cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rzbrpj
title: Occurrence Download

description: A dataset containing 1434 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-68.37095 9.86779,-68.16926 9.86779,-68.16926 10.00799,-68.37095 10.00799,-68.37095 9.86779))"
 ]
}

 The dataset includes 1434 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038517-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfz4xt
title: Occurrence Download

description: A dataset containing 19433 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ludwigia grandiflora (Michx.) Greuter & Burdet"
 ]
}

 The dataset includes 19433 records from 384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064642-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpcpcr
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum rhopalophorum Schltr."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072071-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wghkwn
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anchoa hepsetus (Linnaeus, 1758)",
 "Country is Colombia"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024917-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qa5v9
title: Occurrence Download

description: A dataset containing 1787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plethodon hoffmani Highton, 1972",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1787 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015320-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tv4ez4
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum biflorum Teijsm. & Binn."
 ]
}

 The dataset includes 65 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072060-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjdpte
title: Occurrence Download

description: A dataset containing 557658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Iris pseudacorus L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 557658 records from 2291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038503-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.119844
title: NÉCROPOLE THÉBAINE_nu_2005_02592

description: Référence : nu_2005_02592<br />Site : Cheikh Abd el-Gourna<br />Secteur : Chapelle (TT_56 (Ouserhat)); TT_56 (Ouserhat)<br />Type : photographie<br />
DOI: 10.15468/dl.4qmssr
title: Occurrence Download

description: A dataset containing 4502 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops asper (Garman, 1883)"
 ]
}

 The dataset includes 4502 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292474-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.119845
title: NÉCROPOLE THÉBAINE_nu_2005_02583

description: Référence : nu_2005_02583<br />Site : Cheikh Abd el-Gourna<br />Secteur : Chapelle (TT_56 (Ouserhat)); TT_56 (Ouserhat)<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.119846
title: NÉCROPOLE THÉBAINE_nu_2005_02570

description: Référence : nu_2005_02570<br />Site : Cheikh Abd el-Gourna<br />Secteur : Chapelle (TT_56 (Ouserhat)); TT_56 (Ouserhat)<br />Type : photographie<br />
DOI: 10.15468/dl.fakvgs
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echis leucogaster Roman, 1972"
 ]
}

 The dataset includes 494 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303939-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtrzav
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus brandegeei Goldman"
 ]
}

 The dataset includes 203 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011306-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26bxsp
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sundasciurus mindanensis (Steere, 1890)"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0350155-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw782m
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Imosca coreana",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210600-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhbux4
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thladiantha pustulata (H.Lév.) C.Jeffrey ex A.M.Lu & Zhi Y.Zhang"
 ]
}

 The dataset includes 76 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013388-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.119847
title: NÉCROPOLE THÉBAINE_nu_2005_02561

description: Référence : nu_2005_02561<br />Site : Cheikh Abd el-Gourna<br />Secteur : Chapelle (TT_51 (Ouserhat)); TT_51 (Ouserhat)<br />Type : photographie<br />
DOI: 10.15468/dl.4v453h
title: Occurrence Download

description: A dataset containing 7642228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador"
 ]
}

 The dataset includes 7642228 records from 1860 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276821-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45nsue
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.9_1",
 "TaxonKey is Heracleum mantegazzianum Sommier & Levier",
 "Year 2018-2024"
 ]
}

 The dataset includes 294 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020473-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vdr56
title: Occurrence Download

description: A dataset containing 195555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Netherlands",
 "GbifRegion is Europe and Central Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capreolus capreolus (Linnaeus, 1758)",
 "Year 2017-2024"
 ]
}

