cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y7xb5c
title: Occurrence Download

description: A dataset containing 1653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphausiidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1653 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027033-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quuvz4
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Cremanthodium sagittifolium Y.Ling & Y.L.Chen)"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027036-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5r2bns
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rorippa calycina (Engelm.) Rydb."
 ]
}

 The dataset includes 79 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027037-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqbt6r
title: Occurrence Download

description: A dataset containing 774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pasiphaeidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 774 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027039-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hc9kh
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rorippa columbiae (Suksd. ex B.L.Rob.) Suksd. ex Howell"
 ]
}

 The dataset includes 392 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027040-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h25ztf
title: Occurrence Download

description: A dataset containing 2139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oikopleuridae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2139 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027041-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q22wb3
title: Occurrence Download

description: A dataset containing 1714 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rorippa curvipes Greene"
 ]
}

 The dataset includes 1714 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027042-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gd9cs
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Living Specimen, Material citation, Material sample, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Diabolocatantops pinguis (Stål, 1861)"
 ]
}

 The dataset includes 97 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027043-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5n6cxg
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rorippa microtitis (B.L.Rob.) Rollins"
 ]
}

 The dataset includes 144 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027044-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ey8hj
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Cremanthodium smithianum Hand.-Mazz.)"
 ]
}

 The dataset includes 76 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027046-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b53tb8
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rorippa subumbellata Rollins"
 ]
}

 The dataset includes 259 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027047-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwbb86
title: Occurrence Download

description: A dataset containing 11124621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "GadmGid is ECU",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11124621 records from 1116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027038-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7yttk
title: Occurrence Download

description: A dataset containing 235035 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is HUEFS herbarium - Universidade Estadual de Feira de Santana - Herbário Virtual REFLORA"
 ]
}

 The dataset includes 235035 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019911-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nzaeu
title: Occurrence Download

description: A dataset containing 237179 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Leicestershire and Rutland Environmental Records Centre records 2015-2019"
 ]
}

 The dataset includes 237179 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019909-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f62tz6
title: Occurrence Download

description: A dataset containing 234186 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FLORUS: miscellaneous records"
 ]
}

 The dataset includes 234186 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019910-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e193705v1-175061
title: Data and Code for: Noise, Cognitive Function, and Worker Productivity

description: This is the data and code needed to replicate the results in Noise, Cognitive Function, and Worker Productivity.<br><br>Paper Abstract:<br>Cognitive science research suggests the noisy workplaces common in low and middle income countries can impair workers’ cognitive functions. However, whether this translates into lower earnings for workers depends on the importance of these functions for productivity and whether workers understand these effects. I use two randomized experiments in Nairobi, Kenya to answer these questions. First, I randomize exposure to engine noise during a textile training course at a government training facility. An increase of 7 dB reduces productivity by approximately 3%. In order to study what mechanism drives this effect, I then randomize engine noise during tests of cognitive function and an effort task. The same noise change impairs cognitive function but not effort task performance. Finally, in both experiments, I examine whether individuals appreciate the impact of noise on their performance by eliciting participants’ willingness to pay for quiet working conditions while randomly varying whether they are compensated based on their performance. Individuals’ willingness to pay does not depend on the wage structure; suggesting that they are not aware that quiet working conditions would increase their performance pay. Thus, workers may fail to mitigate earnings losses by sorting into quieter jobs where they are more productive.
description: Individuals seeking work at textile factories in Athi River
description: Textile workers in Nairobi, Kenya. Smallest Geographic Unit: Individuals
description: cognitive assessment test; face-to-face interview;
DOI: 10.3886/e193705v1-175062
title: Data and Code for: Noise, Cognitive Function, and Worker Productivity

description: This is the data and code needed to replicate the results in Noise, Cognitive Function, and Worker Productivity.<br><br>Paper Abstract:<br>Cognitive science research suggests the noisy workplaces common in low and middle income countries can impair workers’ cognitive functions. However, whether this translates into lower earnings for workers depends on the importance of these functions for productivity and whether workers understand these effects. I use two randomized experiments in Nairobi, Kenya to answer these questions. First, I randomize exposure to engine noise during a textile training course at a government training facility. An increase of 7 dB reduces productivity by approximately 3%. In order to study what mechanism drives this effect, I then randomize engine noise during tests of cognitive function and an effort task. The same noise change impairs cognitive function but not effort task performance. Finally, in both experiments, I examine whether individuals appreciate the impact of noise on their performance by eliciting participants’ willingness to pay for quiet working conditions while randomly varying whether they are compensated based on their performance. Individuals’ willingness to pay does not depend on the wage structure; suggesting that they are not aware that quiet working conditions would increase their performance pay. Thus, workers may fail to mitigate earnings losses by sorting into quieter jobs where they are more productive.
description: Individuals seeking work at textile factories in Athi River
description: Textile workers in Nairobi, Kenya. Smallest Geographic Unit: Individuals
description: cognitive assessment test; face-to-face interview;
DOI: 10.3886/e193705
title: Data and Code for: Noise, Cognitive Function, and Worker Productivity

