cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uv79q3
title: Occurrence Download

description: A dataset containing 985807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-50.86807 -73.75619, -50.96318 -59.05359, -76.65906 -59.05359, -76.75417 -74.13663, -50.86807 -73.75619))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 985807 records from 752 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002204-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18310842
title: Setaria liebmannii f. trichorhachis Hack. 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 16:54
DOI: 10.5281/zenodo.18310843
title: Setaria liebmannii f. trichorhachis Hack. 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 16:54
DOI: 10.15468/dl.q8xe3w
title: Occurrence Download

description: A dataset containing 3293 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is AIMS Long-term Monitoring Program: Crown-of-thorns starfish and benthos Manta Tow Data, Great Barrier Reef, Australia (1983 - present)"
 ]
}

 The dataset includes 3293 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002327-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8eybr
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((150.213 -5.139855, 150.142455 -5.145418, 150.073643 -5.161969, 150.008255 -5.189101, 149.947899 -5.226149, 149.894059 -5.272201, 149.84806 -5.326125, 149.811035 -5.386595, 149.783898 -5.452125, 149.767318 -5.521101, 149.761709 -5.591826, 149.767211 -5.66256, 149.783694 -5.731561, 149.810755 -5.797128, 149.847731 -5.857646, 149.893712 -5.911622, 149.947569 -5.957727, 150.007975 -5.994822, 150.073439 -6.021992, 150.142348 -6.038567, 150.213 -6.044138, 150.283652 -6.038567, 150.352561 -6.021992, 150.418025 -5.994822, 150.478431 -5.957727, 150.532288 -5.911622, 150.578269 -5.857646, 150.615245 -5.797128, 150.642306 -5.731561, 150.658789 -5.66256, 150.664291 -5.591826, 150.658682 -5.521101, 150.642102 -5.452125, 150.614965 -5.386595, 150.57794 -5.326125, 150.531941 -5.272201, 150.478101 -5.226149, 150.417745 -5.189101, 150.352357 -5.161969, 150.283545 -5.145418, 150.213 -5.139855))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002328-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18310849
title: Setaria liebmannii E.Fourn. 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 16:54
DOI: 10.5281/zenodo.18310848
title: Setaria liebmannii E.Fourn. 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 16:54
DOI: 10.5281/zenodo.18310854
title: Setaria pampeana Parodi ex Nicora. 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 16:54
DOI: 10.5281/zenodo.18310855
title: Setaria pampeana Parodi ex Nicora. 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 16:54
DOI: 10.15468/dl.7af46x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.98 -1.67182, 110.909707 -1.677386, 110.841144 -1.693946, 110.775997 -1.721092, 110.71587 -1.758158, 110.662243 -1.80423, 110.616435 -1.858174, 110.579575 -1.918664, 110.552572 -1.984211, 110.536089 -2.0532, 110.530536 -2.123934, 110.536049 -2.194671, 110.552495 -2.26367, 110.57947 -2.329231, 110.616311 -2.389739, 110.662112 -2.443703, 110.715746 -2.489795, 110.775891 -2.526878, 110.841067 -2.554039, 110.909667 -2.570608, 110.98 -2.576177, 111.050333 -2.570608, 111.118933 -2.554039, 111.184109 -2.526878, 111.244254 -2.489795, 111.297888 -2.443703, 111.343689 -2.389739, 111.38053 -2.329231, 111.407505 -2.26367, 111.423951 -2.194671, 111.429464 -2.123934, 111.423911 -2.0532, 111.407428 -1.984211, 111.380425 -1.918664, 111.343565 -1.858174, 111.297757 -1.80423, 111.24413 -1.758158, 111.184003 -1.721092, 111.118856 -1.693946, 111.050293 -1.677386, 110.98 -1.67182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002330-260119153935675/datasets/export for details.
DOI: 10.15468/dl.xk39wf
title: Occurrence Download

description: A dataset containing 11687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taraxacum",
 "Year 2010-2025"
 ]
}

