cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e244404v1
title: Daily Census Tract-Level PM2.5 Concentrations, 2001-2005

description: This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Read less
description: (Downloaded 1/16/2026)
DOI: 10.5281/zenodo.18294295
title: Paspalum splendens Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18294296
title: Paspalum splendens Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.15468/dl.fb97cf
title: Occurrence Download

description: A dataset containing 1638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "DatasetKey is Field Museum of Natural History (Zoology) Bird Collection",
 "DwcaExtension is http://rs.tdwg.org/ac/terms/Multimedia",
 "IsInCluster is false",
 "IsSequenced is false",
 "OccurrenceStatus is Present",
 "Protocol is EML",
 "PublishedByGbifRegion is North America",
 "Repatriated is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 1638 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018858-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18294300
title: Paspalum splendens var. sphacelatum Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18294299
title: Paspalum splendens var. sphacelatum Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.15468/dl.szerad
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicranomyia subaurita",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018856-260108223611665/datasets/export for details.
DOI: 10.15468/dl.f9g72b
title: Occurrence Download

description: A dataset containing 25082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea sitchensis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25082 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018857-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6d3pgc
title: Occurrence Download

description: A dataset containing 563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea sitchensis",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 563 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018859-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18294303
title: Paspalum stellatum Humb. & Bonpl. ex Flüggé. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18294304
title: Paspalum stellatum Humb. & Bonpl. ex Flüggé. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.3886/e244405
title: Daily Census Tract-Level PM2.5 Concentrations, 2006-2010

description: This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Read less
description: (Downloaded 1/16/2026)
DOI: 10.3886/e244405v1
title: Daily Census Tract-Level PM2.5 Concentrations, 2006-2010

description: This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Read less
description: (Downloaded 1/16/2026)
DOI: 10.15468/dl.eq8z4j
title: Occurrence Download

description: A dataset containing 9550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicranomyia modesta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9550 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018861-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zan9v5
title: Occurrence Download

description: A dataset containing 9372 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juniperus deppeana"
 ]
}

 The dataset includes 9372 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045291-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.17137.13922
title: Supplementary Resources to Elisabeth of Bohemia.pdf
DOI: 10.6084/m9.figshare.29919587
title: <b>Temporal Dynamics of tsRNA Regulation Mark an Abrupt Transition After Epileptogenesis</b>

description: Epileptogenesis involves widespread molecular remodeling, including transcriptional and post-transcriptional changes that reshape neuronal networks. While microRNAs have been extensively studied in this context, the contribution of transfer RNA-derived small RNAs (tsRNAs) remains largely unexplored. Understanding how tsRNAs engage in Argonaute 2 (Ago2)-mediated regulation during epileptogenesis could uncover new layers of post-transcriptional control relevant to seizure development and progression. <br>Recent studies increasingly recognize transfer RNA-derived small RNAs or tsRNAs, especially those bound to Argonaute 2 (Ago2), as functional regulators of gene expression. Here, we analyzed Ago2-immunoprecipitated small RNA-Seq data along with matching transcriptomic and proteomic data across seven defined timepoints in a rat model of epilepsy that was induced using perforant pathway stimulation (PPS). <br>The analysis showed dynamic shifts in Ago-2 bound tsRNA expression, with early and intermediate stages showing upregulation of shorter tsRNA fragments, whereas Day of First Seizure (DOFS) and chronic timepoints showing a shift toward 5’tiRNAs, including highly upregulated GlyGCC-derived fragments. Cluster analysis using Weighted Gene Co-Expression Network Analysis (WGCNA) identified modules specific to DOFS timepoint where tsRNAs clustered together with genes enriched in pathways including neuronal metabolism, mitochondrial function, and synaptic stability. Target prediction analysis using RNAhybrid at DOFS predicted targets in 3’UTR, 5’UTR, and CDS regions showing association with glycolysis, protein localization, and vesicle trafficking. Subsequent gene-disease association analysis further associated the predicted targets with neurodegenerative conditions including but not limited to Alzheimer's disease, intellectual disability, and epilepsy. <br>This study highlights that tsRNAs potentially play a temporal dynamic regulatory role in epileptogenesis with an evident shift in tsRNA accumulation at DOFS suggesting a potential rewiring of post-transcriptional control at the completion of epileptogenesis. This work also highlights a first integrative approach of tsRNA downstream effects on the transcriptome and proteome in epilepsy and suggests innovative tsRNA-driven mechanisms relevant to disease progression.
DOI: 10.6084/m9.figshare.29919587.v2
title: <b>Temporal Dynamics of tsRNA Regulation Mark an Abrupt Transition After Epileptogenesis</b>

