cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.azs8bd
title: Occurrence Download

description: A dataset containing 2458 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Ictiología"
 ]
}

 The dataset includes 2458 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246114-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3su3xd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zoraptera",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262344-220831081235567/datasets/export for details.
DOI: 10.15468/dl.k5rd7u
title: Occurrence Download

description: A dataset containing 3221113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Finland, Germany, Portugal, Norway, Sweden, Netherlands, France, United Kingdom of Great Britain and Northern Ireland, Spain)",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 3221113 records from 2471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262366-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud5fax
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marrubium vulgare",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007909-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7csb6e
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epimedium acuminatum"
 ]
}

 The dataset includes 454 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007907-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpcws5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAA6518"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007908-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa6u5d
title: Occurrence Download

description: A dataset containing 3062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nototodarus sloanii",
 "Year 2000-2025"
 ]
}

 The dataset includes 3062 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007910-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhs9vv
title: Occurrence Download

description: A dataset containing 7999 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hedysarum boreale"
 ]
}

 The dataset includes 7999 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007911-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nufvtq
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etheostoma flabellare lineolatum"
 ]
}

 The dataset includes 177 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007913-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvzghf
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epimedium diphyllum"
 ]
}

 The dataset includes 229 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007912-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfpheq
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melissa officinalis",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 107 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007914-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5ukzd
title: Occurrence Download

description: A dataset containing 157229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Buxus sempervirens"
 ]
}

 The dataset includes 157229 records from 1248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007887-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15069074
title: HER2 Breast Cancer Digital Image Dataset (ADEL Dataset).

description: HER2 Breast Cancer Digital Image Dataset (ADEL Dataset).

 

We have developed the first Kazakhstani dataset of digital images for HER2 breast cancer analysis. The dataset consists of images sourced from the pathological archives of the Department of Pathology at the Almaty Oncology Center and the Kazakh Institute of Oncology. Each image is labeled with HER2 expression levels manually assessed by experienced pathologists, with in situ hybridization (ISH) performed in equivocal cases to establish ground truth.

The dataset contains 418 images in PNG format. The annotations can be found in the file her2_dataset/labels.csv.

 HER2 IHC High-Resolution Dataset (Version 0.2)

This is **Version 0.2** of the HER2 Immunohistochemistry (IHC) dataset. It includes **high-resolution `.tar` archives** containing processed image tiles extracted from whole-slide images (WSIs). This dataset is hosted on the [Hugging Face Hub].

Digital images were acquired via a fully automated digital system (KFB PRO 120 scanner) at INVIVO LLP with 40x magnification and one focusing layer, ranging in size from 50 MB to 2 GB, depending on the size of the tissue sample fixed on the original slide. The dataset consists of 418 images, which were preprocessed using a conversion script that transformed SVS files into sub-images with a 1:1 aspect ratio in JPEG format. A non-overlapping sliding window approach was applied to generate these sub-images, optimized for machine learning applications.

The compressed .png version of the dataset may serve as a visual reference to the characteristics of the original images.

---

 📥 Download Instructions

 🔸 Option 1: Using Python (via `datasets` library)

python
from datasets import load_dataset

dataset = load_dataset("aidosSarsembayev/adel_dataset_1")

This will provide access to metadata or a data loader if defined. For raw files (e.g., `.tar`), use git-lfs:

 🔸 Option 2: Using `git` + `git-lfs` (recommended for large files)

bash
git lfs install
git clone https://huggingface.co/datasets/aidosSarsembayev/adel_dataset_1


This will download all parts of the dataset, including large `.tar` files.

---

 📜 Dataset Contents

The dataset consists of multiple `.tar.gz` archive files:

- `HER2_001_009.tar.gz`- `HER2_010_019.tar.gz`- ...- `HER2_420_429.tar.gz`

Each archive contains high-resolution tiles from several HER2 slides.

A JSON manifest (`manifest.json`) is provided, mapping each archive to the slide IDs it contains.

---

 🧪 Usage

This dataset is intended for research on:

- HER2 status classification- Digital pathology and WSI analysis- IHC image processing

---

 🔧 Processing Scripts

To reproduce or analyze the dataset, use the scripts provided in the following repository:

🔗 [GitHub – HER2 Data Processing]()

---

 📝 Citation and License

Please refer to the associated Zenodo record or publication for citation and licensing terms. Creative Commons licenses may apply (e.g., CC-BY 4.0).

---

Maintained by: [@asarsembayev](https://huggingface.co/aidosSarsembayev)
DOI: 10.5281/zenodo.15872690
title: HER2 Breast Cancer Digital Image Dataset (ADEL Dataset).

description: HER2 Breast Cancer Digital Image Dataset (ADEL Dataset).

