cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13730297
title: Oostpoort Dataset for Floating Litter Detection

description: Dataset

This dataset contains the data used for the publication:



Jia, T., de Vries, R., Kapelan, Z., van Emmerik, T. H., & Taormina, R. (2024). Detecting floating litter in freshwater bodies with semi-supervised deep learning. Water Research, 266, 122405. https://doi.org/10.1016/j.watres.2024.122405


The Oostpoort dataset is for detecting floating litter with computer vision. We generated this dataset from experiments conducted during 26 days from February to March 2022, in a canal at Oostpoort, Delft, the Netherlands. We collected data employing action cameras (GoPro MAX 360 and GoCam3) mounted outside the windows of a tower at Oostpoort with a viewing angle of 0 degree. We recorded video sequences with a time-lapse recording (1 image/30 sec) and a FPS (frame per second) of 17.98. We generated the Oostpoort dataset by saving images from these videos. The resolution of images are 3840*2160 and 1920*1440. This dataset consists of 562 RGB images. We manually labeled the litter items in these images with bounding boxes.

The 562 images are stored in the images.zip file, the annotations are stored in the labels_txt.zip file, and the class of the annotation (i.e., litter) is stored in the classes.txt file. The Oostpoort Dataset.xlsx file contains the detailed information of images, including collecting date, collecting time, device, device location (in a bridge), device degree, device height, weather conditions, the number of images, and the number of annotated litter items.

Cite this dataset

If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:



@article{jia2024detecting,
  title={Detecting floating litter in freshwater bodies with semi-supervised deep learning},
  author={Jia, Tianlong and de Vries, Rinze and Kapelan, Zoran and van Emmerik, Tim HM and Taormina, Riccardo},
  journal={Water Research},
  volume={266},
  pages={122405},
  year={2024},
  publisher={Elsevier}
}
DOI: 10.5281/zenodo.13730298
title: Oostpoort Dataset for Floating Litter Detection

description: Dataset

This dataset contains the data used for the publication:



Jia, T., de Vries, R., Kapelan, Z., van Emmerik, T. H., & Taormina, R. (2024). Detecting floating litter in freshwater bodies with semi-supervised deep learning. Water Research, 266, 122405. https://doi.org/10.1016/j.watres.2024.122405


The Oostpoort dataset is for detecting floating litter with computer vision. We generated this dataset from experiments conducted during 26 days from February to March 2022, in a canal at Oostpoort, Delft, the Netherlands. We collected data employing action cameras (GoPro MAX 360 and GoCam3) mounted outside the windows of a tower at Oostpoort with a viewing angle of 0 degree. We recorded video sequences with a time-lapse recording (1 image/30 sec) and a FPS (frame per second) of 17.98. We generated the Oostpoort dataset by saving images from these videos. The resolution of images are 3840*2160 and 1920*1440. This dataset consists of 562 RGB images. We manually labeled the litter items in these images with bounding boxes.

The 562 images are stored in the images.zip file, the annotations are stored in the labels_txt.zip file, and the class of the annotation (i.e., litter) is stored in the classes.txt file. The Oostpoort Dataset.xlsx file contains the detailed information of images, including collecting date, collecting time, device, device location (in a bridge), device degree, device height, weather conditions, the number of images, and the number of annotated litter items.

Cite this dataset

If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:



@article{jia2024detecting,
  title={Detecting floating litter in freshwater bodies with semi-supervised deep learning},
  author={Jia, Tianlong and de Vries, Rinze and Kapelan, Zoran and van Emmerik, Tim HM and Taormina, Riccardo},
  journal={Water Research},
  volume={266},
  pages={122405},
  year={2024},
  publisher={Elsevier}
}
DOI: 10.15468/dl.r9cms9
title: Occurrence Download

description: A dataset containing 48155725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Country is United States of America",
 "StateProvince is one of (Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky)",
 "Year is greater than or equal to 2024",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 48155725 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004623-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13730227
title: TUD-GV Dataset for Floating Litter Detection (object detection task)

description: Dataset

This dataset contains the data used for the publication:



Jia, T., de Vries, R., Kapelan, Z., van Emmerik, T. H., & Taormina, R. (2024). Detecting floating litter in freshwater bodies with semi-supervised deep learning. Water Research, 266, 122405. https://doi.org/10.1016/j.watres.2024.122405


This dataset is a subset of the large-scale "TU Delft - Green Village" (TUD-GV), which includes 9,473 RGB images. More details on the TUD-GV dataset can be found at: https://doi.org/10.5281/zenodo.7636124. This subset used in this publication consists of 1,501 images, selected from the full TUD-GV dataset. All floating litter items in this subset have been annotated with bounding boxes. This subset is specifically for detecting floating litter in object detection tasks.

