cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3yvtc4
title: Occurrence Download

description: A dataset containing 643152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((19.40766 -25.53209,13.05444 -25.77243,14.59295 -30.22247,17.42277 -35.37317,20.39772 -36.43108,28.34299 -35.19548,29.74844 -34.07204,19.40766 -25.53209))",
 "Month is one of (April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2015"
 ]
}

 The dataset includes 643152 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014598-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bs2ymv
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "Geometry POLYGON((46.39844 54.48186,55.58525 54.48186,55.58525 56.48537,46.39844 56.48537,46.39844 54.48186))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taraxacum bessarabicum (Hornem.) Hand.-Mazz."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014640-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3h22xe
title: Occurrence Download

description: A dataset containing 3183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gmelina elliptica Sm."
 ]
}

 The dataset includes 3183 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014642-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwz5a8
title: Occurrence Download

description: A dataset containing 1487 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gmelina arborea Roxb."
 ]
}

 The dataset includes 1487 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014641-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6x7vsj
title: Occurrence Download

description: A dataset containing 10859279 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 Thryothorus ludovicianus (Latham, 1790)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 10859279 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014626-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvajn3
title: Occurrence Download

description: A dataset containing 36409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gnaphalium luteoalbum L."
 ]
}

 The dataset includes 36409 records from 373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014643-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxbjyr
title: Occurrence Download

description: A dataset containing 33441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Chamaedorea Willd."
 ]
}

 The dataset includes 33441 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014644-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e8ypt
title: Occurrence Download

description: A dataset containing 3692 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ichnocarpus frutescens (L.) W.T.Aiton"
 ]
}

 The dataset includes 3692 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014645-250426092105405/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.22237519
title: Reliability and validity of the Brief Emotional Experience Scale (BEES) as a measure of emotional well-being

description: Raw data files for article titled 'Reliability and validity of the Brief Emotional Experience Scale (BEES) as a measure of emotional well-being'<br>
DOI: 10.15468/dl.pva3qn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "Geometry POLYGON((46.52331 54.40689,55.46856 54.40689,55.46856 56.83613,46.52331 56.83613,46.52331 54.40689))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Triglochin maritima L."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014647-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j6sp6
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Illicium verum Hook.fil."
 ]
}

 The dataset includes 583 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014646-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3jpd7
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "Geometry POLYGON((46.3243 54.48141,55.44008 54.48141,55.44008 56.5418,46.3243 56.5418,46.3243 54.48141))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Typha laxmannii Lepech."
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014648-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmqb9z
title: Occurrence Download

description: A dataset containing 521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasyatis pastinaca (Linnaeus, 1758)"
 ]
}

 The dataset includes 521 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014650-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3yfy3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Chamaelaucium DC., 1828"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014651-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmtyce
title: Occurrence Download

description: A dataset containing 3490 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gomphrena globosa L."
 ]
}

 The dataset includes 3490 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014649-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpa6zv
title: Occurrence Download

description: A dataset containing 18147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Chamaemelum Mill."
 ]
}

 The dataset includes 18147 records from 528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014652-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdu6u4
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.94135 17.36938,-94.02374 16.38062,-92.79327 15.86975,-92.16156 15.16113,-91.51337 15.93567,-92.74933 17.15515,-93.94135 17.36938))",
 {
 "or" : [
 "InstitutionCode is ummz",
 "InstitutionCode is fmnh",
 "InstitutionCode is ecosur"
 ]
 },
 "TaxonKey is Vieja hartwegi (Taylor & Miller, 1980)"
 ]
}

 The dataset includes 67 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314640-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffgndf
title: Occurrence Download

description: A dataset containing 67599804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 67599804 records from 3561 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067614-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8juht9
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anodontites trapesialis",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010750-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pk7gp9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Doliolina resistibilis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006983-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vfrhh37m23.1
title: Thotagamuwa_etal_Data_2025

description: This data is associated with Thotagamuwa, Russell and Demissie “PLANT NEIGHBORHOOD COMPOSITION DRIVES SPATIAL VARIATION IN WHITE-TAILED DEER (ODOCOILEUS VIRGINIANUS) BROWSING INTENSITY IN XERIC WOODLANDS” in review by Forest Ecology and Management. This dataset contains quantifications of deer browsing damage and data on associated variables at five different spatial scales for 245 oak seedlings collected across the Cross Timbers woodlands in Kansas and Oklahoma. The VariableDescription.csv file provides a guidance on the definitions and units of all variables used in the study. StudySites.csv file contains information about the data collected sites.
DOI: 10.17632/6jbpfcsngp.1
title: Governance Index

