cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a9bsd5
title: Occurrence Download

description: A dataset containing 926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Entada phaseoloides",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 926 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016767-260208012135463/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.31337641
title: Global Range Size Project

description: Range-size-project🌍 Global Plant Range Size Project This repository contains the full code and analysis pipeline for the study "Hemispheric asymmetry in climatic drivers of plant latitudinal range size", which investigates global patterns in plant geographic distributions and the ecological, climatic, and evolutionary factors that shape them.📊 Overview We analyze the latitudinal range sizes of 47,675 vascular plant species using a combination of trait-based modeling, structural equation modeling (SEM), and phylogenetic signal analysis. Our objectives are to:Test Rapoport’s rule in both hemispheres.Identify climatic drivers of latitudinal range size using SEM.Assess evolutionary lability of range size via phylogenetic signal tests.Investigate plant trait associations with range size (growth form, leaf size, structure, phenology).🧪 Major ComponentsData Preparation Climate and occurrence data were grouped by range edge (e.g., extent.ymax or extent.ymin) into 1°/0.5° bins.Mean climatic variables and latitudinal range sizes were computed per bin for SEM input.Predictor Selection A Random Forest model was applied separately for Northern and Southern Hemisphere data to identify the top climatic variables influencing range size.Stepwise regression was used to refine the variable list before SEM modeling.Structural Equation Modeling (SEM) SEMs were implemented using the lavaan package in R.Model refinement was based on modification indices (MI), model fit statistics (CFI, RMSEA, SRMR), and ecological plausibility.For the Southern Hemisphere, latent variables were constructed to represent drought and thermal variability.
DOI: 10.6084/m9.figshare.31337641.v1
title: Global Range Size Project

description: Range-size-project🌍 Global Plant Range Size Project This repository contains the full code and analysis pipeline for the study "Hemispheric asymmetry in climatic drivers of plant latitudinal range size", which investigates global patterns in plant geographic distributions and the ecological, climatic, and evolutionary factors that shape them.📊 Overview We analyze the latitudinal range sizes of 47,675 vascular plant species using a combination of trait-based modeling, structural equation modeling (SEM), and phylogenetic signal analysis. Our objectives are to:Test Rapoport’s rule in both hemispheres.Identify climatic drivers of latitudinal range size using SEM.Assess evolutionary lability of range size via phylogenetic signal tests.Investigate plant trait associations with range size (growth form, leaf size, structure, phenology).🧪 Major ComponentsData Preparation Climate and occurrence data were grouped by range edge (e.g., extent.ymax or extent.ymin) into 1°/0.5° bins.Mean climatic variables and latitudinal range sizes were computed per bin for SEM input.Predictor Selection A Random Forest model was applied separately for Northern and Southern Hemisphere data to identify the top climatic variables influencing range size.Stepwise regression was used to refine the variable list before SEM modeling.Structural Equation Modeling (SEM) SEMs were implemented using the lavaan package in R.Model refinement was based on modification indices (MI), model fit statistics (CFI, RMSEA, SRMR), and ecological plausibility.For the Southern Hemisphere, latent variables were constructed to represent drought and thermal variability.
DOI: 10.15468/dl.su8fpe
title: Occurrence Download

description: A dataset containing 557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erythropalum scandens",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 557 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016770-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9brmmz
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus cyrtophylla",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 347 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016771-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqkp7d
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus macropodocarpa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 472 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016772-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chvv8f
title: Occurrence Download

description: A dataset containing 64 records in GBIF matching the query:
SELECT "eventid", "decimallatitude", "decimallongitude", "year", "month", "day", "eventtime", "samplesizevalue", "samplingeffort", "samplesizeunit", "samplingprotocol", "dynamicproperties" FROM "occurrence" WHERE "datasetkey" = '4fa7b334-ce0d-4e88-aaae-2e0c138d049e' AND "decimallatitude" &gt;= 40.77 AND "decimallatitude" &lt;= 40.771 AND "decimallongitude" &gt;= -73.973 AND "decimallongitude" &lt;= -73.972

 The dataset's 64 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016768-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/j0d8-h696
title: LA-ICP-MS analysis of sulfide trace elements in section OREX-800055-18
DOI: 10.15468/dl.wcrv3e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus pubigera",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016774-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bpyvnrftbw
title: Linking abiotic and biotic factors to phytoplankton dynamics using Synurales (Chrysophyceae) as a model

description: This dataset includes multiple alignments of ITS rDNA sequences of Synurales reference strains, along with the swarms obtained by environmental sequencing.
DOI: 10.17632/4hvrdhvrbg
title: Critical mixture double spike Mg and Fe isotope data of ocean island basalt

description: This word file contains the Mg and Fe isotope data of ocean island basalt
DOI: 10.17632/bpyvnrftbw.1
title: Linking abiotic and biotic factors to phytoplankton dynamics using Synurales (Chrysophyceae) as a model

description: This dataset includes multiple alignments of ITS rDNA sequences of Synurales reference strains, along with the swarms obtained by environmental sequencing.
DOI: 10.17632/4hvrdhvrbg.2
title: Critical mixture double spike Mg and Fe isotope data of ocean island basalt

description: This word file contains the Mg and Fe isotope data of ocean island basalt
DOI: 10.17632/k6bx47pyxt
title: Codes for Higher actin contractility and cargo-loaded clathrin pits create midplane-peaked apico-basal tension profiles in HeLa cells

description: Folder “actin_myosin_or_ezrin_analysis” contains the codes for the analysis of the ezrin-actin or myosin-actin colocalization at the cortex of the cell and the code to collect the data from the .mat files obtained from each cell analysis.

