cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h2u44m
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000037-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dprup
title: Occurrence Download

description: A dataset listing the 0 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is German Wikipedia - Species Pages"
 ]
}

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003014-260119153935675/datasets/export for details.
DOI: 10.15468/dl.ckdvzs
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000036-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mc5ywb
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000034-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82522/1dms-hk61
title: Hyperspectral reflectance - Oaks (Q. robur) project FlyForSIF

description: Two flight surveys were carried out over the temperate deciduous forest of Bosco Fontana in Marmirolo, Italy, using a pushbroom hyperspectral imaging camera (Nano-Hyperspec®, Headwall Photonics, Bolton, USA), which was mounted on a Matrice 600 Pro drone (DJI, Shenzhen, China).

description: The flights were performed at an altitude of 120 m AGL, with a cruising speed of 5–6 m/s and a 50% lateral overlap of the flight lines. The radiance data were converted to at-surface reflectance using standard reference tarps surveyed at the end of each flight. The reflectance flight lines were then mosaiced into data cubes featuring 204 spectral bands at an average sampling interval of 2.2 nm (450–900 nm) and were finally resampled at a nominal pixel size of 6 cm across two blocks: i) Block 1 (Piazza del Morto, south): 14 flight lines (12:22–12:35 CET), covering an area of 2.7 ha; and ii) Block 2 (Piazza Duello, north): 5 flight lines (11:40–11:46 CET), covering an area of 3.5 ha.
DOI: 10.7910/dvn/ataq8m
title: Dataset for Agricultural production diversity and market participation can absorb the impact of shocks on household food security

description: This dataset contains the derived variables used in the analysis of household food security, agricultural production diversity, market participation, and exposure to shocks. The variables were extracted and constructed from the Household Income and Expenditure Survey (HIES 2022), conducted by the Bangladesh Bureau of Statistics (BBS).
Due to licensing restrictions, the full HIES 2022 microdata cannot be shared publicly. Instead, this dataset provides the processed variables that were directly employed in the statistical analyses reported in the associated manuscript. These include measures of household food (in)security, agricultural production diversity indices, market participation indicators, and shock classifications (covariate, idiosyncratic, and joint).
Researchers wishing to replicate or extend the study can use this dataset. Access to the original HIES 2022 dataset requires purchase or authorization from BBS.
DOI: 10.5281/zenodo.18316245
title: Trixis ochroleuca var. thrincioides (Griseb.) Kuntze. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18316246
title: Trixis ochroleuca var. thrincioides (Griseb.) Kuntze. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.15468/dl.htdjxg
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000044-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5e3gze
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000043-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y56hxg
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum oligocystum"
 ]
}

 The dataset includes 162 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000041-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8r3mw
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000046-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmas9c
title: Occurrence Download

description: A dataset containing 1595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ramphastidae"
 ]
}

 The dataset includes 1595 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000047-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.davk5d
title: Occurrence Download

description: A dataset containing 160999 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "DatasetKey is one of (NABU|naturgucker, Flora von Deutschland (Phanerogamen), VegetWeb - Repositorium von Vegetationsaufnahmen, Insekten Sachsen, iNaturalist Research-grade Observations, Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Observation.org, Nature data from around the World, EOD – eBird Observation Dataset, The Spider Collection at the Staatliches Museum für Naturkunde Karlsruhe, Neuropteren Deutschlands (Neuropterida of Germany), ArtenFinder, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Historical Vertebrate Distributions in Bavaria 1845, Biodiversity data of gravel pit lakes in Northern Germany, Found Animal Survey Germany, Tierfund-Kataster Deutschland (TFK-D))",
 "PublishingOrg is one of (57254bd0-8256-11d8-b7ed-b8a03c50a862, 0674aea0-a7e1-11d8-9534-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862, 99ea0c90-61e5-11dc-a64c-b8a03c50a862, 463555b0-d081-11da-ae8f-b8a03c50a862, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, 48490260-8fc0-11dd-be72-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb)",
 "NetworkKey is one of (d1627240-04ab-4162-aee9-b16df6bc8308, 3aee7756-565e-4dc5-b22c-f997fbd7105c)"
 ]
 },
 "Country is Germany",
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Bombus [GBIF Backbone Taxonomy])",
 "MediaType is one of (Image)"
 ]
 }
 ]
}

 The dataset includes 160999 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002946-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15564548
title: New correlated-k tables and continua for CO2+H2O+N2 gas mixtures

description: The following data corresponds to correlated-k tables (1), continua (2) and CIA (3) provided by Chaverot et al. (2025). Please refer to the article for additional information. 

1) Correlated-k tables

We provide a total of 8 new correlated-k for various gas mixtures, based on the HITRAN 2020 database for H2O and CO2 linelists. The tables are given at a relatively high resolution (R=500), and in the Exo_k format (see here) to allow users to convert them to their favorite format. 

