cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110820034
title: Persepolis Fortification Elamite Tablet 2267.101, Fort 2267.101

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2267.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on right edge. ❧ [Physical Object Note:] Left side of tablet missing.
DOI: 10.15468/dl.2kme8t
title: Occurrence Download

description: A dataset containing 1336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cruciata laevipes, Galium cruciata)",
 "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 1336 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000104-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303054
title: Ranunculus bonariensis var. bonariensis. 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 16:53
DOI: 10.5281/zenodo.18303055
title: Ranunculus bonariensis var. bonariensis. 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 16:53
DOI: 10.15468/dl.xwcxfh
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.841 15.272879, 100.768183 15.267304, 100.697171 15.250717, 100.629721 15.22353, 100.567503 15.186415, 100.512054 15.140292, 100.464739 15.086301, 100.426724 15.025777, 100.398938 14.960215, 100.382057 14.891233, 100.376487 14.820531, 100.382354 14.749853, 100.399504 14.680936, 100.427503 14.615476, 100.465656 14.55508, 100.513017 14.50123, 100.568419 14.455249, 100.630501 14.418263, 100.697737 14.391177, 100.768481 14.374656, 100.841 14.369104, 100.913519 14.374656, 100.984263 14.391177, 101.051499 14.418263, 101.113581 14.455249, 101.168983 14.50123, 101.216344 14.55508, 101.254497 14.615476, 101.282496 14.680936, 101.299646 14.749853, 101.305513 14.820531, 101.299943 14.891233, 101.283062 14.960215, 101.255276 15.025777, 101.217261 15.086301, 101.169946 15.140292, 101.114497 15.186415, 101.052279 15.22353, 100.984829 15.250717, 100.913817 15.267304, 100.841 15.272879))"},{"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 37 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000105-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31093003
title: <b>National coastal wetland mapping over the last four decades: An annual classification with high accuracy</b>

description: As a critical component of global wetland ecosystems, coastal wetlands are facing dual pressures from climate change and human activities, which have driven the drastic evolutions of coastal wetlands, highlighting the urgent need for a precise classification dataset with large spatial scale and high temporal resolution. The national coastal wetland mappings year by year over the last four decades are crucial for coastal integrated management, but such studies are scarce due to the limitations on classification accuracy. In this study, a robust and automated classification method was developed based on coastline delineation and integrations of multiple algorithms. By analyzing more than 60,000 Landsat images of China's coastal areas and incorporating field survey validation data, an annual coastal wetland spatial distribution dataset with 30-meter spatial resolution spanning from 1985 to 2024 was established. The dataset obtained an average Kappa coefficient of 0.957 and a range from 0.978 to 0.935, and the average overall accuracy was 97.6% with a range of 97.12% - 97.85%, demonstrating the high accuracy and reliability of the proposed method. The results revealed that China's coastal wetland area in 2024 was 8443.88 km², comprising 4120.286 km² salt marshes, 272.854 km² mangrove forests, and 4050.74 km² tidal flats. Temporal analysis indicates an initial decline, followed by a gradual recovery in recent years, with recent ecological restoration projects playing a significant role in this recovery. Particularly, areas of mangrove distinctly increased under the extensive ecological restoration. The coastal wetland patterns remarkably spatially varied across areas within China. The proposed method has achieved high-precision annual coastal wetland spatial datasets and effectively monitored the impacts of invasive species and ecological restoration projects on interannual changes in coastal wetlands, thereby providing fundamental support for scientific management and sustainable development of China's coastal wetlands.
DOI: 10.6084/m9.figshare.31093003.v2
title: <b>National coastal wetland mapping over the last four decades: An annual classification with high accuracy</b>

description: As a critical component of global wetland ecosystems, coastal wetlands are facing dual pressures from climate change and human activities, which have driven the drastic evolutions of coastal wetlands, highlighting the urgent need for a precise classification dataset with large spatial scale and high temporal resolution. The national coastal wetland mappings year by year over the last four decades are crucial for coastal integrated management, but such studies are scarce due to the limitations on classification accuracy. In this study, a robust and automated classification method was developed based on coastline delineation and integrations of multiple algorithms. By analyzing more than 60,000 Landsat images of China's coastal areas and incorporating field survey validation data, an annual coastal wetland spatial distribution dataset with 30-meter spatial resolution spanning from 1985 to 2024 was established. The dataset obtained an average Kappa coefficient of 0.957 and a range from 0.978 to 0.935, and the average overall accuracy was 97.6% with a range of 97.12% - 97.85%, demonstrating the high accuracy and reliability of the proposed method. The results revealed that China's coastal wetland area in 2024 was 8443.88 km², comprising 4120.286 km² salt marshes, 272.854 km² mangrove forests, and 4050.74 km² tidal flats. Temporal analysis indicates an initial decline, followed by a gradual recovery in recent years, with recent ecological restoration projects playing a significant role in this recovery. Particularly, areas of mangrove distinctly increased under the extensive ecological restoration. The coastal wetland patterns remarkably spatially varied across areas within China. The proposed method has achieved high-precision annual coastal wetland spatial datasets and effectively monitored the impacts of invasive species and ecological restoration projects on interannual changes in coastal wetlands, thereby providing fundamental support for scientific management and sustainable development of China's coastal wetlands.
DOI: 10.6084/m9.figshare.31093003.v1
title: <b>National coastal wetland mapping over the last four decades: An annual classification with high accuracy</b>

