cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17202701
title: Power Spectral Characteristic of Martian Ionospheric Irregularities.

description: The processed data relevant to the manuscript “Power Spectral Characteristics of MartianIonospheric Irregularities”. This repository consists of the Martian ionospheric ambient parametersaveraged for a 3-minute iterative window with a 2-minute overlap obtained from MAVEN’sionospheric passes below 400 km. Each ionospheric pass provides about 16-17 ambient ionosphericvalues, distinct in latitude, longitude, altitude, and local time. The dataset consists of spectral slope values and corresponding error along withthe maximum and minimum scale sizes of irregularities for the 3-minute window. This processed data is based on theelectron density measurements by Langmuir Probe and Wave (LPW), magnetic field observationsby fluxgate magnetometer (MAG), and derived key parameters from the MAVEN spacecraft for theperiod of 2014-2023.

The original raw high-resolution data is available at https://pds-ppi.igpp.ucla.edu.

The detailed description of the dataset parameters is given in the 'Description.pdf' file.
DOI: 10.5281/zenodo.17853565
title: Power Spectral Characteristic of Martian Ionospheric Irregularities.

description: The processed data relevant to the manuscript “Power Spectral Characteristics of MartianIonospheric Irregularities”. This repository consists of the Martian ionospheric ambient parametersaveraged for a 3-minute iterative window with a 2-minute overlap obtained from MAVEN’sionospheric passes below 400 km. Each ionospheric pass provides about 16-17 ambient ionosphericvalues, distinct in latitude, longitude, altitude, and local time. The dataset consists of spectral slope values and corresponding error along withthe maximum and minimum scale sizes of irregularities for the 3-minute window. This processed data is based on theelectron density measurements by Langmuir Probe and Wave (LPW), magnetic field observationsby fluxgate magnetometer (MAG), and derived key parameters from the MAVEN spacecraft for theperiod of 2014-2023.

The original raw high-resolution data is available at https://pds-ppi.igpp.ucla.edu.

The detailed description of the dataset parameters is given in the 'Description.pdf' file.
DOI: 10.15468/dl.w2gx67
title: Occurrence Download

description: A dataset containing 5384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Limosa lapponica, Limosa lapponica taymyrensis, Limosa lapponica lapponica, Limosa lapponica menzbieri, Limosa lapponica anadyrensis, Limosa lapponica baueri)"
 ]
}

 The dataset includes 5384 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037028-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3716007
title: PAN14 Author Profiling

description: We provide you with a training data set that consists of blog posts, Twitter tweets and social media texts written in both English and Spanish as well as hotel reviews written in English. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.
DOI: 10.5281/zenodo.3716008
title: PAN14 Author Profiling

description: We provide you with a training data set that consists of blog posts, Twitter tweets and social media texts written in both English and Spanish as well as hotel reviews written in English. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.
DOI: 10.5281/zenodo.17723223
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.17723222
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.3746006
title: PAN18 Author Profiling

description: We provide you with a training data set that consists of Twitter users labeled with gender. For each author, a total of 100 tweets and 10 images are provided. Authors are grouped by the language of their tweets: English, Arabic and Spanish.


More information about the task: Link
DOI: 10.5281/zenodo.3746005
title: PAN18 Author Profiling

description: We provide you with a training data set that consists of Twitter users labeled with gender. For each author, a total of 100 tweets and 10 images are provided. Authors are grouped by the language of their tweets: English, Arabic and Spanish.


More information about the task: Link
DOI: 10.5281/zenodo.17714710
title: Supplementary Data: Validation Report MeteoSwiss Meteosat Radiation Data

description: Validation Report MeteoSwiss Meteosat Radiation Data

Overview

This dataset contains comprehensive validation results for the MeteoSwiss Geosatclim satellite-derived radiation dataset compared against SwissMetNet ground-based observations. The validation was conducted as part of Switzerland's Open Government Data (OGD) initiative to establish the scientific quality of satellite radiation products before their public release.

This dataset serves as supplementary data for the validation report titled "Validation Report MeteoSwiss Meteosat Radiation Data" by Varun Sharma, Anke Tetzlaff, and Christian Grams.

A detailed description of the dataset can be found in the included file - "README.md"
DOI: 10.5281/zenodo.17714711
title: Supplementary Data: Validation Report MeteoSwiss Meteosat Radiation Data

description: Validation Report MeteoSwiss Meteosat Radiation Data

Overview

This dataset contains comprehensive validation results for the MeteoSwiss Geosatclim satellite-derived radiation dataset compared against SwissMetNet ground-based observations. The validation was conducted as part of Switzerland's Open Government Data (OGD) initiative to establish the scientific quality of satellite radiation products before their public release.

This dataset serves as supplementary data for the validation report titled "Validation Report MeteoSwiss Meteosat Radiation Data" by Varun Sharma, Anke Tetzlaff, and Christian Grams.

A detailed description of the dataset can be found in the included file - "README.md"
DOI: 10.17026/ar/9llauj
title: Ter Aaseweg, BKL150 – 150KV Hoogspanningsstation Breukelen te Breukelen, gemeente Stichtse Vecht (A-1003785)
title: Een bureauonderzoek

description: In het plangebied kunnen archeologische resten worden verwacht vanaf de Vroege IJzertijd. De verwachting is gebaseerd op de aanwezigheid van de Oud-Aa stroomgordel in de bodem van het plangebied. Op crevasses van deze stroomgordel is handgevormd aardewerk aangetroffen dat dateert uit de Vroege IJzertijd. De verwachting voor archeologische resten neemt toe voor de periode Middeleeuwen en de Nieuwe tijd. De stroomgordel is in die periode verland en vormt een inversierug in het landschap. Ook geven de ARCHIS meldingen aan dat er in deze perioden veel activiteit is geweest rondom het plangebied. Het uiterst noorden heeft een hoge verwachting voor de Late Middeleeuwen en de Nieuwe tijd vanwege de ligging ter plaatse van een boerderijlint.

