cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bxy3gf
title: Occurrence Download

description: A dataset listing the 191 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((114.19953 -2.29828,114.62916 -2.31349,114.64125 -1.81527,114.43758 -1.60609,114.15115 -1.81527,114.19953 -2.29828))",
 "HasGeospatialIssue is false",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset's 191 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012781-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxxjng
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset's 7 records were derived from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012785-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13709745
title: Example data and pretrained Translatomer model
DOI: 10.5281/zenodo.13709746
title: Example data and pretrained Translatomer model
DOI: 10.15468/dl.eh5xas
title: Occurrence Download

description: A dataset containing 10206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "Geometry POLYGON((-75.58913 4.98365,-75.52711 5.01982,-75.38794 5.02132,-75.34408 5.00324,-75.32744 5.02584,-75.33651 5.0831,-75.26844 5.13433,-75.31988 5.12679,-75.36374 5.14789,-75.53316 5.13131,-75.60274 5.1057,-75.66779 5.11173,-75.66627 5.08159,-75.62997 5.07255,-75.60728 5.04995,-75.60728 5.03036,-75.58913 4.98365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10206 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012789-240906103802322/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.26973358
title: Japanese Black Rumen Viral genomes

description: The rumen viral genomes were reconstructed by sequencing virus-like particles in the rumens of 37 Japanese Black cattle. The completeness of viral genomes was assessed using CheckV. The Japanese Black Rumen Viral genomes (JBRV) include 22,942 viral operational taxonomic units (vOTUs) of middle-quality or higher (≥5 kb length and ≥50% completeness).
DOI: 10.6084/m9.figshare.26103866
title: Transcriptomic insights into the effects of different light quality treatments on the volatile organic compounds in <i>Atractylodes lancea</i>

description: <i>Atractylodes lancea</i> rhizomes (ARs) are rich in essential oil, which contains a high amount of volatile organic compounds (VOCs), especially sesquiterpenes. The essential oil of <i>A. lancea</i> has high medicinal and economic value. In this study, we investigated the impact of alteration in light quality on the production and composition of VOCs in <i>A. lancea</i>. We applied red light, blue light, and mixed red and blue light of different ratios (red : blue = 3:1, 6:1, and 9:1) treatment on <i>A. lancea</i> plantlets and analyzed their VOCs by gas chromatography-mass spectrometry (GC-MS). Our results showed that light quality mainly affected the production rather than the composition of VOCs in <i>A. lancea</i>. We identified a total of 27 VOCs in the rhizome, 13 of them were sesquiterpenes. The concentration of sesquiterpenes increased as the proportion of red light increased. We performed transcriptomic analysis and identified differentially expressed genes (DEGs) between the white light group (the control group) and the other groups. These DEGs were enriched in the following pathways: plant-pathogen interaction, endocytosis, plant hormone signal transduction, photosynthesis-antenna proteins, photosynthesis, and circadian rhythm. We analyzed the Pearson correlation between the relative expression of the DEGs and the concentration of the key medicinal component in ARs, atractylon, and verified gene expression by RT-qPCR. The results indicated that the genes <i>WRKY2</i>, and <i>MYC2</i>, <i>HSPs</i>, <i>EBF1, SAUR72, PYL4</i>, and <i>MKK5</i> of the enriched pathways were positively associated with atractylon accumulation.
DOI: 10.6084/m9.figshare.26103866.v1
title: Transcriptomic insights into the effects of different light quality treatments on the volatile organic compounds in <i>Atractylodes lancea</i>

description: <i>Atractylodes lancea</i> rhizomes (ARs) are rich in essential oil, which contains a high amount of volatile organic compounds (VOCs), especially sesquiterpenes. The essential oil of <i>A. lancea</i> has high medicinal and economic value. In this study, we investigated the impact of alteration in light quality on the production and composition of VOCs in <i>A. lancea</i>. We applied red light, blue light, and mixed red and blue light of different ratios (red : blue = 3:1, 6:1, and 9:1) treatment on <i>A. lancea</i> plantlets and analyzed their VOCs by gas chromatography-mass spectrometry (GC-MS). Our results showed that light quality mainly affected the production rather than the composition of VOCs in <i>A. lancea</i>. We identified a total of 27 VOCs in the rhizome, 13 of them were sesquiterpenes. The concentration of sesquiterpenes increased as the proportion of red light increased. We performed transcriptomic analysis and identified differentially expressed genes (DEGs) between the white light group (the control group) and the other groups. These DEGs were enriched in the following pathways: plant-pathogen interaction, endocytosis, plant hormone signal transduction, photosynthesis-antenna proteins, photosynthesis, and circadian rhythm. We analyzed the Pearson correlation between the relative expression of the DEGs and the concentration of the key medicinal component in ARs, atractylon, and verified gene expression by RT-qPCR. The results indicated that the genes <i>WRKY2</i>, and <i>MYC2</i>, <i>HSPs</i>, <i>EBF1, SAUR72, PYL4</i>, and <i>MKK5</i> of the enriched pathways were positively associated with atractylon accumulation.
DOI: 10.5281/zenodo.13318961
title: CrashRepair - Experiment Artifacts and Source Code
DOI: 10.5281/zenodo.13318962
title: CrashRepair - Experiment Artifacts and Source Code
DOI: 10.5281/zenodo.13751398
title: CrashRepair - Experiment Artifacts and Source Code
DOI: 10.15468/dl.p4c8fs
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agonandra excelsa Griseb."
 ]
}

