cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0178500.10fu
title: SH0178500.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178501.10fu
title: SH0178501.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178502.10fu
title: SH0178502.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178503.10fu
title: SH0178503.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178504.10fu
title: SH0178504.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.c5jrtz
title: Occurrence Download

description: A dataset containing 12081 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Number of sick and dead birds of Anseriformes and Charadriiformes by day submitted to Observation.org in The Netherlands and Belgium between 2016 and 2021"
 ]
}

 The dataset includes 12081 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068342-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58132/o2ij0o
title: Orthogonal photoswitching in a porous organic framework

description: This dataset contains all raw data used to generate Figures 2–5 in the article titled "Orthogonal Photoswitching in a Porous Organic Framework".The dataset contains raw data of: DRIFT spectrum of PSF;13C-1H CP MAS spectra of PSF;N2 sorption isotherm collected at 77 K and the pore size distribution of PSF;uv-vis spectra of reversible photoswitching of switch S1 in solution;uv-vis spectra of orthogonal photoswitching in PSF (solid state);pictures of color change of PSF; 19F-13C CP MAS NMR spectra of PSF;N2 adsorption isotherms collected at 77 K of PSF before and after photoisomerisation;CO2 adsorption isotherms collected at 273 K and 293 K of PSF before and after photoisomertisation.File Types and Formats:'.csv' – raw data from uv-vis, DRIFT, FT-IR and BET measurements. '.csv', files can be opened with any text editor (e.g. Notepad) or spreadsheet editor (e.q. Microsoft Excel).'.jpg' - raw pictures of PSF material before and after photoisomerisation. '.png' files are compatible with any image viewer.'.txt', '.info', '.par', '.png' – raw data from CP MAS NMR measurements. '.txt', '.info' and '.par', files can be opened with any text editor (e.g. Notepad)No special software is required to read '.csv', '.jpg' files. To open raw NMR spectra, lease use for example MestReNova.
DOI: 10.7807/microm:ethno:suf:v2
title: Sozioökonomische Daten auf Rasterebene (SUF 2). Ethno
title: Socio-Economic Data on grid level (SUF 2). Ethno

description: Grundlage für die Variablengruppe "Ethno" bildet eine Vor- und Nachnamenanalyse
 hinsichtlich ihrer sprachlichen Herkunft. Die Auswertung der Namen basiert dabei auf
 Listen, in denen die sprachliche Abstammung der Namen verzeichnet ist. Zusätzlich werden
 diese Listen durch internationale Namensverzeichnisse ergänzt (microm 2014, S. 96f.). Die
 Namensanalyse bezieht sich jeweils auf den Haushaltsvorstand. Dementsprechend können keine
 Aussagen darüber getroffen werden, wie viele Personen tatsächlich eine ausländische
 Herkunft haben, wie lange die Person bereits in Deutschland lebt, oder wie ihre sozialen
 Anbindungen in Deutschland sind. Für die Variablengruppe "Ethno" können auf Grundlage der
 Analyse folgende Sprachabstammungen gebildet werden: Türkei, Italien, Griechenland,
 Spanien/Portugal/Lateinamerika, Spätaussiedler aus der früheren Sowjetunion, Osteuropa,
 Balkan, Afrika südlich der Sahra, außereuropäische islamische Staaten und Süd-, Ost- und
 Südostasien (microm 2014, S. 96f.). Die Variablengruppe "Ethno" wird ursprünglich auf
 PLZ-8 Ebene ausgewiesen und für den Datensatz auf das Raster
 heruntergerechnet.
description: RWI-GEO-GRID
description: RWI-GEO-GRID
description: Microm verwendet schätzungsweise über eine Milliarde Einzelinformationen, die
 in den microm Datensatz einfließen. Die Grundlage für die Informationsgewinnung bilden
 im Wesentlichen Informationen über ca. 40,7 Millionen Haushalte in Deutschland. Die
 Daten werden jedoch nicht für die einzelnen Haushalte sondern für die rund 19,7
 Millionen Häuser in Deutschland ausgewiesen (microm 2014, Seite 1). Aus
 datenschutzrechtlichen Gründen werden Häuser, die zu einem Wohnumfeld gehören, zu
 einem „virtuellen“ mikrogeografischen Segment (sog. Mikrozelle) gebündelt, das
 durchschnittlich acht, mindestens aber fünf Häuser umfasst. So werden aus den
 benutzten Grunddaten Informationen zu den Haushaltsstrukturen generiert, die dann
 wiederum in weitere Hochrechnungen einfließen. Wann immer dies möglich ist, werden die
 errechneten Daten mit anderen Datenquellen wie beispielsweise amtlichen Daten, die auf
 einer höheren Aggregationsstufe vorliegen, abgeglichen (microm 2014, Seite 2). Darüber
 hinaus nutzt microm die Möglichkeit seine Wohnumfelder zu geocodieren, das heißt, den
 Wohnfeldern werden Koordinaten zugewiesen. Dadurch wird die Möglichkeit geschaffen,
 diese Informationen den einzelnen Rastern zuzuordnen und auf dieser Ebene zu
 aggregieren.
DOI: 10.13140/rg.2.2.13990.54087
title: College of Agriculture and Technology, Northwest Samar State University (CAT, NwSSU), Calbayog City Samar Philippines Extension Banner Program
DOI: 10.18419/darus-3514
title: Replication Code for: Meta-Uncertainty in Bayesian Model Comparison

