cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18368863
title: SuperDARN data in netCDF format (2005-Apr)

description: 2005-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6633823
title: SuperDARN data in netCDF format (2005-Apr)

description: 2005-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.3886/e244622
title: A Diachronic Corpus of Liǎnhóng in Chinese

description: This study conducts
a case study of liǎnhóng to examine how inference drives semantic change through the diachronic change
of conversational implicature. It focuses on three types of inference: ad-hoc
inference, entrenched inference, and conventionalized inference, each contributing
distinctively to semantic change. The findings reveal that inference is not
invariably principle-governed but can be triggered by cognitive processes; conventions and context play distinct roles at different inferential stages;
and three types of inference derive different types of meanings within the
inferential process, with ad-hoc inference generating PCIs, entrenched
inference converting PCIs into GCIs, and conventionalized inference ultimately
developing GCIs into new coded meanings. This study contributes to diachronic
cognitive pragmatics by providing empirical evidence for the inferential
process of semantic change, while offering insights into the diachronic change
of conversational implicature.
DOI: 10.3886/e244622v1
title: A Diachronic Corpus of Liǎnhóng in Chinese

description: This study conducts
a case study of liǎnhóng to examine how inference drives semantic change through the diachronic change
of conversational implicature. It focuses on three types of inference: ad-hoc
inference, entrenched inference, and conventionalized inference, each contributing
distinctively to semantic change. The findings reveal that inference is not
invariably principle-governed but can be triggered by cognitive processes; conventions and context play distinct roles at different inferential stages;
and three types of inference derive different types of meanings within the
inferential process, with ad-hoc inference generating PCIs, entrenched
inference converting PCIs into GCIs, and conventionalized inference ultimately
developing GCIs into new coded meanings. This study contributes to diachronic
cognitive pragmatics by providing empirical evidence for the inferential
process of semantic change, while offering insights into the diachronic change
of conversational implicature.
DOI: 10.15468/dl.t9fj53
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Donatia fascicularis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 51 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011081-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtfr6x
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cephalorhynchus commersonii",
 "Year 2000-2026"
 ]
}

 The dataset includes 437 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011084-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sewf3e
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Donatia novae-zelandiae",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 216 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011083-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxrcyp
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Forstera bellidifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 77 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011085-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18369053
title: Mesh data for CaseStudeis HLGB and FluxGB in PHIMATS
DOI: 10.5281/zenodo.18369054
title: Mesh data for CaseStudeis HLGB and FluxGB in PHIMATS
DOI: 10.13140/rg.2.2.16128.29449
title: Manning open channel calculator: Interactive app for rectangular and trapezoidal cross-sections. ModelBridge Labs
DOI: 10.5281/zenodo.18368948
title: Longitudinal Wearable Physiological Dataset of Elderly Individuals
DOI: 10.15468/dl.63gxyn
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Levenhookia pauciflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 82 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011087-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10397742
title: CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs

description: With the advancements in instrumentation, image processing algorithms, and computational capabilities, single-particle cryo-electron microscopy (cryo-EM) has achieved atomic resolution in determining the 3D structures of viruses. The virus structures play a crucial role in studying their biological function and advancing the development of antiviral vaccines and treatments. Despite the effectiveness of artificial intelligence (AI) in general image processing, its development for identifying and extracting virus particles from cryo-EM micrographs has been hindered by the lack of manually labeled high-quality datasets. To fill the gap, we introduce CryoVirusDB, a labeled dataset containing the coordinates of expert-picked virus particles in cryo-EM micrographs. CryoVirusDB comprises 9,941 micrographs of 9 different viruses along with the coordinates of 339,398 labeled virus particles. CryoVirusDB comprises 9,941 micrographs from 9 datasets representing 7 distinct nonenveloped viruses exhibiting icosahedral or pseudoicosahedral symmetry, along with coordinates of 339,398 labeled virus particles. It can be used to train and test AI and machine learning (e.g., deep learning) methods to accurately identify virus particles in cryo-EM micrographs for building atomic 3D structural models for viruses.

Instructions to download and use the dataset are openly available at: https://github.com/BioinfoMachineLearning/CryoVirusDB
DOI: 10.5281/zenodo.10397741
title: CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs

description: With the advancements in instrumentation, image processing algorithms, and computational capabilities, single-particle cryo-electron microscopy (cryo-EM) has achieved atomic resolution in determining the 3D structures of viruses. The virus structures play a crucial role in studying their biological function and advancing the development of antiviral vaccines and treatments. Despite the effectiveness of artificial intelligence (AI) in general image processing, its development for identifying and extracting virus particles from cryo-EM micrographs has been hindered by the lack of manually labeled high-quality datasets. To fill the gap, we introduce CryoVirusDB, a labeled dataset containing the coordinates of expert-picked virus particles in cryo-EM micrographs. CryoVirusDB comprises 9,941 micrographs of 9 different viruses along with the coordinates of 339,398 labeled virus particles. CryoVirusDB comprises 9,941 micrographs from 9 datasets representing 7 distinct nonenveloped viruses exhibiting icosahedral or pseudoicosahedral symmetry, along with coordinates of 339,398 labeled virus particles. It can be used to train and test AI and machine learning (e.g., deep learning) methods to accurately identify virus particles in cryo-EM micrographs for building atomic 3D structural models for viruses.

