ign.fr/).
DOI: 10.1594/pangaea.922436
title: Longitudinal coverage of a cartographic and topo-bathymetric archive dataset on the French Rhône River (17th-20th centuries)

description: This dataset contains GIS polyline layer of the longitudinal coverage of 350 data items (geographic coordinate system: WGS84 EPSG 4326).
description: The CC-BY-NC license was chosen to meet the data reuse policies of the 14 French archive services investigated in this study (either CC-BY or CC-BY-NC). Ten items among the 350 items in the dataset are not furnished in the iconographic database. They are indicated as “available on request” in the table ArchiveResources_Properties.csv, because of specific reuse policies of these institutions. Please consult the URLs of each institution's data reuse policy for further details (in French): AN (http://www.archives-nationales.culture.gouv.fr/reutilisation-des-donnees-publiques), AD Ain (http://www.archives.ain.fr/n/reutilisation-des-donnees-publiques/n:124), AD Vaucluse (http://archives.vaucluse.fr/fileadmin/user_upload/_site-archives/autres_formats/6_qui_sommes_nous/infos_pratiques/ETALAB-Licence-Ouverte-v2.0_AD84.pdf), DREAL (CC-BY) (http://www.auvergne-rhone-alpes.developpement-durable.gouv.fr/les-conditions-de-mise-a-disposition-des-donnees-a9804.html), BnF (https://www.bnf.fr/fr/faire-une-utilisation-commerciale-dune-reproduction#:~:text=L'utilisation%20non%20commerciale%20des,ou%20Biblioth%C3%A8que%20nationale%20de%20France.), AD Rhône (https://archives.rhone.fr/?id=39), AD Ardèche (https://archives.ardeche.fr/n/reutilisation-des-informations-publiques/n:86), AD Drôme (https://archives.ladrome.fr/editorial/page/05bf1f6c-b194-4b79-89a0-8d5f13cf5a12), University of Grenoble (CC-BY-NC) (https://www.univ-grenoble-alpes.fr/medias/fichier/charte-uga-v1-2-4_1540454734901-pdf?INLINE=FALSE), AD Gard (CC-BY-ND) (http://www.archives.gard.fr/direct-et-pratique/direct-pratique/reutilisation-des-donnees-publiques.html), AD Savoie (CC-BY-NC and nominative license: available on request) (http://www.savoie-archives.fr/865-reproduction-et-utilisation.htm), AD Isère (public dissemination prohibited: available on request) (https://archives.isere.fr/page/conditions-de-reutilisation-des-donnees-publiques), CNR (available on request), IGN (available at https://remonterletemps.ign.fr/).
DOI: 10.15468/dl.gbemas
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tachiramantis prolixodiscus (Lynch, 1978)"
 ]
}

 The dataset includes 99 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299134-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.921922
title: EDGARv5.0 Air Pollutant Emissions

description: EDGARv5.0 provides emissions not only for the greenhouse gases per sector and country but also for the air pollutants:- Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4).- Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2).- Primary particulates: Fine Particulate Matter (PM10 and PM2.5 and Carbonaceous speciation (BC, OC).Emissions from large scale biomass burning with Savannah burning, forest fires, and sources and sinks from land-use, land-use change and forestry (LULUCF) are excluded.Further information can be found at https://edgar.jrc.ec.europa.eu/overview.php?v=50_AP
DOI: 10.15468/dl.qu88st
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylothais virgata (Dillwyn, 1817)"
 ]
}

 The dataset includes 706 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017192-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5aw4p
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SILENE-FAUNE-PACA - DREAL_PACA_-_N2000_-_Ville_de_Fréjus_2017_12_18"
 ]
}

 The dataset includes 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011139-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxxt9z
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Loxodonta cyclotis (Matschie, 1900)"
 ]
}

 The dataset includes 48 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299159-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.922749
title: A late Pleistocene dataset of Agulhas Current variability

description: The interoceanic transfer between the Indian and the Atlantic Oceans known as 'Agulhas leakage' is of global significance as it alters the Atlantic Meridional Overturning Circulation (AMOC) on different time scales. Variability in the Agulhas Current regime is key in shaping hydroclimate on the adjacent coastal areas of the African continent today as well as during the past. However, the lack of long, continuous records from the Agulhas Current core region dating beyond the last glacial cycle prevents elucidation of its role in regional and wider global climate changes. This is the first continuous record of hydrographic variability (SST; δ18Osw) from the Agulhas Current core region spanning the past 270,000 years. The data set is analytical sound and provides a solid age model. As such, it can be used by paleoclimate scientists, archaeologists, and climate modelers to evaluate e.g. linkages between the Agulhas Current system and AMOC dynamics, as well as connections between ocean heat transport and Southern African climate change in the past and its impact on human evolution.
DOI: 10.15468/dl.85buys
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vexilla vexillum (Gmelin, 1791)"
 ]
}

 The dataset includes 491 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017198-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crk54c
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ulex europaeus L."
 ]
}

 The dataset includes 159 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028625-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s3we7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marsipococcus marsupialis (Green, 1904)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0367895-210914110416597/datasets/export for details.