cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2024-01.3010766/2502667
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010767/2502668
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010768/2502669
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010769/2502670
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010770/2502671
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010772/2502672
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010776/2502673
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010777/2502674
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010778/2502675
title: Data for EMSL Project 51287 from January 2024
DOI: 10.6084/m9.figshare.28234874
title: The results resolved by precise point positioning time-frequency transfer

description: The results resolved by precise point positioning time-frequency transfercolumn 1: day of yearcolumn 2-7: receiver clock offset (s) of each system (GPS/GLONASS/Galileo/BDS2/BDS3), which means the time difference between station clock and reference clock of IGS time
DOI: 10.6084/m9.figshare.28234874.v1
title: The results resolved by precise point positioning time-frequency transfer

description: The results resolved by precise point positioning time-frequency transfercolumn 1: day of yearcolumn 2-7: receiver clock offset (s) of each system (GPS/GLONASS/Galileo/BDS2/BDS3), which means the time difference between station clock and reference clock of IGS time
DOI: 10.25582/data.2024-01.3010779/2502676
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010780/2502677
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010782/2502678
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010783/2502679
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010784/2502680
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010785/2502681
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010788/2502682
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010789/2502683
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010790/2502684
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010791/2502685
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010793/2502686
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010797/2502687
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010798/2502688
title: Data for EMSL Project 51287 from January 2024
DOI: 10.15468/dl.r3dcr3
title: Occurrence Download

description: A dataset containing 547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syagrus coronata (Mart.) Becc.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 547 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002208-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3010799/2502689
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010802/2502690
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010803/2502691
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010804/2502692
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010805/2502693
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010807/2502694
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3010811/2502695
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3008835/2502696
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008846/2502697
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008847/2502698
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008865/2502699
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008868/2502700
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008869/2502701
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008872/2502702
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008876/2502703
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008877/2502704
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008880/2502705
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008882/2502706
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008886/2502707
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008887/2502708
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008888/2502709
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008892/2502710
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008893/2502711
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008895/2502712
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008897/2502713
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008898/2502714
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008899/2502715
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008900/2502716
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008902/2502717
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008903/2502718
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008904/2502719
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008906/2502720
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008907/2502721
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008908/2502722
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008911/2502723
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008915/2502724
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008918/2502725
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008919/2502726
title: Data for EMSL Project 60052 from January 2024
DOI: 10.15468/dl.swkg5s
title: Occurrence Download

description: A dataset containing 3304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syagrus romanzoffiana (Cham.) Glassman",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3304 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002210-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3008920/2502727
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008921/2502728
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008925/2502729
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008932/2502730
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008942/2502731
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008943/2502732
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008944/2502733
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008945/2502734
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008946/2502735
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008947/2502736
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008948/2502737
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008953/2502738
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008956/2502739
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008957/2502740
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008958/2502741
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008967/2502742
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008972/2502743
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008985/2502744
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008997/2502745
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3009002/2502746
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3009005/2502747
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3009018/2502748
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010237/2502749
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010274/2502750
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010287/2502751
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010318/2502752
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010356/2502753
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010367/2502754
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010374/2502755
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010375/2502756
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010382/2502757
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010397/2502758
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010406/2502759
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010407/2502760
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010432/2502761
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010444/2502762
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010455/2502763
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010462/2502764
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010472/2502765
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010487/2502766
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010498/2502767
title: Data for EMSL Project 60052 from January 2024
DOI: 10.15468/dl.kxtg5r
title: Occurrence Download

description: A dataset containing 9597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa reticulata (Blume) H.Hara",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9597 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002213-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3010500/2502768
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010513/2502769
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010514/2502770
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3010550/2502771
title: Data for EMSL Project 60052 from January 2024
DOI: 10.25582/data.2024-01.3008852/2502772
title: Data for EMSL Project 51636 from January 2024
DOI: 10.25582/data.2024-01.3008854/2502773
title: Data for EMSL Project 48468 from January 2024
DOI: 10.25582/data.2024-01.3008855/2502774
title: Data for EMSL Project 48468 from January 2024
DOI: 10.25582/data.2024-01.3008857/2502775
title: Data for EMSL Project 48468 from January 2024
DOI: 10.25582/data.2024-01.3008861/2502776
title: Data for EMSL Project 48468 from January 2024
DOI: 10.25582/data.2024-01.3008863/2502777
title: Data for EMSL Project 48468 from January 2024
DOI: 10.25582/data.2024-01.3008866/2502778
title: Data for EMSL Project 48468 from January 2024
DOI: 10.15468/dl.zqese6
title: Occurrence Download

description: A dataset containing 131638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa vulgaris L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 131638 records from 911 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002220-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9seuahc
title: A GIS Compilation of Vector Shorelines and Shoreline Classification for Puerto Rico from 1970 and 2010