For each table, the absorption has been calculated from 10cm-1 to 30'000cm-1 with spectral steps equal to 0.001cm-1. For H2O+N2+CO2 gas mixtures, the CO2 content as been fixed as a fraction of the N2 pressure (376ppm, 1000ppm, 2000ppm, 0.1, 0.5, or 0.75). In these cases, the volume mixing ratio (vmr grid) corresponds to the water pressure divided by the total pressure (H2O+N2+CO2). For the CO2+N2 table, the vmr corresponds to the CO2 pressure divided by the total pressure. For the H2O+CO2 table, the vmr corresponds to the H2O pressure divided by the total pressure. 

For correlated-k of H2O+N2+CO2 gas mixtures, the pressure, temperature and vmr grids are the following:



Pressure grid (Pascal): [1, 10, 1e3, 1e4, 1e5, 1e6, 1e7]

Temperature grid (Kelvin): [50, 110, 170, 230, 290, 350, 410, 470, 530, 590, 650, 1000]

Volume mixing ratio (vmr) grid: [1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 0.1, 1]


For correlated-k of H2O+CO2 and CO2+N2 gas mixtures, the pressure, temperature and vmr grids are the following:



Pressure grid (Pascal): [1, 10, 1e3, 1e4, 1e5, 1e6, 1e7, 1e8]

Temperature grid (Kelvin): [30, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 600, 800, 1000, 1500, 2000]

Volume mixing ratio (vmr) grid: [1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 0.1, 0.9, 1]


2) Continua

For the three considered mixtures, continua are calculated using linelist from HITRAN up to 400K and HITEMP 2024 beyond. They are provided in ascii format, with lines corresponding to each wavenumber and columns to the temperatures. Absorptions are given in cm−1.amagat−2. 



continuum_CO2-CO2.dat (pure CO2)

continuum_CO2-N2.dat (CO2 broadened by N2)

continuum_CO2-H2O.dat (CO2 broadened by H2O)


Temperature grid (Kelvin): [30, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 900, 1000, 1200, 1500, 1800, 2100, 2500, 3000]

 

Alternative continua based on HITRAN only are provided (named continuum_X_HITRAN.dat) with the following temperature grid:

Temperature grid HITRAN (Kelvin): [30, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 800, 1000]

 

3) Collision Induced Absorption (CIA) & dimer

Existing CIAs, dimers and continua collected from the literature are given in the CIA directory, at the same ascii format than the continua. Please refer to Sect. 3 in Chaverot et al. (2025) for a completed description. The wavenumber interval and the temperature grid is different for each data. Absorptions are given in cm−1.amagat−2.
DOI: 10.5281/zenodo.16795590
title: New correlated-k tables and continua for CO2+H2O+N2 gas mixtures

description: The following data corresponds to correlated-k tables (1), continua (2) and CIA (3) provided by Chaverot et al. (2025). Please refer to the article for additional information. 

1) Correlated-k tables

We provide a total of 8 new correlated-k for various gas mixtures, based on the HITRAN 2020 database for H2O and CO2 linelists. The tables are given at a relatively high resolution (R=500), and in the Exo_k format (see here) to allow users to convert them to their favorite format. 

For each table, the absorption has been calculated from 10cm-1 to 30'000cm-1 with spectral steps equal to 0.001cm-1. For H2O+N2+CO2 gas mixtures, the CO2 content as been fixed as a fraction of the N2 pressure (376ppm, 1000ppm, 2000ppm, 0.1, 0.5, or 0.75). In these cases, the volume mixing ratio (vmr grid) corresponds to the water pressure divided by the total pressure (H2O+N2+CO2). For the CO2+N2 table, the vmr corresponds to the CO2 pressure divided by the total pressure. For the H2O+CO2 table, the vmr corresponds to the H2O pressure divided by the total pressure. 

For correlated-k of H2O+N2+CO2 gas mixtures, the pressure, temperature and vmr grids are the following:



Pressure grid (Pascal): [1, 10, 1e3, 1e4, 1e5, 1e6, 1e7]

Temperature grid (Kelvin): [50, 110, 170, 230, 290, 350, 410, 470, 530, 590, 650, 1000]

Volume mixing ratio (vmr) grid: [1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 0.1, 1]


For correlated-k of H2O+CO2 and CO2+N2 gas mixtures, the pressure, temperature and vmr grids are the following:



Pressure grid (Pascal): [1, 10, 1e3, 1e4, 1e5, 1e6, 1e7, 1e8]

Temperature grid (Kelvin): [30, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 600, 800, 1000, 1500, 2000]

Volume mixing ratio (vmr) grid: [1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 0.1, 0.9, 1]


