cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17979717
title: The rare bile acid isoallolithocholic acid (IALCA) is an EphA2 antagonist sparing FXR and TGR5 receptors

description: Supplementary data :

S1: NMR analysis of IALCA

S2: Computational Studies

S3: Synthesis and chemical characterization of UniPR1466

S4: raw data of binding (reversibility, displacement and saturation studies), Hill slope calculation for UniPR1466 and cell viability via MTT

S5: Superimposition of UPR1466 to EphA2
DOI: 10.57745/qssosc
title: ProjectData.ods

description: :unav
DOI: 10.57745/y3tkga
title: DataArticle_VariableDescription.ods

description: :unav
DOI: 10.57745/hy7nu8
title: README.txt

description: :unav
DOI: 10.57745/ruyshd
title: Dataset from a study collecting word learning measures to investigate the cognitive mechanisms involved in word learning in kindergarten students from low socioeconomic backgrounds.

description: These data were collected to investigate the time course of word learning in kindergarten children from low socioeconomic status (SES) backgrounds in order to better understand the cognitive mechanisms underlying vocabulary learning in this population. The dataset comprises the performance of 5-year-old children from low-SES backgrounds on word learning tasks measuring different word knowledge dimensions (word production, word recognition, semantic association, and phonological judgement) following a three-week vocabulary intervention at three time points: immediately, 24 hours, and multiple days post-intervention.
DOI: 10.15468/dl.t7ag6t
title: Occurrence Download

description: A dataset containing 4405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sapindus saponaria",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4405 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006791-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6egyek
title: Occurrence Download

description: A dataset containing 2724506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Milvus migrans"
 ]
}

 The dataset includes 2724506 records from 3980 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006733-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.seb92c
title: Occurrence Download

description: A dataset containing 23954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer tataricum L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 23954 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010343-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15276465
title: Energy system model data for "Climate2Energy: a framework to consistently include climate change risk into energy system modeling"

description: This dataset provides the input data, code, and results of the energy system model in "Climate2Energy: a framework to consistently include climate change risk into energy system modeling".

The time-series input data computed by the Climate2Energy tool and converted into the input format of the energy model is located in the "timeSeries" folder. The aggregated results are in the "results" folder. All other folders provide the remaining input data. The file "runBenders.jl" is the script to compute results using the distributed solution algorithm of the Julia AnyMOD.jl used for computing the results. The documentation of the tool provides further information, particularly on the input and results format: https://leonardgoeke.github.io/AnyMOD.jl/stable/
DOI: 10.5281/zenodo.15276466
title: Energy system model data for "Climate2Energy: a framework to consistently include climate change risk into energy system modeling"

description: This dataset provides the input data, code, and results of the energy system model in "Climate2Energy: a framework to consistently include climate change risk into energy system modeling".

The time-series input data computed by the Climate2Energy tool and converted into the input format of the energy model is located in the "timeSeries" folder. The aggregated results are in the "results" folder. All other folders provide the remaining input data. The file "runBenders.jl" is the script to compute results using the distributed solution algorithm of the Julia AnyMOD.jl used for computing the results. The documentation of the tool provides further information, particularly on the input and results format: https://leonardgoeke.github.io/AnyMOD.jl/stable/
DOI: 10.15468/dl.36z4gq
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Phrynops tuberosus (Peters, 1870)"
 ]
}

 The dataset includes 34 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001941-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2790961
title: 2013 - London - Plots - L1 -NK

description: 2013 - London - Plots - L1 -NK | Meta data for LUMA: https://zenodo.org/deposit/2649165
DOI: 10.5281/zenodo.2790962
title: 2013 - London - Plots - L1 -NK

description: 2013 - London - Plots - L1 -NK | Meta data for LUMA: https://zenodo.org/deposit/2649165
DOI: 10.15468/dl.vcghqp
title: Occurrence Download

description: A dataset containing 48947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus radiata D.Don)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 48947 records from 237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014323-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zep4hr
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pavonia dasypetala Turcz."
 ]
}

 The dataset includes 284 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014326-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxny6m
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anotosaura Amaral, 1933"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014325-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33gnps
title: Occurrence Download

description: A dataset containing 3069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus thunbergii Parl.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3069 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014324-250525065834625/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.29207510
title: <b>Identification and Evaluation of Phytochemicals as Potential Inhibitors for Lung Cancer Targeting EGFR Exon-19 Deletion: A Comprehensive Study Utilizing Computational Biology Approaches</b>