 The dataset includes 11687 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002329-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzkw2s
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stellaria palustris, Stellaria palustris, Stellaria palustris, Stellaria palustris, Stellaria palustris, Stellaria glauca, Stellaria glauca, Stellaria glauca, Stellaria glauca, Stellaria glauca, Stellaria glauca, Stellaria glauca)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 93 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002331-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2muzx
title: Occurrence Download

description: A dataset containing 716885 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Populus tremula"
 ]
}

 The dataset includes 716885 records from 2697 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002203-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2n5ct7
title: Occurrence Download

description: A dataset containing 18138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is one of (United States of America, Mexico, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (June, July, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 2024-2024"
 ]
}

 The dataset includes 18138 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009009-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uac7t
title: Occurrence Download

description: A dataset containing 40288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterostichus melanarius (Illiger, 1798)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40288 records from 410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009005-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/njnzpd
title: Wright Files I-Z Edited; Docketed Case: 72-1445
DOI: 10.7910/dvn/zzrzv5
title: Mapeamento das hortas urbanas e periurbanas em Tramandaí - Rio Grande do Sul - 2019

description: &lt;p&gt;Em 2019, durante a primeira etapa do &lt;a href="https://www.ufrgs.br/agriurb/"&gt;Projeto Agriurb da Universidade Federal do Rio Grando do Sul&lt;/a&gt;, os bolsistas Renan Teixeira Luiz e Hector Cardoso do Amaral realizaram o mapeamento das hortas de Tramandaí, sob supervisão dos professores Ricardo de Sampaio Dagnino e Rejane Kalsing.&lt;/p&gt; 

&lt;p&gt; Para isso foi desenvolvido um trabalho de campo onde os bolsistas percorreram o município aplicando entrevistas com indivíduos que cultivam hortas urbanas. Ao todo foram aplicadas 20 entrevistas com agricultores urbanos do município no período entre os meses de maio e agosto de 2019. Durante o processo também foram identificadas, embora não entrevistadas, 4 hortas escolares e 9 agricultores periurbanos.&lt;/p&gt; 

&lt;p&gt;O trabalho de mapeamento foi apresentado em evento e está publicado em: LUIZ, R.; AMARAL, H.; DAGNINO, R.; KALSING, R. Projeto Hortas Urbanas e Periurbanas do Município de Tramandaí. Osório, Rio Grande do Sul: Anais da 9ª MoExP – Mostra de Ensino, Extensão e Pesquisa do Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul – Campus Osório; 2019. &lt;a href="www.tinyurl.com/ydnv2hos/"&gt;www.tinyurl.com/ydnv2hos/&lt;/a&gt;.&lt;/p&gt;
DOI: 10.7910/dvn/xk6guc
title: Replication Data for: A Comparison of Smartphone and Infrasound Microphone Data from a Fuel Air Explosive and a High Explosive

description: Explosion data from a Fuel Air Explosive (Thermobaric Bomb) and a high explosive collected on an infrasound microphone and a smartphone sensor network. &lt;br&gt;&lt;br&gt;

The infrasound microphone data are in units of Pascals and the smartphone microphone data are in units of bits (Garcés, 2020; Garcés, 2023). Both data have not been corrected for local weather effects (Sachs, 1944).&lt;br&gt;&lt;br&gt;

The data is available as a pandas DataFrame, a collection of SAC files, and a collection of miniSEED files for greater usability. However, the pandas DataFrame is recommended as all the information is consolidated. Supplementary information on the sensors for miniSEED and SAC is available in CSV format. &lt;br&gt;&lt;br&gt;

channel name convention for miniSEED and SAC: &lt;br&gt;
GDF: microphone &lt;br&gt;
SDO: barometer &lt;br&gt;
ABT: barometer time &lt;br&gt;
DN1*: accelerometer (x-axis, towards the right of phone when looking at the screen in vertical orientation) &lt;br&gt;
DN2*: accelerometer (y-axis, towards the top of phone when looking at the screen in vertical orientation) &lt;br&gt;
DNZ*: accelerometer (z-axis, perpendicular to the phone when looking at the screen in vertical orientation) &lt;br&gt;
AAT: accelerometer time &lt;br&gt;
*the phones were laying flat on ground however were not oriented towards North or East.