The 1,501 images are stored in the images.zip file, the annotations are stored in the labels_txt.zip file, and the class of the annotation (i.e., litter) is stored in the classes.txt file.

Cite this dataset

If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:



@article{jia2024detecting,
  title={Detecting floating litter in freshwater bodies with semi-supervised deep learning},
  author={Jia, Tianlong and de Vries, Rinze and Kapelan, Zoran and van Emmerik, Tim HM and Taormina, Riccardo},
  journal={Water Research},
  volume={266},
  pages={122405},
  year={2024},
  publisher={Elsevier}
}
DOI: 10.5281/zenodo.13730228
title: TUD-GV Dataset for Floating Litter Detection (object detection task)

description: Dataset

This dataset contains the data used for the publication:



Jia, T., de Vries, R., Kapelan, Z., van Emmerik, T. H., & Taormina, R. (2024). Detecting floating litter in freshwater bodies with semi-supervised deep learning. Water Research, 266, 122405. https://doi.org/10.1016/j.watres.2024.122405


This dataset is a subset of the large-scale "TU Delft - Green Village" (TUD-GV), which includes 9,473 RGB images. More details on the TUD-GV dataset can be found at: https://doi.org/10.5281/zenodo.7636124. This subset used in this publication consists of 1,501 images, selected from the full TUD-GV dataset. All floating litter items in this subset have been annotated with bounding boxes. This subset is specifically for detecting floating litter in object detection tasks.

The 1,501 images are stored in the images.zip file, the annotations are stored in the labels_txt.zip file, and the class of the annotation (i.e., litter) is stored in the classes.txt file.

Cite this dataset

If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:



@article{jia2024detecting,
  title={Detecting floating litter in freshwater bodies with semi-supervised deep learning},
  author={Jia, Tianlong and de Vries, Rinze and Kapelan, Zoran and van Emmerik, Tim HM and Taormina, Riccardo},
  journal={Water Research},
  volume={266},
  pages={122405},
  year={2024},
  publisher={Elsevier}
}
DOI: 10.25549/inscriptifact-ouc111131534
title: 1 Enoch 106:19-107:1 papyrus, Schoyen MS 4612/6

description: [Text Description:] Text from Enoch ❧ [Text or Publication Number Note:] Schoyen MS 4612/6 ❧ [Medium:] Papyrus ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 1 fragment, 3 partial lines; medium brown, ink clear
DOI: 10.15468/dl.nakzzf
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asterocarpa humilis (Heller, 1878)"
 ]
}

 The dataset includes 189 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005924-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwcsfb
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccoloba cordata var. praecox Hassl."
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012814-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjwcnp
title: Occurrence Download

description: A dataset containing 630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ameerega trivittata (Spix, 1824)"
 ]
}

 The dataset includes 630 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056092-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111303570
title: Leviticus 18

description: [Text Description:] Fragment of Leviticus 18:27-29 plus unidentified first line ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Parchment fragment ❧
DOI: 10.15468/dl.b2dqv7
title: Occurrence Download

description: A dataset listing the 2039 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((101.57684 22.49725,103.08929 22.49725,103.08929 23.40179,101.57684 23.40179,101.57684 22.49725))"
 ]
}

 The dataset's 2039 records were derived from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082349-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111303522
title: Leviticus 18

description: [Text Description:] Fragment of Leviticus 18:27-29 plus unidentified first line ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Parchment fragment ❧
DOI: 10.15468/dl.gmcuzw
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesodesma donacium (Lamarck, 1818)"
 ]
}

