cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26666419.v1
title: Additional file 5 of CD4 T-cell aging exacerbates neuroinflammation in a late-onset mouse model of amyotrophic lateral sclerosis

description: Additional file 5: Table S4. Differentially expressed genes in lumbar spinal cord sections of SOD1G37R and littermate control mice. Lumbar SC RNA-seq results of 10 SOD1G37R mice and 10 littermate control mice. Genes are detailed with their corresponding ENSEMBL ID and gene symbols, log2 fold change values, and adjusted p-values. Fold change values &gt; 1 suggest upregulation whereas values &lt; − 1 downregulation. Data analysis and organization were executed utilizing the NeatSeq Flow DeSeq2 module.
DOI: 10.6084/m9.figshare.26666422
title: Additional file 6 of CD4 T-cell aging exacerbates neuroinflammation in a late-onset mouse model of amyotrophic lateral sclerosis

description: Additional file 6: Table S5. Upregulated Immune-related GO biological processes in lumbar spinal cords of SOD1G37R mice. The table outlines the GO biological processes found to be upregulated in lumbar SC samples, as ascertained through bulk RNA-seq analysis. Columns from left to right present the biological process name, gene ratio, and p.adjust.
DOI: 10.6084/m9.figshare.26666422.v1
title: Additional file 6 of CD4 T-cell aging exacerbates neuroinflammation in a late-onset mouse model of amyotrophic lateral sclerosis

description: Additional file 6: Table S5. Upregulated Immune-related GO biological processes in lumbar spinal cords of SOD1G37R mice. The table outlines the GO biological processes found to be upregulated in lumbar SC samples, as ascertained through bulk RNA-seq analysis. Columns from left to right present the biological process name, gene ratio, and p.adjust.
DOI: 10.6084/m9.figshare.26666425
title: Additional file 7 of CD4 T-cell aging exacerbates neuroinflammation in a late-onset mouse model of amyotrophic lateral sclerosis

description: Additional file 7: Table S6. Upregulated Immune-related KEGG pathways in lumbar spinal cords of SOD1G37R mice. The table delineates the KEGG pathways found to be upregulated in lumbar SC samples, as determined by bulk RNA-seq analysis. Columns from left to right represent the pathway name, gene ratio, and p.adjust.
DOI: 10.5281/zenodo.14833891
title: A Novel Analog Electronic Circuit for Versatile Fractional Exponentiation

description: The following data represents the circuit diagrams of the 444 circuit within a family of Lorenz-like systems. These diagrams are provided to support the replication of the results reported in the associated publication, as well as any further public-domain academic research in the field of analog electronic circuits, related applications, and aspects, in compliance with the specified license terms and all applicable legal clauses.

The following reference must be cited when using these data:

Cen X, Li C, Liu W, Yang Y, Minati L, A Novel Analog Electronic Circuit for Versatile Fractional Exponentiation, International Journal of Bifurcation and Chaos 2025, DOI https://dx.doi.org/10.1142/S0218127425300095.

This work was supported by the National Natural Science Foundation of China under Grant No. 62371242. L.M. gratefully acknowledges the support of the ''Hundred Talents" program of the University of Electronic Science and Technology of China, of the ''Outstanding Young Talents Program (Overseas)" program of the National Natural Science Foundation of China, and of the talent programs of the Sichuan province and Chengdu municipality.
DOI: 10.5281/zenodo.14833892
title: A Novel Analog Electronic Circuit for Versatile Fractional Exponentiation

description: The following data represents the circuit diagrams of the 444 circuit within a family of Lorenz-like systems. These diagrams are provided to support the replication of the results reported in the associated publication, as well as any further public-domain academic research in the field of analog electronic circuits, related applications, and aspects, in compliance with the specified license terms and all applicable legal clauses.

The following reference must be cited when using these data:

Cen X, Li C, Liu W, Yang Y, Minati L, A Novel Analog Electronic Circuit for Versatile Fractional Exponentiation, International Journal of Bifurcation and Chaos 2025, DOI https://dx.doi.org/10.1142/S0218127425300095.