 

We have developed the first Kazakhstani dataset of digital images for HER2 breast cancer analysis. The dataset consists of images sourced from the pathological archives of the Department of Pathology at the Almaty Oncology Center and the Kazakh Institute of Oncology. Each image is labeled with HER2 expression levels manually assessed by experienced pathologists, with in situ hybridization (ISH) performed in equivocal cases to establish ground truth.

The dataset contains 418 images in PNG format. The annotations can be found in the file her2_dataset/labels.csv.

 HER2 IHC High-Resolution Dataset (Version 0.2)

This is **Version 0.2** of the HER2 Immunohistochemistry (IHC) dataset. It includes **high-resolution `.tar` archives** containing processed image tiles extracted from whole-slide images (WSIs). This dataset is hosted on the [Hugging Face Hub].

Digital images were acquired via a fully automated digital system (KFB PRO 120 scanner) at INVIVO LLP with 40x magnification and one focusing layer, ranging in size from 50 MB to 2 GB, depending on the size of the tissue sample fixed on the original slide. The dataset consists of 418 images, which were preprocessed using a conversion script that transformed SVS files into sub-images with a 1:1 aspect ratio in JPEG format. A non-overlapping sliding window approach was applied to generate these sub-images, optimized for machine learning applications.

The compressed .png version of the dataset may serve as a visual reference to the characteristics of the original images.

---

 📥 Download Instructions

 🔸 Option 1: Using Python (via `datasets` library)

python
from datasets import load_dataset

dataset = load_dataset("aidosSarsembayev/adel_dataset_1")

This will provide access to metadata or a data loader if defined. For raw files (e.g., `.tar`), use git-lfs:

 🔸 Option 2: Using `git` + `git-lfs` (recommended for large files)

bash
git lfs install
git clone https://huggingface.co/datasets/aidosSarsembayev/adel_dataset_1


This will download all parts of the dataset, including large `.tar` files.

---

 📜 Dataset Contents

The dataset consists of multiple `.tar.gz` archive files:

- `HER2_001_009.tar.gz`- `HER2_010_019.tar.gz`- ...- `HER2_420_429.tar.gz`

Each archive contains high-resolution tiles from several HER2 slides.

A JSON manifest (`manifest.json`) is provided, mapping each archive to the slide IDs it contains.

---

 🧪 Usage

This dataset is intended for research on:

- HER2 status classification- Digital pathology and WSI analysis- IHC image processing

---

 🔧 Processing Scripts

To reproduce or analyze the dataset, use the scripts provided in the following repository:

🔗 [GitHub – HER2 Data Processing]()

---

 📝 Citation and License

Please refer to the associated Zenodo record or publication for citation and licensing terms. Creative Commons licenses may apply (e.g., CC-BY 4.0).

---

Maintained by: [@asarsembayev](https://huggingface.co/aidosSarsembayev)
DOI: 10.6084/m9.figshare.29554430
title: Redesain Website NOIU Event Organizer Menggunakan Metode Design Thinking untuk Meningkatk.pdf

description: Website merupakan medium krusial bagi perusahaan jasa seperti Event Organizer (EO) untuk membangun citra merek dan menjangkau calon klien. Website NOIU Event Organizer yang ada saat ini diidentifikasi memiliki sejumlah kekurangan dalam aspek desain antarmuka, arsitektur informasi, dan pengalaman pengguna (UX) secara keseluruhan. Penelitian ini bertujuan untuk merancang ulang website noiu-eo.com dengan menerapkan metode Design Thinking, sebuah pendekatan yang berpusat pada pengguna. Proses perancangan melalui lima tahapan: Empathize, Define, Ideate, Prototype, dan Test. Hasil dari penelitian ini adalah sebuah prototipe high-fidelity yang fungsional dan interaktif. Desain baru ini menawarkan struktur informasi yang lebih jelas, navigasi yang intuitif, dan identitas visual yang profesional, sehingga secara signifikan meningkatkan pengalaman pengguna. Pendekatan Design Thinking terbukti efektif dalam menerjemahkan kebutuhan pengguna menjadi solusi desain yang konkret dan teruji.
DOI: 10.6084/m9.figshare.29554430.v1
title: Redesain Website NOIU Event Organizer Menggunakan Metode Design Thinking untuk Meningkatk.pdf

description: Website merupakan medium krusial bagi perusahaan jasa seperti Event Organizer (EO) untuk membangun citra merek dan menjangkau calon klien. Website NOIU Event Organizer yang ada saat ini diidentifikasi memiliki sejumlah kekurangan dalam aspek desain antarmuka, arsitektur informasi, dan pengalaman pengguna (UX) secara keseluruhan. Penelitian ini bertujuan untuk merancang ulang website noiu-eo.com dengan menerapkan metode Design Thinking, sebuah pendekatan yang berpusat pada pengguna. Proses perancangan melalui lima tahapan: Empathize, Define, Ideate, Prototype, dan Test. Hasil dari penelitian ini adalah sebuah prototipe high-fidelity yang fungsional dan interaktif. Desain baru ini menawarkan struktur informasi yang lebih jelas, navigasi yang intuitif, dan identitas visual yang profesional, sehingga secara signifikan meningkatkan pengalaman pengguna. Pendekatan Design Thinking terbukti efektif dalam menerjemahkan kebutuhan pengguna menjadi solusi desain yang konkret dan teruji.
DOI: 10.15468/dl.55zdcu
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epimedium grandiflorum thunbergianum"
 ]
}

