cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xaqw3z
title: Occurrence Download

description: A dataset containing 6536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is United States of America",
 "Geometry POLYGON((-103.86767 48.88731,-103.85104 47.83973,-103.86767 43.71591,-103.85104 42.60182,-102.58729 42.55193,-102.71 36.52972,-95.79342 36.60253,-90.31872 36.47934,-89.44851 36.39375,-90.0762 35.39515,-88.35005 35.20969,-88.50797 32.85742,-88.63557 30.3055,-79.64526 23.96568,-75.51133 27.90276,-69.60571 37.02367,-67.0466 43.45423,-66.292 45.09468,-67.30908 47.52255,-70.16346 47.26008,-76.75807 45.98052,-85.51808 47.45693,-91.16122 49.39266,-102.54595 49.81918,-103.86767 48.88731))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Coordinate reprojected, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "TaxonKey is Elymus hystrix"
 ]
}

 The dataset includes 6536 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019405-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18295762
title: Piper mikanianum (Kunth) Steud. 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 16:52
DOI: 10.5281/zenodo.18295763
title: Piper mikanianum (Kunth) Steud. 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 16:52
DOI: 10.15468/dl.sysyhz
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Central Siberian Botanical Garden Herbarium (NS, NSK)",
 "TaxonKey is Salix"
 ]
}

 The dataset includes 316 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019407-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdutjr
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platypus quercivorus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 86 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019406-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18295731
title: Supplementary data for improved mechanistic modeling of global vegetation-mediated mercury deposition

description: Data sets of the spatial distribution of Hg0 dry deposition fluxes simulated by the improved mechanistic schemes in the GEOS-Chem model
DOI: 10.5281/zenodo.18295732
title: Supplementary data for improved mechanistic modeling of global vegetation-mediated mercury deposition

description: Data sets of the spatial distribution of Hg0 dry deposition fluxes simulated by the improved mechanistic schemes in the GEOS-Chem model
DOI: 10.5281/zenodo.18295765
title: Piper reflexum L.f. 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 16:52
DOI: 10.5281/zenodo.18295766
title: Piper reflexum L.f. 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 16:52
DOI: 10.5281/zenodo.18295501
title: Microplastics of surface waters of Colombian Caribbean
title: Microplásticos de aguas superficiales del Caribe colombiano

description: In some regions of the world, such as Colombian Caribbean microplastic pollution remains understudied. Therefore microplastics (MP) of surface waters of two sectors influenced by te Magdalena and Sinú rivers were sampled, quantified and characterized as well as the microbe assemblage associated with these particles. Water samples collected during the 2022 dry and rainy season were wet sieved through two mesh sizes (0.3 mm and 1.4 mm) and manually extract the plastic particles. The microplastics extracted were classified by size (0.3 mm to <1.4 mm and 1.4 mm to 5 mm), shape (fibers, films, fragments, foams). The identification and quantification of the particles were carried out using a stereoscope.  Concentration of MP are reported in number of particles per volume unit of filtered water (MP/m3). Each individual piece was extracted with stainless steel fine-tip tweezers and then stored in 1.5 mL microcentrifuge tubes for the metagenomic and FTIR spectrometry analysis.

To compare the microbial assemblage of the microplastics with indigenous marine microbes, 3 L of surface seawater samples were collected at each station and stored until further processing. Seawater and microplastic samples were kept refrigerated on ice until further processing. The seawater samples of each locality (9 L) were integrated and 825 mL of them were filtered through 0.22 μm polycarbonate filters (SUPOR) and frozen at – 80 ◦C until DNA extraction along with microplastic samples which was performed by "Centro Nacional de Secuenciación Genómica" in Colombia.
DOI: 10.5281/zenodo.18295502
title: Microplastics of surface waters of Colombian Caribbean
title: Microplásticos de aguas superficiales del Caribe colombiano

