cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.46gf86
title: Occurrence Download

description: A dataset containing 1176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Anomalepididae"
 ]
}

 The dataset includes 1176 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014813-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w9agp
title: Occurrence Download

description: A dataset containing 53190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((119.18058 30.27614,122.52365 30.27614,122.52365 32.51898,119.18058 32.51898,119.18058 30.27614))",
 "HasGeospatialIssue is false",
 "Year 2022-2023"
 ]
}

 The dataset includes 53190 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019102-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-14734
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 6, no. 1 (January 1933)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.ncnhsh
title: Occurrence Download

description: A dataset containing 438118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alliaria petiolata (M.Bieb.) Cavara & Grande"
 ]
}

 The dataset includes 438118 records from 1063 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0344540-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gk7mcr
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "InstitutionCode is one of (col, universidad nacional de colombia (unal))",
 "TaxonKey is Cheilolejeunea acutangula (Nees) Grolle"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019107-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4v6kfb
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is INSDC Sequences",
 "Geometry POLYGON((-12.16302 24.35843,51.2647 24.35843,51.2647 68.58718,-12.16302 68.58718,-12.16302 24.35843))",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001359-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65b993
title: Occurrence Download

description: A dataset containing 3497428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Country is Portugal",
 "Issue is one of (Continent derived from coordinates, Country derived from coordinates, Coordinate rounded, Geodetic datum assumed WGS84)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (53f347a7-99ce-4528-a085-5c76eb1301a0, 0a80feca-b411-428a-a34e-c5c2fa07cdba, d1805d75-066e-42d6-8cab-1c0d30323db3, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, da86174a-a605-43a4-a5e8-53d484152cd3, e5150835-f502-424c-b470-24dd496b1b18, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, bb646dff-a905-4403-a49b-6d378c2cf0d9, e3aa237e-53c8-4c46-93ef-77a18bb9c80e, 0363cbd4-f666-455e-8e86-0bbddcf51950)",
 "TaxonKey is Tracheophyta",
 "Year 1980-2023"
 ]
}

 The dataset includes 3497428 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001340-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-14718
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 5, no. 11-12 (November-December 1932)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.a63rqp
title: Occurrence Download

description: A dataset containing 2528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Capsella bursa-pastoris (L.) Medik."
 ]
}

 The dataset includes 2528 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005108-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vj2ks2
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (China, Japan, Nepal, Chinese Taipei, Indonesia, India, Thailand, Bangladesh, Korea, Republic of)",
 "TaxonKey is Rabdosia (Blume) Hassk."
 ]
}

 The dataset includes 468 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017188-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkmz4m
title: Occurrence Download

description: A dataset containing 1649705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is one of (North America, South America)",
 "Issue is one of (Coordinate rounded, Coordinate out of range, Geodetic datum assumed WGS84, Continent derived from coordinates, Continent derived from country, Continent country mismatch, Continent coordinate mismatch, Country derived from coordinates, Country mismatch, Country coordinate mismatch)",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphagus cyanocephalus (Wagler, 1829)",
 "Year 1946-2023"
 ]
}

 The dataset includes 1649705 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011074-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksd8uw
title: Occurrence Download

description: A dataset containing 190257 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ontario Breeding Bird Atlas 2001-2005"
 ]
}

 The dataset includes 190257 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022205-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p22vcy
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((150.30559 -34.81872,151.95927 -34.81872,151.95927 -33.44278,151.24113 -33.00204,150.30559 -33.44278,150.30559 -34.81872))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Polistes chinensis (Fabricius, 1793), Polistes humilis (Fabricius, 1781), Ctenochares bicolorus (Linnaeus, 1767), Lissopimpla excelsa (Costa, 1864), Vespula germanica (Fabricius, 1793), Sceliphron formosum (F.Smith, 1856), Evania appendigaster (Linnaeus, 1758), Scolia verticalis, Abispa splendida (Guerin, 1838), Echthromorpha intricatoria (Fabricius, 1804), Sceliphron laetum (F.Smith, 1856), Pseudabispa bicolor (de Saussure, 1855), Abispa ephippium (Fabricius, 1775), Ferreola handschini (Haupt, 1935), Cryptocheilus bicolor (Fabricius, 1775), Xanthocryptus novozealandicus (Dalla Torre, 1901), Diplazon laetatorius (Fabricius, 1781), Exeirus lateritius Shuckard, 1838, Polistes dominula (Christ, 1791), Sphex bilobatus Kohl, 1895, Netelia producta (Brulle, 1846), Theronia maculosa Krieger, 1906, Austrogorytes spryi (R.Turner, 1915), Cotesia glomerata (Linnaeus, 1758), Ichneumon promissorius Erichson, 1842, Cryptocheilus australis (Guérin-Méneville, 1830), Pison spinolae Shuckard, 1838)"
 ]
}

 The dataset includes 648 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015052-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsp7gq
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-920.0",
 "Geometry POLYGON((-74.72316 10.4117,-75.46593 9.43618,-75.04149 7.61736,-75.71351 6.31837,-75.78425 4.41687,-76.27943 3.07573,-77.02219 2.36913,-76.52702 1.62683,-74.54631 1.59147,-73.94503 4.24053,-73.83892 5.89635,-73.13152 7.79261,-73.48522 8.9823,-74.15725 10.27252,-74.72316 10.4117))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Soricidae",
 "Year 2000-2023"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001360-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-15346
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 9, no. 8-9 (August-September 1936)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.qxfmgb
title: Occurrence Download

description: A dataset containing 17931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.4.5_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17931 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009481-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14937012
title: BioDiv_BW_Biodiversity_1Night_LightTraps_Lepidoptera_2023

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Lepidoptera were caught with light traps, as part of one-night-sampling. Samples were weighed and biomass is given in gramms. Species determination was done by a taxonomist. 