description: Epileptogenesis involves widespread molecular remodeling, including transcriptional and post-transcriptional changes that reshape neuronal networks. While microRNAs have been extensively studied in this context, the contribution of transfer RNA-derived small RNAs (tsRNAs) remains largely unexplored. Understanding how tsRNAs engage in Argonaute 2 (Ago2)-mediated regulation during epileptogenesis could uncover new layers of post-transcriptional control relevant to seizure development and progression. <br>Recent studies increasingly recognize transfer RNA-derived small RNAs or tsRNAs, especially those bound to Argonaute 2 (Ago2), as functional regulators of gene expression. Here, we analyzed Ago2-immunoprecipitated small RNA-Seq data along with matching transcriptomic and proteomic data across seven defined timepoints in a rat model of epilepsy that was induced using perforant pathway stimulation (PPS). <br>The analysis showed dynamic shifts in Ago-2 bound tsRNA expression, with early and intermediate stages showing upregulation of shorter tsRNA fragments, whereas Day of First Seizure (DOFS) and chronic timepoints showing a shift toward 5’tiRNAs, including highly upregulated GlyGCC-derived fragments. Cluster analysis using Weighted Gene Co-Expression Network Analysis (WGCNA) identified modules specific to DOFS timepoint where tsRNAs clustered together with genes enriched in pathways including neuronal metabolism, mitochondrial function, and synaptic stability. Target prediction analysis using RNAhybrid at DOFS predicted targets in 3’UTR, 5’UTR, and CDS regions showing association with glycolysis, protein localization, and vesicle trafficking. Subsequent gene-disease association analysis further associated the predicted targets with neurodegenerative conditions including but not limited to Alzheimer's disease, intellectual disability, and epilepsy. <br>This study highlights that tsRNAs potentially play a temporal dynamic regulatory role in epileptogenesis with an evident shift in tsRNA accumulation at DOFS suggesting a potential rewiring of post-transcriptional control at the completion of epileptogenesis. This work also highlights a first integrative approach of tsRNA downstream effects on the transcriptome and proteome in epilepsy and suggests innovative tsRNA-driven mechanisms relevant to disease progression.
DOI: 10.6084/m9.figshare.29919587.v1
title: <b>Temporal Dynamics of tsRNA Regulation Mark an Abrupt Transition After Epileptogenesis</b>

description: Recent studies increasingly recognize transfer RNA-derived small RNAs or tsRNAs, especially those bound to Argonaute 2 (Ago2), as functional regulators of gene expression. Here, we analyzed Ago2-immunoprecipitated small RNA-Seq data along with matching transcriptomic and proteomic data across seven defined timepoints in a rat model of epilepsy that was induced using perforant pathway stimulation (PPS).The analysis showed dynamic shifts in Ago-2 bound tsRNA expression, with early and intermediate stages showing upregulation of shorter tsRNA fragments, whereas Day of First Seizure (DOFS) and chronic timepoints showing a shift toward 5’tiRNAs, including highly upregulated GlyGCC-derived fragments. Cluster analysis using Weighted Gene Co-Expression Network Analysis (WGCNA) identified modules specific to DOFS timepoint where tsRNAs clustered together with genes enriched in pathways including neuronal metabolism, mitochondrial function, and synaptic stability. Target prediction analysis using RNAhybrid at DOFS predicted targets in 3’UTR, 5’UTR, and CDS regions showing association with glycolysis, protein localization, and vesicle trafficking. Subsequent gene-disease association analysis further associated the predicted targets with neurodegenerative conditions including but not limited to Alzheimer's disease, intellectual disability, and epilepsy.This study highlights that tsRNAs potentially play a temporal dynamic regulatory role in epileptogenesis with an evident shift in tsRNA accumulation at DOFS suggesting rewiring of post-transciptional control at the completion of epileptogenesis. This work also highlights a first integrative approach of tsRNA downstream effects on the transcriptome and proteome in epilepsy and suggests innovative tsRNA-driven mechanisms relevant to disease progression.
DOI: 10.15468/dl.fws3us
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didymascella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 213 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045293-251025141854904/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.30656762
title: <b>Spatiotemporal Deep Learning-based Short-term Prediction of Cyanobacterial Blooms Using Daily Reconstructed Data for an Early Eutrophic Plateau Lake</b>

description: <b>Spatiotemporal Deep Learning-based Short-term Prediction of Cyanobacterial Blooms Using Daily Reconstructed Data for an Early Eutrophic Plateau Lake</b>
DOI: 10.6084/m9.figshare.30656762.v1
title: <b>Spatiotemporal Deep Learning-based Short-term Prediction of Cyanobacterial Blooms Using Daily Reconstructed Data for an Early Eutrophic Plateau Lake</b>

description: <b>Spatiotemporal Deep Learning-based Short-term Prediction of Cyanobacterial Blooms Using Daily Reconstructed Data for an Early Eutrophic Plateau Lake</b>
DOI: 10.15468/dl.3njfgc
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.6188 28.34913, -112.4688 28.34913, -112.4688 28.49913, -112.6188 28.49913, -112.6188 28.34913))"
 ]
}

