cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18509156
title: Data for "Challenges and Opportunities in Single-Sample Network Modeling"

description: This repository stores the data that were used as the basis for the analyses in "Challenges and Opportunities for Single Sample Network Modeling".

Corresponding code can be found at https://github.com/kimberlyglass/single-sample-networks.

To easily run the github code, the three files in this repository should be added into the "Data" directory and "GTExData.zip" should be un-zipped.

 

The files included in this repository include:

(1) InSilicoData.mat -- a "mat" file containing generated data for 6 genes and 600 samples based on three known network structures (250 in sample set 1, 250 in sample set 2, and 100 in sample set 3). Used for the "toy data" analysis and created using MakeInSilicoData.m. This file stores the following variables:

-- 'ExpData': a 6 by 600 matrix containing simulated gene expression values.

-- 'SSNets': a 6 element cell array. Each element contains a 15 by 600 matrix with the inferred edge weights for each sample based on applying six different single-sample network modeling approaches: LIONESS::PCC, SSN, SWEET, BONOBO, LIONESS::MI, CSN.

-- 'numsampOrg': the number of samples in sample set 1 (one clique) and in sample set 2 (two cliques); value is 250.

-- 'numsampRnd': the number of "noisy" samples in sample set 3; value is 100.

-- 'NodeIdx': a 6-choose-2 = 15 by 2 matrix with the edge information for the inferred single-sample networks.

 

(2) GTEx_MixData3.mat -- a "mat" file containing gene expression data for 250 samples in each of 15 different tissues. The 13281 genes in these data are protein-coding genes with a median expression of at least 2 in all 15 tissues. Used for the GTEx / human data analysis and created using MakeGTEx_MixData3.m. This file stores the following variables:

-- 'ExpData': a 13281 by 3750 matrix containg gene expression values from GTEx.

-- 'GeneSymbols': the names of genes in the rows of 'ExpData'

-- 'Tissue': the tissues for the samples in the columns of 'ExpData'

 

(3) GTExData.zip -- a zip of the "GTExData" subdirectory, which contains GTEx data files that were parsed to create the GTEx_MaxData3.mat file. These files include:

-- GTEx_NormExpressionData.txt: a file containing gene expression data from GTEx, processed as described in PMID#29069589.

-- GTEx_AnnInfo_AllGenes.txt: a file containing information about the genes in "GTEx_NormExpressionData.txt"

-- GTEx_SampleInfo.txt: a file containing information about the samples in "GTEx_NormExpressionData.txt"
DOI: 10.6084/m9.figshare.31412657
title: <b>Pragmatically Adapted Pediatric-Inspired Induction Regimen for Adults with Acute Lymphoblastic Leukemia in a Resource-Restricted Setting</b>

description: This prospective observational study evaluated whether a pragmatically adapted pediatric-inspired induction regimen for adults with Philadelphia chromosome–negative acute lymphoblastic leukemia can be delivered safely in a Pakistani public-sector oncology center. We quantified diagnostic and therapeutic feasibility (access to immunophenotyping/cytogenetics/MRD testing, completion of induction, interruptions/abandonment) alongside early outcomes (remission, grade 3–4 toxicities, early mortality).
DOI: 10.6084/m9.figshare.31412657.v1
title: <b>Pragmatically Adapted Pediatric-Inspired Induction Regimen for Adults with Acute Lymphoblastic Leukemia in a Resource-Restricted Setting</b>

description: This prospective observational study evaluated whether a pragmatically adapted pediatric-inspired induction regimen for adults with Philadelphia chromosome–negative acute lymphoblastic leukemia can be delivered safely in a Pakistani public-sector oncology center. We quantified diagnostic and therapeutic feasibility (access to immunophenotyping/cytogenetics/MRD testing, completion of induction, interruptions/abandonment) alongside early outcomes (remission, grade 3–4 toxicities, early mortality).
DOI: 10.5519/qd.p3gtqd8x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (96 records)
DOI: 10.15468/dl.2myr96
title: Occurrence Download

description: A dataset containing 30534484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is Texas",
 "Year 2020-2023"
 ]
}

 The dataset includes 30534484 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000444-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfekxq
title: Occurrence Download

description: A dataset containing 7665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (aripla, arisonm123, armchair_qb3, aross0805, Arthur Whiting, arvande, ash_waletski, Asher Perla, ashleevv, Ashley D, ashquarter8, askalotl, atomiclizard, atorstenson, ats7277, aubematte, Auden, audrey-smith, audreyschlicher, augien, augochlora, auntabecka, auntruslav, Aurelle Joseph, austiinfrankliin, austinlan, Autumn Bragg, avabelrose, avacash, avalonyuhas, avernusvenine, Avery Allert, Avery Johnsmeyer, Averyl, aves001, avrede, avrilljohn, awalke08, axicus, Ayden Van Fossen, b, b2422, bandit11, barefoothippie0883, baylorjs, bcfranta, bcur155, bdoyle98, beaglybeagle, bec_smythe)",
 "TaxonKey is Animalia",
 {
 "not" : {
 "TaxonKey" : [
 "is Chordata"
 ]
 }
 }
 ]
}

