cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2tbu9x
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleurogonium rubicundum (G.O.Sars, 1864)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 495 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069157-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qcgwq
title: Occurrence Download

description: A dataset containing 13753 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acropora Oken, 1815"
 ]
}

 The dataset includes 13753 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028346-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tyddz
title: Occurrence Download

description: A dataset containing 259783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "CoordinateUncertaintyInMeters 0.0-53899.0",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2023"
 ]
}

 The dataset includes 259783 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010549-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhxijm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CatalogNumber is Bird.27847588",
 "Year is 1998",
 "Month is February"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028629-180508205500799/datasets/export for details.
DOI: 10.15468/dl.lze91y
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursera copallifera (Moc. & Sessé ex DC.) Bullock",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 }
 ]
}

 The dataset includes 84 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028351-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mnukm
title: Occurrence Download

description: A dataset containing 15082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Larix kaempferi (Lamb.) Carrière)",
 "HasCoordinate is true",
 "Geometry POLYGON ((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 15082 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004157-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmjbw2
title: Occurrence Download

description: A dataset containing 2945 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ilex asprella (Hook. & Arn.) Champ. ex Benth."
 ]
}

 The dataset includes 2945 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069167-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jlhajb
title: Occurrence Download

description: A dataset containing 112466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodophyta",
 "Country is Australia"
 ]
}

 The dataset includes 112466 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028352-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8q8fmm
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Scolomys melanops Anthony, 1924"
 ]
}

 The dataset includes 84 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069163-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.getpjw
title: Occurrence Download

description: A dataset containing 135209 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis corniculata L."
 ]
}

 The dataset includes 135209 records from 1295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069171-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyquqr
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phocoena sinus"
 ]
}

 The dataset includes 570 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052582-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcypsb
title: Occurrence Download

description: A dataset containing 26718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Anolis sagrei"
 ]
}

 The dataset includes 26718 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052583-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xue52
title: Occurrence Download

description: A dataset containing 2312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coleus barbatus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2312 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052584-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3ypka
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodium interjectum"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052585-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14156683
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.13140/rg.2.2.20274.67521
title: BB1355CB-BFFB-4A64-9109-FF3718AA70FD
DOI: 10.5281/zenodo.17901033
title: Glacial Lake Position Reasoning (GLake-Pos) Dataset

description: This repository contains the Glacial Lake Position Reasoning (GLake-Pos) dataset, which generates diverse and spatially grounded question–answer pairs for glacial lake segmentation, used in our study ‘GLACIA: Instance–Aware Positional Reasoning for Glacial Lake Segmentation via a Multimodal Large Language Model’ by Lalit Maurya, Saurabh Kaushik, and Beth Tellman

 

Please Cite:

Maurya, Lalit, Saurabh Kaushik, and Beth Tellman. "GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model." arXiv preprint arXiv:2512.09251 (2025).
DOI: 10.5281/zenodo.17901034
title: Glacial Lake Position Reasoning (GLake-Pos) Dataset

description: This repository contains the Glacial Lake Position Reasoning (GLake-Pos) dataset, which generates diverse and spatially grounded question–answer pairs for glacial lake segmentation, used in our study ‘GLACIA: Instance–Aware Positional Reasoning for Glacial Lake Segmentation via a Multimodal Large Language Model’ by Lalit Maurya, Saurabh Kaushik, and Beth Tellman

 

Please Cite:

Maurya, Lalit, Saurabh Kaushik, and Beth Tellman. "GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model." arXiv preprint arXiv:2512.09251 (2025).
DOI: 10.15468/dl.3kffdb
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodium vulgare"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052588-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3dtah
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phocoena sinus"
 ]
}

 The dataset's 2 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052587-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd9za7
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.28_1",
 "TaxonKey is Dryophytes chrysoscelis"
 ]
}

 The dataset includes 329 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052589-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/8ddw-ax75
title: "Multi-Sensor Dataset of Ultrasonic and mmWave for Material Classification"

description: "This dataset details a publicly accessible of reflected signals from ultrasonic and millimetre-wave (mmWave) sensors used for material classification. The dataset was gathered using two sensing methods: the URM09 ultrasonic sensor operating at 40 kHz and the DFRobot mmWave C4001 radar sensor operating at 24 GHz. Six common materials were chosen for data collection: wood, plastic, metal, glass, cardboard, and asbestos. Each material was tested at three thicknesses and three sizes (25 cm \u00d7 25 cm, 20 cm \u00d7 20 cm, and 15 cm \u00d7 15 cm). All measurements were taken from a fixed distance of 55 cm in a controlled indoor setting with foam-lined enclosures to reduce external noise. The raw analogue signals were processed with Savitzky-Golay filtering and sliding window techniques. Time-domain features (mean, standard deviation, energy, RMS, kurtosis, skewness) and frequency-domain features (spectral centroid, spectral bandwidth, dominant frequency) were extracted from each sample. For URM09 the dataset includes 1,789 refined data points across all six material-thickness combinations and 565 records for six material-only classification. On the other hand, For C4001 the dataset includes 1,504 refined data points across all five material-thickness combinations and 470 records for five material-only classification.  This dataset supports research in robotics, industrial inspection, non-destructive testing, and sensor fusion applications where contactless material identification is essential."
DOI: 10.5281/zenodo.17931118
title: CSD4CA: A Contextual Swipe Gesture Dataset for Continuous Authentication
title: SwipeMotionDB: Contextual Multimodal Dataset for Continuous Mobile Authentication Using Swipe Gestures and Motion Sensors