description: This is the data and code needed to replicate the results in Noise, Cognitive Function, and Worker Productivity.<br><br>Paper Abstract:<br>Cognitive science research suggests the noisy workplaces common in low and middle income countries can impair workers’ cognitive functions. However, whether this translates into lower earnings for workers depends on the importance of these functions for productivity and whether workers understand these effects. I use two randomized experiments in Nairobi, Kenya to answer these questions. First, I randomize exposure to engine noise during a textile training course at a government training facility. An increase of 7 dB reduces productivity by approximately 3%. In order to study what mechanism drives this effect, I then randomize engine noise during tests of cognitive function and an effort task. The same noise change impairs cognitive function but not effort task performance. Finally, in both experiments, I examine whether individuals appreciate the impact of noise on their performance by eliciting participants’ willingness to pay for quiet working conditions while randomly varying whether they are compensated based on their performance. Individuals’ willingness to pay does not depend on the wage structure; suggesting that they are not aware that quiet working conditions would increase their performance pay. Thus, workers may fail to mitigate earnings losses by sorting into quieter jobs where they are more productive.
description: Individuals seeking work at textile factories in Athi River
description: Textile workers in Nairobi, Kenya. Smallest Geographic Unit: Individuals
description: cognitive assessment test; face-to-face interview;
DOI: 10.3886/e193705v1-175063
title: Data and Code for: Noise, Cognitive Function, and Worker Productivity

description: This is the data and code needed to replicate the results in Noise, Cognitive Function, and Worker Productivity.<br><br>Paper Abstract:<br>Cognitive science research suggests the noisy workplaces common in low and middle income countries can impair workers’ cognitive functions. However, whether this translates into lower earnings for workers depends on the importance of these functions for productivity and whether workers understand these effects. I use two randomized experiments in Nairobi, Kenya to answer these questions. First, I randomize exposure to engine noise during a textile training course at a government training facility. An increase of 7 dB reduces productivity by approximately 3%. In order to study what mechanism drives this effect, I then randomize engine noise during tests of cognitive function and an effort task. The same noise change impairs cognitive function but not effort task performance. Finally, in both experiments, I examine whether individuals appreciate the impact of noise on their performance by eliciting participants’ willingness to pay for quiet working conditions while randomly varying whether they are compensated based on their performance. Individuals’ willingness to pay does not depend on the wage structure; suggesting that they are not aware that quiet working conditions would increase their performance pay. Thus, workers may fail to mitigate earnings losses by sorting into quieter jobs where they are more productive.
description: Individuals seeking work at textile factories in Athi River
description: Textile workers in Nairobi, Kenya. Smallest Geographic Unit: Individuals
description: cognitive assessment test; face-to-face interview;
DOI: 10.6084/m9.figshare.25210819
title: Additional file 2 of High expression of TBRG4 in relation to unfavorable outcome and cell ferroptosis in hepatocellular carcinoma

description: Additional file 2: Supplemental Table 1. The detailed information about the correlation between gene expression and drug sensitivity in pan-cancer.
DOI: 10.6084/m9.figshare.25210819.v1
title: Additional file 2 of High expression of TBRG4 in relation to unfavorable outcome and cell ferroptosis in hepatocellular carcinoma

description: Additional file 2: Supplemental Table 1. The detailed information about the correlation between gene expression and drug sensitivity in pan-cancer.
DOI: 10.6084/m9.figshare.25210657
title: Additional file 1 of Translation and cross-cultural adaptation of seventeen widely-used assessment instruments for child and adolescent mental health in Greece

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25210657.v1
title: Additional file 1 of Translation and cross-cultural adaptation of seventeen widely-used assessment instruments for child and adolescent mental health in Greece

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25054937
title: Raw data and data for analysis in Rstudio.

description: This study investigated predictive processing during both silent and oral reading, revealing a more pronounced predictability effect in the context of oral reading.
DOI: 10.6084/m9.figshare.25054937.v5
title: Raw data and data for analysis in Rstudio.