This work was supported by the National Natural Science Foundation of China under Grant No. 62371242. L.M. gratefully acknowledges the support of the ''Hundred Talents" program of the University of Electronic Science and Technology of China, of the ''Outstanding Young Talents Program (Overseas)" program of the National Natural Science Foundation of China, and of the talent programs of the Sichuan province and Chengdu municipality.
DOI: 10.6084/m9.figshare.28347176
title: <b>Nanofiber SEM Dataset</b>

description: This study presents a deep learning-based framework for automated defect detection in electrospun Polyacrylonitrile (PAN) nanofibers using Scanning Electron Microscope (SEM) images. The proposed Nanofiber Classifier model is trained on a dataset consisting of three categories: Slightly Defective, Defective, Non-DefectiveThis repository contains the source code and dataset necessary to replicate the results of the research paper:"Automated Defect Classification of Electrospun Polyacrylonitrile Nanofibers via Deep Learning of SEM Images"Journal: The Visual Computer
DOI: 10.6084/m9.figshare.28347176.v2
title: <b>Nanofiber SEM Dataset</b>

description: This study presents a deep learning-based framework for automated defect detection in electrospun Polyacrylonitrile (PAN) nanofibers using Scanning Electron Microscope (SEM) images. The proposed Nanofiber Classifier model is trained on a dataset consisting of three categories: Slightly Defective, Defective, Non-DefectiveThis repository contains the source code and dataset necessary to replicate the results of the research paper:"Automated Defect Classification of Electrospun Polyacrylonitrile Nanofibers via Deep Learning of SEM Images"Journal: The Visual Computer
DOI: 10.6084/m9.figshare.28347176.v1
title: <b>Nanofiber SEM Dataset</b>

description: This study presents a deep learning-based framework for automated defect detection in electrospun Polyacrylonitrile (PAN) nanofibers using Scanning Electron Microscope (SEM) images. The proposed Nanofiber Classifier model is trained on a dataset consisting of three categories: Slightly Defective, Defective, Non-DefectiveThis repository contains the source code and dataset necessary to replicate the results of the research paper:"Automated Defect Classification of Electrospun Polyacrylonitrile Nanofibers via Deep Learning of SEM Images"Journal: The Visual Computer
DOI: 10.15468/dl.wncs5t
title: Occurrence Download

description: A dataset containing 6744439 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Belize"
 ]
}

 The dataset includes 6744439 records from 806 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020712-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.534bzg
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Clusia pusilla Steyerm."
 ]
}

 The dataset includes 177 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020715-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qznea
title: Occurrence Download

description: A dataset containing 16930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "GbifRegion is one of (North America, Europe and Central Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orcinus orca (Linnaeus, 1758)",
 "Year 1951-2025"
 ]
}

 The dataset includes 16930 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020717-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjq247
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Quercus brandisiana Kurz"
 ]
}

 The dataset includes 53 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020718-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14836631
title: Sectoral and Spatial Impacts of PPAs for Industrial usage in Germany (2025)
DOI: 10.5281/zenodo.14836632
title: Sectoral and Spatial Impacts of PPAs for Industrial usage in Germany (2025)
DOI: 10.15468/dl.et29e5
title: Occurrence Download

description: A dataset listing the 217 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.27_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June)",
 "Year 2021-2021"
 ]
}

 The dataset's 217 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020716-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14836722
title: Large unconventional anomalous Hall effect arising from spin chirality within domain walls of an antiferromagnet EuZn2Sb2
DOI: 10.5281/zenodo.14836723
title: Large unconventional anomalous Hall effect arising from spin chirality within domain walls of an antiferromagnet EuZn2Sb2
DOI: 10.15468/dl.2p768v
title: Occurrence Download

description: A dataset containing 1056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.27_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June)",
 "Year 2022-2022"
 ]
}

 The dataset includes 1056 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020719-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zujp9b
title: Occurrence Download

description: A dataset containing 1056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.27_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June)",
 "Year 2022-2022"
 ]
}

