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

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lophiostoma nucula (Fr.) Ces. & De Not., Scirrhia aspidiorum (Lib.) Bubák)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 384 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163723-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjanhg
title: Occurrence Download

description: A dataset containing 123072 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taxus baccata L."
 ]
}

 The dataset includes 123072 records from 605 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190717-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15648338
title: Lexical Hints of Accuracy in LLM Reasoning: Data
DOI: 10.5281/zenodo.15648337
title: Lexical Hints of Accuracy in LLM Reasoning: Data
DOI: 10.15468/dl.gwnhef
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthidium F.T.Kützing, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038264-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbtje8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Evotella carnosa (Lindl.) J.C.Manning & Goldblatt",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038263-250525065834625/datasets/export for details.
DOI: 10.15468/dl.zuvj8w
title: Occurrence Download

description: A dataset containing 36635 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'HT'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 36635 records were derived from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038245-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15648407
title: CHOKLI
DOI: 10.5281/zenodo.15648408
title: CHOKLI
DOI: 10.15468/r26d9n
title: Subtidal seagrass locations using imagery from BOSS and uBRUV drops, Furneaux islands, Tasmania, Australia (2020-2025)

description: The NESP projectMac3.6 has mapped the extent, ecological composition, population structure, and blue carbon value of seagrass beds around Tayaritja, in partnership with the Tasmanian Aboriginal Centre. The study area focused on the coastal waters surrounding Flinders Island in the western Furneaux Group, with mapping extending from the high tide line to the depth limit of reliable optical detection (approximately 30 m), based on analysis of field data and satellite imagery capabilities in the region.The field validation component of this study involved deployment of benthic video platforms to capture imagery of seagrass beds and associated ecosystems. A field campaign deployed a Benthic Observation Survey System (BOSS) and unBaited Remote Underwater stereo-Video system (stereo-uBRUV) at approximately 400 locations to collect photoquadrats and validate remote sensing outputs. Imagery annotation was conducted in the SQUIDLE+ platform
DOI: 10.5281/zenodo.1477827
title: Random Simple Undirected Weighted Graphs

description: Dataset Description

We introduce a dataset consisting of over 60 flow matrices representing simple, undirected, weighted graphs. This dataset is designed to support empirical studies in graph algorithms, clustering, and network analysis.

Each graph is characterized by





Order (|V|):{20, 50, 100, 300, 500, 700, 800, 900, 1000, 2000, 3000}




Density:For each graph order, 10 instances are generated with edge densities from the following set:{0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 1.0}




Clustered Structure:Nodes are partitioned into predefined clusters, where intra-cluster edges have significantly higher weights, while all inter-cluster edges are uniformly weighted (weight = 1). This structure simulates modular graphs commonly encountered in real-world networks.




Number of Clusters:The number of clusters varies according to graph order:{5, 5, 10, 30, 50, 70, 80, 90, 100, 400, 500}



This dataset enables systematic testing of algorithms under varying structural conditions, including scale, sparsity, and community strength.
DOI: 10.5281/zenodo.15648158
title: Random Simple Undirected Weighted Graphs

description: Dataset Description

We introduce a dataset consisting of over 60 flow matrices representing simple, undirected, weighted graphs. This dataset is designed to support empirical studies in graph algorithms, clustering, and network analysis.

Each graph is characterized by





Order (|V|):{20, 50, 100, 300, 500, 700, 800, 900, 1000, 2000, 3000}




Density:For each graph order, 10 instances are generated with edge densities from the following set:{0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 1.0}




Clustered Structure:Nodes are partitioned into predefined clusters, where intra-cluster edges have significantly higher weights, while all inter-cluster edges are uniformly weighted (weight = 1). This structure simulates modular graphs commonly encountered in real-world networks.




Number of Clusters:The number of clusters varies according to graph order:{5, 5, 10, 30, 50, 70, 80, 90, 100, 400, 500}



This dataset enables systematic testing of algorithms under varying structural conditions, including scale, sparsity, and community strength.
DOI: 10.48597/9phs-53kn
title: Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/pw9v-5eqy
title: Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/qqgw-x9bp
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/v4ed-y3q8
title: Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/xdm4-yj7e
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/9h4n-r4s9
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/9w9k-c5q2
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/f5xx-75tk
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/nj97-up3p
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/rcn5-xhsq
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/2p2b-c52f
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/6gp8-n863
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/9rtq-6943
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/fja2-7m37
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.48597/ryb2-c9kd
title: Measurement of Heavy metals at Pallas (Matorova)

description: Measurement of Heavy metals at Pallas (Matorova)
DOI: 10.6084/m9.figshare.29254223
title: Supplementary material from "The earliest known fungal-induced biomineralization in fossil bones, and its role in the marine ecosystem"

description: Formation of microtubes, defined as small internal borings, in fossil and modern bone is a well-attested phenomenon. However, determining whether microtubes were created by microbial activity or abiotic processes is challenging, particularly in fossils. Here, we report abundant microtubes in compact bone from numerous specimens of the marine reptile <i>Keichousaurus</i> from the Middle Triassic of southwestern China. Light and scanning electron microscope imaging of osteological thin sections, and CT-based 3D reconstruction of the microtubes, reveal geometric features typical of fungal hyphae, such as bifurcation and tight helical coiling. Some microtubes contain what may be the first known fossilized fungal vacuoles. The microtubes are thus likely to be of fungal origin, produced by saprobic marine fungi during decomposition. Furthermore, fluorine is abundant in the compact bone, and even more prevalent in the infillings that occur in many microtubes. The fungi evidently released calcium ions and took up fluorine from the reptiles’ bodies, and promoted the formation of fluorite in the microtubes. The infillings represent the earliest known instance of fungal-induced biomineralization within fossil bone, demonstrating that some Middle Triassic fungi were capable of impacting global biogeochemical cycling by taking up substantial amounts of fluorine.
DOI: 10.6084/m9.figshare.29254223.v1
title: Supplementary material from "The earliest known fungal-induced biomineralization in fossil bones, and its role in the marine ecosystem"