 The dataset includes 195555 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020357-241007104925546/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.27249225
title: <b>Global patterns and drivers of leaf complexity in woody plants</b>

description: We assembled information on leaf complexity for global woody species and millions of their georeferenced data points to generate the first worldwide prevalence map of compound leaves.
DOI: 10.6084/m9.figshare.27249225.v1
title: <b>Global patterns and drivers of leaf complexity in woody plants</b>

description: We assembled information on leaf complexity for global woody species and millions of their georeferenced data points to generate the first worldwide prevalence map of compound leaves.
DOI: 10.5281/zenodo.7871167
title: The Catalogue of Endangered Languages as CLDF dataset

description: Cite the source of the dataset as: Catalogue of Endangered Languages. 2023. University of Hawaii at Manoa. http://www.endangeredlanguages.com
DOI: 10.5281/zenodo.10794044
title: The Catalogue of Endangered Languages as CLDF dataset

description: Cite the source of the dataset as:




Catalogue of Endangered Languages. 2023. University of Hawaii at Manoa. http://www.endangeredlanguages.com
DOI: 10.5281/zenodo.13946786
title: The Catalogue of Endangered Languages as CLDF dataset

description: Cite the source of the dataset as:




Catalogue of Endangered Languages. 2023. University of Hawaii at Manoa. http://www.endangeredlanguages.com
DOI: 10.5281/zenodo.7915644
title: The Catalogue of Endangered Languages as CLDF dataset

description: Cite the source of the dataset as: Catalogue of Endangered Languages. 2023. University of Hawaii at Manoa. http://www.endangeredlanguages.com
DOI: 10.5281/zenodo.8098797
title: The Catalogue of Endangered Languages as CLDF dataset

description: Cite the source of the dataset as: Catalogue of Endangered Languages. 2023. University of Hawaii at Manoa. http://www.endangeredlanguages.com
DOI: 10.5281/zenodo.8112337
title: The Catalogue of Endangered Languages as CLDF dataset

description: Cite the source of the dataset as: Catalogue of Endangered Languages. 2023. University of Hawaii at Manoa. http://www.endangeredlanguages.com
DOI: 10.5281/zenodo.7871166
title: The Catalogue of Endangered Languages as CLDF dataset

description: Cite the source of the dataset as:




Catalogue of Endangered Languages. 2023. University of Hawaii at Manoa. http://www.endangeredlanguages.com
DOI: 10.5281/zenodo.13946713
title: sphaerodactylus_glaucus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13946714
title: sphaerodactylus_glaucus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13941107
title: CLIP Features and Selected Relevance Judgments Subset for TRECVID Ad-hoc Search (2019-2023)

description:  

















This repository contains CLIP features and annotations for a subset of V3C images, based on their relevance to selected queries from the TREC Video Retrieval Evaluation (TRECVID) Ad-hoc Video Search (AVS) task. The data includes annotations for AVS queries and judgments conducted in TRECVID from 2019 to 2023 [1], using the V3C1 and V3C2 collections [2]. Specifically, the TRECVID-AVS collection covers 89 queries,  with video shots manually labeled as relevant (1), non-relevant (0), or not annotated (-1).

We used approximately 2.6 million keyframes extracted from these video shots, mapping the annotations to the corresponding keyframes (note that there may not be a one-to-one correspondence between TRECVID shotID since multiple frames might be extracted from a single shot). Image representations are based on CLIP ViT-H/14 - LAION-2B features [3]. The timestamps of the keyframes and their CLIP features are sourced from the VISIONE repository [4].

Given the incomplete nature of the TRECVID ground truth (where only a subset of video segments were judged per query), we focused on queries with at least 200 positive and 1400 negative annotations. This resulted in 80 datasets, each containing 1500 images—10% labeled as relevant and 90% as non-relevant.

Contents of the Repository:





Query-specific CSV Files: For each of the 80 selected AVS query (e.g., 1591), the corresponding CSV file (e.g., 1591.csv) contains a column for each image, where:



VISIONE image ID is in the first row.

CLIP features are in the subsequent rows.

Relevance annotations are in the last row: 1 for relevant, 0 for non-relevant.





Post-processed Datasets:



dataset_normalized.zip: L2-normalized CLIP features.

dataset_softmax.zip: CLIP features converted into probabilities using a softmax function.

dataset_logistic.zip: CLIP features converted into probabilities using a logistic function followed by L1 normalization.





Text Feature Data: clip_laion_text_features.csv contains additional details for each query, including the query ID, query text, and L2 normalized CLIP features extracted from the query text.