description: As a critical component of global wetland ecosystems, coastal wetlands are facing dual pressures from climate change and human activities, which have driven the drastic evolutions of coastal wetlands, highlighting the urgent need for a precise classification dataset with large spatial scale and high temporal resolution. The national coastal wetland mappings year by year over the last four decades are crucial for coastal integrated management, but such studies are scarce due to the limitations on classification accuracy. In this study, a robust and automated classification method was developed based on coastline delineation and integrations of multiple algorithms. By analyzing more than 60,000 Landsat images of China's coastal areas and incorporating field survey validation data, an annual coastal wetland spatial distribution dataset with 30-meter spatial resolution spanning from 1985 to 2024 was established. The dataset obtained an average Kappa coefficient of 0.957 and a range from 0.978 to 0.935, and the average overall accuracy was 97.6% with a range of 97.12% - 97.85%, demonstrating the high accuracy and reliability of the proposed method. The results revealed that China's coastal wetland area in 2024 was 8443.88 km², comprising 4120.286 km² salt marshes, 272.854 km² mangrove forests, and 4050.74 km² tidal flats. Temporal analysis indicates an initial decline, followed by a gradual recovery in recent years, with recent ecological restoration projects playing a significant role in this recovery. Particularly, areas of mangrove distinctly increased under the extensive ecological restoration. The coastal wetland patterns remarkably spatially varied across areas within China. The proposed method has achieved high-precision annual coastal wetland spatial datasets and effectively monitored the impacts of invasive species and ecological restoration projects on interannual changes in coastal wetlands, thereby providing fundamental support for scientific management and sustainable development of China's coastal wetlands.
DOI: 10.5281/zenodo.18303075
title: Ranunculus bonariensis var. phyteumifolius (A.St.-Hil.) Hicken ex Lourteig. 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 16:53
DOI: 10.5281/zenodo.18303076
title: Ranunculus bonariensis var. phyteumifolius (A.St.-Hil.) Hicken ex Lourteig. 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 16:53
DOI: 10.15468/dl.w2k333
title: Occurrence Download

description: A dataset containing 9267651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adenocarpus complicatus aureus, Alchemilla fontqueri, Allium pruinatum, Anthemis bourgaei, Arenaria nevadensis, Artemisia granatensis, Artemisia umbelliformis, Astragalus edulis, Astragalus tremolsianus, Atropa baetica, Carduus myriacanthus, Centaurea gadorensis, Centaurea kunkelii, Lepidium navasii, Crepis granatensis, Culcita macrocarpa, Cynomorium coccineum, Dianthus broteri, Diplazium caudatum, Dryopteris tyrrhena, Equisetum palustre, Erigeron frigidus, Erodium astragaloides, Erodium daucoides, Erodium rupicola, Euonymus latifolius, Hieracium texedense, Hippocrepis prostrata, Hormathophylla baetica, Hymenostemma pseudanthemis, Hypochaeris salzmanniana, Isoetes duriei, Jurinea fontqueri, Laserpitium longiradium, Limonium estevei, Limonium malacitanum, Linaria oblongifolia benitoi, Linaria glacialis, Linaria polygalifolia lamarckii, Linaria tursica, Glandora nitida, Marsilea batardae, Marsilea strigosa, Arenaria funiculata, Narcissus nevadensis longispathus, Narcissus nevadensis, Ononis azcaratei, Onopordum dissectum, Asplenium sagittatum, Picris cupuligera, Pinguicula nevadensis, Plantago algarbiensis, Psilotum nudum, Pteris incompleta, Salvia granatensis, Senecio elodes, Seseli intricatum, Silene fernandezii, Sonchus pustulatus, Taraxacum megalorhizon, Thymus albicans, Ulex canescens, Vandenboschia speciosa, Verbascum charidemi, Viola cazorlensis, Vulpia fontquerana, Abies pinsapo, Betula pendula, Campanula specularioides, Iberis carnosa embergeri, Juniperus oxycedrus, Antirrhinum charidemi, Centaurea pulvinata, Gentiana sierrae, Veronica tenuifolia, Senecio nevadensis, Juniperus phoenicea, Tephroseris elodes, Rhodanthemum arundanum arundanum, Quercus alpestris, Euphorbia nevadensis, Leontodon boryi, Aphanius baeticus, Aphanius iberus, Salmo trutta, Orculella bulgarica, Chionomys nivalis, Oenanthe oenanthe, Prunella collaris, Monticola saxatilis, Bucanetes githagineus, Alytes dickhilleni, Parnassius apollo, Plebicula golgus, Agriades zullichi, Baetica ustulata, Rhyacophila nevada, Hydropsyche infernalis, Annitella esparraguera, Annitella iglesiasi, Limnephilus obsoletus, Stenophylax nycterobius, Taeniopteryx hubaulti, Perlodes microcephalus, Capnia nigra, Milvus milvus, Falco subbuteo, Ciconia nigra)",
 "DecimalLongitude is greater than or equal to -11",
 "DecimalLongitude is less than or equal to 50",
 "DecimalLatitude is greater than or equal to 30",
 "DecimalLatitude is less than or equal to 71",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1980",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen, Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)"
 ]
}