 The dataset includes 1056 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020722-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13317400
title: National Checklists 2019: Czech Republic Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from the Czech Republic collected using effechecka and geonames polygons
DOI: 10.15468/dl.cu4ege
title: Occurrence Download

description: A dataset containing 6533543 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Thailand"
 ]
}

 The dataset includes 6533543 records from 1642 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020720-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xydm9
title: Occurrence Download

description: A dataset containing 5370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Chile, Peru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amphipoda, Isopoda, Cumacea, Bochusacea, Lophogastrida, Mysida, Tanaidacea, Thermosbaenacea)"
 ]
}

 The dataset includes 5370 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014770-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.az7fzf
title: Occurrence Download

description: A dataset containing 5173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichonephila plumipes (Latreille, 1804))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5173 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014771-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58160/bboqaxydrdhtqcze
title: Thermodynamic Stability at the Two-Particle Level - Numerical results for the two-orbital Hubbard model (beta = 35 two-particle functions, one result per parameter set)

description: This dataset contains a part of the DMFT/QMC results for the example of the two-orbital Hubbard model shown in the article "Thermodynamic Stability at the Two-Particle Level". It contains one statistically independent result (i.e. using one specific PRNG seed each) for the two-particle Green's functions at inverse temperature beta = 35. Further results can be found in the main dataset listed under related identifiers and its other subdatasets.
description: All data files are zstd-compressed HDF5 output files as generated by w2dynamics for worm-sampling calculations of the two-particle Green's functions of the auxiliary impurity problem of two-orbital Hubbard models on a Bethe lattice with density-density interaction with fixed ratios between the interaction coefficients at inverse temperature beta = 35. The individual file names contain the Hubbard-U interaction strength, e.g. '_U1.46_' for U=1.46, the chemical potential μ, e.g. '_mu1.33380_' for μ=1.3338, and the letter 'u'(pward), 'd'(ownward), or 'i'(nstable) indicating a procedural detail that is related to the phase if the parameters of the solution are in the coexistence region (the corresponding phases are the insulating or strongly correlated metallic one, the weakly correlated metallic one, and the unstable metallic one respectively). More detailed descriptions and instructions can be found in the included readme file or the technical remarks on the main dataset.
description: We are grateful for funding support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy through the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ct.qmat (EXC 2147, Project ID 390858490) as well as through the Collaborative Research Center SFB 1170 ToCoTronics (Project ID 258499086).
description: Numerical calculation
description: The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for funding this project by providing computing time on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre (www.lrz.de).
DOI: 10.5281/zenodo.14163793
title: 10 best fits of dispersal speed distribution for the split datasets
DOI: 10.5281/zenodo.14163794
title: 10 best fits of dispersal speed distribution for the split datasets
DOI: 10.5281/zenodo.14161976
title: Common Ancestry of the Id Locus: Chromosomal Rearrangement and Polygenic Possibilities

description: The Id locus, with a potential polygenic nature, is inverted alongside ZARU1 at the distal end of the q-arm of chromosome Z, indicating a shared ancestry among BBC breeds.
DOI: 10.5281/zenodo.14161977
title: Common Ancestry of the Id Locus: Chromosomal Rearrangement and Polygenic Possibilities

description: The Id locus, with a potential polygenic nature, is inverted alongside ZARU1 at the distal end of the q-arm of chromosome Z, indicating a shared ancestry among BBC breeds.
DOI: 10.15468/dl.pbe9re
title: Occurrence Download

description: A dataset listing the 50 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Rescate de epífitas Oleoducto Bicentenario, Tramo Araguaney - Banadía (rescate)"
 ]
}

 The dataset's 50 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014764-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14163703
title: Dataset for the scientific article titled "Is it worth paying attention to Actinedid mites in agricultural fields?"

description: The dataset is about the soil-dwelling mite abundance from two experiments. The abundance data refer to 400 cm3 soil samples for six mite groups. The data are from three sites (Martonvásár, Őrbottyán, Nagyhörcsök), from three years (2018, 2019, 2021), from three plant types (wheat, maize and mixed grass) and from two soil types (Phaeozem, Luvisol) and from two seasons (summer and autumn).
DOI: 10.5281/zenodo.14163704
title: Dataset for the scientific article titled "Is it worth paying attention to Actinedid mites in agricultural fields?"

