cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/afrva-4jh12
title: U2OS-Tubulin Tracker Green

description: U2OS cells stained with tubulin tracker to locate midbodies. Cryo-FIB milling is used to make the sample thinner.
description: <strong>Tilt Series Date:</strong> 2017-05-18</p>
<strong>Data Taken By:</strong> Wei Zhao</p>
<strong>Species / Specimen:</strong> U2OS</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-65.0°, 65.0°), step: 2°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD-patch tracking</p>
<strong>Purification / Growth Conditions / Treatment:</strong> U2OS cells grown on Au finder grids for 28-48 hours.Grids coated with PL.</p>
<strong>Sample Preparation:</strong> Cells were stained with tubulin tracker and Hoechst before freezing. Plunge frozen using the vitrobot III blotted manually from back(drain time 1s).</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-4/rawdata/</p>TS5.mrc,  Tilt Series (Pixel Size 0.371 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-4/rawdata/TS5.mrc"
        > <i class="download icon"></i> Download </a></p>

        TS5_bin2_full.rec,  Reconstruction (Pixel Size 0.0 nm), 184.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-4/3dimage_85642/TS5_bin2_full.rec"
        > <i class="download icon"></i> Download </a></p>

        TS5_bin4_sirt6_flipint.rec,  Reconstruction (Pixel Size 0.0 nm), 356.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-4/3dimage_85643/TS5_bin4_sirt6_flipint.rec"
        > <i class="download icon"></i> Download </a></p>

        TS5_bin4_sirt6_flipint.rec,  Reconstruction (Pixel Size 0.0 nm), 356.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-4/3dimage_86809/TS5_bin4_sirt6_flipint.rec"
        > <i class="download icon"></i> Download </a></p>

        zap000.png,  853.8 kB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-4/file_18150/zap000.png"
        > <i class="download icon"></i> Download </a></p>

        wza2017-05-18-4_zap18440.png,  Periphery region of U2OS, 850.2 kB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/Caps/wza2017-05-18-4_zap18440.png"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.ftk2bc
title: Occurrence Download

description: A dataset containing 5441882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 5441882 records from 1495 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032626-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nw324
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is one of (September, October, November, August)",
 "OccurrenceStatus is Present",
 "StateProvince is Florida",
 "TaxonKey is Setophaga caerulescens (J.F.Gmelin, 1789)",
 "Year 2006-2006"
 ]
}

 The dataset includes 255 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006141-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.25476
title: InSAR Coherence data for Greater Cairo
title: InSAR Coherence data for Greater Cairo

description: Software used: SARProZProcess Steps:co-registration,We calculated the coherence using a 5*5 window size on a small temporal baseline, taking into account a 12-day acquisition difference.The earlier image serves as the primary image, while the later image serves as the secondary image.The result is a generation of 85 coherence maps for the study period.Results are in GeoTiff32 format.We adjusted the coherence images to correct the geometric distortions of side-looking SAR and to precisely position the output pixels on Earth.The orthorectify sampling option is 1x1 downsampling.The exported pixel dimensions were roughly 8 by 8 square meters. 
description: Software used: SARProZProcess Steps:co-registration,We calculated the coherence using a 5*5 window size on a small temporal baseline, taking into account a 12-day acquisition difference.The earlier image serves as the primary image, while the later image serves as the secondary image.The result is a generation of 85 coherence maps for the study period.Results are in GeoTiff32 format.We adjusted the coherence images to correct the geometric distortions of side-looking SAR and to precisely position the output pixels on Earth.The orthorectify sampling option is 1x1 downsampling.The exported pixel dimensions were roughly 8 by 8 square meters.
DOI: 10.15468/dl.zs9q6k
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclopeltis crenata (Fée) C.Chr."
 ]
}

 The dataset includes 365 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010956-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjcdyc
title: Occurrence Download

description: A dataset containing 16429 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbidium Sw."
 ]
}