&lt;br&gt;&lt;br&gt;
References:&lt;br&gt;
Sachs, R. G. (1944), The dependence of blast on ambient pressure and temperature, Tech. rep., DTIC Document.&lt;br&gt;
Garcés, M. A. (2020). Quantized Constant-Q Gabor Atoms for Sparse Binary Representations of Cyber-Physical Signatures. Entropy, 22(9), 936. https://doi.org/10.3390/e22090936&lt;br&gt;
Garcés, M. A., (2023) Quantized Information in Spectral Cyberspace. Entropy. 25(3), 419. https://doi.org/10.3390/e25030419&lt;br&gt;
DOI: 10.7910/dvn/aupff
title: Passed Resolves; Resolves 1847, c.103, SC1/series 228, Petition of L.D. Nickerson

description: &lt;p&gt;Petition subject: Peace with Mexico &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:10670606"&gt;http://nrs.harvard.edu/urn-3:FHCL:10670606&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Harwich &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Cyrus Weeks, Harwich; committee on the war with Mexico &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;L.D. Nickerson&lt;/li&gt;&lt;li&gt;Caleb Small&lt;/li&gt;&lt;li&gt;Elisha Parker&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1847-02-11,1847-02-12 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 11, 1847 and referred to the committee on the war with Mexico and received in the Senate on February 12, 1847 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 66 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, received, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 66 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, ["legal voters"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Resolves 1847, c.103, passed April 26, 1847 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.5281/zenodo.15557903
title: Land-Use Harmonization 2 for Global Carbon Budget 2025 (LUH2-GCB2025)

description: The Land-Use Harmonization 2 (LUH2) dataset is updated every year for use in the annual Global Carbon Budget (GCB) simulations and publications. The LUH2-GCB2025 dataset represents the land-use data used by DGVMs and book-keeping models in the GCB 2025. It is extended to the current year using new input data from FAO and other sources, and extends historical trends for years without underlying input data. In particular, it incorporates new HYDE land-use data as a key input, continues to provide improved representation of deforestation in Brazil and Indonesia by using the latest versions of MapBiomas remote sensing data, and it improves cropland areas in China using data from Yu et al. 2022. 

For more information, see:

Chini et al. 2021, "Land-use harmonization datasets for annual global carbon budgets", Earth System Science Data, https://doi.org/10.5194/essd-13-4175-2021

Hurtt et al. 2020, "Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6", Geoscientific Model Development, https://doi.org/10.5194/gmd-13-5425-2020
DOI: 10.5281/zenodo.15557904
title: Land-Use Harmonization 2 for Global Carbon Budget 2025 (LUH2-GCB2025)

description: The Land-Use Harmonization 2 (LUH2) dataset is updated every year for use in the annual Global Carbon Budget (GCB) simulations and publications. The LUH2-GCB2025 dataset represents the land-use data used by DGVMs and book-keeping models in the GCB 2025. It is extended to the current year using new input data from FAO and other sources, and extends historical trends for years without underlying input data. In particular, it incorporates new HYDE land-use data as a key input, continues to provide improved representation of deforestation in Brazil and Indonesia by using the latest versions of MapBiomas remote sensing data, and it improves cropland areas in China using data from Yu et al. 2022. 

For more information, see:

Chini et al. 2021, "Land-use harmonization datasets for annual global carbon budgets", Earth System Science Data, https://doi.org/10.5194/essd-13-4175-2021

