cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8108970
title: CLARA Knowledge Graph of licensed educational resources (RDF-star)

description: /!\ This deposit is deprecated; a more complete version of the deposit can be found here: 8403142. /!\

CLARAThis deposit is part of the CLARA project. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.

The present deposit contains the RDF files created using an RDF mapping (RML-star) and a mapper (Morph-KGC). The files used as inputs can be found here. That pipeline can be found on Gitlab. The data used in that pipeline originate from X5GON, a European project aiming to generate and gather open educational resources.

ContentThe present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).That information contains 



the author,

its title and description

the license,

a URL to the resource itself,

the language of the educational resource,

its mimetype,

and finally which subject it talks about, and to what extent.


That extent is given by two scores, a PageRank score and a cosinus score (that were not calculated on our graph but during the X5GON project)

A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.Other versions of the same deposit can be found using different reification models:



Standard reification

Named graphs

Singleton properties


The Knowledge Graph also contains categories originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.

The deposit contains five types of files:



Authors_[X].nt - Those contain the authors' nodes, their type, and name.

ER_[X].ttl - Those contain the educational resources and their information using RDF-star.

categories_skos_[X].ttl - Those contain the hierarchy of DBpedia categories.

categories_labels.ttl  - This file contains additional information about the categories.

categories_article.ttl - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.
description: This record and the related records are deprecated, move to this one for easier usability:  https://doi.org/10.5281/zenodo.8403142
DOI: 10.15468/dl.cshrqn
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Burkina Faso",
 "OccurrenceStatus is Present",
 "TaxonKey is Anopheles arabiensis Patton, 1905"
 ]
}

 The dataset includes 175 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050665-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8108962
title: CLARA Knowledge Graph of licensed educational resources (Singleton properties)

description: /!\ This deposit is deprecated; a more complete version of the deposit can be found here: 8403142. /!\

CLARAThis deposit is part of the CLARA project. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.

The present deposit contains the RDF files created using an RDF mapping (RML) and a mapper (Morph-KGC). The files used as inputs can be found here. That pipeline can be found on Gitlab. The data used in that pipeline originate from X5GON, a European project aiming to generate and gather open educational resources.

ContentThe present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).That information contains 



the author,

its title and description

the license,

a URL to the resource itself,

the language of the educational resource,

its mimetype,

and finally which subject it talks about, and to what extent.


That extent is given by two scores, a PageRank score and a cosinus score (that were not calculated on our graph but during the X5GON project)

A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.Other versions of the same deposit can be found using different reification models:



Standard reification

Named graphs

RDF-star


The Knowledge Graph also contains categories originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.

The deposit contains five types of files:



Authors_[X].nt - Those contain the authors' nodes, their type, and name.

ER_[X].nt - Those contain the educational resources and their information using singleton properties.

categories_skos_[X].ttl - Those contain the hierarchy of DBpedia categories.

categories_labels.ttl  - This file contains additional information about the categories.

categories_article.ttl - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.
description: This record and the related records are deprecated, move to this one for easier usability:  https://doi.org/10.5281/zenodo.8403142
DOI: 10.5281/zenodo.8108963
title: CLARA Knowledge Graph of licensed educational resources (Singleton properties)

description: /!\ This deposit is deprecated; a more complete version of the deposit can be found here: 8403142. /!\

CLARAThis deposit is part of the CLARA project. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.

The present deposit contains the RDF files created using an RDF mapping (RML) and a mapper (Morph-KGC). The files used as inputs can be found here. That pipeline can be found on Gitlab. The data used in that pipeline originate from X5GON, a European project aiming to generate and gather open educational resources.

ContentThe present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).That information contains 



the author,

its title and description

the license,

a URL to the resource itself,

the language of the educational resource,

its mimetype,

and finally which subject it talks about, and to what extent.


That extent is given by two scores, a PageRank score and a cosinus score (that were not calculated on our graph but during the X5GON project)

A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.Other versions of the same deposit can be found using different reification models:



Standard reification

Named graphs

RDF-star


The Knowledge Graph also contains categories originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.

The deposit contains five types of files:



Authors_[X].nt - Those contain the authors' nodes, their type, and name.

ER_[X].nt - Those contain the educational resources and their information using singleton properties.

categories_skos_[X].ttl - Those contain the hierarchy of DBpedia categories.

categories_labels.ttl  - This file contains additional information about the categories.