 The dataset includes 16429 records from 267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010957-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15450166
title: The Impact of Metacognitive strategy use on Sight Translation in Chinese-Japanese Unbalanced Bilinguals: Evidence from Eye-Tracking Research
DOI: 10.5281/zenodo.15450155
title: The Influence of AI-Based Learning on the Effectiveness of Student Learning in Higher Education
DOI: 10.5281/zenodo.15450156
title: The Influence of AI-Based Learning on the Effectiveness of Student Learning in Higher Education
DOI: 10.15468/dl.wxjqut
title: Occurrence Download

description: A dataset containing 34956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus alba L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34956 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003216-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17617/3.fsbr5v
title: EgoWholeBodyTestDataset

description: Test dataset for EgoWholeBody paper
DOI: 10.15468/dl.5jmbu4
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astragalus ernestii H.F.Comber",
 "Year 1970-2025"
 ]
}

 The dataset includes 95 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003217-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbsjnk
title: Occurrence Download

description: A dataset containing 455 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vernonia anthelmintica (L.) Willd."
 ]
}

 The dataset includes 455 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003219-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11848661
title: Mango Fruit Early Diseases Detection
DOI: 10.15468/dl.p49apx
title: Occurrence Download

description: A dataset containing 6541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vernonia cinerea (L.) Less."
 ]
}

 The dataset includes 6541 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003220-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9d7xb
title: Occurrence Download

description: A dataset containing 5710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus aliena Blume)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5710 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003221-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcq3hp
title: Occurrence Download

description: A dataset containing 862088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthus pratensis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 862088 records from 541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003215-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15450192
title: THE ROLE OF ARTISTIC LITERATURE IN SHAPING THE WORLDVIEW OF CONTEMPORARY YOUTH

description: This research paper explores the pivotal function of artistic literature in the formation of the worldview among contemporary youth. It analyzes theoretical frameworks rooted in literary theory, psychology, and cultural studies, emphasizing how literature fosters moral, aesthetic, and cognitive development in young individuals within modern sociocultural contexts. The study discusses the influence of digitalization on literary engagement, the role of literature in promoting social awareness, and pedagogical strategies that enhance its impact. The findings highlight the enduring significance of literary arts as tools for nurturing critical thinking, empathy, and cultural understanding in the digital age.
DOI: 10.5281/zenodo.15450193
title: THE ROLE OF ARTISTIC LITERATURE IN SHAPING THE WORLDVIEW OF CONTEMPORARY YOUTH

description: This research paper explores the pivotal function of artistic literature in the formation of the worldview among contemporary youth. It analyzes theoretical frameworks rooted in literary theory, psychology, and cultural studies, emphasizing how literature fosters moral, aesthetic, and cognitive development in young individuals within modern sociocultural contexts. The study discusses the influence of digitalization on literary engagement, the role of literature in promoting social awareness, and pedagogical strategies that enhance its impact. The findings highlight the enduring significance of literary arts as tools for nurturing critical thinking, empathy, and cultural understanding in the digital age.
DOI: 10.15468/dl.d5mdr4
title: Occurrence Download

description: A dataset containing 8114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus mongolica Fisch. ex Ledeb.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8114 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003223-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11848772
title: Chili Plant Disease Detection
DOI: 10.15468/dl.wqcqvx
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Espadarana audax (Lynch & Duellman, 1973)"
 ]
}

 The dataset includes 93 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003225-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dg8pmg
title: Occurrence Download

description: A dataset containing 64197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthus spinoletta (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 64197 records from 295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003222-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62gy67
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"8504955","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"within","geometry":"POLYGON((-6.000000 30.000000, -6.000000 47.000000, 42.000000 47.000000, 42.000000 30.000000, -6.000000 30.000000))"},{"type":"in","key":"BASIS_OF_RECORD","values":["HumanObservation","MachineObservation"],"matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2010","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002492-250426092105405/datasets/export for details.
DOI: 10.25574/29105
title: Chandra X-ray Observatory ObsId 29105

description: Optically bright, highly radio-variable AGN discovered in VLASS
DOI: 10.17909/5aw1-qg12
title: JWST/MIRI data of SN 2005af

description: F560W, F1000W, F1130, F1280, F1500W, F1800W, F2100W, and F2550W imaging (obtained during the GO 2666 program, PI: O.D. Fox)
DOI: 10.5281/zenodo.15278335
title: KQA-Pro+QA2HALL dataset

description: This dataset is designed for the task of detecting hallucinations in text generated by large language models. It was created using the framework QA2HALL proposed in [1], which generates sentences containing synthetical hallucinations by using questions from a Knowledge Graph Question Answering (KGQA) dataset and incorrect answers generated by LLMs. The KGQA dataset used as the basis is KQA Pro (https://huggingface.co/datasets/drt/kqa_pro).