 The dataset includes 907 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007916-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byujxp
title: Occurrence Download

description: A dataset containing 16093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Larvivora cyane)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 16093 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060084-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npx9wx
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus rosifolius",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060085-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i26108968n12p25
title: Nota editoriale
DOI: 10.5281/zenodo.16526922
title: Raw data and code for the article"Multi-omics Mendelian Randomization Analysis Identifies Key Role of ADM in Endothelial Immunometabolic Axis of Myocardial Infarction"
DOI: 10.5281/zenodo.16526921
title: Raw data and code for the article"Multi-omics Mendelian Randomization Analysis Identifies Key Role of ADM in Endothelial Immunometabolic Axis of Myocardial Infarction"
DOI: 10.15468/dl.qrwqjf
title: Occurrence Download

description: A dataset containing 26 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode IN ('CN', 'TW')
 AND (CAST(occurrence.taxonkey AS INTEGER) = 7722243 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 7722243 OR CAST(occurrence.kingdomkey AS INTEGER) = 7722243 OR CAST(occurrence.phylumkey AS INTEGER) = 7722243 OR CAST(occurrence.classkey AS INTEGER) = 7722243 OR CAST(occurrence.orderkey AS INTEGER) = 7722243 OR CAST(occurrence.familykey AS INTEGER) = 7722243 OR CAST(occurrence.genuskey AS INTEGER) = 7722243 OR CAST(occurrence.specieskey AS INTEGER) = 7722243)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 26 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060059-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/w68b-k4qs
title: Aerosol light scattering at Hyytiälä

description: Measurement of Aerosol light scattering at Hyytiälä
DOI: 10.48597/k4p2-jbne
title: Measurement of Aerosol light scattering at Hyytiälä

description: Measurement of Aerosol light scattering at Hyytiälä
DOI: 10.48597/ryfn-cqvz
title: Measurement of Aerosol light scattering at Hyytiälä

description: Measurement of Aerosol light scattering at Hyytiälä
DOI: 10.1285/i26108968n12p27
title: Pensieri sull'educazione
DOI: 10.15468/dl.rh32sd
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hydrocharis dubia"
 ]
}

 The dataset includes 275 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060092-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnga6q
title: Occurrence Download

description: A dataset containing 662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus rosifolius",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 662 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060087-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i26108968n12p231
title: Dall'Empirismo Gnoseologico e Pedagogico di John Locke all'Epistemologia Critica delle Scienze dell'Educazione: a mo' di Postfazione
DOI: 10.15468/dl.dyuhq7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artemisia vulgaris",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060093-250717081556266/datasets/export for details.
DOI: 10.6084/m9.figshare.29654879
title: <b>The sex-specific nutritional requirements of mating in insects with contrasting mating systems</b>

description: We test how mating affects total macronutrient intake and the ratio of protein to carbohydrate that males and females consume when given dietary choice. We study three insect species (Australian field crickets – <i>Teleogryllus commodus</i>; decorated crickets – <i>Gryllodes sigillatus;</i> cockroaches – <i>Nauphoeta cinerea</i>). The data associated with each species is presented here in a distinct worksheet. Diet pairs, as well as how vector length (VL) and angle are calculated, are all described in the associated manuscript. If anything is unclear, please do get in touch - rutharcher0 - at - gmail.com.
DOI: 10.6084/m9.figshare.29654879.v1
title: <b>The sex-specific nutritional requirements of mating in insects with contrasting mating systems</b>

description: We test how mating affects total macronutrient intake and the ratio of protein to carbohydrate that males and females consume when given dietary choice. We study three insect species (Australian field crickets – <i>Teleogryllus commodus</i>; decorated crickets – <i>Gryllodes sigillatus;</i> cockroaches – <i>Nauphoeta cinerea</i>). The data associated with each species is presented here in a distinct worksheet. Diet pairs, as well as how vector length (VL) and angle are calculated, are all described in the associated manuscript. If anything is unclear, please do get in touch - rutharcher0 - at - gmail.com.
DOI: 10.1285/i26108968n12p248
title: Colophon