description: The research data used for research article
DOI: 10.17632/932rzcschf
title: Rising Tides, Sinking Crops: Assessing the Impact of Extreme Sea Level Rise on Coastal Agriculture in Europe and North Africa

description: This dataset maps the projected impact of Extreme Sea Level Rise (ESLR) on agricultural production across Europe and North Africa under five climate scenarios (Baseline, RCP 4.5 and 8.5 for 2050 and 2100) and three risk levels (5th, 50th, 95th percentiles). Using high-resolution elevation models and flood simulations based on JRC ESLR projections, the data identifies areas likely to be inundated. These are overlaid with GAEZ crop production data to estimate productivity and economic losses across 26 crops grouped into six major categories. Each raster cell indicates the percentage of land affected, expected crop loss, and associated economic value, providing a robust tool for assessing climate risks to coastal agriculture and informing adaptation strategies.

Nations: Area in m2 vulnerable to an ESLR event for each scenario
LC_Nations: Area in m2 vulnerable to an ESLR event for each scenario and for each LC class
GAEZ_Nations: Productivity of each of 26 GAEZ+ crops for each ESLR scenario
DOI: 10.17632/932rzcschf.1
title: Rising Tides, Sinking Crops: Assessing the Impact of Extreme Sea Level Rise on Coastal Agriculture in Europe and North Africa

description: This dataset maps the projected impact of Extreme Sea Level Rise (ESLR) on agricultural production across Europe and North Africa under five climate scenarios (Baseline, RCP 4.5 and 8.5 for 2050 and 2100) and three risk levels (5th, 50th, 95th percentiles). Using high-resolution elevation models and flood simulations based on JRC ESLR projections, the data identifies areas likely to be inundated. These are overlaid with GAEZ crop production data to estimate productivity and economic losses across 26 crops grouped into six major categories. Each raster cell indicates the percentage of land affected, expected crop loss, and associated economic value, providing a robust tool for assessing climate risks to coastal agriculture and informing adaptation strategies.

Nations: Area in m2 vulnerable to an ESLR event for each scenario
LC_Nations: Area in m2 vulnerable to an ESLR event for each scenario and for each LC class
GAEZ_Nations: Productivity of each of 26 GAEZ+ crops for each ESLR scenario
DOI: 10.17632/n7xsb285rk
title: Pyralidae meta-analysis data

description: Dados dos artigos incluídos na metanálise e script na análise estatística realizada.
DOI: 10.17632/n7xsb285rk.1
title: Pyralidae meta-analysis data

description: Dados dos artigos incluídos na metanálise e script na análise estatística realizada.
DOI: 10.17632/hvkzc2gcbf.1
title: Exposure to Chatgpt

description: The is the data set obtained from students
DOI: 10.17632/45yfj9csxk.1
title: Experimental analysis and predictive modelling of the mechanical properties of particulate composite of Newbouldia laevis plant fibre using artificial neural networks (ANN)

description: The use of plant biomass as a substitute for synthetic materials in polymer composites is currently attracting significant research interest due to the negative health and environmental impacts associated with synthetic materials. However, inadequate material design hampers the performance and application of these biocomposites. In this study, fibre biomass from the Newbouldia laevis plant stem was processed and utilized to fabricate composites with varying particulate contents. The composites underwent mechanical testing, and the experimental data were analyzed and trained using artificial neural networks (ANN) to develop an accurate predictive model for enhanced material design. The calculated mean absolute percentage error (MAPE) for tensile, flexural, compression, and impact strengths was 4.4%, 3.6%, 8.7%, and 8.5%, respectively, indicating a high level of accuracy in the predictions. In comparison, the MAPE from the linear regression model was 10.9%, 5.9%, 10.4%, and 19.7% for tensile, flexural, compression, and impact strength, respectively, demonstrating that the ANN prediction model is more accurate and reliable. Therefore, for biocomposite research and product development, it is recommended that ANN be employed for optimizing material design to help reduce both the time and cost of research.
DOI: 10.17632/s9m4h6v59m.1
title: Demography and epidemiology of mental disorders in age groups of the Krasnodar region in 2023.

