cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17727111
title: geo_tiny

description: GEO dataset with 700k samples, subsetted to 350k samples. Annotated with natural language descriptions obtained in CellWhisperer Study.

## Processed AnnData Objects

This deposit contains processed AnnData objects (single-cell genomics data) that were processed using the `adata_hf_datasets` Python package. The files are in HDF5 (.h5ad) or Zarr format and contain preprocessed gene expression data along with computed embeddings.

### Available Embeddings (.obsm layers)

The AnnData objects contain the following embedding layers: `X_pca`, `X_scvi_fm`, `X_gs10k`, `X_geneformer`, `X_geneformer-v1`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/geo_tiny](https://huggingface.co/datasets/jo-mengr/geo_tiny)- **Raw Data Source**: [Download](https://medical-epigenomics.org/papers/schaefer2024/data/datasets/archs4_geo/full_data.h5ad)

## Package Information

These files were processed using the `adata_hf_datasets` package. For more information about the processing pipeline, please refer to the associated HuggingFace dataset repository.
DOI: 10.5517/ccdc.csd.cc2n8kzh
title: CCDC 2451107: Experimental Crystal Structure Determination

description: Related Article: Shanmugam Ramasamy, Reema L. Borkar, Chandra Lekha Putta, Merlin Platto, Nitisha Beniwal, Bharathi Banoth, Abhishesh Kumar Mehata, Aravind Kumar Rengan|2025|Dalton Trans.|54|17531|doi:10.1039/d5dt01577d
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n8l0k
title: CCDC 2451108: Experimental Crystal Structure Determination

description: Related Article: Shanmugam Ramasamy, Reema L. Borkar, Chandra Lekha Putta, Merlin Platto, Nitisha Beniwal, Bharathi Banoth, Abhishesh Kumar Mehata, Aravind Kumar Rengan|2025|Dalton Trans.|54|17531|doi:10.1039/d5dt01577d
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17026/ar/hbylgl
title: De Bijlen te Alphen aan den Rijn, gemeente Alphen aan den Rijn
title: Een bureauonderzoek en inventariserend veldonderzoek in de vorm van een verkennend booronderzoek

description: Op basis van het bureauonderzoek is een gespecificeerde archeologische verwachting opgesteld.

Binnen het plangebied kunnen archeologische waarden worden aangetroffen, uit de Romeinse tijd en de Nieuwe tijd en mogelijk ook uit de IJzertijd en Middeleeuwen, welke samenhangen met de vermoedelijke aanwezigheid van begraven oeverwallen in het plangebied en de vanaf de Nieuwe tijd gevormde crevasseafzettingen net buiten of mogelijk net in het plangebied,

Bij de geplande ingrepen is kans op verstoring, omdat het ophogingspakket mogelijk dunner is dan de geplande ontgravingen, welke tot een diepte van 1 m onder het maaiveld zullen plaatsvinden.

Om bovenstaande verwachting te toetsen en aan te vullen is in het plangebied een verkennend booronderzoek uitgevoerd. Tijdens dit booronderzoek is vastgesteld dat het plangebied zich bevond in een veengebied. Daar kwam verandering in door de komst van een crevassegeul door het plangebied. Deze heeft crevasseafzettingen en restgeulafzettingen gesedimenteerd binnen het plangebied. Om de crevassegeul heen werden komafzettingen gesedimenteerd. In de
crevasseafzettingen zijn geen kenmerken van bodemvorming aangetroffen.

Ook was er sprake van verstoring binnen het plangebied. Dit heeft vooral te maken gehad met de aanleg van een parkeerplaats voor vrachtwagens en de bouw van een popodium. Door de afwezigheid van bodemvorming en de hoge mate van verstoring kan de archeologische verwachting worden bijgesteld naar laag.

ADC ArcheoProjecten adviseert om het plangebied vrij te geven voor de voorgenomen ontwikkeling. Het is altijd mogelijk dat tijdens grondwerkzaamheden onverwacht archeologische vondsten aan het licht komen. Het verdient daarom aanbeveling om de uitvoerder van de grondwerkzaamheden te wijzen op de plicht deze zogenoemde toevalsvondsten te melden bij de bevoegde overheid, zoals aangegeven in artikel 5.10 en 5.11 van de Erfgoedwet. De melding dient behalve bij de Rijksdienst voor het Cultureel Erfgoed (RCE) tevens plaats te vinden bij de
gemeente Alphen aan den Rijn.
DOI: 10.17026/ar/z57nkg
title: Jachtlaan 8 te Apeldoorn, gemeente Apeldoorn
title: Een inventariserend veldonderzoek in de vorm van een verkennend booronderzoek

description: Uit het bureauonderzoek is gebleken dat voor het plangebied een middelhoge verwachting ten aanzien van de aanwezigheid van archeologische waarden geldt voor de periode Laat-Paleolithicum t/m Late Middeleeuwen en een hoge verwachting voor de periode Nieuwe tijd. Hoewel er altijd een kans bestaat dat (sommige) relevante archeologische lagen (ten dele) niet meer aanwezig zijn, of (ten dele) niet worden bedreigd door toekomstige ontgravingen, is de bodemopbouw op basis van bureauonderzoek alleen niet vast te stellen. Hetzelfde geldt voor de aard en mate van eventuele bodemverstoringen. Om de gespecificeerde archeologische verwachting te toetsen en aan te vullen is daarom een verkennend booronderzoek uitgevoerd.

