cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.69fgu9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nothoscordum borbonicum",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001667-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkkpuc
title: Occurrence Download

description: A dataset containing 3711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "InstitutionCode is one of (BCN, JACA, COI, MA, SEV, SALA, MAF, MACB, MGC, CALM)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Quercus rotundifolia Lam., Quercus faginea subsp. faginea, Quercus faginea subsp. broteroi (Cout.) A.Camus, Quercus pyrenaica Willd., Quercus suber L., Pinus sylvestris L., Juniperus oxycedrus L.)"
 ]
}

 The dataset includes 3711 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248054-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2ew8x
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achlys japonica Maxim.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196688-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r84bga
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dichanthelium scoparium (Lam.) Gould",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198984-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vz6tp
title: Occurrence Download

description: A dataset containing 553 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amyris balsamifera L."
 ]
}

 The dataset includes 553 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254567-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7gcbp
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meliosma arnottiana subsp. oldhamii (Maxim.) H.Ohba",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196680-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kmmc2
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phacelurus latifolius (Steud.) Ohwi",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 79 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198985-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52ew7v
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Histiotus montanus (Philippi & Landbeck, 1861)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0244972-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fmq65
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gerris nepalensis Distant, 1910",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196681-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytq6zn
title: Occurrence Download

description: A dataset containing 132867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected)",
 "TaxonKey is Dryopteris filix-mas (L.) Schott",
 "Year 1910-2022"
 ]
}

 The dataset includes 132867 records from 468 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198980-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcnkx2
title: Occurrence Download

description: A dataset containing 1235781 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aythya ferina (Linnaeus, 1758)"
 ]
}

 The dataset includes 1235781 records from 919 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265766-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp4px8
title: Occurrence Download

description: A dataset containing 8697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Living Specimen)",
 "Continent is one of (South America, North America, Europe, Oceania, Asia, Africa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bison C.H.Smith, 1827"
 ]
}

 The dataset includes 8697 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259503-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcpyar
title: Occurrence Download

description: A dataset listing the 16 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.28591 34.62726,-116.54849 31.60013,-115.01676 32.01667,-116.30341 34.67766,-120.28591 34.62726))",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta",
 "Year 1000-1840"
 ]
}

 The dataset's 16 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198972-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dytzt
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meliosma arnottiana (Wight) Walp.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196685-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcm7ur
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Catalpa bungei C.A.Mey."
 ]
}

 The dataset includes 324 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248056-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kq32a
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poa hakusanensis Hack.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 186 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198992-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gvzym
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Anisotremus moricandi (Ranzani, 1842)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196707-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92fwvq
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Populus rotundifolia Griff."
 ]
}

 The dataset includes 357 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248055-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbfjhb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000024-160802083343578/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cf25b
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "PublishingOrg is one of (30ff48bd-4dd1-429d-a5a5-348c8e5fbfb1)",
 "GadmGid is one of (COL.20_2, COL.12_2, COL.4_2, COL.19_2, COL.29_2, COL.14_2, COL.6_2)",
 "TaxonKey is one of (Dipnoides, Perciformes, Cypriniformes, Siluriformes, Salmoniformes, Gadiformes, Anguilliformes, Acipenseriformes, Polypteriformes, Amiiformes, Lepisosteiformes, Atheriniformes, Clupeiformes, Myxini, Elasmobranchii, Holocephali, Acipenseriformes)"
 ]
 }
 ]
}

 The dataset includes 50 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071807-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6pd9g
title: Occurrence Download

description: A dataset containing 52765 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "Year 1000-2020",
 "GadmGid is one of (COL.14_2, COL.4_2, COL.29_2, COL.20_2, COL.6_2, COL.19_2, COL.12_2)",
 "OccurrenceStatus is one of (Present)",
 "TaxonKey is one of (Coleoptera, Diptera, Hemiptera, Hymenoptera, Lepidoptera, Odonata, Ephemeroptera)"
 ]
 }
 ]
}