 The dataset includes 427 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012790-240906103802322/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.26695081
title: Data_wooden toy training.xlsx

description: The study explored the impact of wooden toy training on cognitive decline in elderly residents with mild cognitive impairment (MCI) through a two-arm, open-label, cluster-randomized controlled trial.
DOI: 10.6084/m9.figshare.26695081.v1
title: Data_wooden toy training.xlsx

description: The study explored the impact of wooden toy training on cognitive decline in elderly residents with mild cognitive impairment (MCI) through a two-arm, open-label, cluster-randomized controlled trial.
DOI: 10.15468/dl.mufnqt
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((110.2734 20.15901,109.63361 20.07066,109.05028 19.89381,108.55162 19.27331,108.54221 18.5702,108.83388 18.28456,109.59598 18.09685,110.16991 18.33815,110.71561 18.7663,110.98846 19.4331,111.11077 19.69906,111.10136 20.09717,110.84733 20.14134,110.64975 20.2473,110.42394 20.15017,110.2734 20.15901))",
 "TaxonKey is Plecoptera"
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012791-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yh6mrj
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((110.2734 20.15901,109.63361 20.07066,109.05028 19.89381,108.55162 19.27331,108.54221 18.5702,108.83388 18.28456,109.59598 18.09685,110.16991 18.33815,110.71561 18.7663,110.98846 19.4331,111.11077 19.69906,111.10136 20.09717,110.84733 20.14134,110.64975 20.2473,110.42394 20.15017,110.2734 20.15901))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trichoptera"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012792-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsejsm
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((110.2734 20.15901,109.63361 20.07066,109.05028 19.89381,108.55162 19.27331,108.54221 18.5702,108.83388 18.28456,109.59598 18.09685,110.16991 18.33815,110.71561 18.7663,110.98846 19.4331,111.11077 19.69906,111.10136 20.09717,110.84733 20.14134,110.64975 20.2473,110.42394 20.15017,110.2734 20.15901))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ephemeroptera"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012793-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/phr8-cz37
title: Data from Le Gouellec et al. 2024b

description: NIRSpec IFU data of the S68N protostellar core from 1.7 to 5.3 microns.
NIRCAM 140m, 210m, 480m filter of the Serpens Main region.
DOI: 10.25952/awt2-7h11
title: An Empirical Investigation into Disruptive Innovation and Firm Performance in the Telecom and Banking Sectors of Pakistan

description: The purpose of this dataset is to analyse the firm performance of Telecom and Banking sectors and identify their key success factors in the face of disruptive innovation. This dataset is a digital file containing text and numbers which is response of 730 participants who are working in managerial positions in the service industry. At the time of field data collection, the researcher contacted the maximum no of participants and then follow up with the participants for a response to reach our target response rate. Participants were contacted through sending online survey Qualtrics web link, including Participants information sheet, consent and a survey questionnaire, on messenger in each participant account using companies’ official pages on LinkedIn. Moreover, research data helped to ensure the reliability of the study. The data was used to reflect the results and validate the discussion. These data helped to map out the services provided by the Telecom and banking sectors in Pakistan. Finally, the data aimed to clarify the employees’ core competences and firms’ innovative work practices in describing the magnitude of the intensity of the relationship between disruptive innovation and firm performance. Additionally, the prominent themes of research were identified and research gaps explored through data. The questionnaire set was distributed and data were collected between November 2021 and February 2022 for analysis.
description: The purpose of this dataset is to analyse the firm performance of Telecom and Banking sectors and identify their key success factors in the face of disruptive innovation. This dataset is a digital file containing text and numbers which is response of 730 participants who are working in managerial positions in the service industry. At the time of field data collection, the researcher contacted the maximum no of participants and then follow up with the participants for a response to reach our target response rate. Participants were contacted through sending online survey Qualtrics web link, including Participants information sheet, consent and a survey questionnaire, on messenger in each participant account using companies’ official pages on LinkedIn. Moreover, research data helped to ensure the reliability of the study. The data was used to reflect the results and validate the discussion. These data helped to map out the services provided by the Telecom and banking sectors in Pakistan. Finally, the data aimed to clarify the employees’ core competences and firms’ innovative work practices in describing the magnitude of the intensity of the relationship between disruptive innovation and firm performance. Additionally, the prominent themes of research were identified and research gaps explored through data. The questionnaire set was distributed and data were collected between November 2021 and February 2022 for analysis.
DOI: 10.5281/zenodo.13745236
title: aaed
DOI: 10.5281/zenodo.13745235
title: aaed