Folder “flipTR_lifetime_analysis” contains the code for the flipTR lifetime analysis at the periphery region of the cell (“boundarycellforTanmoy.m”), and for PMS (“lifetime_analysis_pms.m”), from which the lifetime value was collected at the membrane, and then analysed. We also have the code “Tanmoy_flipprofile_collate.m” to collate the flipperTR profile data from each profile in the main code. Also, we have code “section_visualing.m” to visualise the surface of the membrane overall along the height of the cell, to understand if there is a prevailing tension or order gradient along the cells’ or PMS height. 

Folder "for_plotting" contains a program that visualises data by dividing the dataset into equal segments and calculating the median and error for the plot, creating a profile of scatter data from multiple cells.

Folder “OT_image_analysis” contains two folders, the first “OT_image_analysis”, used for the force measurements by image analysis, and the other is “Stage_Run_Labview_code”, used to move the stage at a particular velocity of 0.5 μm/sec away from the trapped bead for tether pulling experiments. The “OT_image_analysis” module contains the required functions and code to determine the centroid of the bead, which is optically trapped for force measurements. The main code here is “trap_all_files.m” used to find the centroid of the bead by fitting the periphery to a circle.

Folder “transferrin_clathrin_analysis” has a code “tf_clathrin_cortex_wc_analysis.m” to analyse transferrin and clathrin colocalization at the cortex per image stack. After generating it, the data was collected by using the code “data_collect_all.m” for further analysis.
DOI: 10.17632/k6bx47pyxt.1
title: Codes for Higher actin contractility and cargo-loaded clathrin pits create midplane-peaked apico-basal tension profiles in HeLa cells

description: Folder “actin_myosin_or_ezrin_analysis” contains the codes for the analysis of the ezrin-actin or myosin-actin colocalization at the cortex of the cell and the code to collect the data from the .mat files obtained from each cell analysis.

Folder “flipTR_lifetime_analysis” contains the code for the flipTR lifetime analysis at the periphery region of the cell (“boundarycellforTanmoy.m”), and for PMS (“lifetime_analysis_pms.m”), from which the lifetime value was collected at the membrane, and then analysed. We also have the code “Tanmoy_flipprofile_collate.m” to collate the flipperTR profile data from each profile in the main code. Also, we have code “section_visualing.m” to visualise the surface of the membrane overall along the height of the cell, to understand if there is a prevailing tension or order gradient along the cells’ or PMS height. 

Folder "for_plotting" contains a program that visualises data by dividing the dataset into equal segments and calculating the median and error for the plot, creating a profile of scatter data from multiple cells.

Folder “OT_image_analysis” contains two folders, the first “OT_image_analysis”, used for the force measurements by image analysis, and the other is “Stage_Run_Labview_code”, used to move the stage at a particular velocity of 0.5 μm/sec away from the trapped bead for tether pulling experiments. The “OT_image_analysis” module contains the required functions and code to determine the centroid of the bead, which is optically trapped for force measurements. The main code here is “trap_all_files.m” used to find the centroid of the bead by fitting the periphery to a circle.

Folder “transferrin_clathrin_analysis” has a code “tf_clathrin_cortex_wc_analysis.m” to analyse transferrin and clathrin colocalization at the cortex per image stack. After generating it, the data was collected by using the code “data_collect_all.m” for further analysis.
DOI: 10.17632/c5z6j69mnk
title: Does future framing affect people’s contribution to climate change mitigation? Evidence from an online experiment

description: Here is the dataset used for the paper.
DOI: 10.17632/c5z6j69mnk.1
title: Does future framing affect people’s contribution to climate change mitigation? Evidence from an online experiment

description: Here is the dataset used for the paper.
DOI: 10.15468/dl.tp32ar
title: Occurrence Download