Citation and Usage:

This data was used in the experiments described in:

Lucia Vadicamo, Francesca Scotti, Alan Dearle, Richard Connor, Comparative Analysis of Relevance Feedback Techniques for Image Retrieval, in Proceedings of the 31st International Conference on Multimedia Modeling (MMM 2025).

The data is released under a Creative Commons Attribution license. If you use it in your research, please cite the above work. 

References:

[1]TRECVID Data:   https://www-nlpir.nist.gov/projects/trecvid/trecvid.data.html[2] Rossetto, L., Schuldt, H., Awad, G., Butt, A.A.: V3C - A research video collection. In: International Conference on Multimedia Modeling, pp. 349–360. Springer (2019).[3] https://huggingface.co/laion/CLIP-ViT-H-14-laion2B-s32B-b79K[4] VISIONE Repository:   https://zenodo.org/records/8188570
DOI: 10.5281/zenodo.13941108
title: CLIP Features and Selected Relevance Judgments Subset for TRECVID Ad-hoc Search (2019-2023)

description:  

















This repository contains CLIP features and annotations for a subset of V3C images, based on their relevance to selected queries from the TREC Video Retrieval Evaluation (TRECVID) Ad-hoc Video Search (AVS) task. The data includes annotations for AVS queries and judgments conducted in TRECVID from 2019 to 2023 [1], using the V3C1 and V3C2 collections [2]. Specifically, the TRECVID-AVS collection covers 89 queries,  with video shots manually labeled as relevant (1), non-relevant (0), or not annotated (-1).

We used approximately 2.6 million keyframes extracted from these video shots, mapping the annotations to the corresponding keyframes (note that there may not be a one-to-one correspondence between TRECVID shotID since multiple frames might be extracted from a single shot). Image representations are based on CLIP ViT-H/14 - LAION-2B features [3]. The timestamps of the keyframes and their CLIP features are sourced from the VISIONE repository [4].

Given the incomplete nature of the TRECVID ground truth (where only a subset of video segments were judged per query), we focused on queries with at least 200 positive and 1400 negative annotations. This resulted in 80 datasets, each containing 1500 images—10% labeled as relevant and 90% as non-relevant.

Contents of the Repository:





Query-specific CSV Files: For each of the 80 selected AVS query (e.g., 1591), the corresponding CSV file (e.g., 1591.csv) contains a column for each image, where:



VISIONE image ID is in the first row.

CLIP features are in the subsequent rows.

Relevance annotations are in the last row: 1 for relevant, 0 for non-relevant.





Post-processed Datasets:



dataset_normalized.zip: L2-normalized CLIP features.

dataset_softmax.zip: CLIP features converted into probabilities using a softmax function.

dataset_logistic.zip: CLIP features converted into probabilities using a logistic function followed by L1 normalization.





Text Feature Data: clip_laion_text_features.csv contains additional details for each query, including the query ID, query text, and L2 normalized CLIP features extracted from the query text.



Citation and Usage:

This data was used in the experiments described in:

Lucia Vadicamo, Francesca Scotti, Alan Dearle, Richard Connor, Comparative Analysis of Relevance Feedback Techniques for Image Retrieval, in Proceedings of the 31st International Conference on Multimedia Modeling (MMM 2025).

The data is released under a Creative Commons Attribution license. If you use it in your research, please cite the above work. 

References:

[1]TRECVID Data:   https://www-nlpir.nist.gov/projects/trecvid/trecvid.data.html[2] Rossetto, L., Schuldt, H., Awad, G., Butt, A.A.: V3C - A research video collection. In: International Conference on Multimedia Modeling, pp. 349–360. Springer (2019).[3] https://huggingface.co/laion/CLIP-ViT-H-14-laion2B-s32B-b79K[4] VISIONE Repository:   https://zenodo.org/records/8188570
DOI: 10.18430/m39du8
title: X-ray diffraction data for the crystal structure of ADP-ribose diphosphatase from Klebsiella pneumoniae (ADP/Mg bound) (9DU8)
DOI: 10.6084/m9.figshare.26026720
title: Dataset for: An Areal Approach to Spatial Accessibility Analysis