description: In some regions of the world, such as Colombian Caribbean microplastic pollution remains understudied. Therefore microplastics (MP) of surface waters of two sectors influenced by te Magdalena and Sinú rivers were sampled, quantified and characterized as well as the microbe assemblage associated with these particles. Water samples collected during the 2022 dry and rainy season were wet sieved through two mesh sizes (0.3 mm and 1.4 mm) and manually extract the plastic particles. The microplastics extracted were classified by size (0.3 mm to <1.4 mm and 1.4 mm to 5 mm), shape (fibers, films, fragments, foams). The identification and quantification of the particles were carried out using a stereoscope.  Concentration of MP are reported in number of particles per volume unit of filtered water (MP/m3). Each individual piece was extracted with stainless steel fine-tip tweezers and then stored in 1.5 mL microcentrifuge tubes for the metagenomic and FTIR spectrometry analysis.

To compare the microbial assemblage of the microplastics with indigenous marine microbes, 3 L of surface seawater samples were collected at each station and stored until further processing. Seawater and microplastic samples were kept refrigerated on ice until further processing. The seawater samples of each locality (9 L) were integrated and 825 mL of them were filtered through 0.22 μm polycarbonate filters (SUPOR) and frozen at – 80 ◦C until DNA extraction along with microplastic samples which was performed by "Centro Nacional de Secuenciación Genómica" in Colombia.
DOI: 10.15468/dl.gnfx28
title: Occurrence Download

description: A dataset containing 8820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , Martes flavigula, , , , , , , , , , , , , , , Martes gwatkinsii, , , , , , , , , Mustela sibirica, , , , , , Galidictis chrysogaster, , , , , Mustela flavigula, Charronia melli, , , , , , , , Charronia yuenshanensis, Mustela lasiotis, Martes chrysospila, Viverra aterrima, , Mustela leucotis, , , , , , , , , , , Mustela henrici, , , , , , , , , , , Lamprogale flavigula, , , , , , Mustela melina, , , , Mustela hardwickei, Charronia flavigula, Viverra quadricolor, , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8820 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019408-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/cgr4u6
title: Review of Dactylosternum Wollaston, 1854 from China and Japan (Coleoptera, Hydrophilidae, Sphaeridiinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mai, Zuqi, Hu, Jian, Minoshima, Yûsuke N., Jia, Fenglong, Fikáček, Martin (2022): Review of Dactylosternum Wollaston, 1854 from China and Japan (Coleoptera, Hydrophilidae, Sphaeridiinae). Zootaxa 5091 (2): 269-300, DOI: 10.11646/zootaxa.5091.2.3AbstractThe species of the genus Dactylosternum Wollaston, 1854 occurring in China and Japan are reviewed. Ten species are recognized to occur in China, two of which were also recorded from Japan. Four new species are described from China: Dactylosternum nanlingensis Mai et Jia, sp. nov. (Guangdong, Jiangxi) from fungal hyphae on fallen wood, D. songxiaobini Mai et Jia, sp. nov. (Guangxi) from fallen wood with termites, D. pseudolatum Mai et Jia, sp. nov. (Guangdong, Hubei, Hunan, Jiangxi, Fujian, Hainan, Yunnan) and D. frater Mai et Jia, sp. nov. (Yunnan) from banana trees. Dactylosternum latum (Sharp, 1873) and D. salvazai Orchymont, 1925 are reported for the first time from China, and species recorded previously (D. abdominale (Fabricius, 1792), D. corbetti Balfour-Browne, 1942, D. hydrophiloides (MacLeay, 1825) and D. pui Jia, 2002) are redescribed or diagnosed. Dactylosternum abdominale (Fabricius, 1792) is confirmed to occur in Japan. Dactylosternum latum is only known from Japan based on type specimens believed to be collected in Nagasaki by G. Lewis in late 19 th century; since the species was never re-collected in Japan later, its distribution in Japan seems doubtful. Dactylosternum vitalisi Orchymont, 1925 is synonymized with D. latum (Sharp, 1873), the variability of the latter species is discussed. We moreover found that the type series of D. vitalisi contains two species, with some paratypes actually belonging to D. pseudolatum Mai et Jia, sp. nov. All species of Dactylosternum living in China and Japan are diagnosed and illustrated and a key allowing their identification is provided. We infer that the compact antennal club and paralleled body form are characters related to the life inside of plant tissues, while loose antennal club and rounded body form is present in free living Dactylosternum species. The combination of characters for distinguishing Dactylosternum from other genera of Coelostomatini is also provided.
DOI: 10.15468/dl.35x95x
title: Occurrence Download

description: A dataset containing 540947743 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tracheophyta"
 ]
}

