cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18510943
title: SOME ASPECTS OF THE PRAGMATIC DIMENSIONS OF PEDAGOGY

description: In contemporary educational theory, increasing attention is being paid to the pragmatic dimensions of pedagogy, which focus on the practical use of language, interaction, and contextual meaning in teaching and learning processes. Pragmatics in pedagogy emphasizes not only what is taught, but how knowledge is communicated, interpreted, and applied in real educational settings. This article explores several key aspects of pedagogical pragmatics, including teacher–student interaction, contextualized learning, communicative intent, and the role of discourse in educational environments. The study highlights the importance of pragmatic competence in improving instructional effectiveness and fostering meaningful learning experiences. The findings suggest that integrating pragmatic principles into pedagogical practice contributes to learner autonomy, critical thinking, and adaptive communication skills.
DOI: 10.15468/dl.5ge6z3
title: Occurrence Download

description: A dataset containing 23571 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -24.552553756517728
 AND decimallatitude &lt;= -20.3845909579754
 AND decimallongitude &gt;= 41.53841948901044
 AND decimallongitude &lt;= 47.61041350707164
 AND GBIF_Within('POLYGON ((47.610414 -24.552554, 47.610414 -20.384591, 41.538419 -20.384591, 41.538419 -24.552554, 47.610414 -24.552554))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 23571 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017401-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18131/0m0ef-phj22
title: data files for Sadleir et al, "Annexin A6 membrane repair protein protects against amyloid-induced dystrophic neurites and tau phosphorylation in Alzheimer's disease model mice," 2025, Acta Neuropathologica

description: Excel files containing data used for graphs in the paper Sadleir KR, Gomez KP, Edwards AE, Patel AJ, Ley ML, Khatri AW, Guo J, Mahesh S, Watkins EA, Popovic J, Karunakaran DKP, Prokopenko D, Tanzi RE, Bustos B, Lubbe SJ, Demonbruen AR, McNally EM, Vassar R. Annexin A6 membrane repair protein protects against amyloid-induced dystrophic neurites and tau phosphorylation in Alzheimer's disease model mice. Acta Neuropathol. 2025 May 24;149(1):51. doi: 10.1007/s00401-025-02888-1. PMID: 40411591; PMCID: PMC12103342.
DOI: 10.18131/wx4gq-24n07
title: data files for Sadleir et al, "Annexin A6 membrane repair protein protects against amyloid-induced dystrophic neurites and tau phosphorylation in Alzheimer's disease model mice," 2025, Acta Neuropathologica

description: Excel files containing data used for graphs in the paper Sadleir KR, Gomez KP, Edwards AE, Patel AJ, Ley ML, Khatri AW, Guo J, Mahesh S, Watkins EA, Popovic J, Karunakaran DKP, Prokopenko D, Tanzi RE, Bustos B, Lubbe SJ, Demonbruen AR, McNally EM, Vassar R. Annexin A6 membrane repair protein protects against amyloid-induced dystrophic neurites and tau phosphorylation in Alzheimer's disease model mice. Acta Neuropathol. 2025 May 24;149(1):51. doi: 10.1007/s00401-025-02888-1. PMID: 40411591; PMCID: PMC12103342.
DOI: 10.5281/zenodo.18510907
title: Dataset for "Probing subsurface properties with mission hardware: lessons learnt from artificial impacts of Mars 2020"

description: "Probing subsurface properties with mission hardware: lessons learnt from artificial impacts of Mars 2020"

by Aleksandra J. Sokołowska, Ingrid J. Daubar, Gareth S. Collins, Fred Calef, and Alex Jones

 

This repository contains iSALE input files for simulations reported in the article above. See supplementary material of the paper for the definition of each run.
DOI: 10.5281/zenodo.18510906
title: Dataset for "Probing subsurface properties with mission hardware: lessons learnt from artificial impacts of Mars 2020"

description: "Probing subsurface properties with mission hardware: lessons learnt from artificial impacts of Mars 2020"

by Aleksandra J. Sokołowska, Ingrid J. Daubar, Gareth S. Collins, Fred Calef, and Alex Jones

 