 The dataset includes 7665 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009431-260221153910048/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.31412689
title: Unpacking assessment literacy: developing a questionnaire on aspects of assessment literacy teachers consider important

description: Assessment literacy is an important part of teachers’ competence because teachers rely on assessments to gather information about students’ performance. It is increasingly understood as a dynamic and context-dependent social process. Within this process, teachers’ conceptions serve as filters that influence how assessment literacy is enacted. Consequently, gaining insight into what teachers consider important for assessment literacy in practice becomes imperative. However, no instrument has yet been available to explore which aspects teachers value for assessment literacy in practice. In this study, a questionnaire was developed and validated among 510 Dutch teachers in higher professional education. The results of the confirmatory factor analyses showed a satisfactory model fit, identifying eight aspects of assessment literacy that higher education teachers consider important in their assessment practice. The scales exhibited good internal consistency reliability. This new questionnaire provides an instrument to explore aspects of assessment literacy that teachers consider important in their assessment practice. The outcomes can offer insight into how assessment literacy is understood as reflected in teachers’ assessment practices, thereby informing the design of professional development that is responsive to their practices.
DOI: 10.6084/m9.figshare.31412689.v1
title: Unpacking assessment literacy: developing a questionnaire on aspects of assessment literacy teachers consider important

description: Assessment literacy is an important part of teachers’ competence because teachers rely on assessments to gather information about students’ performance. It is increasingly understood as a dynamic and context-dependent social process. Within this process, teachers’ conceptions serve as filters that influence how assessment literacy is enacted. Consequently, gaining insight into what teachers consider important for assessment literacy in practice becomes imperative. However, no instrument has yet been available to explore which aspects teachers value for assessment literacy in practice. In this study, a questionnaire was developed and validated among 510 Dutch teachers in higher professional education. The results of the confirmatory factor analyses showed a satisfactory model fit, identifying eight aspects of assessment literacy that higher education teachers consider important in their assessment practice. The scales exhibited good internal consistency reliability. This new questionnaire provides an instrument to explore aspects of assessment literacy that teachers consider important in their assessment practice. The outcomes can offer insight into how assessment literacy is understood as reflected in teachers’ assessment practices, thereby informing the design of professional development that is responsive to their practices.
DOI: 10.48580/d4rx
title: 3i World Auchenorrhyncha Database
DOI: 10.15468/dl.qrnnap
title: Occurrence Download

description: A dataset containing 14565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus",
 {
 "or" : [
 "Year 1990-2005",
 "Year 2006-2015",
 "Year 2016-2026"
 ]
 }
 ]
}

 The dataset includes 14565 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8fd2e
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Molva molva"
 ]
}

 The dataset includes 58 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000523-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnm6p9
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.67337 56.05511,-2.60832 56.05511,-2.60832 56.08787,-2.67337 56.08787,-2.67337 56.05511))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Morus bassanus",
 "Year is 2022"
 ]
}

 The dataset includes 76 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000526-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18775704
title: THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN THE FIELD OF EDUCATION

description: This article discusses the role of artificial intelligence in the field of education, methods of using AI, and advanced best practices. It also explains the main functions of AI and its benefits in the educational process. The article provides specific methodological recommendations, lesson plans, and practical examples for applying AI tools in various subjects (reading literacy, natural sciences, and English language classes). In addition, it scientifically analyzes the advantages of AI technologies, potential pedagogical risks, the role of teachers, and the ways of implementing AI in primary schools of Uzbekistan.
DOI: 10.5281/zenodo.18775703
title: THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN THE FIELD OF EDUCATION

description: This article discusses the role of artificial intelligence in the field of education, methods of using AI, and advanced best practices. It also explains the main functions of AI and its benefits in the educational process. The article provides specific methodological recommendations, lesson plans, and practical examples for applying AI tools in various subjects (reading literacy, natural sciences, and English language classes). In addition, it scientifically analyzes the advantages of AI technologies, potential pedagogical risks, the role of teachers, and the ways of implementing AI in primary schools of Uzbekistan.
DOI: 10.6084/m9.figshare.31412654
title: <b>Tutor IntroComp – Artefatos de Implementação e Validação</b>