One-night-samplings comprised light traps for insects, batcoders and small mammal camera traps and were done four times in field season 2023 (see dates below) on 15 BioDiv-Plots in the Bavarian Forest National park (Set 3).
DOI: 10.5281/zenodo.14937013
title: BioDiv_BW_Biodiversity_1Night_LightTraps_Lepidoptera_2023

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Lepidoptera were caught with light traps, as part of one-night-sampling. Samples were weighed and biomass is given in gramms. Species determination was done by a taxonomist. 

One-night-samplings comprised light traps for insects, batcoders and small mammal camera traps and were done four times in field season 2023 (see dates below) on 15 BioDiv-Plots in the Bavarian Forest National park (Set 3).
DOI: 10.5519/qd.5v9zxtbl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5954495 records)
DOI: 10.15468/dl.cvpthc
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Garra hughi Silas, 1955"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000598-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14937518
title: BioDiv_BW_Biodiversity_Coleoptera_2022

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Coleoptera caught with flight interception and pitfall traps (continuous sampling) as well as in light traps (night sampling) in field season 2022 on 15 BioDiv-Plots in the Bavarian Forest National park (Set 2). Species determination done by taxonomist.
DOI: 10.5284/1126674
title: Images and GIS Data from a Watching Brief at Dukes Field, Down Ampney, Gloucestershire, November 2023

description: This collection consists of images and GIS data from an archaeological watching brief by Cotswold Archaeology. The work occurred at Dukes Field, Down Ampney, Gloucestershire in November 2023.The watching brief identified the remains of a Second World War blast shelter, in the south-western part of the site. No further features or deposits of archaeological interest were observed and no artefactual material was recovered. No further features or deposits of archaeological interest were observed and no artefactual material was recovered.
DOI: 10.17632/bjzzf8ps5c.1
title: Data for relaxation of management intensity promotes butterfly communities in mountain grasslands

description: Our study investigated the effects of the relaxation of the management intensity of mountain grasslands on plant and butterfly communities. In 2019, 13 study sites were selected in the SW Swiss Alps, each including three meadows that had been intensively managed for at least the last 20 years. Adopting a randomised block design, two out of three meadows per study site were restored by shifting their mode of exploitation towards low-intensity (1/3 of the fertiliser dose applied beforehand) or extensive management (cessation of fertilisation), respectively, while the third continued to be managed intensively, serving as control. After four years (2023), plant species richness had increased by 9.3% in extensively-managed meadows. The butterfly abundance was more than twice greater (112%) and species richness 81% higher in extensively-managed meadows compared to controls. A higher butterfly abundance and species richness following management relaxation was mostly driven by a decrease in vegetation density and an increase in forb cover. 
These two datasets encompass vegetation and butterfly data used in this study. Vegetation composition was surveyed every two years from the start of the experiment (2019, 2021, 2023) in two permanent plots (2 m x 4 m) separated by 8 m and randomly placed in each meadow. Butterflies were recorded five times during the main flight period (May to September 2023) along fixed line transects (60 m - 120 m) in each meadow.
DOI: 10.5281/zenodo.14937447
title: BioDiv_BW_Biodiversity_Coleoptera_2021

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Coleoptera caught with flight interception and pitfall traps (continuous sampling) as well as in light traps (night sampling) in field season 2021 on 15 BioDiv-Plots in the Bavarian Forest National park (Set 1). Species determination done by taxonomist.
DOI: 10.5281/zenodo.14937448
title: BioDiv_BW_Biodiversity_Coleoptera_2021

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Coleoptera caught with flight interception and pitfall traps (continuous sampling) as well as in light traps (night sampling) in field season 2021 on 15 BioDiv-Plots in the Bavarian Forest National park (Set 1). Species determination done by taxonomist.
DOI: 10.15468/dl.pj6byp
title: Occurrence Download

description: A dataset containing 956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia polystachya DC."
 ]
}

 The dataset includes 956 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000587-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3760
title: FSD3760 Perceptions of Upper Secondary Education: Ninth-Graders 2022
DOI: 10.5281/zenodo.14937686
title: BioDiv_BW_Biodiversity_Coleoptera_2023

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Coleoptera caught with flight interception and pitfall traps (continuous sampling) as well as in light traps (night sampling) in field season 2023 on 15 BioDiv-Plots in the Bavarian Forest National park (Set 3). Species determination done by taxonomist.
DOI: 10.5281/zenodo.14937685
title: BioDiv_BW_Biodiversity_Coleoptera_2023