 The dataset includes 540947743 records from 17193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019385-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13682458
title: Crops and Climate: Shaping Pakistan's Economic Future

description: The project, Crops and Climate: Shaping Pakistan’s Economic Future, aims to address thechallenges posed by climate variability and unsustainable agricultural practices in Pakistan.Agriculture plays a crucial role in the country’s economy, contributing between 19% and 20% ofits GDP and employing approximately 38% of the labor force (Government of Pakistan, 2022).However, the sector is vulnerable to unpredictable weather patterns, fluctuating crop yields, and alack of data-driven decision-making.To mitigate these challenges, the project proposes developing an AI-powered Climate and CropEconomic Analysis System. This system will utilize machine learning algorithms and real-timedata analytics to forecast crop yields for key crops such as wheat, rice, cotton, maize, andsugarcane, taking into account historical agricultural data, climate patterns, and production trends.It will provide agricultural stakeholders, policymakers, and industry leaders with informeddecision-making tools, thus optimizing resource allocation, enhancing food security, andpromoting sustainable agricultural practices.The expected outcome is a modernized agricultural sector that contributes to economic stability,reduces reliance on imports, and increases export potential.By incorporating climate adaptationstrategies, the project also aligns with global efforts to mitigate the impacts of climate change onfood production (FAO, 2020).
DOI: 10.5281/zenodo.13682457
title: Crops and Climate: Shaping Pakistan's Economic Future

description: The project, Crops and Climate: Shaping Pakistan’s Economic Future, aims to address thechallenges posed by climate variability and unsustainable agricultural practices in Pakistan.Agriculture plays a crucial role in the country’s economy, contributing between 19% and 20% ofits GDP and employing approximately 38% of the labor force (Government of Pakistan, 2022).However, the sector is vulnerable to unpredictable weather patterns, fluctuating crop yields, and alack of data-driven decision-making.To mitigate these challenges, the project proposes developing an AI-powered Climate and CropEconomic Analysis System. This system will utilize machine learning algorithms and real-timedata analytics to forecast crop yields for key crops such as wheat, rice, cotton, maize, andsugarcane, taking into account historical agricultural data, climate patterns, and production trends.It will provide agricultural stakeholders, policymakers, and industry leaders with informeddecision-making tools, thus optimizing resource allocation, enhancing food security, andpromoting sustainable agricultural practices.The expected outcome is a modernized agricultural sector that contributes to economic stability,reduces reliance on imports, and increases export potential.By incorporating climate adaptationstrategies, the project also aligns with global efforts to mitigate the impacts of climate change onfood production (FAO, 2020).
DOI: 10.5281/zenodo.15486470
title: Crops and Climate: Shaping Pakistan's Economic Future

description: The project, Crops and Climate: Shaping Pakistan’s Economic Future, aims to address thechallenges posed by climate variability and unsustainable agricultural practices in Pakistan.Agriculture plays a crucial role in the country’s economy, contributing between 19% and 20% ofits GDP and employing approximately 38% of the labor force (Government of Pakistan, 2022).However, the sector is vulnerable to unpredictable weather patterns, fluctuating crop yields, and alack of data-driven decision-making.To mitigate these challenges, the project proposes developing an AI-powered Climate and CropEconomic Analysis System. This system will utilize machine learning algorithms and real-timedata analytics to forecast crop yields for key crops such as wheat, rice, cotton, maize, andsugarcane, taking into account historical agricultural data, climate patterns, and production trends.It will provide agricultural stakeholders, policymakers, and industry leaders with informeddecision-making tools, thus optimizing resource allocation, enhancing food security, andpromoting sustainable agricultural practices.The expected outcome is a modernized agricultural sector that contributes to economic stability,reduces reliance on imports, and increases export potential.By incorporating climate adaptationstrategies, the project also aligns with global efforts to mitigate the impacts of climate change onfood production (FAO, 2020).
DOI: 10.15468/dl.r6xc52
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Iowa State University, Ada Hayden Herbarium - Bryophytes",
 "Country is Croatia"
 ]
}