description: Excel table in Russian used to visualize data for a scientific article. Presents data on the population of Krasnodar Krai by districts, morbidity rates per 1000 and 100000 population by psychiatric diagnoses. Additionally, general morbidity and morbidity by drug addiction diagnoses are presented. Some correlation coefficients are calculated.
The aim of the study: to conduct an analysis of the prevalence of mental disorders in the Krasnodar Territory based on morbidity rates, illness rates, and demographic data of the population, with the aim of identifying key epidemiological patterns and risk groups.
Research method: The study used state statistics data based on Rosstat and F-10 data provided by the Department of Psychiatry of the Kuban State Medical University (KubSMU) and the Narcological Dispensary for 2023. Key indicators, such as the population of the Krasnodar Territory, correspond to the population estimate data for municipalities of the Krasnodar Territory as of January 1, 2023. The overall morbidity rate was calculated per 1,000 people, and indicators for individual age subgroups - per 100,000 people, with additional analysis for children and adolescents.
DOI: 10.17632/s9m4h6v59m
title: Demography and epidemiology of mental disorders in age groups of the Krasnodar region in 2023.

description: Excel table in Russian used to visualize data for a scientific article. Presents data on the population of Krasnodar Krai by districts, morbidity rates per 1000 and 100000 population by psychiatric diagnoses. Additionally, general morbidity and morbidity by drug addiction diagnoses are presented. Some correlation coefficients are calculated.
The aim of the study: to conduct an analysis of the prevalence of mental disorders in the Krasnodar Territory based on morbidity rates, illness rates, and demographic data of the population, with the aim of identifying key epidemiological patterns and risk groups.
Research method: The study used state statistics data based on Rosstat and F-10 data provided by the Department of Psychiatry of the Kuban State Medical University (KubSMU) and the Narcological Dispensary for 2023. Key indicators, such as the population of the Krasnodar Territory, correspond to the population estimate data for municipalities of the Krasnodar Territory as of January 1, 2023. The overall morbidity rate was calculated per 1,000 people, and indicators for individual age subgroups - per 100,000 people, with additional analysis for children and adolescents.
DOI: 10.17632/s9m4h6v59m.2
title: Demography and epidemiology of mental disorders in age groups of the Krasnodar region in 2023.

description: Excel table in Russian used to visualize data for a scientific article. Presents data on the population of Krasnodar Krai by districts, morbidity rates per 1000 and 100000 population by psychiatric diagnoses. Additionally, general morbidity and morbidity by drug addiction diagnoses are presented. Some correlation coefficients are calculated.
The aim of the study: to conduct an analysis of the prevalence of mental disorders in the Krasnodar Territory based on morbidity rates, illness rates, and demographic data of the population, with the aim of identifying key epidemiological patterns and risk groups.
Research method: The study used state statistics data based on Rosstat and F-10 data provided by the Department of Psychiatry of the Kuban State Medical University (KubSMU) and the Narcological Dispensary for 2023. Key indicators, such as the population of the Krasnodar Territory, correspond to the population estimate data for municipalities of the Krasnodar Territory as of January 1, 2023. The overall morbidity rate was calculated per 1,000 people, and indicators for individual age subgroups - per 100,000 people, with additional analysis for children and adolescents.
DOI: 10.17632/d75dzbjd4k.1
title: Table of Large Degree/Diameter Graphs

description: A graph, G=(V,E), consists of a non empty finite set V of elements called vertices and a set E of pairs of elements of V called edges. The number of vertices N=|G|=|V| is the order of the graph. If (x,y) is an edge of E, we say that x and y (or y and x) are adjacent and this is usually written x --&gt; y. It is also said that x and y are the endvertices of the edge (x,y). The degree of a vertex δ(x) is the number of vertices adjacent to x. The degree of G is Δ=max_{x ∈ V} δ(x). A graph is regular of degree Δ or Δ - regular if the degree of all vertices equal Δ. The distance between two vertices x and y, d(x,y) , is the number of edges of a shortest path between x and y , and its maximum value over all pair of vertices, D=max_{x, y ∈ V}d(x,y) , is the diameter of the graph. A (Δ,D) graph is a graph with maximum degree Δ and diameter at most D. The order of a graph with degree Δ, Δ &gt; 2), of diameter D is easily seen to be bounded by

1 + Δ + Δ (Δ-1) + ...+ Δ (Δ-1) D-1 = (Δ (Δ-1)D -2) / (Δ-2) = N(Δ, D)

Hoffman and Singleton introduced the concept of Moore graphs, after Edward Forrest Moore, as graphs attaining this value, known as Moore bound. They also showed that, for D ≥ 2 and Δ ≥ 3, Moore graphs exist for D=2 and Δ =3,7 , and (perhaps) 57, see [HoSi60]. In this context, it is of great interest to find graphs which for a given maximum diameter and maximum degree have a number of vertices as close as possible to the Moore bound.

The following table give the state of the art with respect to the LARGEST KNOWN (Δ ,D)-GRAPHS

Click the position if you wish to know more information: graph construction details, Moore bound, author, references... For most small (&lt; 20000) order values you can download the adjacency list. Entries in boldface are optimal.