description: Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, accounting for approximately 80% of all lung cancer cases. Epidermal growth factor receptor (EGFR) exon-19 deletion mutations are mutations of EGFR most commonly found in (NSCLC). Even though there are many EGFR inhibitor medications on the market, prolonged use of these medications causes resistance. Therefore, the goal of the current study was to screen for possible inhibitors using computer-aided drug design approaches. Initial virtual screening for 31 anti-cancer compounds was performed against the EGFR exon-19 deletion mutated protein. Molecular docking was conducted to understand their affinities compared to the control inhibitor, Gefitinib. The ADMET (absorption, distribution, metabolism, excretion, and toxicity) predictions were performed to assess the pharmacokinetics and safety of the best-performing compounds. The best candidates were further investigated through 100 ns molecular dynamics (MD) simulations to evaluate the stability of the interactions with the target protein. Among all compounds, seven compounds showed higher binding affinity compared to Gefitinib (control drug). Following favorable ADME and toxicity predictions, Epigallocatechin Gallate, Kaempferol, and Apigenin are selected as the top candidates. Finally, 100ns MD simulations revealed stable interactions of these compounds with the EGFR mutant in comparison to Gefitinib. Our findings suggest that these naturally derived compounds could serve as potential therapeutic agents in the treatment of NSCLC. However, further validation through in vitro and in vivo studies is necessary to confirm the efficacy of these compounds.
DOI: 10.6084/m9.figshare.29207510.v1
title: <b>Identification and Evaluation of Phytochemicals as Potential Inhibitors for Lung Cancer Targeting EGFR Exon-19 Deletion: A Comprehensive Study Utilizing Computational Biology Approaches</b>

description: Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, accounting for approximately 80% of all lung cancer cases. Epidermal growth factor receptor (EGFR) exon-19 deletion mutations are mutations of EGFR most commonly found in (NSCLC). Even though there are many EGFR inhibitor medications on the market, prolonged use of these medications causes resistance. Therefore, the goal of the current study was to screen for possible inhibitors using computer-aided drug design approaches. Initial virtual screening for 31 anti-cancer compounds was performed against the EGFR exon-19 deletion mutated protein. Molecular docking was conducted to understand their affinities compared to the control inhibitor, Gefitinib. The ADMET (absorption, distribution, metabolism, excretion, and toxicity) predictions were performed to assess the pharmacokinetics and safety of the best-performing compounds. The best candidates were further investigated through 100 ns molecular dynamics (MD) simulations to evaluate the stability of the interactions with the target protein. Among all compounds, seven compounds showed higher binding affinity compared to Gefitinib (control drug). Following favorable ADME and toxicity predictions, Epigallocatechin Gallate, Kaempferol, and Apigenin are selected as the top candidates. Finally, 100ns MD simulations revealed stable interactions of these compounds with the EGFR mutant in comparison to Gefitinib. Our findings suggest that these naturally derived compounds could serve as potential therapeutic agents in the treatment of NSCLC. However, further validation through in vitro and in vivo studies is necessary to confirm the efficacy of these compounds.
DOI: 10.6084/m9.figshare.29207522
title: Data Set of CNSNP

description: Data set for CNSNP patients.
DOI: 10.6084/m9.figshare.29207522.v1
title: Data Set of CNSNP

description: Data set for CNSNP patients.
DOI: 10.15468/dl.k486qv
title: Occurrence Download

description: A dataset containing 20440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pistia stratiotes L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 20440 records from 506 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014327-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15566317
title: Subsovereign Finance as Discipline: A Critical Macro-Finance Perspective on U.S. Territorial Markets

description: Subsovereign Finance as Discipline: A Critical Macro-Finance Perspective on U.S. Territorial Markets

DOI: 10.5281/zenodo.15566317Resource Type: DatasetPublication Date: 2025-05-31Author: AnonLicense: Creative Commons Attribution 4.0 International (CC BY 4.0)Copyright: © 2025 The AuthorsProgramming Language: PythonRepository Status: Active, replicablePublisher: ZenodoVersion: 1.0

Description

This dataset and code repository support the macro-financial empirical study: Illiquidity Without Democracy, which analyzes the UBS Puerto Rico bond fund crisis through a critical macro-finance lens. By compiling liquidity and return data from the full Dow 30 alongside Puerto Rican financial equities, the project investigates how symbolic liquidity withdrawal operates as an instrument of financial subjugation in colonially governed markets.

The uploaded materials include:





35 Excel files containing firm-level trading data (Dow 30 and PR equities)




A Python script (cmf.py) implementing Amihud illiquidity and Fama–MacBeth regressions




A README.md file with detailed reproducibility instructions



Grounded in Bonizzi et al. (2022), this work contributes to the theory of financialized colonialism, where credit ratings, liquidity signals, and bond pricing are not merely technical indicators—but expressions of asymmetrical power. Our analysis empirically substantiates that liquidity constraints for Puerto Rican firms intensified during key institutional moments, revealing systemic exclusion embedded in neoliberal financial governance.