description: Este repositório reúne os artefatos completos de implementação e validação do Tutor IntroComp, um agente pedagógico baseado em LLM desenvolvido para a disciplina de Introdução à Computação em Python.O tutor foi implementado como um GPT Personalizado na plataforma ChatGPT e estruturado com base em um fluxo progressivo de níveis de ajuda (N0–N4), visando preservar a autoria do estudante por meio de pistas graduais, passos curtos e exigência de tentativas antes da progressão.Estão disponibilizados neste repositório:Prompt mestre utilizado na configuração do modelo;Guia de Pistas por Tópico, organizado por níveis de ajuda;Caderno de Exemplos Dialogados, contendo diálogos modelo para estabilização de formato e tom;Planilhas de validação interna (cenários simulados, métricas e checklist por sessão);A validação descrita no artigo foi interna e controlada, baseada em cenários simulados típicos da disciplina, sem participação direta de estudantes.O objetivo da disponibilização pública é garantir reprodutibilidade metodológica, transparência científica e possibilidade de reutilização ou adaptação do modelo em outros contextos educacionais.
DOI: 10.6084/m9.figshare.31412654.v1
title: <b>Tutor IntroComp – Artefatos de Implementação e Validação</b>

description: Este repositório reúne os artefatos completos de implementação e validação do Tutor IntroComp, um agente pedagógico baseado em LLM desenvolvido para a disciplina de Introdução à Computação em Python.O tutor foi implementado como um GPT Personalizado na plataforma ChatGPT e estruturado com base em um fluxo progressivo de níveis de ajuda (N0–N4), visando preservar a autoria do estudante por meio de pistas graduais, passos curtos e exigência de tentativas antes da progressão.Estão disponibilizados neste repositório:Prompt mestre utilizado na configuração do modelo;Guia de Pistas por Tópico, organizado por níveis de ajuda;Caderno de Exemplos Dialogados, contendo diálogos modelo para estabilização de formato e tom;Planilhas de validação interna (cenários simulados, métricas e checklist por sessão);A validação descrita no artigo foi interna e controlada, baseada em cenários simulados típicos da disciplina, sem participação direta de estudantes.O objetivo da disponibilização pública é garantir reprodutibilidade metodológica, transparência científica e possibilidade de reutilização ou adaptação do modelo em outros contextos educacionais.
DOI: 10.15468/dl.2wrat4
title: Occurrence Download

description: A dataset containing 15669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Globicephala macrorhynchus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15669 records from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000522-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2m3yh
title: Occurrence Download

description: A dataset containing 40944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Grampus griseus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40944 records from 463 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000525-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzzcuz
title: Occurrence Download

description: A dataset containing 1920987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psittacula krameri",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 1920987 records from 1252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000488-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5j2qt
title: Occurrence Download

description: A dataset containing 130287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cathartes burrovianus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 130287 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085872-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-857962
title: Reducing Land Degradation and Carbon Loss from Ethiopia's Soils to Strengthen Livelihoods and Resilience, 2019-2024

description: Two household surveys conducted in February/March 2021 (baseline) and February/March 2023 (endline) in Southern Ethiopia in localities (kebeles) where land was judged to be highly degraded. The endline survey aimed to collect data from the same set of households (and respondents) as in the baseline survey. The data collected included a discrete choice experiment (DCE)on preferences over local community choices on land management, experience and attitudes to land degradation, plus demographic, land use and livelihood information. The second survey also collected information on knowledge, attitudes, and behaviour with respect to different types of gully interventions. 
The data collected was designed to allow specific interventions to be evaluated. In two treatment kebele the Ethiopian Bureau of Agriculture provided resources to selected groups to enable them to undertake new productive activities in beekeeping, sheep and oxen rearing drawing on the resources of local “exclosure areas”. Data was collected both from these areas in the surveys plus in two control districts. In addition, in one kebele on-farm field experiments on low-cost gully rehabilitation measures were undertaken and demonstrated to the community.
DOI: 10.15468/dl.4wxvbk
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dorosoma chavesi)",
 "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 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085907-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm4ern
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thoburnia atripinnis)",
 "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 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078120-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vw9x7
title: Occurrence Download

description: A dataset containing 1625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana iguana",
 "Year 2000-2025"
 ]
}

 The dataset includes 1625 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078121-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bww8zx
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nerthra fuscipes",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078122-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1409115.10fu
title: SH1409115.10FU

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/sh1409117.10fu
title: SH1409117.10FU

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.ge8rpt
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.62453 44.78067,13.97225 44.28362,14.60204 43.16207,16.85129 42.3861,17.21117 43.11283,16.96376 43.45667,16.244 43.97688,15.81664 44.42836,15.6367 44.9401,14.62453 44.78067))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079019-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.