description: This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: &lt;a href="https://doi.org/10.48550/arXiv.2210.07278"&gt;https://doi.org/10.48550/arXiv.2210.07278&lt;/a&gt;

Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via &lt;code&gt;library(MetaUncertaintyPaper)&lt;/code&gt;.

The experiments from the accompanying paper (see below) are implemented in the &lt;code&gt;experiments/&lt;/code&gt; directory.

All installation instructions can be found in the README.
description: R, 4.1.2
description: Python, 3.9
DOI: 10.15468/dl.jpfwxk
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luciobarbus microcephalus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 192 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015755-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s98wa5
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "Geometry POLYGON ((11.49762 42.77823, 11.51762 42.77823, 11.51762 42.79823, 11.49762 42.79823, 11.49762 42.77823))"
 ]
}

 The dataset includes 365 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015756-250920141307145/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.30209056
title: <i>Coding Assignment Submissions and Feedback Data for .NET Web Programming</i>

description: This dataset contains programming assignment submissions in .NET Web development from students, along with the corresponding feedback information. The data was collected as part of a study evaluating an automated feedback pipeline that integrates large language models, retrieval-augmented generation, and static code analysis to generate concept-linked feedback for learners.The dataset is organized into several files and subfolders (example structure – adjust according to your actual files):File/FolderDescriptionFormatSize / RecordsNotes<code>submissions.csv</code>Metadata of student submissions (student ID, assignment ID, timestamp, filename, code reference)CSV~ N recordsOne row per submission<code>feedbacks.csv</code>Concept-linked feedback generated by the system (student_id, assignment_id, feedback_text, feedback_type, …)CSV~ M recordsFeedback type: syntax, logic, performance, etc.<code>static_analysis_results.csv</code>Results of static code analysis (errors, warnings, code complexity)CSV / JSON–Includes: submission_id, warning_type, line_number, message<code>retrieval_matches.csv</code>Snippets or examples retrieved to support feedback generationCSV–Fields: feedback_id, example_snippet_id, similarity_score<code>raw_code/</code>Folder with raw source code of submissions.cs / .zip–Named as <code>studentID_assignmentID_version.cs</code><code>metadata.json</code>General metadata about the dataset (field descriptions, collection dates, version)JSON1 fileExplains all fields and schema<br>
DOI: 10.6084/m9.figshare.30209056.v1
title: <i>Coding Assignment Submissions and Feedback Data for .NET Web Programming</i>

description: This dataset contains programming assignment submissions in .NET Web development from students, along with the corresponding feedback information. The data was collected as part of a study evaluating an automated feedback pipeline that integrates large language models, retrieval-augmented generation, and static code analysis to generate concept-linked feedback for learners.The dataset is organized into several files and subfolders (example structure – adjust according to your actual files):File/FolderDescriptionFormatSize / RecordsNotes<code>submissions.csv</code>Metadata of student submissions (student ID, assignment ID, timestamp, filename, code reference)CSV~ N recordsOne row per submission<code>feedbacks.csv</code>Concept-linked feedback generated by the system (student_id, assignment_id, feedback_text, feedback_type, …)CSV~ M recordsFeedback type: syntax, logic, performance, etc.<code>static_analysis_results.csv</code>Results of static code analysis (errors, warnings, code complexity)CSV / JSON–Includes: submission_id, warning_type, line_number, message<code>retrieval_matches.csv</code>Snippets or examples retrieved to support feedback generationCSV–Fields: feedback_id, example_snippet_id, similarity_score<code>raw_code/</code>Folder with raw source code of submissions.cs / .zip–Named as <code>studentID_assignmentID_version.cs</code><code>metadata.json</code>General metadata about the dataset (field descriptions, collection dates, version)JSON1 fileExplains all fields and schema<br>
DOI: 10.6084/m9.figshare.28081604
title: Chromosome-scale assembly of Capsella orientalis, maternal progenitor of cosmopolitan hybrid C. bursa-pastoris