description: Place-based spatial accessibility quantifies the distribution of access to goods and services across space. The Two-Step Floating Catchment Area (2SFCA) family of methods have become a default tool for spatial accessibility analysis in part due to the intuitive approach and interpretability. This family of methods relies on calculating catchment areas around supply locations to estimate the area and population that may utilize them. However, these `catchment areas' are generally defined by origin-destination matrices of travel-time, giving us point-to-point distances and not polygons with actual area. This means that population geographies (census tracts, blocks, etc.) are binarily included or excluded, with no room for partial inclusion.When using non-granular data, which is often the case due to data privacy restrictions, this has the potential to cause significant errors in accessibility measurements. In this paper, we propose Areal 2SFCA: a new approach that considers the area of overlap between travel-time polygons and population geographies. We apply the Areal 2SFCA method using a case study that compares the Enhanced Two-Step Floating Catchment Area (E2SFCA) and an Areal E2SFCA for the state of Illinois using multiple population granularities.
DOI: 10.6084/m9.figshare.26026720.v1
title: Dataset for: An Areal Approach to Spatial Accessibility Analysis

description: Place-based spatial accessibility quantifies the distribution of access to goods and services across space. The Two-Step Floating Catchment Area (2SFCA) family of methods have become a default tool for spatial accessibility analysis in part due to the intuitive approach and interpretability. This family of methods relies on calculating catchment areas around supply locations to estimate the area and population that may utilize them. However, these `catchment areas' are generally defined by origin-destination matrices of travel-time, giving us point-to-point distances and not polygons with actual area. This means that population geographies (census tracts, blocks, etc.) are binarily included or excluded, with no room for partial inclusion.When using non-granular data, which is often the case due to data privacy restrictions, this has the potential to cause significant errors in accessibility measurements. In this paper, we propose Areal 2SFCA: a new approach that considers the area of overlap between travel-time polygons and population geographies. We apply the Areal 2SFCA method using a case study that compares the Enhanced Two-Step Floating Catchment Area (E2SFCA) and an Areal E2SFCA for the state of Illinois using multiple population granularities.
DOI: 10.5281/zenodo.11397281
title: NANA

description: NA
DOI: 10.5281/zenodo.11522412
title: Inter-Chemical Correlation results for the study: HHEARx2016-1407 (Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study)

description: Title: Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study Species: Homo sapiens Number of samples: 157 Number of named analytes: 28 Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=2
DOI: 10.5281/zenodo.11554249
title: Inter-Chemical Correlation results for the study: HHEARx2016-1407 (Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study)

description: Title: Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study Species: Homo sapiens Number of samples: 157 Number of named analytes: 28 Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=2
DOI: 10.5281/zenodo.11592519
title: Inter-Chemical Correlation results for the study: HHEARx2016-1407 (Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study)

description: Title: Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study Species: Homo sapiens Number of samples: 157 Number of named analytes: 28 Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=2
DOI: 10.5281/zenodo.11309845
title: Inter-Chemical Correlation results for the study: HHEARx2016-1407 (Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study)

description: Title: Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study Species: Homo sapiens Number of samples: 157 Number of named analytes: 28 Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=2
DOI: 10.5281/zenodo.11309846
title: NANA

description: NA
DOI: 10.5281/zenodo.11397267
title: NANA

description: NA
DOI: 10.5281/zenodo.13946577
title: Inter-Chemical Correlation results for the study: HHEARx2016-1407 (Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study)

description: Title: Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study Species: Homo sapiens Number of samples: 157 Number of named analytes: 28 Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=2
DOI: 10.5281/zenodo.13946813
title: Inter-Chemical Correlation results for the study: HHEARx2016-1407 (Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study)

description: Title: Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study Species: Homo sapiens Number of samples: 157 Number of named analytes: 28 Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=2
DOI: 10.5281/zenodo.13946177
title: Meesho Visual Taxonomy
DOI: 10.5281/zenodo.13946178
title: Meesho Visual Taxonomy