Het verkennend booronderzoek wijst uit dat de ondergrond uit veelal grindhoudend zand met een variabele korrelgrootte variërend van matig fijn tot uiterst grof bestaat. Dit zand wordt als onverstoorde smeltwaterafzettingen (C-horizont; Laagpakket van Schaarsbergen, Formatie van Drente) geïnterpreteerd. Deze afzettingen gaan naar boven toe over in een heterogeen, zwak humeus zandpakket van 25 tot 95 cm dikte. Dit betreft een moderne bouwvoor (A/Cp-horizont). In boring 4 is een afwijkend bodemprofiel aangetroffen. Hier is sprake van een opgebracht zandpakket van 230 cm dikte.

In geen van de boringen zijn in de huidige top van de smeltwaterafzettingen sporen van podzolering waargenomen. Een eventuele podzolbodem in de oorspronkelijke top van de smeltwater- of dekzandafzettingen zal door de in de jaren twintig of dertig van de vorige eeuw uitgevoerde zandafgraving en in latere perioden uitgevoerde bouwactiviteiten volledig zijn verdwenen. Indien oorspronkelijk aanwezig zullen archeologische sporen, ook dieper ingegraven sporen, daarbij zijn vernietigd en zullen vondsten niet meer intact aanwezig zijn. Op basis van de
resultaten van het verkennend booronderzoek kan de middelhoge tot hoge verwachting voor archeologische resten naar een lage verwachting worden bijgesteld.

ADC ArcheoProjecten adviseert om het plangebied vrij te geven voor de voorgenomen ontwikkeling. Het is altijd mogelijk dat tijdens grondwerkzaamheden onverwacht archeologische vondsten aan het licht komen. Het verdient daarom aanbeveling om de uitvoerder van de grondwerkzaamheden te wijzen op de plicht deze zogenoemde toevalsvondsten te melden bij de bevoegde overheid, zoals aangegeven in artikel 5.10 en 5.11 van de Erfgoedwet. De melding dient behalve bij de Rijksdienst voor het Cultureel Erfgoed (RCE) tevens plaats te vinden bij de
gemeente Apeldoorn.
DOI: 10.5281/zenodo.17726968
title: geo_tiny

description: GEO dataset with 700k samples, subsetted to 350k samples. Annotated with natural language descriptions obtained in CellWhisperer Study.

## Processed AnnData Objects

This deposit contains processed AnnData objects (single-cell genomics data) that were processed using the `adata_hf_datasets` Python package. The files are in HDF5 (.h5ad) or Zarr format and contain preprocessed gene expression data along with computed embeddings.

### Available Embeddings (.obsm layers)

The AnnData objects contain the following embedding layers: `X_pca`, `X_scvi_fm`, `X_gs10k`, `X_geneformer`, `X_geneformer-v1`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/geo_tiny](https://huggingface.co/datasets/jo-mengr/geo_tiny)- **Raw Data Source**: [Download](https://medical-epigenomics.org/papers/schaefer2024/data/datasets/archs4_geo/full_data.h5ad)

## Package Information

These files were processed using the `adata_hf_datasets` package. For more information about the processing pipeline, please refer to the associated HuggingFace dataset repository.
DOI: 10.5281/zenodo.17726969
title: geo_tiny

description: GEO dataset with 700k samples, subsetted to 350k samples. Annotated with natural language descriptions obtained in CellWhisperer Study.

## Processed AnnData Objects

This deposit contains processed AnnData objects (single-cell genomics data) that were processed using the `adata_hf_datasets` Python package. The files are in HDF5 (.h5ad) or Zarr format and contain preprocessed gene expression data along with computed embeddings.