 The dataset includes 113 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005937-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55bhx4
title: Occurrence Download

description: A dataset containing 128090 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Michigan Museum of Zoology, Division of Mammals"
 ]
}

 The dataset includes 128090 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039829-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtcci5
title: Occurrence Download

description: A dataset containing 3800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Epidalea calamita (Laurenti, 1768)"
 ]
}

 The dataset includes 3800 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006220-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111303524
title: Leviticus 18

description: [Text Description:] Fragment of Leviticus 18:27-29 plus unidentified first line ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Parchment fragment ❧
DOI: 10.15468/dl.kw66fo
title: Occurrence Download

description: A dataset containing 1638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podocnemis unifilis Troschel, 1848"
 ]
}

 The dataset includes 1638 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005948-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9eynvj
title: Occurrence Download

description: A dataset containing 1557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heterodon nasicus Baird & Girard, 1852"
 ]
}

 The dataset includes 1557 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029562-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m57c3r
title: Occurrence Download

description: A dataset containing 1458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Dianthus superbus var. longicalycinus (Maxim.) F.N.Williams"
 ]
}

 The dataset includes 1458 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082358-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111303525
title: Leviticus 18

description: [Text Description:] Fragment of Leviticus 18:27-29 plus unidentified first line ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Parchment fragment ❧
DOI: 10.15468/dl.sfwaaw
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0",
 "License is CC-BY-NC 4.0"
 ]
 },
 "MediaType is Image",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1246 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002967-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111130312
title: Hev(?)Unidentified Fragment, DSS F.132

description: [Text Description:] Unidentified text ❧ [Text or Publication Number Note:] DSS F.132; DSS F.Unident.; Schoyen MS 5439/2 ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 2.0x1.7cm; reddish-brown, flaking ❧ [Physical Object Note:] Remains of 4 lines; line spacing averages 5mm ❧ [Physical Object Note:] Formerly attached to Schoyen MS 5439/1
DOI: 10.15468/dl.labirz
title: Occurrence Download

description: A dataset containing 83439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-192.52562 -12.9532,-194.79893 -15.02189,-192.84954 -18.52193,-191.6589 -20.39162,-189.29873 -21.68614,-188.83816 -20.13218,-190.36474 -15.27524,-192.52562 -12.9532))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 83439 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005954-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa4are
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amblyraja georgiana (Norman, 1938)"
 ]
}

 The dataset includes 63 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082372-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111131700
title: Enoch parchment, Schoyen MS 4612/8

description: [Text Description:] Text from Enoch ❧ [Text or Publication Number Note:] Schoyen MS 4612/8 ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 1 fragment, 5 partial lines; dark brown with part of surface flaked off
DOI: 10.15468/dl.56pkub
title: Occurrence Download

description: A dataset containing 13504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cypriniformes"
 ]
}

 The dataset includes 13504 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039851-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ei7ake
title: Occurrence Download

description: A dataset containing 38534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lepus timidus Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38534 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002970-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111304262
title: Church of St. Nicholas of the Roof, Ayios Nikolaos tis Stegis

description: [Text Description:] A domed church of the early eleventh century dedicated to St. Nicholas. ❧ [Medium:] Stone ❧ [Script Note:] Greek, Non-Text ❧ [Physical Object Description:] A domed church of the early eleventh century with a later steep-pitched room for protection against the snow. Located about 3 miles above Kakopetria, Cyprus in a wooded valley near a stream. ❧ [Physical Object Note:] The church is the sole remnant of an old monastery founded in the 11th century that flourished in the mid-Byzantine period and during Frankish rule but fell into decline in the 18th century, eventually dissolving. ❧ [Physical Object Note:] The church belongs to the domed cross-in square plan and gets its name from the second timber roof with flat tiles that were made in the Soleas district. The narthex, covered by a calotte and two traverse arches, was added at the beginning of the 12th century. At a later stage the church's original appearance was altered resulting in the destruction of important paintings. ❧
DOI: 10.15468/dl.vnc9qo
title: Occurrence Download

description: A dataset containing 13813758 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 13813758 records from 2156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005952-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1132550.10fu
title: SH1132550.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1132552.10fu
title: SH1132552.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1132561.10fu
title: SH1132561.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1132568.10fu
title: SH1132568.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.