cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/3ktxkw
title: microbial communities in long-term e-waste contaminated river sediments

description: The release of toxic organic pollutants and heavy metals by primitive electronic waste (e-waste) processing to waterways has raised significant concerns, but little is known about their potential ecological effects on aquatic biota especially microorganisms. We characterized the microbial community composition and diversity in sediments sampled along two rivers consistently polluted by e-waste, and examined how community functions respond to the complex combined pollution. High throughput 16S rRNA sequencing showed that Proteobacteria (particularly Deltaproteobacteria) dominated the sediment microbial assemblages followed by Bacteroidetes, Acidobacteria, Chloroflexi, and Firmicutes. PICRUSt metagenome inference provided an initial insight into the metabolic potentials of these e-waste affected communities, with genes encoding key enzymes (including dioxygenase, dehydrogenase, aldolase, decarboxylase, hydroxylase and hydrolase) in organic pollutants-degradation pathways largely harbored by some of the dominant genera (such as Sulfuricurvum, Thiobacillus and Burkholderia) detected in situ. Statistical analyses revealed that toxic organic compounds contributed more to the observed variations in sediment microbial community structure and function (24.68% and 8.89%, respectively) than heavy metals (12.18% and 4.68%), and BaP, available lead and EC were the key contributors. Given the ecological significance of microbes in sediments, long-term e-waste pollution has the potential to alter nutrient cycling and contribute to functional perturbation of freshwater systems.
DOI: 10.15468/dl.dk7e8q
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sphagnum khasianum"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008626-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqqy49
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Picrodontidae"
 ]
}

 The dataset includes 230 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008628-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxfvh8
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphyotrichum salignum",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008629-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6mvry
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphyotrichum salignum",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008631-250920141307145/datasets/export for details.
DOI: 10.15468/dl.sv2g5a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantidium exiguum Brébisson ex Kützing, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066407-250525065834625/datasets/export for details.
DOI: 10.15468/dl.9k7hxz
title: Occurrence Download

description: A dataset containing 1493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Coua coquereli A.Grandidier, 1867",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1493 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066408-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15725212
title: INNOVATIVE APPROACH to ABDOMINAL RECTOSACROUTEROPEXY

description: This dataset supports the research article comparing the traditional Wells rectopexy technique and a modified surgical technique for pelvic organ prolapse treatment.
DOI: 10.5281/zenodo.15725213
title: INNOVATIVE APPROACH to ABDOMINAL RECTOSACROUTEROPEXY

description: This dataset supports the research article comparing the traditional Wells rectopexy technique and a modified surgical technique for pelvic organ prolapse treatment.
DOI: 10.15468/dl.gdf3as
title: Occurrence Download

description: A dataset containing 1691 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arothron manilensis (Marion de Procé, 1822)"
 ]
}

 The dataset includes 1691 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066410-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7343g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantidium exiguum Brébisson ex Kützing, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066409-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15725223
title: Gene ontology term enrichment.

description: Table S1. Gene ontology term enrichment. Significantly (FDR < 0.05) up-regulated ontologies in longissimus lumborum muscle of bitter mix (combination of caffeine, grape and gentian extracts) fed pigs.
DOI: 10.5281/zenodo.15725224
title: Gene ontology term enrichment.

description: Table S1. Gene ontology term enrichment. Significantly (FDR < 0.05) up-regulated ontologies in longissimus lumborum muscle of bitter mix (combination of caffeine, grape and gentian extracts) fed pigs.
DOI: 10.15468/dl.85wenk
title: Occurrence Download

description: A dataset containing 3915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Coua cristata (Linnaeus, 1766)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 3915 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066411-250525065834625/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.29387669
title: GAI_Tourism_Survey

description: The dataset, titled "GAI Tourism Survey Results," contains survey responses from individuals across different countries, capturing their familiarity with artificial intelligence (AI) tools and the frequency of their usage. The dataset includes multiple columns, starting with the <b>Country</b> of the respondent, such as the US, Japan, China, Germany, and India. It also records the <b>Age Group</b> of the respondents, categorized into ranges like 18-24, 25-34, 35-44, etc. The <b>Gender</b> column identifies the gender of the participant, offering options such as Male, Female, Other, or Prefer not to say. The dataset further explores the <b>Familiarity with AI</b> level, ranging from "Not Familiar" to "Very Familiar," indicating how well respondents are acquainted with AI tools. Additionally, it tracks the <b>Frequency of AI Tool Use</b>, capturing how often participants engage with AI tools, ranging from "Never" to "Very Frequently." This dataset is valuable for analyzing patterns in AI tool usage across different demographic groups, particularly in relation to age, gender, and geographical location, with potential implications for the tourism sector.
DOI: 10.6084/m9.figshare.29387669.v1
title: GAI_Tourism_Survey