### Available Embeddings (.obsm layers)

The AnnData objects contain the following embedding layers: `X_pca`, `X_scvi_fm`, `X_gs10k`, `X_geneformer`, `X_geneformer-v1`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/geo_tiny](https://huggingface.co/datasets/jo-mengr/geo_tiny)- **Raw Data Source**: [Download](https://medical-epigenomics.org/papers/schaefer2024/data/datasets/archs4_geo/full_data.h5ad)

## Package Information

These files were processed using the `adata_hf_datasets` package. For more information about the processing pipeline, please refer to the associated HuggingFace dataset repository.
DOI: 10.5281/zenodo.17853052
title: Role of Trunk Muscle Function in Postural Stabilization During Gymnastics Landings

description: Data set file includes intergrated normalised muscle activity and stabilisation indexes obtained using methods described in the README.
DOI: 10.5281/zenodo.17853806
title: Role of Trunk Muscle Function in Postural Stabilization During Gymnastics Landings

description: Data set file includes intergrated normalised muscle activity and stabilisation indexes obtained using methods described in the README.
DOI: 10.5517/ccdc.csd.cc2qc8ds
title: CCDC 2513275: Experimental Crystal Structure Determination

description: Related Article: Sun Qiyao|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.3745963
title: PAN16 Author Profiling

description: We provide a training data set that consists of Twitter tweets in English, Spanish and Dutch.


The English and Spanish datasets are labeled with age and gender, whereas the Dutch one only with gender. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.


Remark. Due to Twitter's privacy policy we cannot provide tweets directly, but only URLs referring to them. You will have to download them yourself. For your convenience, we provide a download software for this. We expect participants to extract gender and age information only from the textual part of a tweet and to discard any other meta information that may be provided by Twitter's API. When we evaluate your software at our site, we do not expect it downloads tweets. We will do this beforehand.


More information about the task: Link
DOI: 10.5517/ccdc.csd.cc2qc96m
title: CCDC 2513300: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Michael Gediga, Dietrich Gudat|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.3745962
title: PAN16 Author Profiling

description: We provide a training data set that consists of Twitter tweets in English, Spanish and Dutch.


The English and Spanish datasets are labeled with age and gender, whereas the Dutch one only with gender. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.


Remark. Due to Twitter's privacy policy we cannot provide tweets directly, but only URLs referring to them. You will have to download them yourself. For your convenience, we provide a download software for this. We expect participants to extract gender and age information only from the textual part of a tweet and to discard any other meta information that may be provided by Twitter's API. When we evaluate your software at our site, we do not expect it downloads tweets. We will do this beforehand.


More information about the task: Link
DOI: 10.5517/ccdc.csd.cc2qc9t7
title: CCDC 2513319: Experimental Crystal Structure Determination

description: Related Article: Sanjai R yogaraj, Keerthika Selvam, Ramesh rasappan|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qcd2l
title: CCDC 2513389: Experimental Crystal Structure Determination

description: Related Article: Ngoné Diouf, Ousmane DIOUF, James B. Orton, Ibrahima Elhadji THIAM*|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mbyfc
title: CCDC 2423593: Experimental Crystal Structure Determination

description: Related Article: Mariama Thiam, James B. Orton, Ibrahima Elhadji Thiam|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.s6f2x7
title: Occurrence Download

description: A dataset containing 641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((91.26598 12.91532,167.65397 12.91532,167.65397 43.45667,91.26598 43.45667,91.26598 12.91532))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bletilla striata"
 ]
}

 The dataset includes 641 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037024-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3692340
title: PAN19 Author Profiling:  Bots and Gender Profiling

description: Social media bots pose as humans to influence users with commercial, political or ideological purposes. For example, bots could artificially inflate the popularity of a product by promoting it and/or writing positive ratings, as well as undermine the reputation of competitive products through negative valuations. The threat is even greater when the purpose is political or ideological (see Brexit referendum or US Presidential elections). Fearing the effect of this influence, the German political parties have rejected the use of bots in their electoral campaign for the general elections. Furthermore, bots are commonly related to fake news spreading. Therefore, to approach the identification of bots from an author profiling perspective is of high importance from the point of view of marketing, forensics and security.


After having addressed several aspects of author profiling in social media from 2013 to 2018 (age and gender, also together with personality, gender and language variety, and gender from a multimodality perspective), this year we aim at investigating whether the author of a Twitter feed is a bot or a human. Furthermore, in case of human, to profile the gender of the author.


The uncompressed dataset consists in a folder per language (en, es). Each folder contains:



	
A XML file per author (Twitter user) with 100 tweets. The name of the XML file correspond to the unique author id.
	
A truth.txt file with the list of authors and the ground truth.
DOI: 10.5281/zenodo.3530207
title: PAN19 Author Profiling:  Bots and Gender Profiling

description: Social media bots pose as humans to influence users with commercial, political or ideological purposes. For example, bots could artificially inflate the popularity of a product by promoting it and/or writing positive ratings, as well as undermine the reputation of competitive products through negative valuations. The threat is even greater when the purpose is political or ideological (see Brexit referendum or US Presidential elections). Fearing the effect of this influence, the German political parties have rejected the use of bots in their electoral campaign for the general elections. Furthermore, bots are commonly related to fake news spreading. Therefore, to approach the identification of bots from an author profiling perspective is of high importance from the point of view of marketing, forensics and security.


