cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7895239
title: EuroCrops

description: __________________________________ <strong>EuroCrops</strong> is a dataset collection combining all publicly available self-declared crop reporting datasets from countries of the European Union. The raw data obtained from the countries does not come in a unified, machine-readable taxonomy. We, therefore, developed a new <strong>Hierarchical Crop and Agriculture Taxonomy (HCAT)</strong> that harmonises all declared crops across the European Union. In the shapefiles you'll find these as additional attributes: Hamonisation with HCAT Attribute Name Explanation EC_trans_n The original crop name translated into English EC_hcat_n The machine-readable HCAT name of the crop EC_hcat_c The 10-digit HCAT code indicating the hierarchy of the crop <strong>Participating countries</strong> Find detailed information for all countries of the European Union in our GitHub Wiki, especially the countries represented in EuroCrops: Austria Belgium Germany Denmark Estonia Spain France Croatia Lithuania Latvia Netherlands Portugal Romania Sweden Slovenia Slovakia Please also reference the countries' dependent source in case you're using their data. <strong>Changelog</strong> <strong>Version 8:</strong> Updated HCAT3 (<strong>not</strong> downwards compatible): to merge spring and summer cereals, with the exception of unspecified_cereals due the presence of three seasons of cereal in Lithuania. Fixed wayward coordinates in France and wrong class mappings in NL. Added Portugal. issue #26 <strong>Version 7:</strong> Introduced HCAT3 (<strong>not</strong> downwards compatible): to merge spring and summer wheat, fix typos and extra z dimensions - issues #11 #13 #20 #21 #22 <strong>Version 6:</strong> Updates to HCAT (downwards compatible) and fix FR and NL mappings - Pull request #18 <strong>Version 5:</strong> Fix wrong year for NL - Pull request #16 <strong>Version 4: </strong>Add preview of DE-NRW attribute table for zenodo (<strong>no dataset changes</strong>) <strong>Version 3: </strong>Fix wrong class mappings in NL and SK - Pull request #10 issues #7 and #9 <strong>Version 2: </strong>Fix wrong class mappings in DK - Pull request #5 <strong>Version 1:</strong> Initial publication
description: The project is funded by the German Space Agency at DLR on behalf of the Federal Ministry for Economic Affairs and Climate Action (BMWK).
description: {"references": ["Schneider, M., Broszeit, A. & K\u00f6rner, M. EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification. in Proceedings of the Conference on Big Data from Space (BiDS) (eds. Soille, P., Loekken, S. & Albani, S.) (Publications Office of the European Union, 2021). doi:10.2760/125905."]}
DOI: 10.5281/zenodo.8229128
title: EuroCrops

