cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.undab8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia fairchildii Ardi & D.C.Thomas"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053028-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1935339/2366676
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.1tzlhx
title: Occurrence Download

description: A dataset containing 3074 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Figure 5) Occurrence of planktonic foraminifers and other selected constituents in samples from DSDP Hole 80-549"
 ]
}

 The dataset includes 3074 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010217-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26bcp2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dillenia marsupialis Hoogland"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029921-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px9cm6
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria laevigata Lam."
 ]
}

 The dataset includes 269 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012074-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-11.1883349/2366677
title: Data for EMSL Project 50076 from November 2019
DOI: 10.15468/dl.s3vo1i
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solenopsis invicta Buren, 1972",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 750 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010218-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-12.1895412/2366678
title: Data for EMSL Project 50076 from December 2019
DOI: 10.15468/dl.696enp
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dillenia ovalifolia Hoogland"
 ]
}

 The dataset includes 97 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029972-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfes8d
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus chiapensis (Martínez) Andresen"
 ]
}

 The dataset includes 454 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012076-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937354/2366679
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.wmqrof
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stenorrhina freminvillii Peters & Orejasmiranda, 1970"
 ]
}

 The dataset includes 465 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010218-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbxu7w
title: Occurrence Download

description: A dataset containing 7885 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trogon violaceus J.F.Gmelin, 1788"
 ]
}

 The dataset includes 7885 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012084-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-02.1939280/2366680
title: Data for EMSL Project 50076 from February 2020
DOI: 10.15468/dl.zhwy57
title: Occurrence Download

description: A dataset containing 2134 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Phylloscopus subaffinis Ogilvie-Grant, 1900"
 ]
}

 The dataset includes 2134 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029959-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yp6irm
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vultur gryphus Linnaeus, 1758",
 "Geometry POLYGON((-88.24 -5.91,-88.24 13.02,-58.29 13.02,-58.29 -5.91,-88.24 -5.91))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 355 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010219-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-12.1895225/2366681
title: Data for EMSL Project 50076 from December 2019
DOI: 10.15468/dl.xqm38w
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Leptobrachium xanthospilum Lathrop, Murphy, Orlov & Ho, 1998"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043513-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-12.1895365/2366682
title: Data for EMSL Project 50076 from December 2019
DOI: 10.15468/dl.7fbbwm
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dillenia papuana Martelli"
 ]
}

 The dataset includes 181 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029986-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfemvd
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Large protozoa abundance measured on concentrated water bottle samples at station PS58/090-2"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010219-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-11.1894666/2366683
title: Data for EMSL Project 50076 from November 2019
DOI: 10.15468/dl.8rm5fz
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Eleutherodactylus ligiae Incháustegui, Díaz & Marte, 2015"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043601-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66h8p5
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diascia macrophylla (Thunb.) Spreng."
 ]
}

 The dataset includes 55 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030000-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937159/2366684
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.j9rbye
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stenorrhina freminvillei (Duméril, Bibron & Duméril, 1854)"
 ]
}

 The dataset includes 350 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010219-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-12.1895430/2366685
title: Data for EMSL Project 50076 from December 2019
DOI: 10.15468/dl.euk6aa
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Physalaemus spiniger (Miranda-Ribeiro, 1926)"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043570-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez2qwu
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dillenia montana Diels"
 ]
}

 The dataset includes 53 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029943-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xeghu
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidaploa pseudaurea (D.J.N.Hind) H.Rob."
 ]
}

 The dataset includes 30 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010219-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-12.1895433/2366686
title: Data for EMSL Project 50076 from December 2019
DOI: 10.15468/dl.59rxps
title: Occurrence Download

description: A dataset containing 426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Tragopan temminckii (J.E.Gray, 1831)",
 "Year 2013-2023"
 ]
}

 The dataset includes 426 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043603-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-12.1896340/2366687
title: Data for EMSL Project 50076 from December 2019
DOI: 10.15468/dl.e53kqv
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dypsis procera Jum."
 ]
}

 The dataset includes 79 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029886-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vor0em
title: Occurrence Download

description: A dataset containing 1562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptonycteris nivalis (Saussure, 1860)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1562 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010220-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1935573/2366688
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.5ea738
title: Occurrence Download

description: A dataset containing 4023 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dimocarpus longan Lour."
 ]
}

 The dataset includes 4023 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043636-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs4pwr
title: Occurrence Download

description: A dataset containing 3702 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Araucaria araucana (Molina) K.Koch"
 ]
}

 The dataset includes 3702 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029974-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1935192/2366689
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.uvpepp
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campylopus pilifer Brid.",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-26.02 35.02,-26.02 58.49,29.09 58.49,29.09 35.02,-26.02 35.02))",
 "Year 1990-2020"
 ]
}

 The dataset includes 239 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010220-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89jf22
title: Occurrence Download

description: A dataset containing 6700 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus regnans F.Muell."
 ]
}

 The dataset includes 6700 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043650-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1936656/2366690
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.ccac7v
title: Occurrence Download

description: A dataset containing 1338 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Perdix hodgsoniae (Hodgson, 1856)"
 ]
}

 The dataset includes 1338 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030005-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4klhfa
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Large protozoa abundance measured on concentrated water bottle samples at station PS58/061-3"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010220-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937550/2366691
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.h4g6wm
title: Occurrence Download

description: A dataset containing 10448226 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 10448226 records from 4912 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043587-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10683255
title: EuroCropsML

description: EuroCropsML is a ready-to-use ML dataset combining EuroCrops (v9) reference data with Sentinel-2 reflectance data from 2021. It contains data from Latvia, Portugal, and Estonia and is intended for benchmarking few-shot crop type classification. We used Eurostat's GISCO dataset to map the EuroCrops parcels to their NUTS1-3 region.

