cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.awzt8t
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Coral Reef Evaluation and Monitoring Project Dry Tortugas 2008",
 "TaxonKey is Porites astreoides"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002381-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18803876
title: Indonesian YouTube Comments Dataset

description: Dataset ini berisi 5.291 komentar YouTube berbahasa Indonesia yang telah melalui tahapan preprocessing dan pelabelan otomatis untuk tugas deteksi sarkasme. Dataset digunakan dalam penelitian deteksi sarkasme dengan model IndoBERT (IndoNLU dan IndoLEM) serta evaluasi berbagai strategi mitigasi ketidakseimbangan kelas.

Struktur dataset:- Dataset utama (imbalanced): 5.291 komentar (1.555 sarkas, 3.736 non-sarkas)- Split untuk skenario imbalanced dan class weighting (85/15 stratified)- Split untuk skenario under sampling (balanced pada data latih)

Pelabelan dilakukan dengan model GPT-4o berdasarkan kriteria sarkasme yang telah didefinisikan (lihat Bab 3 tesis terkait). Dataset ini dirancang untuk penelitian akademis dan non-komersial.

File disediakan dalam satu zip (indonesian-youtube-sarcasm-dataset.zip) dengan folder:- dataset/sarcasm_dataset.csv- splits/imbalance/train.csv, splits/imbalance/eval.csv- splits/under_sampling/train.csv, splits/under_sampling/eval.csv- README.md

Format CSV: id, text, label (0=non-sarkas, 1=sarkas). Lisensi: CC BY-NC 4.0.
DOI: 10.5281/zenodo.18803877
title: Indonesian YouTube Comments Dataset

description: Dataset ini berisi 5.291 komentar YouTube berbahasa Indonesia yang telah melalui tahapan preprocessing dan pelabelan otomatis untuk tugas deteksi sarkasme. Dataset digunakan dalam penelitian deteksi sarkasme dengan model IndoBERT (IndoNLU dan IndoLEM) serta evaluasi berbagai strategi mitigasi ketidakseimbangan kelas.

Struktur dataset:- Dataset utama (imbalanced): 5.291 komentar (1.555 sarkas, 3.736 non-sarkas)- Split untuk skenario imbalanced dan class weighting (85/15 stratified)- Split untuk skenario under sampling (balanced pada data latih)

Pelabelan dilakukan dengan model GPT-4o berdasarkan kriteria sarkasme yang telah didefinisikan (lihat Bab 3 tesis terkait). Dataset ini dirancang untuk penelitian akademis dan non-komersial.

File disediakan dalam satu zip (indonesian-youtube-sarcasm-dataset.zip) dengan folder:- dataset/sarcasm_dataset.csv- splits/imbalance/train.csv, splits/imbalance/eval.csv- splits/under_sampling/train.csv, splits/under_sampling/eval.csv- README.md

Format CSV: id, text, label (0=non-sarkas, 1=sarkas). Lisensi: CC BY-NC 4.0.
DOI: 10.5281/zenodo.10993595
title: Cell Nuclei EBB Dataset

description: Dataset description

Cell Nuclei EBB Dataset is comprised of 17,455 images, captured in a Sartorius IncuCyte Incubator/Microscope, with 20x magnification.

This dataset was generated in order to train a deep learning model for nuclei detection in brightfield images (unpublished) at LabSinal laboratory (https://www.ufrgs.br/labsinal/), and contains annotations on 387,245 cancer/fibroblast cells' nuclei.

Annotations are described as elipses (Eliptical Bounding Boxes - EBB) by columns: img_file_name,cx,cy,width,height,angle, stored in "annotations.csv" file, in which:

img_file_name: refers to the source image (one of the 17,455 present in the "imgs" folder);cx: pixel coordinate of the X center of the current EBB;cy: pixel coordinate of the Y center of the current EBB;width: lateral dimension, in pixels, of the current EBB;height: lateral dimension, in pixels, of the current EBB;angle: angle, in degrees, relative to the horizontal, of the current EBB.The annotation process was performed using forNMA (unpublished), a tool for the automatic nucleus segmentation in fluorescence images. All images in this dataset had its respective fluorescence channel image (data not shown), whose fluorescent marker (either H2B, 53BP1 or DAPI) was used to obtain nucleus coordinates/shape.