description: This study investigated predictive processing during both silent and oral reading, revealing a more pronounced predictability effect in the context of oral reading.
DOI: 10.6084/m9.figshare.26386279
title: Comparison of <i>Forsythia suspensa</i> leaf fermentation tea in the four different counties

description: <i>Forsythia suspensa</i> (Thunb.Vahl), a well-known chemical, is a potentially multifunctional attempt to combine the traditional black tea process with the medicinal value of tea leaves, resulting in a unique aroma and medicinal properties. Fermentation tea has a wide range of applications in food, daily health, and preservative development, enhancing the variety of tea beverages and enhancing the utilization of tea leaves. This study used wild leaves from the four regions of Shanxi provice as experimental material. We subjected the leaves to a black tea process to produce fermented tea, and a vertical test optimized the fermentation process.
DOI: 10.6084/m9.figshare.26386279.v1
title: Comparison of <i>Forsythia suspensa</i> leaf fermentation tea in the four different counties

description: <i>Forsythia suspensa</i> (Thunb.Vahl), a well-known chemical, is a potentially multifunctional attempt to combine the traditional black tea process with the medicinal value of tea leaves, resulting in a unique aroma and medicinal properties. Fermentation tea has a wide range of applications in food, daily health, and preservative development, enhancing the variety of tea beverages and enhancing the utilization of tea leaves. This study used wild leaves from the four regions of Shanxi provice as experimental material. We subjected the leaves to a black tea process to produce fermented tea, and a vertical test optimized the fermentation process.
DOI: 10.5281/zenodo.13336713
title: Aligned Long-Read Murine Samples: Part 6

description: Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena 

Samples analyzed via the original version of L-RAPiT: 

Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. Int. J. Mol. Sci. 2022, 23, 15851. https://doi.org/10.3390/ijms232415851
DOI: 10.5281/zenodo.13336714
title: Aligned Long-Read Murine Samples: Part 6

description: Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena 

Samples analyzed via the original version of L-RAPiT: 

Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. Int. J. Mol. Sci. 2022, 23, 15851. https://doi.org/10.3390/ijms232415851
DOI: 10.6084/m9.figshare.25210523
title: Additional file 1 of Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis

description: Additional file 1: Table S1. Title: Manual list with functional annotation and plausible function in different aspects of the FA, lipid, and carbohydrate metabolism. Description: This list was compiled based on ClueGO results for selected genes from rCCA. Table S2. Title: Trained list containing genes associated with lipid and/or carbohydrate metabolism in lipogenic tissues (adipose, liver and muscle-skeletal) and obtained from the GUILDify tool. Description: This procedure uses the BIANA knowledge database to create a species-specific interaction network for each gene detected. Here, the netcombo prioritization algorithm based on network topology, and the highest guild score for the top 100 gene products (with only seed) were considered to constitute the trained list. Table S3. Title: List of all transcription factors (TF) and TF cofactors for the Sus scrofa specie obtained from the AnimalTFDB v3.0 database. Description: This resource is also available at: http://bioinfo.life.hust.edu.cn/AnimalTFDB/#!/ .
DOI: 10.6084/m9.figshare.25210523.v1
title: Additional file 1 of Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis

description: Additional file 1: Table S1. Title: Manual list with functional annotation and plausible function in different aspects of the FA, lipid, and carbohydrate metabolism. Description: This list was compiled based on ClueGO results for selected genes from rCCA. Table S2. Title: Trained list containing genes associated with lipid and/or carbohydrate metabolism in lipogenic tissues (adipose, liver and muscle-skeletal) and obtained from the GUILDify tool. Description: This procedure uses the BIANA knowledge database to create a species-specific interaction network for each gene detected. Here, the netcombo prioritization algorithm based on network topology, and the highest guild score for the top 100 gene products (with only seed) were considered to constitute the trained list. Table S3. Title: List of all transcription factors (TF) and TF cofactors for the Sus scrofa specie obtained from the AnimalTFDB v3.0 database. Description: This resource is also available at: http://bioinfo.life.hust.edu.cn/AnimalTFDB/#!/ .
DOI: 10.6084/m9.figshare.25210824
title: Additional file 2 of Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis

description: Additional file 2: Table S4. Title: The correlation matrix for all bipartite relationships (13 FA and 365 genes) obtained via the rCCA approach with a correlation above 0.29 using the network function in the mixOmics package. Description: NA values in this table mean that the correlation between both variables did not exceed the pre-established cut-off point.
DOI: 10.6084/m9.figshare.25210824.v1
title: Additional file 2 of Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis

description: Additional file 2: Table S4. Title: The correlation matrix for all bipartite relationships (13 FA and 365 genes) obtained via the rCCA approach with a correlation above 0.29 using the network function in the mixOmics package. Description: NA values in this table mean that the correlation between both variables did not exceed the pre-established cut-off point.
DOI: 10.6084/m9.figshare.26679827.v1
title: Additional file 7 of Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis

description: Additional file 7: Table S5. Title: ClueGO Gene Ontology (GO) results of selected genes in the rCCA approach. Description: Functional analysis included significant GO terms with and without “GO Term Fusion” (biological process, pathways and molecular functions, BH-corrected P-value &lt; 0.05) and was performed with the background of all genes expressed in muscle.