description: __________________________________ <strong>EuroCrops</strong> is a dataset collection combining all publicly available self-declared crop reporting datasets from countries of the European Union. The raw data obtained from the countries does not come in a unified, machine-readable taxonomy. We, therefore, developed a new <strong>Hierarchical Crop and Agriculture Taxonomy (HCAT)</strong> that harmonises all declared crops across the European Union. In the shapefiles you'll find these as additional attributes: Hamonisation with HCAT Attribute Name Explanation EC_trans_n The original crop name translated into English EC_hcat_n The machine-readable HCAT name of the crop EC_hcat_c The 10-digit HCAT code indicating the hierarchy of the crop <strong>Participating countries</strong> Find detailed information for all countries of the European Union in our GitHub Wiki, especially the countries represented in EuroCrops: Austria Belgium Germany Denmark Estonia Spain France Croatia Lithuania Latvia Netherlands Portugal Romania Sweden Slovenia Slovakia Please also reference the countries' dependent source in case you're using their data. <strong>Changelog</strong> <strong>Version 9:</strong> Removed hidden files and added country mapping. <strong>Version 8:</strong> Updated HCAT3 (<strong>not</strong> downwards compatible): to merge spring and summer cereals, with the exception of unspecified_cereals due the presence of three seasons of cereal in Lithuania. Fixed wayward coordinates in France and wrong class mappings in NL. Added Portugal. issue #26 <strong>Version 7:</strong> Introduced HCAT3 (<strong>not</strong> downwards compatible): to merge spring and summer wheat, fix typos and extra z dimensions - issues #11 #13 #20 #21 #22 <strong>Version 6:</strong> Updates to HCAT (downwards compatible) and fix FR and NL mappings - Pull request #18 <strong>Version 5:</strong> Fix wrong year for NL - Pull request #16 <strong>Version 4: </strong>Add preview of DE-NRW attribute table for zenodo (<strong>no dataset changes</strong>) <strong>Version 3: </strong>Fix wrong class mappings in NL and SK - Pull request #10 issues #7 and #9 <strong>Version 2: </strong>Fix wrong class mappings in DK - Pull request #5 <strong>Version 1:</strong> Initial publication
description: The project is funded by the German Space Agency at DLR on behalf of the Federal Ministry for Economic Affairs and Climate Action (BMWK).
description: {"references": ["Schneider, M., Broszeit, A. & K\u00f6rner, M. EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification. in Proceedings of the Conference on Big Data from Space (BiDS) (eds. Soille, P., Loekken, S. & Albani, S.) (Publications Office of the European Union, 2021). doi:10.2760/125905."]}
DOI: 10.5281/zenodo.14102869
title: Surface flow velocity from Pulmanki, Koita and Sävar Rivers 2020-2022

description: Data description:Surface flow velocity dataset was created using Hydro-STIV software (Hydro-STIV v.1.2.2, Hydro Technology Institute co.), which uses Space-Time Image Velocimetry (STIV) for velocity estimation, a method derived from Large-Scale Particle Image Velocimetry (LSPIV) developed by Fujita in 2007 (Fujita et al., 2007). The videos were georeferenced using known GCPs and the software performed orthorectification and calibration. The data has been used for publication "Surface flow and ice rafting velocities during freezing and thawing periods in Nordic rivers". Data consists of videos and daily stil images from Pulmanki, Koita and Sävar Rivers from Autumn freezing and Spring thawing periods. The data from Koita River is from 2020-2021 and from Pulmanki and Sävar Rivers from 2021-2022. The original raw data based on which the STIV analysis was performed was collected with Burrel time-lapse RGB cameras. 

 

Acknowledgements:The river-ice related measurements were initiated at Pulmankijoki River in 2014 under the post-doctoral research project of Dr Lotsari, funded by the Research Council of Finland (ExRIVER: grant number 267345), and this study is a continuum in the series of these winter season studies. The work for this study was financially supported by four other projects funded by the Research Council of Finland (DefrostingRivers: 338480; HYDRO-RDI-Network: 337394; Digital Waters [DIWA] Flagship;359248). In addition, the work was funded by The European Union – NextGenerationEU Recovery instrument (RRF) through Research Council of Finland projects Hydro RI Platform (346167) and Green-Digi-Basin (347703). The Department of Geographical and Historical Studies, University of Eastern Finland, supported financially the field work done at Koita River. The work by Dr Lina Polvi-Sjöberg at the Sävar River was financed by a grant (2023-01513) from the Swedish Research Council Formas.
DOI: 10.5281/zenodo.14102870
title: Surface flow velocity from Pulmanki, Koita and Sävar Rivers 2020-2022

description: Data description:Surface flow velocity dataset was created using Hydro-STIV software (Hydro-STIV v.1.2.2, Hydro Technology Institute co.), which uses Space-Time Image Velocimetry (STIV) for velocity estimation, a method derived from Large-Scale Particle Image Velocimetry (LSPIV) developed by Fujita in 2007 (Fujita et al., 2007). The videos were georeferenced using known GCPs and the software performed orthorectification and calibration. The data has been used for publication "Surface flow and ice rafting velocities during freezing and thawing periods in Nordic rivers". Data consists of videos and daily stil images from Pulmanki, Koita and Sävar Rivers from Autumn freezing and Spring thawing periods. The data from Koita River is from 2020-2021 and from Pulmanki and Sävar Rivers from 2021-2022. The original raw data based on which the STIV analysis was performed was collected with Burrel time-lapse RGB cameras. 

