cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13374998
title: TUD-IPB Dataset for Detecting the Interaction between Particles and Biomass

description: This dataset contains the data used for the following publications:





Jia, T., Peng, Z., Yu, J., Piaggio, A. L., Zhang, S., & de Kreuk, M. K. (2024). Detecting the interaction between microparticles and biomass in biological wastewater treatment process with Deep Learning method. Science of The Total Environment, 175813. https://doi.org/10.1016/j.scitotenv.2024.175813Jia, T., Yu, J., Sun, A., Wu, Y., Zhang, S., & Peng, Z. (2025). Semi-supervised learning-based identification of the attachment between sludge and microparticles in wastewater treatment. Journal of Environmental Management, 375, 124268. https://doi.org/10.1016/j.jenvman.2025.124268



The "TU Delft-Interaction between Particles and Biomass” (TUD-IPB) dataset is for detecting the interaction between microparticles and biomass in biological wastewater treatment process  with computer vision. We created this dataset from the experiments conducted in water lab of TU Delft (Stevinweg 1, Delft, Netherlands). The experiment details can be found in the publication. This dataset includes microscope images and mask annotations, that shows the shape and location of free particles and entrapped particles in images.

The images are stored in the images.zip file, the annotations are stored in the labels_txt.zip file, and the classes of the annotation (i.e., entrap particle and free particle) is stored in the classes.txt file.

The filenames of images and annotations includes three parts: Sampling time (the first part), the diameter of biomass (the middle part), and image number (the last part). Details of the first two parts and their meanings are provided in the following table.

Explanation of Filename Components and Their Meanings




The first part of filename
Sampling time 
The middle part of filename
Diameter of biomass (mm)


A10
10 min
bigger3-0
>3.1


A30
30 min
2-0-3-0
2.0-3.1


A60
60 min
1-0-2-0
1.0-2.0


 
 
0-2-1-0
0.2-1.0


 
 
smaller0-2
< 0.2




 

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



@article{jia2024detecting,
  title={Detecting the interaction between microparticles and biomass in biological wastewater treatment process with Deep Learning method},
  author={Jia, Tianlong and Peng, Zhaoxu and Yu, Jing and Piaggio, Antonella L and Zhang, Shuo and de Kreuk, Merle K},
  journal={Science of The Total Environment},
  pages={175813},
  year={2024},
  publisher={Elsevier}
}@article{jia2025semi,  title={Semi-supervised learning-based identification of the attachment between sludge and microparticles in wastewater treatment},  author={Jia, Tianlong and Yu, Jing and Sun, Ao and Wu, Yipeng and Zhang, Shuo and Peng, Zhaoxu},  journal={Journal of Environmental Management},  volume={375},  pages={124268},  year={2025},  publisher={Elsevier}}
DOI: 10.48570/bamf.fdz.ram2015.on.1.0
title: Forschungsdatensatz zur Repräsentativuntersuchung „Ausgewählte Migrantengruppen in Deutschland“ (RAM 2015) – RAM2015.on

description: Die Forschungsdaten beinhalten verschiedene Aspekte der Integration, wie die schulische Bildung, die Berufsausbildung und die berufliche Situation. Ebenso werden Informationen zur Sprache, zur Wohnsituation, zur familiären Situation, zur Partizipation und zu Kontakten zu Deutschen sowie zur Herkunftsgruppe erhoben. Weitere Schwerpunkte der Befragung sind die Bindung an Deutschland und das Heimatland sowie die Religion. RAM2015.on ist ein schwach faktisch anonymisierter Datensatz. Weitere Daten und Dokumentationen, siehe Related Identifiers.
description: Face-to-face interview
description: Mündliche Befragung mit standardisiertem Fragebogen (CAPI) mit Möglichkeit zur Überleitung zu einem Telefoninterview (CATI)
description: Personen mit polnischer, rumänischer und türkischer Staatsangehörigkeit (die nicht zugleich Deutsche sind) sowie Deutsche mit türkischem Migrationshintergrund im Alter von 16 bis 80 Jahren.
description: Adressbeschaffung durch das Forschungszentrum Migration, Integration und Asyl (BAMF-FZ), Stichprobenziehung aus Einwohnermelderegistern
DOI: 10.15468/dl.5b44jj
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triatoma maculata (Erichson, 1848)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 327 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069832-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qd9pry
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypolytrum strictum Poepp. & Kunth"
 ]
}

 The dataset includes 189 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251488-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6upa45
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruehssia hiriartiana (Juárez-Jaimes & W.D.Stevens) L.O.Alvarado"
 ]
}

 The dataset includes 24 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019656-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxs5tz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jurinea annae Sosn."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259598-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gxugf
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arenaria edgeworthiana Majumdar"
 ]
}

 The dataset includes 39 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038173-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fryy72
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jurinea antoninae Iljin"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259599-230224095556074/datasets/export for details.
DOI: 10.15468/dl.rg2d3k
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maripa lewisii D.F.Austin"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019482-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trmy3t
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypoxis bampsiana Wiland"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251508-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ezq6x
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arenaria densissima Wall. ex Edgew. & Hook.f."
 ]
}

 The dataset includes 79 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038167-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hu4tme
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jurinea aucheriana DC."
 ]
}

 The dataset includes 27 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259609-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qgse6
title: Occurrence Download

description: A dataset containing 92477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pedicularis sylvatica L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 92477 records from 509 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040973-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csagmg
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypoxis argentea Harv. ex Baker"
 ]
}

 The dataset includes 152 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251505-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrha6d
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium microstictum (Dahlst. & Enander ex Zahn) Dahlst. & Enander ex Johanss."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245251-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8e5xb
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jurinea baissunensis Iljin"
 ]
}

 The dataset includes 12 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259614-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpbkme
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arenaria festucoides Benth."
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038176-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42c97a
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium metallicorum Gottschl."
 ]
}

 The dataset includes 122 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245243-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.facvqe
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypoxis camerooniana Baker"
 ]
}

 The dataset includes 50 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251509-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvf5br
title: Occurrence Download

description: A dataset containing 27958933 species occurrences available in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Absent"
 ]
}

 The dataset includes 27958933 records from 1866 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038146-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13866467
title: Data supporting: Multiple input tangential interpolation-driven damage detection of a jet trainer aircraft
DOI: 10.5281/zenodo.17312186
title: Data supporting: Multiple input tangential interpolation-driven damage detection of a jet trainer aircraft
DOI: 10.15468/dl.2tgv6v
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mahonia fortunei",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005030-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhta8f
title: Occurrence Download

description: A dataset containing 21911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus serotina",
 "HasCoordinate is true",
 "Country is Denmark"
 ]
}

 The dataset includes 21911 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005029-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1132981.10fu
title: SH1132981.10FU

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/sh1132983.10fu
title: SH1132983.10FU

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/sh1132987.10fu
title: SH1132987.10FU

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/sh1132988.10fu
title: SH1132988.10FU

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/sh1132989.10fu
title: SH1132989.10FU

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/sh1132991.10fu
title: SH1132991.10FU

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/sh1132992.10fu
title: SH1132992.10FU

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/sh1132993.10fu
title: SH1132993.10FU

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.