cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u6ftvd
title: Occurrence Download

description: A dataset containing 4241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((78.1046 26.1666, 78.2679 26.1666, 78.2679 26.29305, 78.1046 26.29305, 78.1046 26.1666))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 4241 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018578-241024112534372/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.27094087
title: Tsuyuki_et_al_2024_Boninia_28S18S16SCOI_BI

description: This tree was reconstructed using MrBayes ver. 3.2.3 (Ronquist and Huelsenbeck 2003; Altekar <i>et al.</i> 2004) with two independent runs of Metropolis-coupled Markov chain Monte Carlo, each consisting of four chains of 5,000,000 generations. A more detail method is available in Tsuyuki et al. (2024).
DOI: 10.6084/m9.figshare.27094087.v1
title: Tsuyuki_et_al_2024_Boninia_28S18S16SCOI_BI

description: This tree was reconstructed using MrBayes ver. 3.2.3 (Ronquist and Huelsenbeck 2003; Altekar <i>et al.</i> 2004) with two independent runs of Metropolis-coupled Markov chain Monte Carlo, each consisting of four chains of 5,000,000 generations. A more detail method is available in Tsuyuki et al. (2024).
DOI: 10.6084/m9.figshare.27093994
title: Tsuyuki_et_al_2024_Boninia_28S18S16SCOI_ML

description: This phylogenetic tree was reconstructed using IQTree ver. 1.6 (Nguyen et al. 2015) under a partition model (Chernomor et al. 2016). A more detail method for the maximum-likelihood (ML) analysis is available in Tsuyuki et al. (2024).
DOI: 10.6084/m9.figshare.27093994.v1
title: Tsuyuki_et_al_2024_Boninia_28S18S16SCOI_ML

description: This phylogenetic tree was reconstructed using IQTree ver. 1.6 (Nguyen et al. 2015) under a partition model (Chernomor et al. 2016). A more detail method for the maximum-likelihood (ML) analysis is available in Tsuyuki et al. (2024).
DOI: 10.6084/m9.figshare.27093814
title: Tsuyuki_et_al_2024_Boninia_28S18S16SCOI_dataset.fas

description: This is a concatenated dataset of 28S rDNA, 18S rDNA, 16S rDNA, and cytochrome <i>c</i> oxidase subunit I (COI) sequences used for molecular phylogenetic analyses conducted by Tsuyuki et al. (2024). The partitions of genes are following:<br>28S rDNA = 1-960<br>18S rDNA = 961-269616S rDNA = 2697-3061<br>COI = 3062-3773Before concatenating the sequences of the four genes, the sequences of 28S rDNA, 18S rDNA, and 16S rDNA were aligned using MAFFT ver.7.427 (Katoh <i>et al.</i> 2017), with the FFT-NS-i strategy selected by “Auto” option, then trimmed using Clipkit ver. 1.0 using the “kpic” option (Steenwyk <i>et al.</i> 2020). The sequence of COI was manually aligned and not trimmed. The OTUs included in this dataset are shown in Tsuyuki et al. (2024).
DOI: 10.6084/m9.figshare.27093814.v1
title: Tsuyuki_et_al_2024_Boninia_28S18S16SCOI_dataset.fas

description: This is a concatenated dataset of 28S rDNA, 18S rDNA, 16S rDNA, and cytochrome <i>c</i> oxidase subunit I (COI) sequences used for molecular phylogenetic analyses conducted by Tsuyuki et al. (2024). The partitions of genes are following:<br>28S rDNA = 1-960<br>18S rDNA = 961-269616S rDNA = 2697-3061<br>COI = 3062-3773Before concatenating the sequences of the four genes, the sequences of 28S rDNA, 18S rDNA, and 16S rDNA were aligned using MAFFT ver.7.427 (Katoh <i>et al.</i> 2017), with the FFT-NS-i strategy selected by “Auto” option, then trimmed using Clipkit ver. 1.0 using the “kpic” option (Steenwyk <i>et al.</i> 2020). The sequence of COI was manually aligned and not trimmed. The OTUs included in this dataset are shown in Tsuyuki et al. (2024).
DOI: 10.15468/dl.x5x5x5
title: Occurrence Download

description: A dataset containing 17362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((79.45331 29.15684, 79.55397 29.15684, 79.55397 29.27609, 79.45331 29.27609, 79.45331 29.15684))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 17362 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018579-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwqkwh
title: Occurrence Download

description: A dataset containing 8649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dioscorea Plum. ex L."
 ]
}