description: A dataset containing 2442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crocodylus niloticus, Pelomedusa subrufa, Pelomedusa galeata, Pelusios castanoides, Pelusios rhodesianus, Pelusios sinuatus, Pelusios subniger, Varanus niloticus, Lycodonomorphus rufulus, Lycodonomorphus laevissimus, Lycodonomorphus obscuriventris, Amplorhinus multimaculatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "Issue" : [
 "is one of (Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Modified date invalid)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((29.7284 -28.9003, 29.7284 -24.1503, 25.0903 -24.1503, 24.9784 -24.369, 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, 20.5896 -24.1503, 20.2284 -24.1503, 20.2284 -28.9003, 20.2284 -33.6503, 20.2284 -34.7667, 20.2855 -34.7533, 20.509 -34.5676, 20.524 -34.555, 20.8859 -34.5419, 20.9606 -34.4398, 21.2995 -34.5131, 21.5296 -34.4338, 21.8696 -34.4439, 22.0323 -34.2835, 22.221 -34.2428, 22.2566 -34.1304, 22.5993 -34.0741, 22.9652 -34.1674, 23.4069 -34.1858, 23.4955 -34.0792, 23.6056 -34.0563, 24.8471 -34.2877, 24.9447 -34.2397, 24.9784 -34.1564, 24.9784 -33.6503, 26.9976 -33.6503, 27.1586 -33.5889, 28.2048 -32.9007, 28.5753 -32.6569, 29.4902 -31.7517, 29.7284 -31.5933, 29.7284 -28.9003)))"
 ]
}

 The dataset includes 2442 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016775-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18637262
title: Supplementary Data for "MLIP-MC: A Framework for Adsorption Simulations using Machine-Learned Interatomic Potentials"

description: This repository contains the supporting data and scripts accompanying the publication "MLIP-MC: A Framework for Adsorption Simulations using Machine-Learned Interatomic Potentials." It includes example input files for Grand Canonical Monte Carlo (GCMC) and Widom insertion simulations using the FairChem ODAC23 model, crystal structure files (CIF format) for the metal–organic frameworks studied (Mg-MOF-74, ZIF-4, and ZIF-8), a CO2 molecular geometry, processed simulation results for all pressures and frameworks, and Python scripts used for data analysis and figure generation.

Contents:



Example inputs: Shell scripts for running Widom insertion and GCMC simulations for each MOF.

Framework structures: CIF files for Mg-MOF-74, ZIF-4, and ZIF-8, along with an XYZ file for CO₂.

Results: Processed CSV data from GCMC simulations and Widom insertions across all pressures and MOFs.

Scripts: Python scripts for plotting adsorption isotherms, isosteric heats of adsorption, and Widom insertion results.
DOI: 10.5281/zenodo.18637263
title: Supplementary Data for "MLIP-MC: A Framework for Adsorption Simulations using Machine-Learned Interatomic Potentials"

description: This repository contains the supporting data and scripts accompanying the publication "MLIP-MC: A Framework for Adsorption Simulations using Machine-Learned Interatomic Potentials." It includes example input files for Grand Canonical Monte Carlo (GCMC) and Widom insertion simulations using the FairChem ODAC23 model, crystal structure files (CIF format) for the metal–organic frameworks studied (Mg-MOF-74, ZIF-4, and ZIF-8), a CO2 molecular geometry, processed simulation results for all pressures and frameworks, and Python scripts used for data analysis and figure generation.

Contents:



Example inputs: Shell scripts for running Widom insertion and GCMC simulations for each MOF.

Framework structures: CIF files for Mg-MOF-74, ZIF-4, and ZIF-8, along with an XYZ file for CO₂.

Results: Processed CSV data from GCMC simulations and Widom insertions across all pressures and MOFs.

Scripts: Python scripts for plotting adsorption isotherms, isosteric heats of adsorption, and Widom insertion results.
DOI: 10.15468/dl.z7gued
title: Occurrence Download

description: A dataset containing 15180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus religiosa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 15180 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016776-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18637216
title: Classification of tree species for their degree of determinacy
DOI: 10.5281/zenodo.18637215
title: Classification of tree species for their degree of determinacy
DOI: 10.15468/dl.6h5xjr
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "TaxonKey is Ara chloropterus"
 ]
}

 The dataset includes 582 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016777-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3xrfq
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus semicordata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 452 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016778-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.21028.74886
title: 1Глобальная нормализация как перспектива лечения шизофрении и других психических расстройств+.pdf
DOI: 10.15468/dl.qdaeq4
title: Occurrence Download

description: A dataset containing 546 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craspedocephalus trigonocephalus"
 ]
}

 The dataset includes 546 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016779-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkcgfd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.50_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Alces alces",
 "Year 2025-2026"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016780-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxk728
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Minthostachys acris"
 ]
}

 The dataset includes 84 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016781-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8mceb
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fissistigma wallichii",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 127 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016782-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jmq3h
title: Occurrence Download

description: A dataset containing 2075636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Geometry POLYGON((-93.86 29.91,-79.54 29.91,-79.54 35.37,-93.86 35.37,-93.86 29.91))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2075636 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016735-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1488
title: Information about KK05-09

description: Pdf list containing all information collected about this object. For more information see entry in &lt;a href="https://digibus.ub.uni-stuttgart.de/viewer/image/1613408647193/"&gt;Goobi&lt;/a&gt;.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: directional gyro
DOI: 10.18419/darus-1347
title: Information about KK06-09

description: Pdf list containing all information collected about this object. For more information see entry in &lt;a href="https://digibus.ub.uni-stuttgart.de/viewer/image/1615374057246/"&gt;Goobi&lt;/a&gt;.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: directional gyro