This repository contains iSALE input files for simulations reported in the article above. See supplementary material of the paper for the definition of each run.
DOI: 10.15468/vrwza8
title: Integrative taxonomy study of brackish water crabs of the genus Ptychognathus Stimpson, 1858 (Crustacea: Brachyura: Varunidae) from Polynesia, with description of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mazancourt, Valentin De, Mazel, Virgile, Marquet, Gérard, Poupin, Joseph, Keith, Philippe (2024): Integrative taxonomy study of brackish water crabs of the genus Ptychognathus Stimpson, 1858 (Crustacea: Brachyura: Varunidae) from Polynesia, with description of two new species. Zootaxa 5476 (1): 267-297, DOI: 10.11646/zootaxa.5476.1.23, URL: http://dx.doi.org/10.11646/zootaxa.5476.1.23AbstractIn the present contribution, five species of Ptychognathus Stimpson, 1858 are reported from Polynesia: P. crassimanus Finnegan, 1931, P. easteranus Rathbun, 1907, P. riedelii (A. Milne-Edwards, 1868) and two new species. The first new species named P. ngankeeae sp. nov. is close to P. barbatus (A. Milne-Edwards, 1873) from New Caledonia, which is here redescribed for comparison purposes. The second new species named P. similis sp. nov. is close to P. hachijoensis Sakai, 1955.
DOI: 10.6084/m9.figshare.31111786
title: Antimicrobial Resistance Profiles of Extensively and Pandrug-Resistant Acinetobacter baumannii Isolates from Iraqi Hospitals (2024–2025)

description: This dataset contains anonymized antimicrobial susceptibility and epidemiological data for 80 non-duplicate Acinetobacter baumannii clinical isolates recovered from high-risk hospital units in Kirkuk, Iraq, between 2024 and 2025.

The dataset supports a laboratory-based sentinel surveillance study investigating extensively drug-resistant (XDR) and pandrug-resistant (PDR) phenotypes and their associations with clinical and unit-level risk factors. Data include isolate-level resistance classification, hospital unit distribution, specimen type, and aggregated risk factor analysis.

All data are fully anonymized and were generated as part of routine laboratory surveillance.
DOI: 10.6084/m9.figshare.31111786.v1
title: Antimicrobial Resistance Profiles of Extensively and Pandrug-Resistant Acinetobacter baumannii Isolates from Iraqi Hospitals (2024–2025)

description: This dataset contains anonymized antimicrobial susceptibility and epidemiological data for 80 non-duplicate Acinetobacter baumannii clinical isolates recovered from high-risk hospital units in Kirkuk, Iraq, between 2024 and 2025.

The dataset supports a laboratory-based sentinel surveillance study investigating extensively drug-resistant (XDR) and pandrug-resistant (PDR) phenotypes and their associations with clinical and unit-level risk factors. Data include isolate-level resistance classification, hospital unit distribution, specimen type, and aggregated risk factor analysis.

All data are fully anonymized and were generated as part of routine laboratory surveillance.
DOI: 10.6084/m9.figshare.31111786.v2
title: Antimicrobial Resistance Profiles of Extensively and Pandrug-Resistant Acinetobacter baumannii Isolates from Iraqi Hospitals (2024–2025)

description: This dataset contains anonymized antimicrobial susceptibility and epidemiological data for 80 non-duplicate Acinetobacter baumannii clinical isolates recovered from high-risk hospital units in Kirkuk, Iraq, between 2024 and 2025.

The dataset supports a laboratory-based sentinel surveillance study investigating extensively drug-resistant (XDR) and pandrug-resistant (PDR) phenotypes and their associations with clinical and unit-level risk factors. Data include isolate-level resistance classification, hospital unit distribution, specimen type, and aggregated risk factor analysis.

All data are fully anonymized and were generated as part of routine laboratory surveillance.
DOI: 10.15468/dl.b5v7fz
title: Occurrence Download

description: A dataset containing 93337 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Antioquia)",
 "GadmGid is one of (COL)",
 "Geometry POLYGON((-75.30806 6.71838,-75.31042 6.35723,-74.86603 6.35567,-74.86917 6.71994,-75.30806 6.71838))"
 ]
 }
 ]
}

 The dataset includes 93337 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017384-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18510965
title: IMPROVING THE CLUSTER SYSTEM IN THE FRUIT AND VEGETABLE SECTOR: ORGANIZATIONAL AND ECONOMIC DIRECTIONS

description: This article analyzes the organizational and economic directions for improving the cluster system in the fruit and vegetable sector. Based on global and national experience, the study examines the features of formation and development of fruit and vegetable clusters and assesses their impact on economic efficiency, food security, and export potential. Using data from 2019–2024, key challenges in the operation of existing clusters are identified, and an improved cluster structure is proposed, focusing on the expanded use of digital technologies, the introduction of innovative financing mechanisms, the strengthening of sustainable development principles, and the integration of research activities. The proposed approach aims to expand the value-added chain and enhance the competitiveness of the fruit and vegetable sector.
DOI: 10.5281/zenodo.18510964
title: IMPROVING THE CLUSTER SYSTEM IN THE FRUIT AND VEGETABLE SECTOR: ORGANIZATIONAL AND ECONOMIC DIRECTIONS