 The dataset includes 234 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045295-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17650485
title: Electrospun Nanofibrous Patches Loaded with Natural Antifungal Agents for Wound Healing

description: This dataset contains all experimental data supporting the manuscript titled “Electrospun PVA/PVP/Pectin Nanofibrous Patches Loaded with Natural Extracts for Enhancing Skin Hydration and Healing in Atopic Dermatitis.” The dataset includes processed numerical data used to generate all figures in the article, together with representative images related to the experimental procedures.
DOI: 10.15468/dl.7eyjdm
title: Occurrence Download

description: A dataset containing 497801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elaeagnus mollis, Osmanthus fragrans, Syzygium jambos, Carex extensa, Heteromeles arbutifolia, Gnaphalium uliginosum, Vitis bryoniifolia, Oryza schlechteri, Karpatiosorbus bristoliensis, Salix repens)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 497801 records from 1924 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045255-251025141854904/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.25749678
title: DATA

description: Here's all the data used for the article named "<b>Steered by </b><b>d</b><b>igitization and </b><b>i</b><b>ncentives: Research on</b><b> </b><b>the </b><b>configuration</b><b> and </b><b>e</b><b>ffect of </b><b>i</b><b>mproving </b><b>i</b><b>nnovation </b><b>e</b><b>fficiency in </b><b>m</b><b>anufacturing </b><b>c</b><b>ompanies</b>"
DOI: 10.6084/m9.figshare.25749678.v3
title: DATA

description: Here's all the data used for the article named "<b>Steered by </b><b>d</b><b>igitization and </b><b>i</b><b>ncentives: Research on</b><b> </b><b>the </b><b>configuration</b><b> and </b><b>e</b><b>ffect of </b><b>i</b><b>mproving </b><b>i</b><b>nnovation </b><b>e</b><b>fficiency in </b><b>m</b><b>anufacturing </b><b>c</b><b>ompanies</b>"
DOI: 10.6084/m9.figshare.29197922
title: CTCF maintains pericentromere function and mitotic fidelity, raw data

description: In mitosis the duplicated genome is aligned and accurately segregated between daughter nuclei. CTCF is a chromatin looping protein in interphase with an unknown role in mitosis. We previously published CTCF constitutive knockdown causes mitotic failure, but the mechanism remains unknown. To determine the role of CTCF in mitosis, we used a CRISPR CTCF auxin inducible degron cell line for rapid degradation. CTCF degradation for 3 days resulted in increased failure of mitosis and decreased circularity in post-mitotic nuclei. Upon CTCF degradation CENP-E is still recruited to the kinetochore and there is a low incidence of polar chromosomes which occur upon CENP-E inhibition. Instead, immunofluorescence imaging of mitotic spindles reveals that CTCF degradation causes increased intercentromere distances and a wider and more disorganized metaphase plate, key functions of the pericentromere. These results are similar to partial loss of cohesin, an established component of the pericentromere. Thus, we reveal that CTCF is a key maintenance factor of pericentromere function, successful mitosis, and post-mitotic nuclear shape.
DOI: 10.7910/dvn/piuhhj
title: DRC (2010): ENQUETE TRAC VIH SUR L'UTILISATION ET LES DETERMINANTS DE L'UTILISATION DU CONDOM AUPRES DES HOMMES EN UNIFORME (Militaires et Policiers) DE BUKAVU (Sud-Kivu)

description: L'eloignement des militaires de laurs familles est susceptible d'encourager des comportements sexuels a risque dans un contexte ou la sensibilisation sur le VIH n'est pas faite de maniere systematique et ou l'acces aux services de sante n'est pas universel. Les etudes faites en Afrique et ailleurs ont montre que les militaires avaient des taux de prevalence plus eleves que les non-militaires et que le risque d'infection a VIH etait associe aux contacts sexuels avec des partenaires occasionnels. Le but de cetter etude est d'examiner l'utilisation et les determinants de l'utilisation des preservatifs aupres des hommes en uniforme dans la ville de Bukavu. L'enquete a ete realisee dans la ville province du Sud Kivu sur un echantillon de 342 militaires et policiers d
e 15 a 49 ans. Les analyses ont ete effectuees sur un sous echantillon de 241 personnes sexuellement actives et ayant eu des rapports sexuels avec un partenaire non-conjugal au cours des 12 mois qui ont precedes l'enquete. L'outil de collecte des donnes etait le questionnaire individuel pre-code, et les analyses ont ete faites en utilisant le logiciel SPSS (version 16.0) sous Windows.