For more details about the dataset and the framework, please refer to the paper and the framework's GitHub repository.

File lists



kqapro_qa2hall.json



halucination detection dataset which was generated by applying QA2HALL on KQA Pro



kqapro_filterd.json



filterd version of KQA Pro (train and validation sets) for experiments in [1]

We used this filtered version to construct "kqapro_qa2hall.json"



README.md



see this file for the format of the JSON files




 

[1] Nakamura, K., Hasegawa, R., Otomura, K., Ichise, R., Hato, J.: QA2HALL: A Framework for Generating Non-trivial Hallucination Detection Datasets from KGQA Datasets. In: Proceedings of the 30th International Conference on Natural Language & Informations Systems (2025) (In preparation)
DOI: 10.5281/zenodo.15278336
title: KQA-Pro+QA2HALL dataset

description: This dataset is designed for the task of detecting hallucinations in text generated by large language models. It was created using the framework QA2HALL proposed in [1], which generates sentences containing synthetical hallucinations by using questions from a Knowledge Graph Question Answering (KGQA) dataset and incorrect answers generated by LLMs. The KGQA dataset used as the basis is KQA Pro (https://huggingface.co/datasets/drt/kqa_pro).

For more details about the dataset and the framework, please refer to the paper and the framework's GitHub repository.

File lists



kqapro_qa2hall.json



halucination detection dataset which was generated by applying QA2HALL on KQA Pro



kqapro_filterd.json



filterd version of KQA Pro (train and validation sets) for experiments in [1]

We used this filtered version to construct "kqapro_qa2hall.json"



README.md



see this file for the format of the JSON files




 

[1] Nakamura, K., Hasegawa, R., Otomura, K., Ichise, R., Hato, J.: QA2HALL: A Framework for Generating Non-trivial Hallucination Detection Datasets from KGQA Datasets. In: Proceedings of the 30th International Conference on Natural Language & Informations Systems (2025) (In preparation)
DOI: 10.15468/dl.2qnk5b
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Chaenomeles speciosa (Sweet) Nakai"
 ]
}

 The dataset includes 460 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030721-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11060773
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Belgium

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:  



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Federal Agency for the Safety of the Food Chain, Institute for Agricultural and Fisheries Research

OCC-CHEMMON2021 – Federal Agency for the Safety of the Food Chain, Federal Public Service (FPS) Health, Food Chain Safety and Environment

OCC-CHEMMON2022 – Federal Agency for the Safety of the Food Chain, Federal Public Service (FPS) Health, Food Chain Safety and Environment

OCC-CHEMMON2023 – Federal Agency for the Safety of the Food Chain, Federal Public Service (FPS) Health, Food Chain Safety and Environment
description: BE; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15411696
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Belgium

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:  



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Federal Agency for the Safety of the Food Chain; Institute for Agricultural and Fisheries Research

OCC-CHEMMON2021 – Federal Agency for the Safety of the Food Chain; Federal Public Service (FPS) Health, Food Chain Safety and Environment

OCC-CHEMMON2022 – Federal Agency for the Safety of the Food Chain; Federal Public Service (FPS) Health, Food Chain Safety and Environment

OCC-CHEMMON2023 – Federal Agency for the Safety of the Food Chain; Federal Public Service (FPS) Health, Food Chain Safety and Environment

OCC-CHEMMON2024 – Federal Agency for the Safety of the Food Chain; Federal Public Service (FPS) Health, Food Chain Safety and Environment
description: BE; CSV; data.collection@efsa.europa.eu