Hurtt et al. 2020, "Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6", Geoscientific Model Development, https://doi.org/10.5194/gmd-13-5425-2020
DOI: 10.7910/dvn/nkjfna
title: SAS dataset: surveyrecode

description: One of four dataset to replicate numbers for tables and figures in the article "Mammography screening: eliciting the voices of informed citizens" by Manja D. Jensen, Kasper M. Hansen, Volkert Siersma, and John Brodersen
DOI: 10.7910/dvn/nn0oxe
title: Replication Data for Evaluating Claims of Intersectionality

description: Data, do-files, and log-files to replicate the results reported in the paper.
DOI: 10.7910/dvn/atx7sb
title: rf_polysomnography_respiration_data_16

description: This dataset contains the raw RF measurements, polysomnography, and patient data gathered during day 16 of a 20-day study. All patient data has been anonymized.
&lt;br&gt;&lt;br&gt;
We are pleased to have other researchers make use of this data for their own algorithm development and understanding of respiratory monitoring with RF devices. We ask that you cite the following article if you make use of this data in your research.
&lt;br&gt;&lt;br&gt;
&lt;blockquote&gt;
P. Hillyard, A. Luong, A. S. Abrar, N. Patwari, K. Sundar, R. Farney, J. Burch, C. A. Porucznik, and S. H. Pollard. “Experience: Cross-Technology Radio Respiratory Monitoring Performance Study”. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom 2018), New Delhi, India, to appear, 29 Oct. 2018. &lt;/blockquote&gt;
&lt;br&gt;&lt;br&gt;
Links to all 20 days of data:
&lt;br&gt;&lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/X7AYXQ"&gt;Dataset for day00&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/LFXTTU"&gt;Dataset for day01&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/XYKQKM"&gt;Dataset for day02&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/8B9XUH"&gt;Dataset for day03&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/NWBCOX"&gt;Dataset for day04&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/FPAL1E"&gt;Dataset for day05&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/FATPSG"&gt;Dataset for day06&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/663ZBN"&gt;Dataset for day07&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/BIISSK"&gt;Dataset for day08&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/0NTCW4"&gt;Dataset for day09&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/4WXAPS"&gt;Dataset for day10&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/6PYP1T"&gt;Dataset for day11&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/TUXIHV"&gt;Dataset for day12&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/RB51U7"&gt;Dataset for day13&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/ESBCCX"&gt;Dataset for day14&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/HFCNV8"&gt;Dataset for day15&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/ATX7SB"&gt;Dataset for day16&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/WE0BMU"&gt;Dataset for day17&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/H5MYRD"&gt;Dataset for day18&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/3JJMQR"&gt;Dataset for day19&lt;/a&gt;
DOI: 10.15468/dl.mzf4hz
title: Occurrence Download

description: A dataset containing 6048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is Chinese Institute of Biology - Chinese Academy of Sciences",
 "GadmGid is CHN.8_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6048 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015351-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/mqrc4x
title: Encuesta de medición de calidad de vida y bienestar subjetivo del Territorio de Sierra Norte - México

description: El Programa de Investigación, Incidencia y Desarrollo de Capacidades “Territorios en Diálogo. Inclusión y Bienestar Rural”, es una iniciativa de Rimisp – Centro Latinoamericano para el Desarrollo Rural. Este programa es posible gracias a la contribución de dos proyectos principales: 1) el proyecto Promoción de Coaliciones Locales Transformadoras para una agenda de desarrollo territorial inclusivo en Latinoamérica (2019-2022), que cuenta con el apoyo financiero del International Development Research Center (IDRC-Canadá) y que se propone promover cambios en las condiciones de vida de aquellos grupos persistentemente excluidos; 2) el apoyo proporcionado por la Fundación Ford para el fortalecimiento institucional de Rimisp (2018-2023), en cuyo marco trabajamos por promover nuevos arreglos institucionales, para la gestión de conflictos socio-territoriales, incorporando a los actores tradicionalmente excluidos, cuyo bienestar y calidad de vida se ve afectada por estos conflictos. La Encuesta de medición de calidad de vida y bienestar subjetivo se enmarca en dicho programa y tiene por objetivo recopilar características de los territorios de estudios en los siguientes ámbitos: Bienestar y calidad de vida, trabajo y sistema alimentario, servicios básicos e infraestructura, igualdad de género, cohesión social y medioambiente.
DOI: 10.15468/dl.mhfwq5
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((16.6 -35.5,34.1 -35.5,34.1 -13.6,16.6 -13.6,16.6 -35.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysomya megacephala (Fabricius, 1794)",
 "Year 1970-2024"
 ]
}

 The dataset includes 53 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011657-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.