categories_article.ttl - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.
description: This record and the related records are deprecated, move to this one for easier usability:  https://doi.org/10.5281/zenodo.8403142
DOI: 10.6084/m9.figshare.29211818
title: Integrated Analysis of Slow Transit Constipation and Colorectal Cancer Reveals the Co-Pathogenic Targets and Their Potential Clinical Value

description: Slow transit constipation (STC) is a potential risk of the onset of colorectal cancer (CRC). Thus, the purpose of this work is to focus on the co-pathogenic targets between STC and CRC, meanwhile evaluating their prognostic value for CRC. The miRNA and mRNA data of STC and CRC were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. The prognostic signature was constructed based on hub genes, which identified using differential expression analysis and LASSO Cox regression analysis. The hub genes were validated employing multiple public databases. Enrichment analysis was employed to elucidate their functions. Survival analysis was performed using Kaplan-Meier method. Transcription factor binding sites were predicted and verified using FIMO and ChIP-seq database, respectively. We identified four common key differentially expressed miRNAs of STC and CRC, including hsa-miR-340, hsa-miR-30b, hsa-miR-20b, and hsa-miR-29c (p-value &lt;0.05), and their targets were involved in the CRC’s metabolic processes (all p-values &lt;0.05). We developed a prognostic signature based on nine hub genes, and patient prognosis could be predicted employing Risk score = 0.099063054* <i>NOG</i> + 0.074815408* <i>PLD5</i> + 0.003499667* <i>NOVA1</i> + 0.051762032*<i>DTNA</i> + 0.050495722* <i>GPR26</i> + 0.045057094* <i>TNFAIP8L3</i> + 0.097209257* <i>SLC29A4</i>+ (-0.246941474)* <i>CCNJL</i> + 0.039294168* <i>TRABD2B</i>. High-risk patients exhibited significantly poorer prognosis (p-value &lt;0.05). The hub genes <i>CCNJL</i>, <i>NOVA1</i>, <i>PLD5</i>, and <i>SLC29A4</i> were significantly down-regulated targets of hsa-miR-340 in the CRC samples (p-value &lt;0.05). Functional analyses suggested their involvement in immune-related processes (all p-values &lt;0.05). Our exploration of upstream regulators revealed six and one reliable transcription factors for <i>CCNJL</i> and <i>SLC29A4</i>, respectively. This study delved into common biomarkers between STC and CRC, and developed a reliable prognostic signature for CRC.
DOI: 10.6084/m9.figshare.29211818.v1
title: Integrated Analysis of Slow Transit Constipation and Colorectal Cancer Reveals the Co-Pathogenic Targets and Their Potential Clinical Value

description: Slow transit constipation (STC) is a potential risk of the onset of colorectal cancer (CRC). Thus, the purpose of this work is to focus on the co-pathogenic targets between STC and CRC, meanwhile evaluating their prognostic value for CRC. The miRNA and mRNA data of STC and CRC were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. The prognostic signature was constructed based on hub genes, which identified using differential expression analysis and LASSO Cox regression analysis. The hub genes were validated employing multiple public databases. Enrichment analysis was employed to elucidate their functions. Survival analysis was performed using Kaplan-Meier method. Transcription factor binding sites were predicted and verified using FIMO and ChIP-seq database, respectively. We identified four common key differentially expressed miRNAs of STC and CRC, including hsa-miR-340, hsa-miR-30b, hsa-miR-20b, and hsa-miR-29c (p-value &lt;0.05), and their targets were involved in the CRC’s metabolic processes (all p-values &lt;0.05). We developed a prognostic signature based on nine hub genes, and patient prognosis could be predicted employing Risk score = 0.099063054* <i>NOG</i> + 0.074815408* <i>PLD5</i> + 0.003499667* <i>NOVA1</i> + 0.051762032*<i>DTNA</i> + 0.050495722* <i>GPR26</i> + 0.045057094* <i>TNFAIP8L3</i> + 0.097209257* <i>SLC29A4</i>+ (-0.246941474)* <i>CCNJL</i> + 0.039294168* <i>TRABD2B</i>. High-risk patients exhibited significantly poorer prognosis (p-value &lt;0.05). The hub genes <i>CCNJL</i>, <i>NOVA1</i>, <i>PLD5</i>, and <i>SLC29A4</i> were significantly down-regulated targets of hsa-miR-340 in the CRC samples (p-value &lt;0.05). Functional analyses suggested their involvement in immune-related processes (all p-values &lt;0.05). Our exploration of upstream regulators revealed six and one reliable transcription factors for <i>CCNJL</i> and <i>SLC29A4</i>, respectively. This study delved into common biomarkers between STC and CRC, and developed a reliable prognostic signature for CRC.
DOI: 10.5281/zenodo.8108947
title: CLARA Knowledge Graph of licensed educational resources (Named graphs)

description: /!\ This deposit is deprecated; a more complete version of the deposit can be found here: 8403142. /!\

CLARAThis deposit is part of the CLARA project. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.

The present deposit contains the RDF files created using an RDF mapping (RML) and a mapper (Morph-KGC). The files used as inputs can be found here. That pipeline can be found on Gitlab. The data used in that pipeline originate from X5GON, a European project aiming to generate and gather open educational resources.

ContentThe present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).That information contains 



the author,

its title and description

the license,

a URL to the resource itself,

the language of the educational resource,

its mimetype,

and finally which subject it talks about, and to what extent.