Further information

Cell lines (as described in column "cell_line" in "lines_and_treatments_info.csv" file):, and also in "dataset_description.csv" file):

A172, U87 and U251: human glioblastomaMRC5: human lung fibroblastCultivation condition (as described in column "treatment" in "lines_and_treatments_info.csv", and also in "dataset_description.csv" file):

CTR: cells belonging to the control group - without the addition of chemotherapy;TMZ: Temozolomide;ACT: Actinomycin D;EGF: Epidermal Growth Factor;3MA: 3-Methyladenine;HCQ: Hydroxychloroquine;TMZ_ACT: Combination of Temozolomide and Actinomycin D;TRAM: Trametinib.

Additional information files are stored in csv files, inside main folder.

Annotations as previously described in the Abstract section are stored in "annotations.csv" file.

Example image

This example image illustrates the annotations (performed by forNMA, shown in green) compared to the trained model (retrained R2CNN, shown in blue).
DOI: 10.5281/zenodo.10993596
title: Cell Nuclei EBB Dataset

description: Dataset description

Cell Nuclei EBB Dataset is comprised of 17,455 images, captured in a Sartorius IncuCyte Incubator/Microscope, with 20x magnification.

This dataset was generated in order to train a deep learning model for nuclei detection in brightfield images (unpublished) at LabSinal laboratory (https://www.ufrgs.br/labsinal/), and contains annotations on 387,245 cancer/fibroblast cells' nuclei.

Annotations are described as elipses (Eliptical Bounding Boxes - EBB) by columns: img_file_name,cx,cy,width,height,angle, stored in "annotations.csv" file, in which:

img_file_name: refers to the source image (one of the 17,455 present in the "imgs" folder);cx: pixel coordinate of the X center of the current EBB;cy: pixel coordinate of the Y center of the current EBB;width: lateral dimension, in pixels, of the current EBB;height: lateral dimension, in pixels, of the current EBB;angle: angle, in degrees, relative to the horizontal, of the current EBB.The annotation process was performed using forNMA (unpublished), a tool for the automatic nucleus segmentation in fluorescence images. All images in this dataset had its respective fluorescence channel image (data not shown), whose fluorescent marker (either H2B, 53BP1 or DAPI) was used to obtain nucleus coordinates/shape.

Further information

Cell lines (as described in column "cell_line" in "lines_and_treatments_info.csv" file):, and also in "dataset_description.csv" file):

A172, U87 and U251: human glioblastomaMRC5: human lung fibroblastCultivation condition (as described in column "treatment" in "lines_and_treatments_info.csv", and also in "dataset_description.csv" file):

CTR: cells belonging to the control group - without the addition of chemotherapy;TMZ: Temozolomide;ACT: Actinomycin D;EGF: Epidermal Growth Factor;3MA: 3-Methyladenine;HCQ: Hydroxychloroquine;TMZ_ACT: Combination of Temozolomide and Actinomycin D;TRAM: Trametinib.

Additional information files are stored in csv files, inside main folder.

Annotations as previously described in the Abstract section are stored in "annotations.csv" file.

Example image

This example image illustrates the annotations (performed by forNMA, shown in green) compared to the trained model (retrained R2CNN, shown in blue).
DOI: 10.5281/zenodo.11475163
title: Cell Nuclei Classification Dataset

description: Dataset description

Cell Nuclei Classification Dataset is comprised of 63,228 images crops, captured in a Sartorius IncuCyte Incubator/Microscope, with 20x magnification.

This dataset was generated in order to train a deep learning model for nuclei classification in fluorescence/brightfield images (unpublished) at LabSinal laboratory (https://www.ufrgs.br/labsinal/), and contains annotations on two phenotypes: autophagy and cell cycle.

Annotations are described in the "dataset_df.csv" in each respective subfolder, and are essentially described by columns:

crop_name: represents the file name stored in "train", "val" or "test" subfolders.

treatment: stands for the treatment group of the original image (CTR: control, TMZ: temozolomide)

class: represents the label/phenotype of the given nucleus (which was obtained using the information from the fluorescence channel of the respective nucleus)

split: the split group (dataset is balanced, and splits are stratified according to the class and treatment, to avoid learning bias)
DOI: 10.5281/zenodo.11475164
title: Cell Nuclei Classification Dataset

description: Dataset description

Cell Nuclei Classification Dataset is comprised of 63,228 images crops, captured in a Sartorius IncuCyte Incubator/Microscope, with 20x magnification.