 

Acknowledgements:The river-ice related measurements were initiated at Pulmankijoki River in 2014 under the post-doctoral research project of Dr Lotsari, funded by the Research Council of Finland (ExRIVER: grant number 267345), and this study is a continuum in the series of these winter season studies. The work for this study was financially supported by four other projects funded by the Research Council of Finland (DefrostingRivers: 338480; HYDRO-RDI-Network: 337394; Digital Waters [DIWA] Flagship;359248). In addition, the work was funded by The European Union – NextGenerationEU Recovery instrument (RRF) through Research Council of Finland projects Hydro RI Platform (346167) and Green-Digi-Basin (347703). The Department of Geographical and Historical Studies, University of Eastern Finland, supported financially the field work done at Koita River. The work by Dr Lina Polvi-Sjöberg at the Sävar River was financed by a grant (2023-01513) from the Swedish Research Council Formas.
DOI: 10.15468/dl.429gzs
title: Occurrence Download

description: A dataset containing 9703 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triatoma infestans (Klug, 1834)"
 ]
}

 The dataset includes 9703 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010910-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bk663
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pontosphaera huxleyi, Hymenomonas huxleyi (Lohmann, 1902) Kamptner, 1930, Coccolithus huxleyi (Lohmann) Kamptner et al., Emiliania huxleyi (Lohmann) Hay & Mohler, 1967, Gephyrocapsa huxleyi (Lohmann, 1902) Reinhart, 1972)",
 "Geometry POLYGON ((-70.0 45.0, -55.0 45.0, -55.0 55.0, -70.0 55.0, -70.0 45.0))"
 ]
}

 The dataset includes 52 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010912-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14103429
title: _2024_due_ANAC

description: Simulation data and SAXS data for ANAC046 from Due et al. 2024
DOI: 10.5281/zenodo.14103430
title: _2024_due_ANAC

description: Simulation data and SAXS data for ANAC046 from Due et al. 2024
DOI: 10.5281/zenodo.14102836
title: Oferta bodies per nadons amb ZalandoScraper

description: El dataset conté diferent informació d’utilitat per a poder fer una ràpida comparació dels articles resultants segons la url que contingui l’script i permetre escollir la millor opció.

En el cas que ens ocupa, segons el context de bodies per a nadons, el dataset inclou tots els resultats corresponents al moment de l’extracció de la informació de la web de Zalando. 

El dataset inclou els següents camps:





La marca dels productes




El nombre d’unitats que inclou el pack (en el cas que hi hagi). Si no hi ha pack, es considera que és una unitat.




El preu original




El preu descomptat




El percentatge de descompte que s’aplica




El link del producte.



El període de temps a què pertanyen les dades que conté el repositori de GitHub és del mateix dia de l’entrega 12/11/2024. Les dades es poden extreure en qualsevol període sempre que hi hagin ofertes.
DOI: 10.5281/zenodo.14102837
title: Oferta bodies per nadons amb ZalandoScraper

description: El dataset conté diferent informació d’utilitat per a poder fer una ràpida comparació dels articles resultants segons la url que contingui l’script i permetre escollir la millor opció.

En el cas que ens ocupa, segons el context de bodies per a nadons, el dataset inclou tots els resultats corresponents al moment de l’extracció de la informació de la web de Zalando. 

El dataset inclou els següents camps:





La marca dels productes




El nombre d’unitats que inclou el pack (en el cas que hi hagi). Si no hi ha pack, es considera que és una unitat.




El preu original




El preu descomptat




El percentatge de descompte que s’aplica




El link del producte.