That extent is given by two scores, a PageRank score and a cosinus score (that were not calculated on our graph but during the X5GON project)

A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.Other versions of the same deposit can be found using different reification models:



Standard reification

Singleton properties

RDF-star


The Knowledge Graph also contains categories originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.

The deposit contains five types of files:



Authors_[X].nt - Those contain the authors' nodes, their type, and name.

ER_[X].nq - Those contain the educational resources and their information using named graphs.

categories_skos_[X].ttl - Those contain the hierarchy of DBpedia categories.

categories_labels.ttl  - This file contains additional information about the categories.

categories_article.ttl - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.
description: This record and the related records are deprecated, move to this one for easier usability:  https://doi.org/10.5281/zenodo.8403142
DOI: 10.5281/zenodo.8108948
title: CLARA Knowledge Graph of licensed educational resources (Named graphs)

description: /!\ This deposit is deprecated; a more complete version of the deposit can be found here: 8403142. /!\

CLARAThis deposit is part of the CLARA project. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.

The present deposit contains the RDF files created using an RDF mapping (RML) and a mapper (Morph-KGC). The files used as inputs can be found here. That pipeline can be found on Gitlab. The data used in that pipeline originate from X5GON, a European project aiming to generate and gather open educational resources.

ContentThe present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).That information contains 



the author,

its title and description

the license,

a URL to the resource itself,

the language of the educational resource,

its mimetype,

and finally which subject it talks about, and to what extent.


That extent is given by two scores, a PageRank score and a cosinus score (that were not calculated on our graph but during the X5GON project)

A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.Other versions of the same deposit can be found using different reification models:



Standard reification

Singleton properties

RDF-star


The Knowledge Graph also contains categories originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.

The deposit contains five types of files:



Authors_[X].nt - Those contain the authors' nodes, their type, and name.

ER_[X].nq - Those contain the educational resources and their information using named graphs.

categories_skos_[X].ttl - Those contain the hierarchy of DBpedia categories.

categories_labels.ttl  - This file contains additional information about the categories.

categories_article.ttl - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.
description: This record and the related records are deprecated, move to this one for easier usability:  https://doi.org/10.5281/zenodo.8403142
DOI: 10.3886/e233121
title: Replication Package for Power for progress: The impact of electricity on individual labor market outcomes

description: Replication package for Power for Progress: The Impact of Electricity on Individual Labor Market Outcomes<br>
description: Swedish labor market.
DOI: 10.3886/e233121v2
title: Replication Package for Power for progress: The impact of electricity on individual labor market outcomes

description: Replication package for Power for Progress: The Impact of Electricity on Individual Labor Market Outcomes<br>
description: Swedish labor market.
DOI: 10.15468/dl.hcs5v5
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amana baohuaensis B.X.Han, Long Wang & G.Y.Lu"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050669-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4qcqe
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Australian Museum provider for OZCAM",
 "Country is Croatia"
 ]
}

 The dataset includes 166 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050672-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suup82
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "Geometry POLYGON((103.42253 22.14012,104.30752 22.14012,104.30752 22.49397,103.42253 22.49397,103.42253 22.14012))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carnivora"
 ]
}

 The dataset includes 42 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050668-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxeqra
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophioglossum lancifolium C.Presl",
 "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/0050673-250525065834625/datasets/export for details.
DOI: 10.15468/dl.dcjdru
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Algae herbarium TRH, NTNU University Museum",
 "Country is Croatia"
 ]
}

 The dataset includes 326 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050671-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8108855
title: CLARA Knowledge Graph of licensed educational resources (Standard reification)

description: /!\ This deposit is deprecated; a more complete version of the deposit can be found here: 8403142. /!\

CLARAThis deposit is part of the CLARA project. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.

The present deposit contains the RDF files created using an RDF mapping (RML) and a mapper (Morph-KGC). The files used as inputs can be found here. That pipeline can be found on Gitlab. The data used in that pipeline originate from X5GON, a European project aiming to generate and gather open educational resources.

ContentThe present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).That information contains 



the author,

its title and description

the license,

a URL to the resource itself,

the language of the educational resource,

its mimetype,

and finally which subject it talks about, and to what extent.


That extent is given by two scores, a PageRank score and a cosinus score (that were not calculated on our graph but during the X5GON project)

A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.Other versions of the same deposit can be found using different reification models:



Named graphs

Singleton properties

RDF-star


The Knowledge Graph also contains categories originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.

The deposit contains five types of files:



Authors_[X].nt - Those contain the authors' nodes, their type, and name.

ER_[X].nt - Those contain the educational resources and their information using standard reification.

categories_skos_[X].ttl - Those contain the hierarchy of DBpedia categories.

categories_labels.ttl  - This file contains additional information about the categories.

categories_article.ttl - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.
description: This record and the related records are deprecated, move to this one for easier usability:  https://doi.org/10.5281/zenodo.8403142