description: The dataset, titled "GAI Tourism Survey Results," contains survey responses from individuals across different countries, capturing their familiarity with artificial intelligence (AI) tools and the frequency of their usage. The dataset includes multiple columns, starting with the <b>Country</b> of the respondent, such as the US, Japan, China, Germany, and India. It also records the <b>Age Group</b> of the respondents, categorized into ranges like 18-24, 25-34, 35-44, etc. The <b>Gender</b> column identifies the gender of the participant, offering options such as Male, Female, Other, or Prefer not to say. The dataset further explores the <b>Familiarity with AI</b> level, ranging from "Not Familiar" to "Very Familiar," indicating how well respondents are acquainted with AI tools. Additionally, it tracks the <b>Frequency of AI Tool Use</b>, capturing how often participants engage with AI tools, ranging from "Never" to "Very Frequently." This dataset is valuable for analyzing patterns in AI tool usage across different demographic groups, particularly in relation to age, gender, and geographical location, with potential implications for the tourism sector.
DOI: 10.15468/dl.sb7tbt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantidium exiguum Brébisson ex Kützing, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066412-250525065834625/datasets/export for details.
DOI: 10.15468/dl.uajmgj
title: Occurrence Download

description: A dataset containing 1625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Coua cursor A.Grandidier, 1867",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1625 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066413-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rh3hnc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantidium exiguum Brébisson ex Kützing, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066414-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.12783575
title: Datasets for the article "Moisture source controls on water isotopes in Antarctic precipitation - insights from water tracers in ECHAM6-wiso"

description: This is the dataset used for the manuscript Qinggang Gao, Louise C Sime, Alison J Mclaren, et al. Moisture source controls on water isotopes in Antarctic precipitation -insights from innovative water tracers in ECHAM6-wiso. ESS Open Archive . December 10, 2024. DOI: 10.22541/essoar.173386109.93218804/v1.

The corresponding code used for the manuscript can be found at https://github.com/l975421700/a_basic_analysis.
DOI: 10.5281/zenodo.15107251
title: Datasets for the article "Moisture source controls on water isotopes in Antarctic precipitation - insights from water tracers in ECHAM6-wiso"

description: This is the dataset used for the manuscript Qinggang Gao, Louise C Sime, Alison J Mclaren, et al. Moisture source controls on water isotopes in Antarctic precipitation -insights from innovative water tracers in ECHAM6-wiso. ESS Open Archive . December 10, 2024. DOI: 10.22541/essoar.173386109.93218804/v1.

The corresponding code used for the manuscript can be found at https://github.com/l975421700/a_basic_analysis.
DOI: 10.15468/dl.rfvkbh
title: Occurrence Download

description: A dataset containing 1561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Coua gigas (Boddaert, 1783)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1561 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066416-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwf86u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantidium exiguum Brébisson ex Kützing, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066415-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15720861
title: MimosoidOccurrence

description: Dataset Description

This dataset is a streamlined version of the original dataset published at https://zenodo.org/records/7568716. It retains only a subset of columns relevant for integration with other datasets in our workflow. The included columns are:





MimoBaseID: Unique identifier for each record




decimalLatitude and decimalLongitude: Geographic coordinates of the observation




SpeciesEdited and GenusEdited: Original taxonomic identification




NewName – Updated species name reflecting recent taxonomic revisions



The "New Name" column was added to facilitate consistent taxonomic matching across datasets, especially when integrating sources that rely on outdated nomenclature. Keeping both the original and updated names supports reproducibility and traceability within our analytical framework.
DOI: 10.5281/zenodo.15720862
title: MimosoidOccurrence

description: Dataset Description

This dataset is a streamlined version of the original dataset published at https://zenodo.org/records/7568716. It retains only a subset of columns relevant for integration with other datasets in our workflow. The included columns are:





MimoBaseID: Unique identifier for each record




decimalLatitude and decimalLongitude: Geographic coordinates of the observation




SpeciesEdited and GenusEdited: Original taxonomic identification




NewName – Updated species name reflecting recent taxonomic revisions



The "New Name" column was added to facilitate consistent taxonomic matching across datasets, especially when integrating sources that rely on outdated nomenclature. Keeping both the original and updated names supports reproducibility and traceability within our analytical framework.
DOI: 10.7910/dvn/tvmz0g
title: Replication Data for: Measurement of the mean number of muons with energies above 500 GeV in air showers detected with the IceCube Neutrino Observatory

description: &lt;b&gt;Measurement of the mean number of muons with energies above 500 GeV in air showers detected with the IceCube Neutrino Observatory&lt;/b&gt;

&lt;br&gt;&lt;br&gt;

This data release accompanies results submitted to Physical Review D describing the measurement of the average multiplicity of TeV muons with IceCube. It contains the data necessary to reproduce the main plots from the paper (Figs. 7 and 9), i.e. the numerical results for the average number of muons with energies above 500 GeV as a function of primary cosmic ray energy.

&lt;br&gt;&lt;br&gt;

For any questions about this data release, please write to analysis@icecube.wisc.edu.

&lt;br&gt;&lt;br&gt;

Files included in this release:
&lt;ul&gt;
&lt;li&gt;A README file
&lt;li&gt;Files including data to reproduce the results plots from the paper (see below for details)
&lt;li&gt;An example python script showing how to read and plot the data
&lt;/ul&gt;

&lt;br&gt;

&lt;u&gt;What is in the files icecube_Nmu500_X_Y.txt:&lt;/u&gt;

&lt;br&gt;

Y indicates wether the file contains values obtained from experimental data (Y="data") or air-shower simulations (Y="MC").
&lt;br&gt;
X indicates the hadronic interaction model for which the plot is made. If Y="data", this means that the experimental data was interpreted using this model. If Y="MC", it means that the simulations were performed with this model. The three models included are Sibyll 2.1, QGSJet-II.04, and EPOS-LHC (see paper for references). The file with X="modelaverage" gives the average over the three individual results with the deviations from the average included in the systematic uncertainties.

&lt;br&gt;&lt;br&gt;

Please see the README file for details on how the data is structured in the files.
DOI: 10.15468/dl.6c76cz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantidium exiguum Brébisson ex Kützing, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066418-250525065834625/datasets/export for details.
DOI: 10.15468/dl.stedrh
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Coua olivaceiceps (Sharpe, 1873)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 157 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066419-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15718304
title: Data from the article "DTL-IceNet: A Dual-Task Learning Architecture with Multi-Scale Fusion Mechanisms for Enhanced Ice Detection on Transmission Lines"

description:  

Description of the data and file structure



example_icing_images: This dataset contains images of transmission line icing of various types, used for ice layer recognition and thickness detection tasks.

Ice_code: The above code is a semantic segmentation model based on the ground truth image of the power grid ice-covered line. By combining the deep learning model with the multimodal branch, the refined segmentation of the ice-covered contour is achieved. The nes folder contains the entire model structure and detailed codes of each module. For other usage methods, please refer to the README.
DOI: 10.5281/zenodo.15718305
title: Data from the article "DTL-IceNet: A Dual-Task Learning Architecture with Multi-Scale Fusion Mechanisms for Enhanced Ice Detection on Transmission Lines"

description:  

Description of the data and file structure



example_icing_images: This dataset contains images of transmission line icing of various types, used for ice layer recognition and thickness detection tasks.

Ice_code: The above code is a semantic segmentation model based on the ground truth image of the power grid ice-covered line. By combining the deep learning model with the multimodal branch, the refined segmentation of the ice-covered contour is achieved. The nes folder contains the entire model structure and detailed codes of each module. For other usage methods, please refer to the README.
DOI: 10.15468/dl.4cyr76
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantidium exiguum Brébisson ex Kützing, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066420-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14799113
title: A direct interaction between the Chd1 CHCT domain and Rtf1 controls Chd1 distribution and nucleosome positioning on active genes
DOI: 10.5281/zenodo.15725175
title: A direct interaction between the Chd1 CHCT domain and Rtf1 controls Chd1 distribution and nucleosome positioning on active genes