description: CSD4CA is a contextual, multimodal swipe gesture dataset designed for continuous mobile authentication research. It contains data from 50 participants collected using a custom Android app on a Pixel 6a device, simulating real-world usage. Each user completed two sessions under three distinct conditions: seated, walking, and stress-induced. The dataset includes synchronized streams of touch interaction events (coordinates, timestamps, pressure, area) and motion sensor signals (accelerometer, gyroscope, magnetometer).
DOI: 10.5281/zenodo.17171887
title: CSD4CA: A Contextual Swipe Gesture Dataset for Continuous Authentication
title: SwipeMotionDB: Contextual Multimodal Dataset for Continuous Mobile Authentication Using Swipe Gestures and Motion Sensors

description: CSD4CA is a contextual, multimodal swipe gesture dataset designed for continuous mobile authentication research. It contains data from 50 participants collected using a custom Android app on a Pixel 6a device, simulating real-world usage. Each user completed two sessions under three distinct conditions: seated, walking, and stress-induced. The dataset includes synchronized streams of touch interaction events (coordinates, timestamps, pressure, area) and motion sensor signals (accelerometer, gyroscope, magnetometer).
DOI: 10.5281/zenodo.17931204
title: The role of big data technologies in religional
DOI: 10.5281/zenodo.17931203
title: The role of big data technologies in religional
DOI: 10.5281/zenodo.17931258
title: THE ROLE OF BIG DATA TECHNOLOGIES IN REGIONAL GOVERNANCE
DOI: 10.5281/zenodo.17931259
title: THE ROLE OF BIG DATA TECHNOLOGIES IN REGIONAL GOVERNANCE
DOI: 10.15468/dl.u8m48p
title: Occurrence Download

description: A dataset listing the 430 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.10137 19.2948,-99.10137 19.2948,-99.10205 19.28612,-99.09858 19.28613,-99.09233 19.2851,-99.0904 19.28857,-99.09027 19.2897,-99.09257 19.29078,-99.0868 19.30059,-99.08853 19.30248,-99.08972 19.30092,-99.09096 19.29931,-99.09234 19.29843,-99.09488 19.29722,-99.10137 19.2948))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset's 430 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052591-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwcasz
title: Occurrence Download

description: A dataset containing 32 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
 (CAST(occurrence.taxonkey AS INTEGER) = 2440665 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2440665 OR CAST(occurrence.kingdomkey AS INTEGER) = 2440665 OR CAST(occurrence.phylumkey AS INTEGER) = 2440665 OR CAST(occurrence.classkey AS INTEGER) = 2440665 OR CAST(occurrence.orderkey AS INTEGER) = 2440665 OR CAST(occurrence.familykey AS INTEGER) = 2440665 OR CAST(occurrence.genuskey AS INTEGER) = 2440665 OR CAST(occurrence.specieskey AS INTEGER) = 2440665)
 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.occurrencestatus = 'PRESENT'
 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 32 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052590-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr27jw
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeranthes caudata"
 ]
}

 The dataset includes 509 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052593-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87zdxs
title: Occurrence Download

description: A dataset containing 146184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buxus sempervirens",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 146184 records from 1049 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052586-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfe5kj
title: Occurrence Download

description: A dataset containing 5640 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podocnemis unifilis"
 ]
}

 The dataset includes 5640 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052595-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17931029
title: Corpus RLD - corpus de uso de recursos lingüísticos en el derecho español
title: RLD Corpus - corpus of linguistic resources in Spanish jurisprudence

description: RLD corpus is a collection of cases where the Spanish High Court and the Constitutional Court Lords or Ladies Justice ("Jueces del Supremo") have turned to Spanish dictionaries and grammar as the linguistic authority to write court judgments. The four main stages followed in the building process of the corpus, (i) design, (ii) implementation, (iii) revision and (iv) publication, are thoroughly explained. The aim of this corpus, which includes 1940 court judgments issued between the years 2012 and 2018, is to provide a representative and empirically adequate sample of data of the use of dictionaries and grammar as linguistic authority in Spanish jurisprudence. This corpus comes to fill a gap in the studies of Language and Law: on the one hand, the lack of large shared corpora of legal texts, available for any researcher or research group interested in this issue, and, on the other hand, the need to analyze empirically the use of dictionaries and grammar in the court judgments of the Spanish High Court and the Constitutional Court.
description: El corpus RLD es una recopilación de sentencias dictadas por jueces de los Tribunales Supremo y Constitucional, quienes han optado por el uso de diccionarios y la gramática del español como autoridad lingüística en la redacción de dichas sentencias judiciales. Las cuatro fases seguidas para la construcción del corpus: (i) diseño, (ii) implementación, (iii) revisión y (iv) publicación se explican detalladamente. El objetivo del corpus, que incluye 1940 sentencias emitidas entre los años 2012 y 2018, es proporcionar una muestra de datos representativos y empíricamente satisfactorios del empleo de los diccionarios y la gramática como autoridad lingüística en la jurisprudencia española. Este corpus viene a cubrir un vacío en los estudios de Lengua y Derecho: por una parte, la ausencia de grandes corpus de textos jurídicos compartidos, disponibles para cualquier investigador o grupo de investigación interesado, y, por otra, la necesidad de analizar empíricamente el uso del diccionario y la gramática en las sentencias de los Tribunales Supremo y Constitucional.
description: The documents come from the online legal databases Tirant Online, published by Tirant (https://www.tirantonline.com), and Aranzadi, published by Thomson Reuters (http://aranzadi.aranzadidigital.es).”

Los documentos proceden de las bases de datos jurídicas en línea: Tirant Online, de la editorial Tirant (https://www.tirantonline.com), y Aranzadi, de la editorial Thomson Reuters (http://aranzadi.aranzadidigital.es)