This dataset was generated in order to train a deep learning model for nuclei classification in fluorescence/brightfield images (unpublished) at LabSinal laboratory (https://www.ufrgs.br/labsinal/), and contains annotations on two phenotypes: autophagy and cell cycle.

Annotations are described in the "dataset_df.csv" in each respective subfolder, and are essentially described by columns:

crop_name: represents the file name stored in "train", "val" or "test" subfolders.

treatment: stands for the treatment group of the original image (CTR: control, TMZ: temozolomide)

class: represents the label/phenotype of the given nucleus (which was obtained using the information from the fluorescence channel of the respective nucleus)

split: the split group (dataset is balanced, and splits are stratified according to the class and treatment, to avoid learning bias)
DOI: 10.15468/dl.c4anpx
title: Occurrence Download

description: A dataset containing 134484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Circus pygargus (Linnaeus, 1758))",
 "HasCoordinate is true",
 "DecimalLatitude is greater than or equal to 29.93667",
 "DecimalLatitude is less than or equal to 51.91193",
 "DecimalLongitude is greater than or equal to -14.67522",
 "DecimalLongitude is less than or equal to 39.79752",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)",
 "Year is greater than or equal to 1970",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 134484 records from 910 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040734-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jugtle
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Denmark",
 {
 "or" : [
 "Issue is Recorded date mismatch",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate uncertainty meters invalid"
 ]
 },
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Chilopoda",
 "TaxonKey is Diplopoda"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 127 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011836-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkq16u
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024313-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.safquq
title: Occurrence Download

description: A dataset containing 345081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Mozambique",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 345081 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0347262-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt8spd
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015215-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11226438
title: Data for: Iron oxyhydroxide rich hydrothermal deposits at the high-temperature Fåvne vent field, Mohns Ridge

description: The datset consists of location, bulk geochemistry (raw results, analyses accuracy and precision), mineralogy, and ages of hydrothermal rock samples and sediment push cores from the Favne vent field (Mohns Ridge), as well as distribution of elemental concentrations of global mid-ocean ridg hosted hydrothermal deopsits classified by basement lithology.
DOI: 10.15468/dl.562l7u
title: Occurrence Download

description: A dataset containing 1171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diadema antillarum Philippi, 1845"
 ]
}

 The dataset includes 1171 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035908-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11226437
title: Data for: Iron oxyhydroxide rich hydrothermal deposits at the high-temperature Fåvne vent field, Mohns Ridge

description: The datset consists of location, bulk geochemistry (raw results, analyses accuracy and precision), mineralogy, and ages of hydrothermal rock samples and sediment push cores from the Favne vent field (Mohns Ridge), as well as distribution of elemental concentrations of global mid-ocean ridg hosted hydrothermal deopsits classified by basement lithology.
DOI: 10.15468/dl.mzxeun
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Baccharis elliptica Gardner"
 ]
}

 The dataset includes 156 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040730-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2l6saw
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013956-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11109676
title: Loris HRTF dataset

description: This dataset comprises Head-Related Transfer Functions (HRTFs) generated through an advanced data-driven, machine-learning-based approach. These HRTFs are personalized, direction-dense, and lowpass-filtered, derived from detailed meshes of individual user's head and a non-uniform set of dynamic data measurements.

Please refer to the paper titled "An Approach for Mesh-Based Generation of Spatially Dense, Lowpass-Filtered, Individualized HRTFs Using Dynamic Data Acquisition" by Quattrini et al., presented at the AES 156th Convention, held from June 15–17, 2024, in Madrid, Spain.
DOI: 10.5281/zenodo.11109675
title: Loris HRTF dataset

description: This dataset comprises Head-Related Transfer Functions (HRTFs) generated through an advanced data-driven, machine-learning-based approach. These HRTFs are personalized, direction-dense, and lowpass-filtered, derived from detailed meshes of individual user's head and a non-uniform set of dynamic data measurements.

Please refer to the paper titled "An Approach for Mesh-Based Generation of Spatially Dense, Lowpass-Filtered, Individualized HRTFs Using Dynamic Data Acquisition" by Quattrini et al., presented at the AES 156th Convention, held from June 15–17, 2024, in Madrid, Spain.
DOI: 10.5281/zenodo.11638932
title: CRISPS coding scheme for complex casual leisure search requests  — Auxiliary materials

description: This repository contains auxiliary materials related to the CRISPS coding scheme for complex casual leisure search requests. The CRISPS coding scheme is described in the article "Understanding Complex Casual Leisure Information Needs: An Analysis of Search Requests for Books, Games, Movies and Music" by Toine Bogers (= corresponding author), Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. The article provides a comprehensive analysis of complex search requests in the casual leisure domains of books, games, movies and music using the CRISPS coding scheme.