 The dataset includes 9267651 records from 6919 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000038-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/tyq9-fg7w
title: Measurement of Particle_number_concentration at Whistler Mountain

description: Measurement of Particle_number_concentration at Whistler Mountain
DOI: 10.15468/dl.vxak6g
title: Occurrence Download

description: A dataset listing the 1033 species recorded in GBIF matching the query:
{
 "PublishingOrg" : [
 "is 946517e0-e34d-485a-908f-41bd2f4d83ef"
 ]
}

 The dataset's 1033 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006892-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up2e7x
title: Occurrence Download

description: A dataset containing 1800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Trigona williana Friese, 1900"
 ]
}

 The dataset includes 1800 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003460-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq8ass
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amaranthus commutatus A.Kern., Amaranthus crassipes subsp. crassipes, Amaranthus graecizans subsp. thellungianus (Nevski) Gusev, Amaranthus sonoriensis Iamonico & El Mokni, Amaranthus tortuosus Hornem.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 60 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003457-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdqg95
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Siren intermedia intermedia)"
 ]
}

 The dataset includes 200 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003462-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14975164
title: Diversity, distribution and conservation of crocodiles (Order: Crocodylia) in Guinea-Bissau, West Africa

description: Challenges in freshwater organisms’ conservation in West Africa are exacerbated by the significant knowledge shortfalls on various biological groups, including charismatic species such as crocodiles. This study addresses these gaps by assessing crocodile diversity, distribution, and conservation threats in Guinea-Bissau (West Africa), where existing data is outdated. We combined visual surveys, inquiries, molecular barcoding, camera trapping and bibliographic review to study crocodile diversity and distribution, and conservation threats in Guinea-Bissau. After 222 years, we recorded evidence of the current presence of the Nile crocodile (Crocodylus niloticus) in West Africa, possibly restricted to the Cacheu region (Guinea-Bissau). We also recorded the West African crocodile (Crocodylus suchus) in most of Guinea-Bissau’s major river basins and coastal lagoons (including the Bijagós Archipelago), and the West African dwarf crocodile (Osteolaemus cf tetraspis) in the southern mainland and the Bijagós Archipelago. Habitat loss and deliberate killings were identified as major threats. Standardized surveys and genetic sampling are essential to assess population size, connectivity, and genetic diversity, aiding in evolutionary studies and conservation planning. Conservation measures should prioritize habitat protection through community-managed reserves and restoration efforts. Additionally, engaging local communities to raise awareness and develop conflict mitigation strategies is crucial, particularly in areas with human-crocodile interactions.
DOI: 10.5281/zenodo.14975165
title: Diversity, distribution and conservation of crocodiles (Order: Crocodylia) in Guinea-Bissau, West Africa

description: Challenges in freshwater organisms’ conservation in West Africa are exacerbated by the significant knowledge shortfalls on various biological groups, including charismatic species such as crocodiles. This study addresses these gaps by assessing crocodile diversity, distribution, and conservation threats in Guinea-Bissau (West Africa), where existing data is outdated. We combined visual surveys, inquiries, molecular barcoding, camera trapping and bibliographic review to study crocodile diversity and distribution, and conservation threats in Guinea-Bissau. After 222 years, we recorded evidence of the current presence of the Nile crocodile (Crocodylus niloticus) in West Africa, possibly restricted to the Cacheu region (Guinea-Bissau). We also recorded the West African crocodile (Crocodylus suchus) in most of Guinea-Bissau’s major river basins and coastal lagoons (including the Bijagós Archipelago), and the West African dwarf crocodile (Osteolaemus cf tetraspis) in the southern mainland and the Bijagós Archipelago. Habitat loss and deliberate killings were identified as major threats. Standardized surveys and genetic sampling are essential to assess population size, connectivity, and genetic diversity, aiding in evolutionary studies and conservation planning. Conservation measures should prioritize habitat protection through community-managed reserves and restoration efforts. Additionally, engaging local communities to raise awareness and develop conflict mitigation strategies is crucial, particularly in areas with human-crocodile interactions.
DOI: 10.15468/dl.5ekdtn
title: Occurrence Download

description: A dataset containing 2214 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is White shark tagging off New Zealand"
 ]
}

 The dataset includes 2214 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011564-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gyxnt
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tropaeolum majus",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 139 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048734-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/cmip6.6830
title: MRI MRI-ESM2.0 model output prepared for CMIP6 DAMIP hist-sol

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.DAMIP.MRI.MRI-ESM2-0.hist-sol' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The MRI-ESM2.0 climate model, released in 2017, includes the following components:
 aerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4. 
The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.