description: This article analyzes the organizational and economic directions for improving the cluster system in the fruit and vegetable sector. Based on global and national experience, the study examines the features of formation and development of fruit and vegetable clusters and assesses their impact on economic efficiency, food security, and export potential. Using data from 2019–2024, key challenges in the operation of existing clusters are identified, and an improved cluster structure is proposed, focusing on the expanded use of digital technologies, the introduction of innovative financing mechanisms, the strengthening of sustainable development principles, and the integration of research activities. The proposed approach aims to expand the value-added chain and enhance the competitiveness of the fruit and vegetable sector.
DOI: 10.15468/dl.jurekb
title: Occurrence Download

description: A dataset containing 4675147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ClassKey is one of (Aves, Mammalia, Amphibia, Reptilia, Merostomata, )",
 "Geometry POLYGON ((-78.58748 -2.019349, -78.569 -2.146196, -78.55985 -2.169281, -78.50347 -2.293341, -77.77727 -3.169949, -68.85231 -13.62095, -68.85123 -13.62186, -68.70744 -13.7047, -68.42717 -13.76461, -68.29043 -13.78444, -67.82875 -13.80728, -67.68745 -13.78818, -67.08442 -13.61214, -66.95016 -13.56865, -66.83572 -13.48741, -66.83543 -13.48712, -66.70291 -13.35242, -66.63473 -13.25413, -66.63186 -13.24852, -66.53265 -13.03726, -58.36954 7.52627, -58.34693 7.655433, -58.36302 7.785565, -58.36435 7.790351, -58.37453 7.822249, -58.37477 7.822918, -58.39473 7.866998, -58.4036 7.885638, -58.42274 7.92452, -58.43325 7.941646, -58.46006 7.980513, -58.47518 8.000395, -58.47544 8.000729, -58.49344 8.022784, -58.49438 8.023857, -58.5316 8.065944, -58.79385 8.331019, -58.8005 8.33769, -58.84774 8.37984, -58.84812 8.380149, -58.88611 8.409853, -58.90965 8.426117, -58.91076 8.426854, -58.97175 8.465737, -59.17776 8.590279, -59.18192 8.592785, -59.45409 8.753051, -59.48427 8.769666, -59.4926 8.773843, -59.51103 8.782572, -59.54851 8.799282, -59.59514 8.817633, -59.59776 8.818619, -59.60901 8.822572, -59.6313 8.83008, -59.633 8.830596, -59.63451 8.831057, -59.69965 8.845738, -59.7008 8.845909, -59.73594 8.849729, -59.73807 8.849876, -59.79163 8.849738, -59.8005 8.849408, -59.82633 8.847423, -59.87101 8.84344, -59.87299 8.843145, -59.92118 8.833322, -59.92337 8.83275, -59.93846 8.82844, -59.94442 8.826672, -59.97177 8.817125, -59.97269 8.816771, -60.02103 8.796051, -60.02212 8.795496, -78.22285 -1.383991, -78.29621 -1.427354, -78.35981 -1.467726, -78.49099 -1.600176, -78.56291 -1.731357, -78.58768 -1.879069, -78.58767 -1.881231, -78.58766 -1.892869, -78.58766 -1.89297, -78.58766 -1.893769, -78.58764 -1.902959, -78.58761 -1.924678, -78.58758 -1.946397, -78.58755 -1.968111, -78.58753 -1.983056, -78.58753 -1.98332, -78.58753 -1.984129, -78.58748 -2.018928, -78.58748 -2.019216, -78.58748 -2.019315, -78.58748 -2.019349))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4675147 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017390-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm5d3x
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Lithobates virgatipes [GBIF Backbone Taxonomy])",
 "StateProvince is one of (North Carolina)"
 ]
 }
 ]
}

 The dataset includes 407 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017410-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17634053
title: Integrated Single-Cell Profiling of NK Cell Populations Across Solid Tumors
DOI: 10.5281/zenodo.17634052
title: Integrated Single-Cell Profiling of NK Cell Populations Across Solid Tumors
DOI: 10.5281/zenodo.17883690
title: GanCtrl: Synthetic Control Predictions for Liver and Kidney Clinical-Pathology Profiles (Open TG-GATEs)

description: This dataset contains real Open TG-GATEs–derived input files used to develop, train, and evaluate GanCtrl, a generative AI model that infers synthetic control profiles from time-matched treatment clinical-pathology data in repeated-dose rat studies from the Open TG-GATEs database. GanCtrl is trained to reconstruct the distribution of control responses conditional on treatment measurements, enabling reduction of real control animals in downstream analyses.