El període de temps a què pertanyen les dades que conté el repositori de GitHub és del mateix dia de l’entrega 12/11/2024. Les dades es poden extreure en qualsevol període sempre que hi hagin ofertes.
DOI: 10.15468/dl.j2jm3n
title: Occurrence Download

description: A dataset containing 63383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linum usitatissimum L."
 ]
}

 The dataset includes 63383 records from 1000 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010903-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9d4jmx
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habromys simulatus (Osgood, 1904)"
 ]
}

 The dataset includes 58 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029381-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qx3n9k
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Centaurea lainzii Fern.Casas"
 ]
}

 The dataset includes 81 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037341-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqx1qp
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fungi",
 "DecimalLatitude is greater than 34.1851275061499",
 "DecimalLatitude is less than 34.7305287805809",
 "DecimalLongitude is greater than -78.438547097907",
 "DecimalLongitude is less than -77.779258833243"
 ]
}

 The dataset includes 755 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006320-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbh2m3
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1400.0",
 "TaxonKey is Tinamotis ingoufi Oustalet, 1890"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060238-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn7fb5
title: Occurrence Download

description: A dataset containing 6085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Parathelypteris japonica (Baker) Ching"
 ]
}

 The dataset includes 6085 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047510-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9v2s9
title: Occurrence Download

description: A dataset containing 6558 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Synedrella nodiflora (L.) Gaertn."
 ]
}

 The dataset includes 6558 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050704-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czn66a
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Tubastraea coccinea Lesson, 1830"
 ]
}

 The dataset includes 40 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064983-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42vuqa
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iceland",
 "TaxonKey is Rangifer tarandus (Linnaeus, 1758)"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004479-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uagnw
title: Occurrence Download

description: A dataset containing 4261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-92.28022 41.24935,-70.53206 41.24935,-70.53206 50.55674,-92.28022 50.55674,-92.28022 41.24935))",
 {
 "or" : [
 "TaxonKey is Lithobates sylvaticus (LeConte, 1825)",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)"
 ]
 },
 "Year 2018-2021"
 ]
}

 The dataset includes 4261 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073543-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l8bc8f
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haemulon sciurus (Shaw, 1803)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is less than or equal to 1980",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 166 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007350-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i18nod
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "Year 1999-2019",
 "HasCoordinate is true",
 "TaxonKey is Alouatta caraya (Humboldt, 1812)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 151 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004479-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azzlvr
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Pinus coulteri D.Don",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005812-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krxlfi
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protozoa",
 "DecimalLatitude is greater than 26.2918297145944",
 "DecimalLatitude is less than 27.8089749009234",
 "DecimalLongitude is greater than -97.7249766582417",
 "DecimalLongitude is less than -96.9566301945724"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007350-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cce7gm
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Akodon dayi Osgood, 1916"
 ]
}

 The dataset includes 159 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007350-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y6svj
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Daphne genkwa Siebold & Zucc."
 ]
}

 The dataset includes 399 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065003-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45qakz
title: Occurrence Download

description: A dataset containing 45247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-26.01562 16.29905,51.67969 20.30342,44.64844 54.77535,-23.20313 53.54031,-26.01562 16.29905))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August"
 ]
 },
 "TaxonKey is Burhinus oedicnemus (Linnaeus, 1758)"
 ]
}

 The dataset includes 45247 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037342-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsepmp
title: Occurrence Download

description: A dataset containing 32985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis mystacinus (Kuhl, 1817)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 32985 records from 1169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057937-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30383788
title: <i>Crucihimalaya himalaica</i> genomeV2.2 data

description: Crucihimalaya himalaica, a close relative of the model plant Arabidopsis thaliana, is predominantly distributed around the Qinghai–Tibet Plateau (QTP). We present an updated high-quality chromosome-level genome assembly (version 2.2) for C. himalaica, in which the chromosomes have been re-named to match the ancestral karyotype inferred from Crucihimalaya. lasiocarpa. The previous genome assembly (version 2.1) is available at https://doi.org/10.6084/m9.figshare.24486028.