The provided data comes in two stages:



raw_data.zip (stage 1): One dataframe per country containing a annual time series of observations for each parcel, as well as separate files for the parcels' geometries and classes (EC_hcat_c = 10-digit HCAT code indicating the hierarchy of the crop).

preprocess.zip (stage 2): Read-to-use .npz-files. Each data point is saved in an .npz-file along with its metadata (parcel's centroid in [lon,lan]; observation dates). In addition, we performed some cloud removal steps. Each .npz-file is saved with the following naming convention: NUTS3region_parcelID_EC_hcat_c.npz


Furthermore, split.zip contains .json-files that split the files from preprocess.zip into a pre-training/meta-learning (train and validation) and fine-tuning (train, validation, and test) dataset. In total, we provide two use cases:



latvia_portugal_vs_estonia: pre-training on Latvia and Portugal, fine-tuning on Estonia

latvia_vs_estonia: pre-training on Latvia and fine-tuning on Estonia


For both use cases, the fine-tuning split is as follows:



train: 1-, 5-, and 10-shot (for few-shot classification and benchmarking)

validation: 1000 samples

test: all samples


 

Changelog



Version 2: Remove data points that contain only clouds after pre-processing.

Version 1: Initial publication
DOI: 10.5281/zenodo.10816953
title: EuroCropsML

description: EuroCropsML is a ready-to-use ML dataset combining EuroCrops reference data with Sentinel-2 reflectance data from 2021. It contains data from Latvia, Portugal, and Estonia and is intended for benchmarking few-shot crop type classification. We used Eurostat's GISCO dataset to map the EuroCrops parcels to their NUTS1-3 region.

The provided data comes in two stages:



raw_data.zip (stage 1): One dataframe per country containing a annual time series of observations for each parcel, as well as separate files for the parcels' geometries and classes (EC_hcat_c = 10-digit HCAT code indicating the hierarchy of the crop).

preprocess.zip (stage 2): Read-to-use .npz-files. Each data point is saved in an .npz-file along with its metadata (parcel's centroid in [lon,lan]; observation dates). In addition, we performed some cloud removal steps. Each .npz-file is saved with the following naming convention: NUTS3region_parcelID_EC_hcat_c.npz


Furthermore, split.zip contains .json-files that split the files from preprocess.zip into a pre-training/meta-learning (train and validation) and fine-tuning (train, validation, and test) dataset. In total, we provide two use cases:



latvia_portugal_vs_estonia: pre-training on Latvia and Portugal (142 distinct classes), fine-tuning on Estonia (127 distinct classes, from which 34 have not been seen during pre-training)

latvia_vs_estonia: pre-training on Latvia (103 distinct classes) and fine-tuning on Estonia (127 distinct classes, from which 46 have not been seen during pre-training)


For both use cases, the fine-tuning split is as follows:



train: 1-, 5-, and 10-shot (for few-shot classification and benchmarking)

validation: 1000 samples

test: all samples


 

Changelog



Version 3: Some parcels have been clipped incorrectly. Please do not rely on this version. Use version 4 or newer. 

Version 2: Remove datapoints that contain only cloudy observations (in preprocess.zip).

Version 1: Initial publication
DOI: 10.5281/zenodo.10887070
title: EuroCropsML

description: EuroCropsML is a ready-to-use ML dataset combining EuroCrops reference data with Sentinel-2 reflectance data from 2021. It contains data from Latvia, Portugal, and Estonia and is intended for benchmarking few-shot crop type classification. We used Eurostat's GISCO dataset to map the EuroCrops parcels to their NUTS1-3 region.

The provided data comes in two stages:



raw_data.zip (stage 1): One dataframe per country containing a annual time series of observations for each parcel, as well as separate files for the parcels' geometries and classes (EC_hcat_c = 10-digit HCAT code indicating the hierarchy of the crop).

preprocess.zip (stage 2): Read-to-use .npz-files. Each data point is saved in an .npz-file along with its metadata (parcel's centroid in [lon,lan]; observation dates). In addition, we performed some cloud removal steps. Each .npz-file is saved with the following naming convention: <NUTS3region>_<parcelID>_<EC_hcat_c>.npz


Furthermore, split.zip contains .json-files that split the files from preprocess.zip into a pre-training/meta-learning (train and validation) and fine-tuning (train, validation, and test) dataset. In total, we provide two use cases:



latvia_portugal_vs_estonia: pre-training on Latvia and Portugal (142 distinct classes), fine-tuning on Estonia (127 distinct classes, of which 34 have not been seen during pre-training)

latvia_vs_estonia: pre-training on Latvia (103 distinct classes) and fine-tuning on Estonia (127 distinct classes, of which 46 have not been seen during pre-training)


For both use cases, the fine-tuning split is as follows:



train: 1-, 5-, 10-, 20-, 100-shot (for few-shot classification and benchmarking) and all samples

validation: 1000 samples

test: all samples


 

Changelog



Version 6: Added new (few-shot) fine-tuning splits: 20, 100, and all samples

Version 4: The EuroCrops shapefilees sometimes contain a couple of parcels that lie outside the national borders. We now map them to the closest NUTS region within the country. Please rely on this version or newer.

Version 3: Some parcels have been clipped incorrectly. 

Version 2: Remove datapoints that contain only cloudy observations (in preprocess.zip).

Version 1: Initial publication