 The dataset includes 52765 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013599-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qibjq7
title: Occurrence Download

description: A dataset containing 1106773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pipistrellus nathusii (Keyserling & Blasius, 1839), Pipistrellus pipistrellus (Schreber, 1774), Eptesicus serotinus (Schreber, 1774), Myotis bechsteinii (Kuhl, 1817), Myotis brandtii (Eversmann, 1845), Myotis dasycneme (Boie, 1825), Myotis daubentonii (Kuhl, 1817), Myotis emarginatus (E.Geoffroy, 1806), Myotis myotis (Borkhausen, 1797), Myotis mystacinus (Kuhl, 1817), Myotis nattereri (Kuhl, 1817), Vespertilio murinus Linnaeus, 1758, Barbastella barbastellus (Schreber, 1774), Rhinolophus euryale Blasius, 1853, Rhinolophus ferrumequinum (Schreber, 1774), Rhinolophus hipposideros (Bechstein, 1800), Nyctalus leisleri (Kuhl, 1817), Nyctalus noctula (Schreber, 1774), Plecotus E.Geoffroy, 1818, Plecotus auritus (Linnaeus, 1758), Plecotus austriacus (J.Fischer, 1829))"
 ]
}

 The dataset includes 1106773 records from 674 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014965-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw4dcl
title: Occurrence Download

description: A dataset containing 981541357 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 981541357 records from 19449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000643-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17494469
title: Adaptable economies: Depth‐dependent plant carbon allocation acquires distinct phosphorus forms

description: This repository contains the R script and datasets needed for the analyses described in the manuscript, "Adaptable economies: Depth‐dependent plant carbon allocation acquires distinct phosphorus forms."  The repository includes the following files: 

GreenhouseScript_Cleaned.R: Cleaned R script used to run statistical analyses and generate plots for the above manuscript.Cstocks.csv: Data file contaning root and foliar carbon stock data.GreenhouseDataSummary3_101321.csv: Data file with all data compiled in one place, used to run phosphatase analyses in the R script. GreenhouseRootCounts_2_109cm_101221: Data file containing root count data from soil surface to 109 cm deep, presence absence data for each 1 cm layer. Used for root distribution analyses. PlantP_Concentrations_Edit.csvPStocks4.csv: Data file with cumulative plant (root and shoot) and soil P stocks collected from described experiment. PStocks_totals_010825.csv: Data file containing all foliar, root, and soil P data, depth specific not cumulative.  Greenhouse_PcalcWorkbook_EH_080125_Version2_update depths-2.csv: Soil P fractions spreadsheet including organic P, inorganic P, recalcitrant P and P in soil extracts used to calcualte soil Po and Pi totals. PHorizons.csv: Soil P data summed by 'layer' for analysis of shallow and deep soils in the described experiment.
DOI: 10.34810/data2064
title: Encuesta sobre Usos y Percepciones de la IA entre el alumnado del Máster Universitario de Comunicación Corporativa de la Universitat Oberta de Catalunya

description: El conjunto de datos procede de un cuestionario enviado al alumnado del Máster en
Comunicación Corporativa de la Universitat Oberta de Catalunya (N=322) sobre sus usos y
percepciones de herramientas de Inteligencia Artificial Generativa en relación a su aprendizaje. En primer lugar, se aborda el conocimiento y uso de distintas herramientas de IA así como la motivación (laboral, de aprendizaje) para empezar a usarlas y las perspectivas de su uso en el sector profesional. También se les pregunta por la disposición a utilizar estas herramientas así como sus potencialidades, limitaciones y principales preocupaciones al respecto. Por último, también se realizan preguntas de carácter sociodemográfico que no permiten identificar a las personas participantes en la encuesta.
description: Qualtrics, null
description: JASP, 0.18.3
DOI: 10.5281/zenodo.17471461
title: The Dataset and Code For the Analysis of Shang Dynasty Bronze Vessel Patterns

description: The data and code supporting the study for the article " The Connection of Bronze Vessel Patterns: Revealing Cultural Exchange in the Late Shang Dynasty Based on the Similarity Network"

This dataset and code enable deep learning-based type prediction of Shang dynasty bronze vessel motifs and facilitate the extraction of feature vectors for similarity analysis. For detailed usage instructions, please refer to the README file in the root directory.