After having addressed several aspects of author profiling in social media from 2013 to 2018 (age and gender, also together with personality, gender and language variety, and gender from a multimodality perspective), this year we aim at investigating whether the author of a Twitter feed is a bot or a human. Furthermore, in case of human, to profile the gender of the author.


The uncompressed dataset consists in a folder per language (en, es). Each folder contains:



	
A XML file per author (Twitter user) with 100 tweets. The name of the XML file correspond to the unique author id.
	
A truth.txt file with the list of authors and the ground truth.
DOI: 10.15468/dl.edggqn
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "Year is one of (2024, 2025)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.5 43.5, 12.5 43.5, 12.5 50.5, 3.5 50.5, 3.5 43.5))"
 ]
}

 The dataset includes 30743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037025-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wncgqk
title: Occurrence Download

description: A dataset containing 2701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acinonyx jubatus, Aeretes melanopterus, Aeromys tephromelas, Aethalops alecto, Ailuropoda melanoleuca, Ailurus fulgens, Alexandromys fortis, Alexandromys limnophilus, Alticola stoliczkanus, Anathana ellioti, Anourosorex assamensis, Anourosorex schmidi, Anourosorex squamipes, Antilope cervicapra, Apodemus agrarius, Apodemus chevrieri, Apodemus draco, Apodemus gurkha, Apodemus latronum, Apodemus pallipes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 2701 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037026-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17723240
title: cxg_pseudo_bulk_tiny

description: CellxGene pseudo bulk dataset with 350k samples. Annotated with natural language descriptions obtained in CellWhisperer Study.

## Processed AnnData Objects

This deposit contains processed AnnData objects (single-cell genomics data) that were processed using the `adata_hf_datasets` Python package. The files are in HDF5 (.h5ad) or Zarr format and contain preprocessed gene expression data along with computed embeddings.

### Available Embeddings (.obsm layers)

The AnnData objects contain the following embedding layers: `X_pca`, `X_scvi_fm`, `X_geneformer`, `X_gs10k`, `X_geneformer-v1`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/cxg_pseudo_bulk_tiny_multiplets_natural_language_annotation](https://huggingface.co/datasets/jo-mengr/cxg_pseudo_bulk_tiny_multiplets_natural_language_annotation)- **Raw Data Source**: [Download](https://medical-epigenomics.org/papers/schaefer2024/data/datasets/cellxgene_census/full_data.h5ad)

## Package Information

These files were processed using the `adata_hf_datasets` package. For more information about the processing pipeline, please refer to the associated HuggingFace dataset repository.
DOI: 10.5281/zenodo.17723241
title: cxg_pseudo_bulk_tiny

description: CellxGene pseudo bulk dataset with 350k samples. Annotated with natural language descriptions obtained in CellWhisperer Study.

## Processed AnnData Objects

This deposit contains processed AnnData objects (single-cell genomics data) that were processed using the `adata_hf_datasets` Python package. The files are in HDF5 (.h5ad) or Zarr format and contain preprocessed gene expression data along with computed embeddings.

### Available Embeddings (.obsm layers)

The AnnData objects contain the following embedding layers: `X_pca`, `X_scvi_fm`, `X_geneformer`, `X_gs10k`, `X_geneformer-v1`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/cxg_pseudo_bulk_tiny_multiplets_natural_language_annotation](https://huggingface.co/datasets/jo-mengr/cxg_pseudo_bulk_tiny_multiplets_natural_language_annotation)- **Raw Data Source**: [Download](https://medical-epigenomics.org/papers/schaefer2024/data/datasets/cellxgene_census/full_data.h5ad)

## Package Information

These files were processed using the `adata_hf_datasets` package. For more information about the processing pipeline, please refer to the associated HuggingFace dataset repository.
DOI: 10.5281/zenodo.3715863
title: PAN13 Author Profiling

description: We provide you with a training data set that consists of documents written in both English and Spanish. With regard to age, we will consider posts of three classes: 10s (13-17), 20s (23-27), and 30s (33-47). Moreover, documents from authors who pretend to be minors will be included (e.g., documents composed of chat lines of sexual predators will be also considered). Learn more »
DOI: 10.5281/zenodo.3715864
title: PAN13 Author Profiling

description: We provide you with a training data set that consists of documents written in both English and Spanish. With regard to age, we will consider posts of three classes: 10s (13-17), 20s (23-27), and 30s (33-47). Moreover, documents from authors who pretend to be minors will be included (e.g., documents composed of chat lines of sexual predators will be also considered). Learn more »
DOI: 10.15468/dl.2dxhnj
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nereiphylla pusilla",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037027-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.