 The dataset includes 8649 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018580-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dsbnd
title: Occurrence Download

description: A dataset containing 801 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Notothylas orbicularis (Schwein.) Sull., Notothylas orbicularis (Schwein.) Sull. ex A.Gray, Notothylas orbicularis var. pseudotemperata R.M.Schust., Notothylas orbicularis var. orbicularis)"
 ]
}

 The dataset includes 801 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018581-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n28wsq
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((79.354 28.95254, 79.44884 28.95254, 79.44884 29.02914, 79.354 29.02914, 79.354 28.95254))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 241 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018582-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mncgg2
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((78.54258 27.0782, 78.62132 27.0782, 78.62132 27.12893, 78.54258 27.12893, 78.54258 27.0782))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 738 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018583-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rwbbt
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((75.71913 18.96942, 75.78343 18.96942, 75.78343 19.01899, 75.71913 19.01899, 75.71913 18.96942))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 47 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018584-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnapjc
title: Occurrence Download

description: A dataset containing 2330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((79.09391 27.99262, 79.17239 27.99262, 79.17239 28.06047, 79.09391 28.06047, 79.09391 27.99262))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 2330 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018585-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbeqzh
title: Occurrence Download

description: A dataset containing 15189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((79.33965 28.28959, 79.51116 28.28959, 79.51116 28.45093, 79.33965 28.45093, 79.33965 28.28959))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 15189 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018586-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14027558
title: 10X Single Cell RNA-Seq On WT and Mutation mouse models

description: Four four-week-old mice, consisting of wild type, Pten mutation, MAP3K3 mutation, and MAP3K3+Pten mutation, were sampled at 4 weeks of age. Endothelial cells were enriched using CD31 magnetic beads, followed by 10X single-cell RNA sequencing.
DOI: 10.5281/zenodo.14027559
title: 10X Single Cell RNA-Seq On WT and Mutation mouse models

description: Four four-week-old mice, consisting of wild type, Pten mutation, MAP3K3 mutation, and MAP3K3+Pten mutation, were sampled at 4 weeks of age. Endothelial cells were enriched using CD31 magnetic beads, followed by 10X single-cell RNA sequencing.
DOI: 10.15468/dl.gwejbm
title: Occurrence Download

description: A dataset containing 62750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((74.96226 15.38911, 75.08579 15.38911, 75.08579 15.47933, 74.96226 15.47933, 74.96226 15.38911))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 62750 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018588-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.antr8p
title: Occurrence Download

description: A dataset containing 695 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Endemic Insects of Vietnam"
 ]
}

 The dataset includes 695 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018589-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgdny9
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((73.47645 4.166562, 73.53782 4.166562, 73.53782 4.198946, 73.47645 4.198946, 73.47645 4.166562))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 369 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018590-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7vy74
title: Occurrence Download

description: A dataset listing the 86 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is TPWD HARC Texas Coastal Fisheries Sabine Lake Bag Seine"
 ]
}

 The dataset's 86 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018587-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pa7eu6
title: Occurrence Download

description: A dataset containing 65127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((77.31894 23.14673, 77.51271 23.14673, 77.51271 23.3305, 77.31894 23.3305, 77.31894 23.14673))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 65127 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018591-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7b87y
title: Occurrence Download

description: A dataset containing 1904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((76.52567 20.68314, 76.59586 20.68314, 76.59586 20.74122, 76.52567 20.74122, 76.52567 20.68314))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1904 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018593-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e125703
title: Data and Code for: "Local Protectionism, Market Structure, and Social Welfare: China's Automobile Market"

description: This study documents the presence of local protectionism and quantifies its impacts on market competition and social welfare in the context of China's automobile market. A salient feature of China's auto market is that vehicle models by joint ventures (JVs) and state-owned enterprises (SOEs) command much higher market shares in their headquarter provinces than at the national level. Through county border analysis, falsification tests, and a consumer survey, we uncover protectionist policies such as subsidies to local brands as the primary contributing factor to the observed home bias. We then set up and estimate a market equilibrium model to quantify the impact of local protection, controlling for other demand and supply factors. Counterfactual analysis shows that local protection leads to significant consumer choice distortions and results in 21.9 billion yuan of consumer welfare loss, amounting to 41% of total subsidy. Provincial governments face a prisoner's dilemma: local protection reduces aggregate social welfare, but provincial governments have no incentive to unilaterally remove local protection.
DOI: 10.3886/e125703v1-157941
title: Data and Code for: "Local Protectionism, Market Structure, and Social Welfare: China's Automobile Market"