Keywords





Financialized colonialism




Critical macro-finance




Market microstructure




Illiquidity




Fama–MacBeth regression




Puerto Rico debt crisis




UBS bond fund




Neoliberalism




Event study




Dow 30




Amihud illiquidity
DOI: 10.15468/dl.8737ga
title: Occurrence Download

description: A dataset containing 40196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pittosporum undulatum Vent.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 40196 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014328-250525065834625/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/12028716
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.6084/m9.figshare.29207531
title: Data for the DEMATEL Analisis for HPVC

description: This file provides data for DEMATEL analysis for the paper-<b>Modeling of Behavioral Factors Affecting Halal Pharmaceutical Value Chain</b>.
DOI: 10.6084/m9.figshare.29207531.v1
title: Data for the DEMATEL Analisis for HPVC

description: This file provides data for DEMATEL analysis for the paper-<b>Modeling of Behavioral Factors Affecting Halal Pharmaceutical Value Chain</b>.
DOI: 10.15468/dl.7kqtp2
title: Occurrence Download

description: A dataset containing 5290883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 5290883 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014322-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qd9ve5
title: Occurrence Download

description: A dataset containing 49039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artocarpus heterophyllus Lam.",
 "Year 1859-2025"
 ]
}

 The dataset includes 49039 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014331-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36a76z
title: Occurrence Download

description: A dataset containing 664880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poa pratensis L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 664880 records from 2985 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014329-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq797c
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.28626 44.17082,7.28682 44.14789,7.31999 44.14823,7.31947 44.17551,7.31001 44.17559,7.2869 44.17504,7.28626 44.17082))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 330 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025493-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46k9t3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alestes stuhlmannii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025494-250811113504898/datasets/export for details.
DOI: 10.15468/dl.erxmbb
title: Occurrence Download

description: A dataset containing 73035 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasiphora fruticosa"
 ]
}

 The dataset includes 73035 records from 656 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025456-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v58xus
title: Occurrence Download

description: A dataset containing 1252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sepioteuthis australis",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 1252 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005645-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dz2yy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Filisoma indicum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005646-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18412393
title: Inferring biodiversity from indicator species using co-occurrence network structure

description:  




The first dataset consists of occurrence data for a bird community network from the Côte-Nord region of Québec, Canada (48–53°N, 65–71°W), based on presence–absence records collected during the breeding season between 2010 and 2018 as part of the Atlas of Breeding Birds of Québec. The second dataset comprises occurrence data for 146 beetle species sampled across northern sites in the study region using complementary trapping methods targeting both flying and ground-dwelling species. This independent beetle assemblage was used to externally validate the generality of the reconstruction framework.
DOI: 10.5281/zenodo.18412394
title: Inferring biodiversity from indicator species using co-occurrence network structure

description:  




The first dataset consists of occurrence data for a bird community network from the Côte-Nord region of Québec, Canada (48–53°N, 65–71°W), based on presence–absence records collected during the breeding season between 2010 and 2018 as part of the Atlas of Breeding Birds of Québec. The second dataset comprises occurrence data for 146 beetle species sampled across northern sites in the study region using complementary trapping methods targeting both flying and ground-dwelling species. This independent beetle assemblage was used to externally validate the generality of the reconstruction framework.
DOI: 10.15468/dl.dhu7w2
title: Occurrence Download

description: A dataset containing 22137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes albopictus occurrence"
 ]
}

 The dataset includes 22137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005647-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18376795
title: Dataset related to "How resilient are inland and marine environments to extreme events? 2023 Emilia-Romagna flood insights"

description: This dataset contains environmental, hydrological, and biological data collected in inland and coastal marine environments affected by the May 2023 Emilia-Romagna flood (Italy).

Data are organized following an event-based structure, with each sampling event uniquely identified and associated with multiple measurements, including physicochemical, hydrological, and biological variables.

The dataset supports the analyses presented in a study investigating ecosystem responses to extreme hydrometeorological events and is intended to ensure transparency and reproducibility of the results.

Raw metabarcoding sequencing data associated with this study are deposited in the European Nucleotide Archive under BioProject accession PRJEB107152.
DOI: 10.5281/zenodo.18376796
title: Dataset related to "How resilient are inland and marine environments to extreme events? 2023 Emilia-Romagna flood insights"

description: This dataset contains environmental, hydrological, and biological data collected in inland and coastal marine environments affected by the May 2023 Emilia-Romagna flood (Italy).

Data are organized following an event-based structure, with each sampling event uniquely identified and associated with multiple measurements, including physicochemical, hydrological, and biological variables.

The dataset supports the analyses presented in a study investigating ecosystem responses to extreme hydrometeorological events and is intended to ensure transparency and reproducibility of the results.

Raw metabarcoding sequencing data associated with this study are deposited in the European Nucleotide Archive under BioProject accession PRJEB107152.