description: Project Code: QCA-2024-SCC

This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.13751340
title: aaed

description: Project Code: QCA-2024-SCC

This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.15468/dl.5rftd6
title: Occurrence Download

description: A dataset containing 12869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.74784 32.71282,-114.90516 32.66121,-114.87686 32.60045,-114.90849 32.56715,-114.93929 32.43647,-114.89517 32.36405,-114.80278 32.37321,-114.65545 32.37737,-114.69707 32.45894,-114.80278 32.48558,-114.80112 32.54218,-114.76283 32.63291,-114.72537 32.70949,-114.74784 32.71282))",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 12869 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012795-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9eaf72
title: Occurrence Download

description: A dataset containing 88156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 88156 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012798-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pk22u
title: Occurrence Download

description: A dataset containing 1062160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1062160 records from 1446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012796-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.187gdo
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Distribution of benthic foraminifera in Eocene-Oligocene sediments of DSDP Hole 12-119 in the Bay of Biscay"
 ]
}

 The dataset includes 204 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011152-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hzsd3
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guatteria alata Maas & van Setten"
 ]
}

 The dataset includes 55 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003042-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vtnge
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Nigeria",
 "TaxonKey is Gyps africanus Salvadori, 1865"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046549-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hk7ga
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gomesa microphyta (Barb.Rodr.) M.W.Chase & N.H.Williams"
 ]
}

 The dataset includes 121 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162434-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwm9z9
title: Occurrence Download

description: A dataset containing 660880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 0,180 0,180 90,-180 90,-180 0))",
 "OccurrenceStatus is Present",
 "TaxonKey is Poa trivialis L."
 ]
}

 The dataset includes 660880 records from 811 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295010-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ig8vvd
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tacinga braunii Esteves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011152-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cv89z
title: Occurrence Download

description: A dataset containing 31 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 Fejervarya sakishimensis Matsui, Toda & Ota, 2008"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046570-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xumjg
title: Occurrence Download

description: A dataset containing 351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.21289 -32.56163,-77.43164 -54.9877,-63.12744 -55.48096,-71.2793 -48.47001,-70.59814 -42.82471,-69.12598 -33.44238,-68.81836 -33.15227,-73.21289 -32.56163))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Drimys winteri J.R.Forst. & G.Forst."
 ]
}

 The dataset includes 351 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043795-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e672ta
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrcia ovalis (O.Berg) N.Silveira"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011152-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w6zva
title: Occurrence Download

description: A dataset containing 2140101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Acacia glauca Linnaeus, 1753, Alisma plantago-aquatica L., Galium palustre L., Holcus annuus Salzm. ex C.A.Mey., Leucanthemum vulgare Lam., Rumex acetosella L., Vicia cracca L.)"
 ]
}

 The dataset includes 2140101 records from 1753 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035004-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14163699
title: Data and code for the paper "Genetic and Iterative Metaheuristics-informed Algorithms for Precision Shallow Groundwater Modeling and Drought Inference"

description: exemplary dataset for 2019 yearly water table measurements in Northeaster Italy

MATLAB code for the pre-processing GA-driven and the post-processing iterative validation part
DOI: 10.5281/zenodo.15648975
title: Data and code for the paper "Genetic and Iterative Metaheuristics-informed Algorithms for Precision Shallow Groundwater Modeling and Drought Inference"

description: exemplary dataset for 2019 yearly water table measurements in Northeaster Italy

MATLAB code for the pre-processing GA-driven and the post-processing iterative validation part
DOI: 10.15468/dl.jtnay5
title: Occurrence Download

description: A dataset containing 3233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "TaxonKey is Potamogeton amplifolius"
 ]
}

 The dataset includes 3233 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019929-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17775144
title: Predicting Lattice Parameters from Atomic-Scale Images of Two Dimensional Materials Using Deep Learning

description: Sayak Chakrabarty, Kamal Choudhary, Daniel Wines, Youjia Li, Vishu Gupta, Muhammed Nur Talha Kilic, Alok Choudhary & Ankit Agrawal, “Predicting Lattice Parameters from Atomic-Scale Images of Two-Dimensional (2D) Materials Using Deep Learning,” The Journal of Physical Chemistry C, 2025.
DOI: 10.5281/zenodo.17775145
title: Predicting Lattice Parameters from Atomic-Scale Images of Two Dimensional Materials Using Deep Learning

description: Sayak Chakrabarty, Kamal Choudhary, Daniel Wines, Youjia Li, Vishu Gupta, Muhammed Nur Talha Kilic, Alok Choudhary & Ankit Agrawal, “Predicting Lattice Parameters from Atomic-Scale Images of Two-Dimensional (2D) Materials Using Deep Learning,” The Journal of Physical Chemistry C, 2025.