description: This study documents the presence of local protectionism and quantifies its impacts on market competition and social welfare in the context of China's automobile market. A salient feature of China's auto market is that vehicle models by joint ventures (JVs) and state-owned enterprises (SOEs) command much higher market shares in their headquarter provinces than at the national level. Through county border analysis, falsification tests, and a consumer survey, we uncover protectionist policies such as subsidies to local brands as the primary contributing factor to the observed home bias. We then set up and estimate a market equilibrium model to quantify the impact of local protection, controlling for other demand and supply factors. Counterfactual analysis shows that local protection leads to significant consumer choice distortions and results in 21.9 billion yuan of consumer welfare loss, amounting to 41% of total subsidy. Provincial governments face a prisoner's dilemma: local protection reduces aggregate social welfare, but provincial governments have no incentive to unilaterally remove local protection.
DOI: 10.15468/dl.sd5v8c
title: Occurrence Download

description: A dataset containing 330545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((74.67571 13.30156, 74.81388 13.30156, 74.81388 13.39146, 74.67571 13.39146, 74.67571 13.30156))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 330545 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018594-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14027631
title: QCA-2024-SCC-GC24706 R&D data

description: Project Code: QCA-2024-SCC-GC24706.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.14027632
title: QCA-2024-SCC-GC24706 R&D data

description: Project Code: QCA-2024-SCC-GC24706.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: 10.6084/m9.figshare.27500001
title: Raw Data

description: This research investigates how varied teaching methods, instructor support, and student innovation contribute to learning outcomes among Public Administration students at Suan Sunandha Rajabhat University. The study gathered data from 233 students through structured online questionnaires and analyzed the results using Structural Equation Modelling (SEM) in SmartPLS 4. The primary focus was on assessing whether different teaching techniques, such as simulations and group work, enhance creativity and practical engagement among students. Findings indicate that diverse teaching activities are effective in stimulating creativity, while strong instructor support plays a crucial role in enhancing students' creative problem-solving skills. These combined approaches enable students to bridge theoretical knowledge with real-world applications, fostering student-led innovation. However, an interesting outcome of the study was that student innovation did not mediate the relationship between teaching methods and learning outcomes. This unexpected result suggests that factors beyond student innovation—potentially including intrinsic motivation or an optimized learning environment—may also influence the link between teaching methods and learning outcomes. The study underscores the importance of adopting innovative teaching techniques and motivational strategies to unlock students' learning potential and boost the academic prominence of Public Administration students. This insight emphasizes the value of an engaging learning environment where students are empowered to apply theoretical insights practically, contributing to both academic growth and skill development.
DOI: 10.6084/m9.figshare.27500001.v1
title: Raw Data

description: This research investigates how varied teaching methods, instructor support, and student innovation contribute to learning outcomes among Public Administration students at Suan Sunandha Rajabhat University. The study gathered data from 233 students through structured online questionnaires and analyzed the results using Structural Equation Modelling (SEM) in SmartPLS 4. The primary focus was on assessing whether different teaching techniques, such as simulations and group work, enhance creativity and practical engagement among students. Findings indicate that diverse teaching activities are effective in stimulating creativity, while strong instructor support plays a crucial role in enhancing students' creative problem-solving skills. These combined approaches enable students to bridge theoretical knowledge with real-world applications, fostering student-led innovation. However, an interesting outcome of the study was that student innovation did not mediate the relationship between teaching methods and learning outcomes. This unexpected result suggests that factors beyond student innovation—potentially including intrinsic motivation or an optimized learning environment—may also influence the link between teaching methods and learning outcomes. The study underscores the importance of adopting innovative teaching techniques and motivational strategies to unlock students' learning potential and boost the academic prominence of Public Administration students. This insight emphasizes the value of an engaging learning environment where students are empowered to apply theoretical insights practically, contributing to both academic growth and skill development.
DOI: 10.15468/dl.63vdev
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((78.98756 27.19657, 79.08132 27.19657, 79.08132 27.25578, 78.98756 27.25578, 78.98756 27.19657))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018596-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhu8ag
title: Occurrence Download

description: A dataset containing 604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((78.74845 26.53766, 78.82339 26.53766, 78.82339 26.58829, 78.74845 26.58829, 78.74845 26.53766))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 604 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018597-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.