Instructions to download and use the dataset are openly available at: https://github.com/BioinfoMachineLearning/CryoVirusDB
DOI: 10.5281/zenodo.18368999
title: Sense-Dx Survey Dataset on Organizational Change

description: This dataset contains anonymized responses (N = 111) from a cross-sectional survey to study organizational change.

The survey was distributed via LinkedIn and completed voluntarily. All direct identifiers have been removed; variables include Likert-scale items, demographic categories (e.g., role, industry, organization size), and characteristics of the focal change initiative.

Access Conditions: 

Access to the dataset is restricted due to the sensitivity of organizational information. The anonymized data are available from the corresponding author upon reasonable request.
DOI: 10.5281/zenodo.18368998
title: Sense-Dx Survey Dataset on Organizational Change

description: This dataset contains anonymized responses (N = 111) from a cross-sectional survey to study organizational change.

The survey was distributed via LinkedIn and completed voluntarily. All direct identifiers have been removed; variables include Likert-scale items, demographic categories (e.g., role, industry, organization size), and characteristics of the focal change initiative.

Access Conditions: 

Access to the dataset is restricted due to the sensitivity of organizational information. The anonymized data are available from the corresponding author upon reasonable request.
DOI: 10.15468/dl.nc3y43
title: Occurrence Download

description: A dataset containing 24034 records in GBIF matching the query:
SELECT
 '408' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey 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 decimalLatitude &gt;= 37.42857426825602
 AND decimalLatitude &lt;= 41.89415215079384
 AND decimalLongitude &gt;= 28.782060897027332
 AND decimalLongitude &lt;= 35.96444851417518
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 24034 records were derived from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011082-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244602v1
title: School Of Nursing (S.O.N.), General Hospital, Ikot-Ekpene 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: School Of Nursing (S.O.N.), General Hospital, Ikot-Ekpene 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online
DOI: 10.15468/dl.3adz2w
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Levenhookia pusilla",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 451 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011088-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244603v1
title: College of Nursing Sciences, Amachara 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: College of Nursing Sciences, Amachara 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online
DOI: 10.3886/e244604v1
title: College of Nursing Sciences, Umuahia 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: College of Nursing Sciences, Umuahia 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online<br>
DOI: 10.3886/e244607v1
title: College of Nursing Sciences, Ihiala 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: College of Nursing Sciences, Ihiala 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online
DOI: 10.5281/zenodo.18369062
title: A Multilingual Dataset of Student Answers, Human Grading, and Multi-LLM Evaluations for Automated Assessment Research using JorGPT

description: This is a multilingual dataset of open-ended student answers collected from authentic university-level assessments. The dataset comprises 3041 student re-sponses to 50 distinct open-ended questions, authored by 79 anonymized students from a single institution across one semester of the academic course 2025-26. It integrates real student answers, instructor-defined ideal solutions, numerical grades and qualitative feedback provided by human teachers, and structured evaluations generated by multi-ple state-of-the-art LLMs following a unified grading schema.

All pedagogical content is available in both Spanish, the original language of instruction, and English, enabling multilingual and cross-lingual research. The dataset supports benchmarking of automated grading systems, analysis of alignment between human and LLM-based assessment, training of judge or meta-evaluation models, and studies on automated feedback generation. By releasing this dataset under an open license, we aim to facilitate transparent, reproducible, and realistic research in educational artificial intelligence and automated assessment.
DOI: 10.3886/e244608v1
title: College of Nursing Sciences, COOUTH, Nkpor 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: College of Nursing Sciences, COOUTH, Nkpor 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online<br>
DOI: 10.3886/e244609v1
title: College of Nursing Sciences, Alor 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: College of Nursing Sciences, Alor 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online<br>
DOI: 10.3886/e244610v1
title: Aliko Dangote College of Nursing Sciences, Bauchi 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622

description: Aliko Dangote College of Nursing Sciences, Bauchi 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online
DOI: 10.5281/zenodo.18369141
title: Fasting and Postprandial Serum 26RFa (QRFP) Levels in Women with Polycystic Ovary Syndrome: Evidence of Attenuated Postprandial Response
DOI: 10.5281/zenodo.18369140
title: Fasting and Postprandial Serum 26RFa (QRFP) Levels in Women with Polycystic Ovary Syndrome: Evidence of Attenuated Postprandial Response
DOI: 10.15468/dl.287dc8
title: Occurrence Download

description: A dataset containing 1431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "GadmGid is BRA.6.105_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1431 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011089-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4a872
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllachne colensoi",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 175 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011091-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18368935
title: phoenix_dactylifera_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.18368936
title: phoenix_dactylifera_zanfona_1.fasta.gz
DOI: 10.34740/kaggle/dsv/14615882
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.4fdzjb
title: Occurrence Download

description: A dataset listing the 680 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is BMU",
 "TaxonKey is Gastropoda"
 ]
}

 The dataset's 680 records were derived from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011086-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fb79rt
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stylidium adnatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 212 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011093-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utwcfb
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Genética de la Conservación del Oso Andino en Los PNN del Subsistema de Áreas Protegidas Andes Occidentales de Colombia"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011094-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244617v1
title: College of Nursing Sciences, Eku 2026/2027 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: College of Nursing Sciences, Eku 2026/2027 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online