The provided CSVs are real, preprocessed inputs derived from Open TG-GATEs studies and include: (1) clinical-pathology measurements, (2) study/sample metadata required for grouping and evaluation, and (3) molecular descriptor features used by GanCtrl. These files represent the time-matched treatment and control profiles consumed by GanCtrl for treatment→control translation, and they are formatted to support reproducibility of downstream analyses (e.g., cosine similarity, RMSE, and related agreement metrics) and exploration of alternative modeling strategies.

Files:



control_test_input: Real control input profiles for the held-out test split (with metadata + molecular descriptors).

treatment_test_input: Real treatment input profiles for the held-out test split (with metadata + molecular descriptors).

control_train_input: Real control input profiles for the training split (with metadata + molecular descriptors).

treatment_train_input: Real treatment input profiles for the training split (with metadata + molecular descriptors).


Note: This repository provides input files only; synthetic predictions and/or model checkpoints are distributed separately (see the GitHub link: CHANDMX20/GanCtrl.
DOI: 10.15468/dl.ypaezx
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodostemonodaphne longiflora"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017411-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwg9tt
title: Occurrence Download

description: A dataset containing 93337 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Antioquia)",
 "GadmGid is one of (COL)",
 "Geometry POLYGON((-75.30806 6.71838,-75.31042 6.35723,-74.86603 6.35567,-74.86917 6.71994,-75.30806 6.71838))"
 ]
 }
 ]
}

 The dataset includes 93337 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017383-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17883691
title: GanCtrl: Synthetic Control Predictions for Liver and Kidney Clinical-Pathology Profiles (Open TG-GATEs)

description: This dataset contains real Open TG-GATEs–derived input files used to develop, train, and evaluate GanCtrl, a generative AI model that infers synthetic control profiles from time-matched treatment clinical-pathology data in repeated-dose rat studies from the Open TG-GATEs database. GanCtrl is trained to reconstruct the distribution of control responses conditional on treatment measurements, enabling reduction of real control animals in downstream analyses.

The provided CSVs are real, preprocessed inputs derived from Open TG-GATEs studies and include: (1) clinical-pathology measurements, (2) study/sample metadata required for grouping and evaluation, and (3) molecular descriptor features used by GanCtrl. These files represent the time-matched treatment and control profiles consumed by GanCtrl for treatment→control translation, and they are formatted to support reproducibility of downstream analyses (e.g., cosine similarity, RMSE, and related agreement metrics) and exploration of alternative modeling strategies.

Files:



control_test_input: Real control input profiles for the held-out test split (with metadata + molecular descriptors).

treatment_test_input: Real treatment input profiles for the held-out test split (with metadata + molecular descriptors).

control_train_input: Real control input profiles for the training split (with metadata + molecular descriptors).

treatment_train_input: Real treatment input profiles for the training split (with metadata + molecular descriptors).


Note: This repository provides input files only; synthetic predictions and/or model checkpoints are distributed separately (see the GitHub link: CHANDMX20/GanCtrl.
DOI: 10.15468/dl.fxxfpw
title: Occurrence Download

description: A dataset containing 4493230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Observation.org, Nature data from around the World)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2025-2026"
 ]
}

 The dataset includes 4493230 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017408-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yckwph
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Austin Peay State University Amphibian and Reptile Specimens (Arctos), NMNH Extant Specimen Records (USNM, US), NCSM Herpetology Collection, MSB Amphibian and Reptile Collection (Arctos), Ohio State University Tetrapod Division - Amphibian Collection (OSUM), SDNHM Herpetology Collection, FHSM Herps Collection, Vertebrate Zoology Division - Herpetology, Yale Peabody Museum, CUMV Amphibian and Reptile Collection)",
 "GadmGid is USA.43_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Anaxyrus fowleri"
 ]
}

 The dataset includes 542 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017412-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18510983
title: COMPARATIVE STUDY OF DOCUMENT TEXTS IN UZBEKISTAN AND TURKISH LANGUAGES

description: The article provides a comparative analysis of the linguistic features of official document texts in the Uzbek and Turkish languages. The study studies the lexical, grammatical, syntactic and stylistic aspects of document texts, their normativeness and communicative function. The similarities and differences between Uzbek and Turkish document texts are identified, and their historical and linguistic reasons are revealed.
DOI: 10.5281/zenodo.18510984
title: COMPARATIVE STUDY OF DOCUMENT TEXTS IN UZBEKISTAN AND TURKISH LANGUAGES

description: The article provides a comparative analysis of the linguistic features of official document texts in the Uzbek and Turkish languages. The study studies the lexical, grammatical, syntactic and stylistic aspects of document texts, their normativeness and communicative function. The similarities and differences between Uzbek and Turkish document texts are identified, and their historical and linguistic reasons are revealed.