Om de kans op de aanwezigheid van archeologische resten te bepalen is vooral het verwerven van inzicht in de bodemopbouw en de mate van intactheid daarvan van belang. Geadviseerd wordt daarom een inventariserend veldonderzoek in de vorm van een verkennend booronderzoek uit te voeren in het noordelijk deel van het plangebied, in de zone waarin oever- of geulafzettingen van de Oud-Aa stroomgordel aanwezig zijn. Dit gebied beslaat circa 2 hectare. In het resterend deel van het plangebied wordt geen aanvullend onderzoek geadviseerd.

ADC ArcheoProjecten adviseert om bij verstoringen dieper dan 30 cm -mv in het noordelijk deel van het plangebied, in de zone waar oever- of geulafzettingen van de Oud-Aa stroomgordel voorkomen, een inventariserend veldonderzoek uit te voeren door middel van een verkennend booronderzoek. Dit gebied beslaat circa 2 hectare. Het doel van dit onderzoek is de bodemopbouw en de aard, omvang en diepte van eventuele verstoringen in kaart te brengen. Aan de hand van de gegevens van het veldonderzoek kan de gespecificeerde verwachting worden aangevuld. De werkzaamheden dienen voorafgaand aan het veldwerk te worden vastgelegd in een Plan van Aanpak (PvA).

In het resterend deel van het plangebied wordt geen aanvullend onderzoek geadviseerd. Het is altijd mogelijk dat hier 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 Stichtse Vecht.
DOI: 10.5281/zenodo.3745979
title: PAN17 Author Profiling

description: We provide you with a training data set that consists of Twitter tweets in English, Spanish, Portuguese and Arabic, labeled with gender and language variety.


More information about the task: Link
DOI: 10.5281/zenodo.3745980
title: PAN17 Author Profiling

description: We provide you with a training data set that consists of Twitter tweets in English, Spanish, Portuguese and Arabic, labeled with gender and language variety.


More information about the task: Link
DOI: 10.5281/zenodo.17721878
title: tabula_sapiens_schafer

description: Tabula Sapiens dataset as used in schafer et al.

## 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`, `X_cw-geneformer`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/tabula_sapiens_schafer_single_no_caption](https://huggingface.co/datasets/jo-mengr/tabula_sapiens_schafer_single_no_caption)- **Raw Data Source**: [Download](https://medical-epigenomics.org/papers/schaefer2024/data/datasets/tabula_sapiens/cellxgene.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.17721879
title: tabula_sapiens_schafer

description: Tabula Sapiens dataset as used in schafer et al.

## 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`, `X_cw-geneformer`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/tabula_sapiens_schafer_single_no_caption](https://huggingface.co/datasets/jo-mengr/tabula_sapiens_schafer_single_no_caption)- **Raw Data Source**: [Download](https://medical-epigenomics.org/papers/schaefer2024/data/datasets/tabula_sapiens/cellxgene.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.17718183
title: geo_schaefer_half_val

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`, `X_cw-geneformer`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/geo_full_v2_multiplets_natural_language_annotation](https://huggingface.co/datasets/jo-mengr/geo_full_v2_multiplets_natural_language_annotation)- **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.17718184
title: geo_schaefer_half_val

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`, `X_cw-geneformer`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/geo_full_v2_multiplets_natural_language_annotation](https://huggingface.co/datasets/jo-mengr/geo_full_v2_multiplets_natural_language_annotation)- **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.17717317
title: geo_small

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_small_multiplets_natural_language_annotation](https://huggingface.co/datasets/jo-mengr/geo_small_multiplets_natural_language_annotation)- **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.17717316
title: geo_small

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_small_multiplets_natural_language_annotation](https://huggingface.co/datasets/jo-mengr/geo_small_multiplets_natural_language_annotation)- **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: 10.15468/dl.ca7zwt
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/0037031-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17717156
title: geo_schaefer_half_train

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`, `X_cw-geneformer`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/geo_full_v2_multiplets_natural_language_annotation](https://huggingface.co/datasets/jo-mengr/geo_full_v2_multiplets_natural_language_annotation)- **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.17717155
title: geo_schaefer_half_train

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`, `X_cw-geneformer`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/geo_full_v2_multiplets_natural_language_annotation](https://huggingface.co/datasets/jo-mengr/geo_full_v2_multiplets_natural_language_annotation)- **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: 10.15468/dl.27fqc6
title: Occurrence Download

description: A dataset containing 786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nereiphylla rubiginosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 786 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037032-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17715904
title: human_disease_schaefer

description: Human disease dataset annoted in Schaefer et al. 2024

## 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`, `X_cw-geneformer`.

## Related Resources

- **HuggingFace Dataset**: [jo-mengr/human_disease_schaefer_single_no_caption](https://huggingface.co/datasets/jo-mengr/human_disease_schaefer_single_no_caption)- **Raw Data Source**: [Download](https://medical-epigenomics.org/papers/schaefer2024/data/datasets/human_disease/rnaseq._.samples.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.