description: The dataset is about the soil-dwelling mite abundance from two experiments. The abundance data refer to 400 cm3 soil samples for six mite groups. The data are from three sites (Martonvásár, Őrbottyán, Nagyhörcsök), from three years (2018, 2019, 2021), from three plant types (wheat, maize and mixed grass) and from two soil types (Phaeozem, Luvisol) and from two seasons (summer and autumn).
DOI: 10.3886/e208623v1
title: Admissions, Organization, Culture, and Policy: Understanding the Postsecondary Structures that Shape Women’s Entry into Computing Bachelor’s Programs

description: Despite the growing popularity of computing bachelor’s programs, women remain vastly underrepresented in these fields. Using Social Cognitive Career Theory and intersectionality as guiding theories, this qualitative study explores how postsecondary institutions shape women’s experiences choosing and entering computing bachelor’s programs. Twenty-eight of 40 participants entered their institutions with plans to study computing, while 12 developed a new (or renewed) interest in computing as undergraduates. Findings outline four postsecondary structures that shaped participant entry into computing majors, including university-level admissions and participant perceptions of financial and cultural accessibility; academic college-level organization and admissions processes; institutional computing cultures, namely introductory course experiences and social environments; and major declaration policies. Findings also show how these structures differentially shaped participant experiences based on intersecting minoritized social identities, such as race/ethnicity and social class. Overall, findings illustrate the precarious relationship between computing interest development, major intent, and major enrollment for undergraduate women in computing.
description: Response Rates: 34 of 40 participants (85%) completed all three study phases.
description: Participants were eligible if they were age 18+, self-identified as women, were enrolled in a U.S. computing bachelor’s program, and had accepted a summer computing internship (based on criteria for a larger study on women's career development in computing). Initial criteria required that participants be CS majors, but eligibility was later expanded to other computer majors to reach study capacity. Study information was emailed to Association for Computing Machinery-Women (ACM-W) campus chapters at U.S. institutions with public contact information. The first 40 eligible participants who completed an electronic demographic survey were invited to participate.<br>
description: 40 undergraduate women enrolled in computing majors at U.S. institutions.
description: face-to-face interview; web-based survey;
DOI: 10.3886/e208623
title: Admissions, Organization, Culture, and Policy: Understanding the Postsecondary Structures that Shape Women’s Entry into Computing Bachelor’s Programs

description: Despite the growing popularity of computing bachelor’s programs, women remain vastly underrepresented in these fields. Using Social Cognitive Career Theory and intersectionality as guiding theories, this qualitative study explores how postsecondary institutions shape women’s experiences choosing and entering computing bachelor’s programs. Twenty-eight of 40 participants entered their institutions with plans to study computing, while 12 developed a new (or renewed) interest in computing as undergraduates. Findings outline four postsecondary structures that shaped participant entry into computing majors, including university-level admissions and participant perceptions of financial and cultural accessibility; academic college-level organization and admissions processes; institutional computing cultures, namely introductory course experiences and social environments; and major declaration policies. Findings also show how these structures differentially shaped participant experiences based on intersecting minoritized social identities, such as race/ethnicity and social class. Overall, findings illustrate the precarious relationship between computing interest development, major intent, and major enrollment for undergraduate women in computing.
description: Response Rates: 34 of 40 participants (85%) completed all three study phases.
description: Participants were eligible if they were age 18+, self-identified as women, were enrolled in a U.S. computing bachelor’s program, and had accepted a summer computing internship (based on criteria for a larger study on women's career development in computing). Initial criteria required that participants be CS majors, but eligibility was later expanded to other computer majors to reach study capacity. Study information was emailed to Association for Computing Machinery-Women (ACM-W) campus chapters at U.S. institutions with public contact information. The first 40 eligible participants who completed an electronic demographic survey were invited to participate.<br>
description: 40 undergraduate women enrolled in computing majors at U.S. institutions.
description: face-to-face interview; web-based survey;