description: The database contains a chromosome-scale genome assembly of Capsella orientalis, the maternal progenitor of a cosmopolitan allotetraploid C. bursa-pastoris. Using nanopore sequencing and data on chromatin contacts (HiC) we assembled the genome into eight pseudo-chromosomes with high contiguity, evidenced by a BUSCO completeness score of 99.3%. The genome annotation includes 27,889 protein-coding genes, with most exhibiting one-to-one orthology with Arabidopsis thaliana. These results establish a robust genomic resource for C. orientalis, facilitating future studies on polyploid evolution, gene regulation, and species divergence within Capsella.
DOI: 10.6084/m9.figshare.28081604.v1
title: Chromosome-scale assembly of Capsella orientalis, maternal progenitor of cosmopolitan hybrid C. bursa-pastoris

description: The database contains a chromosome-scale genome assembly of Capsella orientalis, the maternal progenitor of a cosmopolitan allotetraploid C. bursa-pastoris. Using nanopore sequencing and data on chromatin contacts (HiC) we assembled the genome into eight pseudo-chromosomes with high contiguity, evidenced by a BUSCO completeness score of 99.3%. The genome annotation includes 27,889 protein-coding genes, with most exhibiting one-to-one orthology with Arabidopsis thaliana. These results establish a robust genomic resource for C. orientalis, facilitating future studies on polyploid evolution, gene regulation, and species divergence within Capsella.
DOI: 10.6084/m9.figshare.28081604.v2
title: Chromosome-scale assembly of Capsella orientalis, maternal progenitor of cosmopolitan hybrid C. bursa-pastoris

description: The database contains a chromosome-scale genome assembly of Capsella orientalis, the maternal progenitor of a cosmopolitan allotetraploid C. bursa-pastoris. Using nanopore sequencing and data on chromatin contacts (HiC) we assembled the genome into eight pseudo-chromosomes with high contiguity, evidenced by a BUSCO completeness score of 99.3%. The genome annotation includes 27,889 protein-coding genes, with most exhibiting one-to-one orthology with Arabidopsis thaliana. These results establish a robust genomic resource for C. orientalis, facilitating future studies on polyploid evolution, gene regulation, and species divergence within Capsella.
DOI: 10.15468/dl.xksryv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sempervivum tectorum",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015757-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7807/microm:einwohner:suf:v2
title: Sozioökonomische Daten auf Rasterebene (SUF 2). Einwohner
title: Socio-Economic Data on grid level (SUF 2). Population

description: Die Einwohnerstruktur weist die Absolutzahl der Einwohner pro Gebietsebene aus. Komplementär zu diesem Datensatz liegt auch die Alters- und Geschlechtsstruktur der Einwohner als separater Datensatz vor und ist unter der DOI 10.7807/microm:einwGeAl:V1 erhältlich.
description: RWI-GEO-GRID
description: RWI-GEO-GRID
description: Microm verwendet schätzungsweise über eine Milliarde Einzelinformationen, die in den microm Datensatz einfließen. Die Grundlage für die Informationsgewinnung bilden im Wesentlichen Informationen über ca. 40,7 Millionen Haushalte in Deutschland. Die Daten werden jedoch nicht für die einzelnen Haushalte sondern für die rund 19,7 Millionen Häuser in Deutschland ausgewiesen (microm 2014, Seite 1). Aus datenschutzrechtlichen Gründen werden Häuser, die zu einem Wohnumfeld gehören, zu einem „virtuellen“ mikrogeografischen Segment (sog. Mikrozelle) gebündelt, das durchschnittlich acht, mindestens aber fünf Häuser umfasst. So werden aus den benutzten Grunddaten Informationen zu den Haushaltsstrukturen generiert, die dann wiederum in weitere Hochrechnungen einfließen. Wann immer dies möglich ist, werden die errechneten Daten mit anderen Datenquellen wie beispielsweise amtlichen Daten, die auf einer höheren Aggregationsstufe vorliegen, abgeglichen (microm 2014, Seite 2). Darüber hinaus nutzt microm die Möglichkeit seine Wohnumfelder zu geocodieren, das heißt, den Wohnfeldern werden Koordinaten zugewiesen. Dadurch wird die Möglichkeit geschaffen, diese Informationen den einzelnen Rastern zuzuordnen und auf dieser Ebene zu aggregieren.
DOI: 10.15468/dl.99xuse
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuora flavomarginata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 184 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015759-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdea5x
title: Occurrence Download

description: A dataset containing 1744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spizaetus isidori",
 "Country is Ecuador",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 2018"
 ]
}

 The dataset includes 1744 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015758-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-3733
title: Replication Data for: Hydrosilylation of Alkynes Under Continuous Flow Using Polyurethane-Based Monolithic Supports with Tailored Mesoporosity

description: All primary data files related to the publication. Procedures, recation conditions and used analytical equipment is discussed in detail in the experimental section or the supporting information of the paper. Novel complexes were examined via nuclear magnetic resonance (NMR) spectroscopy and the spectra can be found in NMR folder. The NMR folder also contains NMR experiments mentioned in the paper and shown in the Supplementary Information. NMR Spectra are named according to the numbering in the publication.