Note: Due to the algorithmic nature of deep learning, your results may not exactly match the provided data. However, in subsequent algorithms, you can obtain highly similar data relationships. The purpose of this method is to uncover patterns underlying the data, and the interpretation of results should be approached with appropriate nuance.
DOI: 10.15468/dl.dd2g87
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Maihueniopsis clavarioides"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009902-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yh33rj
title: Occurrence Download

description: A dataset containing 12703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Guadua angustifolia"
 ]
}

 The dataset includes 12703 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009901-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17494698
title: Data and scripts from : Disentangling urbanisation, climate effects and their interaction on ornamental colourations

description: This folder contains all the data and scripts used for the study 'Disentangling urbanisaiton, climate effects and their interaction on ornamental colourations', submitted.
DOI: 10.6084/m9.figshare.30471311
title: Deep learning denoising unlocks quantitative insights in operando materials microscopy - Simulated Cahn-Hilliard Benchmark Dataset

description: Dataset and metadata for the simulated Cahn-Hilliard section of the publication: "Deep learning denoising unlocks quantitative insights in operando materials microscopy"
DOI: 10.6084/m9.figshare.30471311.v1
title: Deep learning denoising unlocks quantitative insights in operando materials microscopy - Simulated Cahn-Hilliard Benchmark Dataset

description: Dataset and metadata for the simulated Cahn-Hilliard section of the publication: "Deep learning denoising unlocks quantitative insights in operando materials microscopy"
DOI: 10.6084/m9.figshare.30500864
title: Grading System

description: Extracting entity connectivity from texts is important for uncovering how places relate within real-world discourse. While structured data is informative, textual data captures rich contextual and semantic knowledge enabling us to identify hidden networks of interdependence and thematic connections among geographic entities. Entity connectivity is not just complementary to information retrieval, but rather essential in various activities including event analysis, spatial decision support systems, urban studies, and knowledge graph development. This research presents a grading system for evaluating connectivity between geospatial entities, such as places, events, and geopolitical entities extracted from texts. The methodology proposes two versions of the grading system: one based on co-occurrences and semantic similarity, and a second one that additionally incorporates the geodesic distance feature. The two systems are evaluated and compared using six machine learning algorithms: Random Forest, Gradient Boosting, Multi-Layer Perceptron (MLP), K-Nearest Neighbors (KNN), Decision Tree, and Support Vector Machine (SVM). The performance of the algorithms is analyzed by measuring accuracy, precision, recall, F1-score, and R². The results show that the system without geodesic distance performs better on general texts, indicating that the addition of geographic features can introduce noise in cases where geographic relevance is not immediately important. In terms of accuracy, Decision Tree was the best performing algorithm for the system without geodesic distance, whereas K-Nearest Neighbors (KNN) was the best performing model for the system with geodesic distance, which indicates that different feature sets may benefit from different learning strategies. You can find attached the data used for training and the trained classifiers for both the 2 versions of the grading system.
DOI: 10.6084/m9.figshare.30500864.v1
title: Grading System

description: Extracting entity connectivity from texts is important for uncovering how places relate within real-world discourse. While structured data is informative, textual data captures rich contextual and semantic knowledge enabling us to identify hidden networks of interdependence and thematic connections among geographic entities. Entity connectivity is not just complementary to information retrieval, but rather essential in various activities including event analysis, spatial decision support systems, urban studies, and knowledge graph development. This research presents a grading system for evaluating connectivity between geospatial entities, such as places, events, and geopolitical entities extracted from texts. The methodology proposes two versions of the grading system: one based on co-occurrences and semantic similarity, and a second one that additionally incorporates the geodesic distance feature. The two systems are evaluated and compared using six machine learning algorithms: Random Forest, Gradient Boosting, Multi-Layer Perceptron (MLP), K-Nearest Neighbors (KNN), Decision Tree, and Support Vector Machine (SVM). The performance of the algorithms is analyzed by measuring accuracy, precision, recall, F1-score, and R². The results show that the system without geodesic distance performs better on general texts, indicating that the addition of geographic features can introduce noise in cases where geographic relevance is not immediately important. In terms of accuracy, Decision Tree was the best performing algorithm for the system without geodesic distance, whereas K-Nearest Neighbors (KNN) was the best performing model for the system with geodesic distance, which indicates that different feature sets may benefit from different learning strategies. You can find attached the data used for training and the trained classifiers for both the 2 versions of the grading system.