This repository contains the following auxiliary materials:



The CRISPS codebooks for all four domains along with examples for each code and a comparison between the four domains (codebook.pdf)

The CRISPS coding scheme figures from the article in a single PDF file (coding-scheme.pdf)

The CRISPS coding scheme from the article in a machine-readable TSV-format (coding-scheme.tsv)

All 2000 posts along with their assigned CRISPS codes in TSV-format (all-posts.tsv)

The appendix belonging to the article
DOI: 10.5281/zenodo.6814287
title: CRISPS coding scheme for complex casual leisure search requests  — Auxiliary materials

description: This repository contains auxiliary materials related to the CRISPS coding scheme for complex casual leisure search requests. The CRISPS coding scheme is described in the article "Understanding Complex Casual Leisure Information Needs: An Analysis of Search Requests for Books, Games, Movies and Music" by Toine Bogers (= corresponding author), Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. The article provides a comprehensive analysis of complex search requests in the casual leisure domains of books, games, movies and music using the CRISPS coding scheme.

This repository contains the following auxiliary materials:



The CRISPS codebooks for all four domains along with examples for each code and a comparison between the four domains (codebook.pdf)

The CRISPS coding scheme figures from the article in a single PDF file (coding-scheme.pdf)

The CRISPS coding scheme from the article in a machine-readable TSV-format (coding-scheme.tsv)

All 2000 posts along with their assigned CRISPS codes in TSV-format (all-posts.tsv)

The appendix belonging to the article
DOI: 10.15468/dl.onkiuk
title: Occurrence Download

description: A dataset containing 271968537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry POLYGON((-10.67 71.05,-10.67 34.5,31.55 34.5,31.55 71.05,-10.67 71.05))",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation"
 ]
 }
 ]
}

 The dataset includes 271968537 records from 3651 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012287-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/bex-zlr-06w
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pel-2m7-lhd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p8r-x97-kgv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vep-ym3-tgh
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/760-hlj-t26
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xxl-daa-4lr
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dvt-x47-gsk
title: Heteroschismoides Ludbrook, 1960

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16898629
title: PROBLEMS AND SOLUTIONS IN THE INTEGRATED APPLICATION OF FOLK PEDAGOGY IN TODAY'S EDUCATION SYSTEM

description: This article explores the significance, challenges, and strategic solutions related to the integrated application of folk pedagogy in the modern education system. Folk pedagogy, with its deep moral and cultural roots, is recognized as a valuable resource for enhancing students' spiritual and ethical development. However, its application faces several obstacles including methodological gaps, generational disconnection, curriculum rigidity, and limited teacher preparedness. The article proposes practical recommendations such as curriculum reform, teacher training, community involvement, and the use of digital technologies to ensure effective implementation. Emphasis is placed on the transformative potential of folk pedagogy to create culturally responsive and morally enriched learning environments.
DOI: 10.5281/zenodo.16898630
title: PROBLEMS AND SOLUTIONS IN THE INTEGRATED APPLICATION OF FOLK PEDAGOGY IN TODAY'S EDUCATION SYSTEM

description: This article explores the significance, challenges, and strategic solutions related to the integrated application of folk pedagogy in the modern education system. Folk pedagogy, with its deep moral and cultural roots, is recognized as a valuable resource for enhancing students' spiritual and ethical development. However, its application faces several obstacles including methodological gaps, generational disconnection, curriculum rigidity, and limited teacher preparedness. The article proposes practical recommendations such as curriculum reform, teacher training, community involvement, and the use of digital technologies to ensure effective implementation. Emphasis is placed on the transformative potential of folk pedagogy to create culturally responsive and morally enriched learning environments.
DOI: 10.3535/b21-ywg-n1a
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z2n-b2r-7cr
title: Nyssa Gronov. ex L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8rl-5w0-1ht
title: Bolivina striatula Cushman, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tnb-2d8-g7g
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gxv-7gt-yc9
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s7d-35c-4zh
title: †Siphonodosaria insecta (Schwager, 1866)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z2k-adk-ypw
title: Lenticulina rotulata (Lamarck, 1804)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.