 The dataset includes 29 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006704-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2f3amy
title: Occurrence Download

description: A dataset containing 833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Viet Nam, Cambodia, Indonesia, Nepal, Philippines, Malaysia, Chinese Taipei, Bangladesh, Lao People’s Democratic Republic, Thailand, Bhutan)",
 "Geometry POLYGON((-24.85281 -1.95567,144.85281 -1.95567,144.85281 65.95567,-24.85281 65.95567,-24.85281 -1.95567))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus engleriana Seemen"
 ]
}

 The dataset includes 833 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008879-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgzdbb
title: Occurrence Download

description: A dataset containing 3153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Genista monspessulana (L.) L.A.S.Johnson"
 ]
}

 The dataset includes 3153 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008878-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/4q5cg9
title: National and Subnational Estimates of the Covid 19 Reproduction Number (R) for South Africa Based on Deaths

description: Identifying changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak whilst accounting for potential biases due to delays in case reporting both nationally and subnationally in South Africa.
description: covidrtestimates, 0.2.0:NA
description: EpiNow2, 1.3.3.2000
DOI: 10.7910/dvn/v7t98v
title: Replication Data for: Chemokine Binding to PSGL-1 is Controlled by O-Glycosylation and Tyrosine Sulfation

description: This dataset is for the paper titled "Chemokine binding to PSGL-1 is controlled by O-glycosylation and tyrosine sulfation" by Goth, C. K. and Mehta, A. Y. et al.
DOI: 10.7910/dvn/prgoat
title: Wright Files I-Z Edited; Docketed Case: 16909
DOI: 10.7910/dvn/ohlnwu
title: Wright Files I-Z Edited; Docketed Case: 80-1308
DOI: 10.7910/dvn/pmop0j
title: Replication data for: Perilous Polities? An Assessment of the Democratization-Conflict Linkage
DOI: 10.7910/dvn/pyzxlf
title: Replication Data for: Geographically-Targeted Spending in Mixed-Member Majoritarian Electoral Systems

description: Can governments elected under mixed-member majoritarian (MMM) electoral systems use geographically-targeted spending to increase their chances of staying in office and if so, how? Despite its use in twenty eight countries around the world today, little research has addressed this question. We explain how MMM's combination of electoral rules and unlinked tiers creates a distinct strategic environment in which a large and small party can trade votes in one tier for votes in the other tier in a way that increases the number of seats won by both. Once in government, we explain how parties dependent on vote trading can use geographically-targeted spending to cement it. We test our propositions using original data from Japan (2003-2013) and Mexico (2012-2016). In both cases, we find that municipalities in which supporters split their ballots as instructed received more money after elections. Our findings have broad implications for research on MMM, distributive politics, and the politics of Japan and Mexico, respectively.
DOI: 10.7910/dvn/pqj2rx
title: Replication Data for: Terrorists as Rebels: Territorial Goals, Oil Resources and Civil War Onset in Terrorist Campaigns

description: This dataset includes the replication code and supporting data files for a forthcoming piece in Foreign Policy Analysis, ID FPA-19-Feb-0040, including the dataset, do file and a replication log.
DOI: 10.7910/dvn/pt3tas
title: Technical Reform or Radical Justice? Environmental Discourse in Non-Governmental Organizations - Supplementary Materials

description: Dataset of ENGO communications
DOI: 10.7910/dvn/3f5uc7
title: Wright Files I-Z Edited; Docketed Case: 79-1519