description: Formation of microtubes, defined as small internal borings, in fossil and modern bone is a well-attested phenomenon. However, determining whether microtubes were created by microbial activity or abiotic processes is challenging, particularly in fossils. Here, we report abundant microtubes in compact bone from numerous specimens of the marine reptile <i>Keichousaurus</i> from the Middle Triassic of southwestern China. Light and scanning electron microscope imaging of osteological thin sections, and CT-based 3D reconstruction of the microtubes, reveal geometric features typical of fungal hyphae, such as bifurcation and tight helical coiling. Some microtubes contain what may be the first known fossilized fungal vacuoles. The microtubes are thus likely to be of fungal origin, produced by saprobic marine fungi during decomposition. Furthermore, fluorine is abundant in the compact bone, and even more prevalent in the infillings that occur in many microtubes. The fungi evidently released calcium ions and took up fluorine from the reptiles’ bodies, and promoted the formation of fluorite in the microtubes. The infillings represent the earliest known instance of fungal-induced biomineralization within fossil bone, demonstrating that some Middle Triassic fungi were capable of impacting global biogeochemical cycling by taking up substantial amounts of fluorine.
DOI: 10.15468/dl.y3dw5e
title: Occurrence Download

description: A dataset containing 1580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achillea setacea Waldst. & Kit.",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2010"
 ]
}

 The dataset includes 1580 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038265-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxybx8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthidium F.T.Kützing, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038266-250525065834625/datasets/export for details.
DOI: 10.18141/2569193
title: Electricity Baseline 2022 Background Data and Log File

description: The ElectricityLCI v2 Python package (https://github.com/USEPA/ElectricityLCI/tree/v2.0) was used to generate the 2022 electricity baseline: a regionalized life cycle inventory model of U.S. electricity generation, consumption, and distribution using standardized facility and generation data.

ElectricityLCI implements a local data store for downloading and accessing public data on an individual's computer. The data store follows the folder definition provided by USEPA's esupy Python package (https://github.com/USEPA/esupy), which utilized the appdirs Python dependency (https://pypi.org/project/appdirs/).

This submission includes the background data used to generate the 2022 electricity baseline inventory. Each zip archive stores the source files as found in their data stores. Sub-folders in each of the data stores are archived separately. For example, stewi.zip contains the JSON files, while stewi.facility.zip is the 'facility' sub-folder of stewi data store that stores the parquet files.

To reproduce the data store, extract each zip file and drag-and-drop sub-folders in to their appropriate root folders to recreate the data stores, then copy the root folders to your data store folder (as returned by running the following on the command line: `python -c "import appdirs; print(appdirs.user_data_dir())"`). The main five data stores include: 'electricitylci', 'facilitymatcher', 'fedelemflowlist', 'stewi', and 'stewicombo'.

The log file generated by the 2022 model run is also included, which contains the statements at the DEBUG level and above.
DOI: 10.15468/dl.9zfkgp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Evotella carnosa (Lindl.) J.C.Manning & Goldblatt",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038267-250525065834625/datasets/export for details.
DOI: 10.15468/dl.vp8ddj
title: Occurrence Download

description: A dataset containing 955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adenophora liliifolia (L.) A.DC.",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2010"
 ]
}

 The dataset includes 955 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038269-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppusdk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthidium F.T.Kützing, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038268-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15627483
title: Climate-SMART Forestry – a Near Real-Time Monitoring of Tree Vitality for Higher Decision Security in Managing and Protecting Riparian Forests
title: Riparian Forest Dataset of Vojvodina, Serbia: Spatial Data, Remote Sensing Analysis, and Forest Typology

description: This dataset contains spatial and statistical data related to riparian forests in the region of Vojvodina, Serbia. The data were compiled and processed as part of a research project focusing on the classification, distribution, and temporal changes of riparian forest types along major rivers such as the Danube, Tisa, Tamiš, and Sava.

The dataset includes:





Raster maps and classified satellite imagery (.tif and .png formats),




Vector layers and geospatial shapefiles,




Tabular data with field-based and derived statistics,




Forest typology maps and vegetation structure analyses,




Comparative land cover data from 2012 and 2018 based on CORINE Land Cover (CLC),



The visualizations and spatial layers were generated using GIS tools (QGIS, ArcGIS) and remote sensing methods. Public data sources were used, including:





CORINE Land Cover (© EEA, Copernicus open access),




EUFORGEN species distribution maps,




National Forest Inventory of Serbia (NFI).



All other processing, classification, and statistical analysis were conducted by the dataset author. Data are provided in multiple ZIP archives grouped thematically due to file count limitations.

License and Terms:





CORINE data © European Environment Agency – licensed under Copernicus open access.




EUFORGEN data © EUFORGEN – provided for research and educational purposes.




All derived maps, analyses, and statistical tables created by the author are released under Creative Commons Attribution 4.0 International (CC-BY 4.0).



Citation:

If you use this dataset, please cite the original project and the author. Proper citation allows us to maintain and continue sharing open-access datasets.

Contact:

Vladimir VisackiUniversity of Novi SadInstitute for Lowland Forestry and Environment (ILFE)✉️ vladimir.visacki@gmail.com