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Coleoptera caught with flight interception and pitfall traps (continuous sampling) as well as in light traps (night sampling) in field season 2023 on 15 BioDiv-Plots in the Bavarian Forest National park (Set 3). Species determination done by taxonomist.
DOI: 10.15468/dl.69auhs
title: Occurrence Download

description: A dataset containing 121539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arum italicum Mill.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 121539 records from 1107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000588-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10880007
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5281/zenodo.10424044
title: Modern China Geospatial Database - Main Dataset

description: MCGD_Data_V2.2 contains all the data that we have collected on locations in modern China, plus a number of locations outside of China that we encounter frequently in historical sources on China. All further updates will appear under the name "MCGD_Data" with a time stamp (e.g., MCGD_Data2023-06-21)

You can also have access to this dataset and all the datasets that the ENP-China makes available on GitLab: https://gitlab.com/enpchina/IndexesEnp

Altogether there are 464,970 entries. The data include the name of locations and their variants in Chinese, pinyin, and any recorded transliteration; the name of the province in Chinese and in pinyin; Province ID; the latitude and longitude; the Name ID and Location ID, and NameID_Legacy. The Name IDs all start with H followed by seven digits. This is the internal ID system of MCGD (the NameID_Legacy column records the Name IDs in their original format depending on the source). Locations IDs that start with "DH" are data points extracted from China Historical GIS (Harvard University); those that start with "D" are locations extracted from the data points in Geonames; those that have only digits (8 digits) are data points we have added from various map sources.

One of the main features of the MCGD Main Dataset is the systematic collection and compilation of place names from non-Chinese language historical sources. Locations were designated in transliteration systems that are hardly comprehensible today, which makes it very difficult to find the actual locations they correspond to. This dataset allows for the conversion from these obsolete transliterations to the current names and geocoordinates.

From June 2021 onward, we have adopted a different file naming system to keep track of versions. From MCGD_Data_V1 we have moved to MCGD_Data_V2. In June 2022, we introduced time stamps, which result in the following naming convention: MCGD_Data_YYYY.MM.DD. 

 

UPDATES

MCGD_Data2023.12.22 contains all the data that we have collected on locations in China, whatever the period. Altogether there are 465,603 entries (of which 187 place names without geocoordinates, labelled in the Lat Long columns as "Unknown"). The dataset also includes locations outside of China for the purpose of matching such locations to the place names extracted from historical sources. For example, one may need to locate individuals born outside of China. Rather than maintaining two separate files, we made the decision to incorporate all the place names found in historical sources in the gazetteer. Such place names can easily be removed by selecting all the entries where the 'Province' data is missing.
DOI: 10.5281/zenodo.10864153
title: Modern China Geospatial Database - Main Dataset

description: MCGD_Data_V2.2 contains all the data that we have collected on locations in modern China, plus a number of locations outside of China that we encounter frequently in historical sources on China. All further updates will appear under the name "MCGD_Data" with a time stamp (e.g., MCGD_Data2023-06-21)

You can also have access to this dataset and all the datasets that the ENP-China makes available on GitLab: https://gitlab.com/enpchina/IndexesEnp

Altogether there are 464,970 entries. The data include the name of locations and their variants in Chinese, pinyin, and any recorded transliteration; the name of the province in Chinese and in pinyin; Province ID; the latitude and longitude; the Name ID and Location ID, and NameID_Legacy. The Name IDs all start with H followed by seven digits. This is the internal ID system of MCGD (the NameID_Legacy column records the Name IDs in their original format depending on the source). Locations IDs that start with "DH" are data points extracted from China Historical GIS (Harvard University); those that start with "D" are locations extracted from the data points in Geonames; those that have only digits (8 digits) are data points we have added from various map sources.

One of the main features of the MCGD Main Dataset is the systematic collection and compilation of place names from non-Chinese language historical sources. Locations were designated in transliteration systems that are hardly comprehensible today, which makes it very difficult to find the actual locations they correspond to. This dataset allows for the conversion from these obsolete transliterations to the current names and geocoordinates.

From June 2021 onward, we have adopted a different file naming system to keep track of versions. From MCGD_Data_V1 we have moved to MCGD_Data_V2. In June 2022, we introduced time stamps, which result in the following naming convention: MCGD_Data_YYYY.MM.DD. 

 

UPDATES

MCGD_Data2024_03_23 includes an update on locations in Taiwan from the Asia Directories. Altogether there are 465,603 entries (of which 187 place names without geocoordinates, labelled in the Lat Long columns as "Unknown").

MCGD_Data2023.12.22 contains all the data that we have collected on locations in China, whatever the period. Altogether there are 465,603 entries (of which 187 place names without geocoordinates, labelled in the Lat Long columns as "Unknown"). The dataset also includes locations outside of China for the purpose of matching such locations to the place names extracted from historical sources. For example, one may need to locate individuals born outside of China. Rather than maintaining two separate files, we made the decision to incorporate all the place names found in historical sources in the gazetteer. Such place names can easily be removed by selecting all the entries where the 'Province' data is missing.