2) Continua

For the three considered mixtures, continua are calculated using linelist from HITRAN up to 400K and HITEMP 2024 beyond. They are provided in ascii format, with lines corresponding to each wavenumber and columns to the temperatures. Absorptions are given in cm−1.amagat−2. 



continuum_CO2-CO2.dat (pure CO2)

continuum_CO2-N2.dat (CO2 broadened by N2)

continuum_CO2-H2O.dat (CO2 broadened by H2O)


Temperature grid (Kelvin): [30, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 900, 1000, 1200, 1500, 1800, 2100, 2500, 3000]

 

Alternative continua based on HITRAN only are provided (named continuum_X_HITRAN.dat) with the following temperature grid:

Temperature grid HITRAN (Kelvin): [30, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 800, 1000]

 

3) Collision Induced Absorption (CIA) & dimer

Existing CIAs, dimers and continua collected from the literature are given in the CIA directory, at the same ascii format than the continua. Please refer to Sect. 3 in Chaverot et al. (2025) for a completed description. The wavenumber interval and the temperature grid is different for each data. Absorptions are given in cm−1.amagat−2.
DOI: 10.7916/hadt-2392
title:  Evaluating a Community-Based Intervention to Advance Food Equity and Climate Resilience in the South Bronx: Findings from the LEAF Program
DOI: 10.7910/dvn/vnoqyr
title: Replication Data for: Name-Based Race Discrimination: The Role of Heuristics

description: “Review of Economics and Statistics: Forthcoming
DOI: 10.15468/dl.byavsm
title: Occurrence Download

description: A dataset listing the 91 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-105.8138 16.98789,-89.07821 13.30857,-84.27216 22.14099,-93.39568 23.91501,-95.5076 28.22333,-107.58782 32.0248,-117.63144 33.07619,-121.09768 31.99273,-105.8138 16.98789))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mycena"
 ]
}

 The dataset's 91 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003007-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktmx4x
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophryacus undulatus"
 ]
}

 The dataset includes 93 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000049-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45uuxv
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000050-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25505/fiz.icsd.cc2dkb1c
title: CSD 2221182: Experimental Crystal Structure Determination

description: Related Article: Ni Zhen, Run-Han Li, Binghui Xue, Jingjing Liu, Shan Xu, Chao Zhang, Peng Lei, Jing Dong, Yingnan Chi, Panchao Yin, Ya-Qian Lan, Changwen Hu|2026|Inorg.Chem.Front.|||doi:10.1039/D5QI02031J
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2dk6fm
title: CSD 2221070: Experimental Crystal Structure Determination

description: Related Article: Ni Zhen, Run-Han Li, Binghui Xue, Jingjing Liu, Shan Xu, Chao Zhang, Peng Lei, Jing Dong, Yingnan Chi, Panchao Yin, Ya-Qian Lan, Changwen Hu|2026|Inorg.Chem.Front.|||doi:10.1039/D5QI02031J
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18316266
title: Trifolium polymorphum Poir. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18316267
title: Trifolium polymorphum Poir. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.vndxq3
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000052-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26071/46dd9824-ee01-4045
title: Nain Bay Zooplankton Collection (2024)
title: Collection de zooplancton de la baie de Nain (2024)

description: This dataset shows spatial zooplankton identification and concentration (ind./m3), collected in February 2024 under coastal sea ice at 5 stations along a transect in Nain Bay, Nunatsiavut. Environmental measurements of ice thickness (cm), snow cover thickness (cm), both air and surface water temperature (°c) and surface salinity (PSU) were additionally collected.
We wish to acknowledge with respect that this research is undertaken with permission from the Nunatsiavut Government (NGRAC-14840996), and as part of the Sustainable Nunatsiavut Futures project, on Labrador Inuit Lands.
description: Ce jeu de données montre l'identification spatiale et la concentration du zooplancton (ind. /m3), recueillies en février 2024 sous la glace de mer côtière à 5 stations le long d'un transect dans la baie de Nain, au Nunatsiavut. Des mesures environnementales de l'épaisseur de la glace (cm), de l'épaisseur de la couverture neigeuse (cm), de la température de l'air et de l'eau de surface (°C) et de la salinité de surface (PSU) ont également été collectées.

Nous souhaitons exprimer notre reconnaissance et notre respect, en précisant que cette recherche est menée avec l’autorisation du gouvernement de Nunatsiavut (NGRAC-14840996) et dans le cadre du projet « Sustainable Nunatsiavut Futures », sur les terres inuites du Labrador.
DOI: 10.15468/dl.x5zpkm
title: Occurrence Download

description: A dataset containing 3637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 3637 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000051-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5chsaa
title: Occurrence Download

description: A dataset containing 2936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2936 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000055-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqp4rd
title: Occurrence Download

description: A dataset containing 2947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Matelea"
 ]
}

 The dataset includes 2947 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000054-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.