description: The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is useful to keep a record of historical shoreline positions as a method of monitoring change over time to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release and other associated products represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The United States Geological Survey (USGS) in cooperation with the Coastal Research and Planning Institute of Puerto Rico (CoRePI, part of the Graduate School of Planning at the University of Puerto Rico, Rio Piedras Campus) has derived and compiled a database of historical shoreline positions and recorded a detailed classification of the coast from aerial photo interpretations. These shoreline data are used in conjunction with other compiled shorelines provided in complementary data releases to calculate rates of shoreline change.
DOI: 10.15468/dl.swuqsq
title: Occurrence Download

description: A dataset containing 27072926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Zenaida macroura)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 27072926 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004595-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3e5aw
title: Occurrence Download

description: A dataset containing 2076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "TaxonKey is Lestes alacer"
 ]
}

 The dataset includes 2076 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004649-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17121978
title: Dataset for "Assessing a Domain-Adaptive Deployment Workflow for Selective Audio Recording in Wildlife Acoustic Monitoring"

description: This repository contains data used in the paper "Assessing a Domain-Adaptive Deployment Workflow for Selective Audio Recording in Wildlife Acoustic Monitoring", presented in DCASE2025.

Falklands dataset: 17 minutes of field recordings from a Gentoo penguin colony in Yorke Bay, Falkland Islands. Approximately 9.1 minutes contain identifiable penguin vocalizations. Metadata indicates wether each file has vocalizations. Recorded at 16 kHz using a custom device with a ICS-43434 microphone.

Antarctica dataset: 14 minutes of field recordings of Gentoo penguin vocalizations in Ardley Island, Antarctica, of which 6.5 minutes contain penguin vocalizations. Metadata indicates wether each file has vocalizations.  Recorded at 44.1 kHz using an AudioMoth.

Falklands continous dataset: 12 hours of uninterrupted audio recordings collected using at Yorke Bay. Metadata indicates the intervals that contain vocalizations. Recorded at 44.1 kHz using an AudioMoth.

The files in this repository are named indicating date of recording (YYYYMMDD_HHMMSS)
DOI: 10.5281/zenodo.17121977
title: Dataset for "Assessing a Domain-Adaptive Deployment Workflow for Selective Audio Recording in Wildlife Acoustic Monitoring"

description: This repository contains data used in the paper "Assessing a Domain-Adaptive Deployment Workflow for Selective Audio Recording in Wildlife Acoustic Monitoring", presented in DCASE2025.

Falklands dataset: 17 minutes of field recordings from a Gentoo penguin colony in Yorke Bay, Falkland Islands. Approximately 9.1 minutes contain identifiable penguin vocalizations. Metadata indicates wether each file has vocalizations. Recorded at 16 kHz using a custom device with a ICS-43434 microphone.

Antarctica dataset: 14 minutes of field recordings of Gentoo penguin vocalizations in Ardley Island, Antarctica, of which 6.5 minutes contain penguin vocalizations. Metadata indicates wether each file has vocalizations.  Recorded at 44.1 kHz using an AudioMoth.

Falklands continous dataset: 12 hours of uninterrupted audio recordings collected using at Yorke Bay. Metadata indicates the intervals that contain vocalizations. Recorded at 44.1 kHz using an AudioMoth.

The files in this repository are named indicating date of recording (YYYYMMDD_HHMMSS)
DOI: 10.15468/dl.c82d2h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Katamysis warpachowskyi",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004651-250914085247600/datasets/export for details.
DOI: 10.15468/dl.yp28uq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Katamysis warpachowskyi",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004650-250914085247600/datasets/export for details.
DOI: 10.15468/dl.z8bxd9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Katamysis warpachowskyi",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004652-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7wme7
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Zenaida macroura)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004654-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3awxc
title: Occurrence Download

description: A dataset containing 7457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "TaxonKey is Libellula croceipennis"
 ]
}

 The dataset includes 7457 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004653-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26093/cds/vizier.36010112
title: GES iDR4 Mg-Al anticorrelation in GCs

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' The Gaia-ESO Survey. Mg-Al anti-correlation in iDR4 globular clusters.' (bibcode: 2017A&A...601A.112P)
DOI: 10.15468/dl.c8n7kg
title: Occurrence Download

description: A dataset containing 19318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "TaxonKey is Libellula saturata"
 ]
}

 The dataset includes 19318 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004655-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26093/cds/vizier.36920150
title: Exoplanet yields around FGK stars

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Exoplanets across galactic stellar populations with PLATO estimating exoplanet yields around FGK stars for the thin disk, thick disk, and stellar halo.' (bibcode: 2024A&A...692A.150B)
DOI: 10.15468/dl.cqksgn
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnomysis benedeni",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 87 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004658-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.