cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17648112
title: Simulation Dataset for Deep-Learning Mitigation of Foregrounds and Beam Effects in 21-cm Intensity Mapping

description: This dataset contains simulated 21cm brightness temperature cubes for testing foreground removal, beam modelling, and 21cm signal reconstruction, employing the CRIME code. Four versions of the data are provided: pure HI, HI with astrophysical foregrounds, and HI+foregrounds convolved with either Gaussian or cosine-shaped primary beams.

The included foreground components follow standard radio-astronomy sky models and contain: Galactic synchrotron radiation, Galactic and extragalactic free–free emissions, and extragalactic point sources. 

Each cube has shape (192, 64, 64, 64), corresponding to 192 slices along the line of sight, a spatial resolution of 64×64 pixels, and 64 frequency channels, we consider a frequency range spanning from 1100 to 1164 MHz, which corresponds to a redshift range between 0.29 and 0.22. The dataset is intended for testing 21cm reconstruction methods, machine learning models, and chromatic beam analyses.

If you use this dataset, please cite both the dataset DOI and the related research works listed below:

– Deep-learning mitigation of foregrounds and beam effects in 21-cm intensity mapping using hybrid frequency differencing and PCA, arXiv: https://arxiv.org/abs/2511.15072– 21-cm foreground removal using AI and frequency-difference technique, arXiv: https://arxiv.org/abs/2310.06518
DOI: 10.5281/zenodo.17648111
title: Simulation Dataset for Deep-Learning Mitigation of Foregrounds and Beam Effects in 21-cm Intensity Mapping

description: This dataset contains simulated 21cm brightness temperature cubes for testing foreground removal, beam modelling, and 21cm signal reconstruction, employing the CRIME code. Four versions of the data are provided: pure HI, HI with astrophysical foregrounds, and HI+foregrounds convolved with either Gaussian or cosine-shaped primary beams.

The included foreground components follow standard radio-astronomy sky models and contain: Galactic synchrotron radiation, Galactic and extragalactic free–free emissions, and extragalactic point sources. 

Each cube has shape (192, 64, 64, 64), corresponding to 192 slices along the line of sight, a spatial resolution of 64×64 pixels, and 64 frequency channels, we consider a frequency range spanning from 1100 to 1164 MHz, which corresponds to a redshift range between 0.29 and 0.22. The dataset is intended for testing 21cm reconstruction methods, machine learning models, and chromatic beam analyses.

If you use this dataset, please cite both the dataset DOI and the related research works listed below:

– Deep-learning mitigation of foregrounds and beam effects in 21-cm intensity mapping using hybrid frequency differencing and PCA, arXiv: https://arxiv.org/abs/2511.15072– 21-cm foreground removal using AI and frequency-difference technique, arXiv: https://arxiv.org/abs/2310.06518
DOI: 10.5281/zenodo.17657911
title: Dataset related to Initial Submission - Accurately modeling long-term storage with minimum representative hours in large-scale renewable energy systems

description: Dataset related to research article:

Accurately modeling long-term storage with minimum representative hours in large-scale renewable energy systems

by Jacob Mannhardt, Lukas Kunz, Giovanni Sansavini (sansavig@ethz.ch)

All rights lie with the authors. All input data, source code, and result files needed to reproduce results and study. Refer to README.txt for further information on content.
DOI: 10.5281/zenodo.17657910
title: Dataset related to Initial Submission - Accurately modeling long-term storage with minimum representative hours in large-scale renewable energy systems

description: Dataset related to research article:

Accurately modeling long-term storage with minimum representative hours in large-scale renewable energy systems

by Jacob Mannhardt, Lukas Kunz, Giovanni Sansavini (sansavig@ethz.ch)

All rights lie with the authors. All input data, source code, and result files needed to reproduce results and study. Refer to README.txt for further information on content.
DOI: 10.15468/dl.c4aakf
title: Occurrence Download

description: A dataset containing 2954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.11768725241747",
 "DecimalLongitude is less than 7.12074680560187",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2954 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046953-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfdpjd
title: Occurrence Download

description: A dataset containing 26819498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (605e7170-1123-11d9-8433-b8a03c50a862, 64ee55c9-570a-42af-b7da-3f13c6b4e5a9)"
 ]
}

 The dataset includes 26819498 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046947-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fvrxc
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Otatea acuminata"
 ]
}

 The dataset includes 475 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046954-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f6b6g
title: Occurrence Download

description: A dataset containing 197327 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psittacula eupatria"
 ]
}

 The dataset includes 197327 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046928-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcg3gv
title: Occurrence Download

description: A dataset containing 2347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.12074680560187",
 "DecimalLongitude is less than 7.12380635878626",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2347 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046955-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17658001
title: Data underlying the research on Household Food Insecurity Among Refugees: Examining Variations Across Different Geographic and Climatic Contexts in Ugandan Refugee Settlements

description: This dataset underlies a study which is still under peer review, whose aim was to assess the food insecurity status of households in three refugee settlements situated in different geographic regions of Uganda within distinct climatic zones, to generate evidence that informs interventions that address food insecurity in vulnerable humanitarian settings. The study employed a cross-sectional design, using a structured questionnaire to collect quantitative data.
DOI: 10.5281/zenodo.17658002
title: Data underlying the research on Household Food Insecurity Among Refugees: Examining Variations Across Different Geographic and Climatic Contexts in Ugandan Refugee Settlements

description: This dataset underlies a study which is still under peer review, whose aim was to assess the food insecurity status of households in three refugee settlements situated in different geographic regions of Uganda within distinct climatic zones, to generate evidence that informs interventions that address food insecurity in vulnerable humanitarian settings. The study employed a cross-sectional design, using a structured questionnaire to collect quantitative data.
DOI: 10.57745/ow19vx
title: train_size_strain.npz

description: Training data set with crystallite size and microstrain
DOI: 10.57745/uj5gnh
title: test_size.npz

description: Testing dataset with only crystallite size
DOI: 10.57745/8idylc
title: train_size.npz

description: Training dataset with only crystallite size
DOI: 10.57745/yezgt2
title: test_size_strain.npz

description: Testing data set with crystallite size and microstrain
DOI: 10.57745/svqart
title: Training and testing XRD dataset for crystallite size and microstrain determination using deep neural networks

description: Numpy tensors to train and test a convolutional neural network dedicated to determine crystallite size and/or microstrain from X-ray diffraction data (XRD): train_size.npz: training dataset with only crystallite size test_size.npz: testing dataset with only crystallite size train_size_strain.npz: training dataset with crystallite size and microstrain test_size_strain.npz: testing dataset with crystallite size and microstrain Each dataset contains the XRD data and the labels ("ground truth") in the form of 2D tensors with 10501 data points (columns) for the XRD data, and 24 labels (columns) for the labels. Training data contain 71971 rows ; testing data contain 7997 rows. Example python script to read the data: import numpy as np train = np.load("train_size.npz") train_data, train_label = train["train_data"], train["train_label"] print(f"Train data shape: {train_data.shape}, Train labels shape: {train_label.shape}") Jupyter notebooks to train and test a neural network can be found here: https://github.com/aboulle/LPA-NN
DOI: 10.57745/z515gi
title: Readme.md

description: :unav
DOI: 10.5281/zenodo.17624643
title: The Logical Truth Formula in Religious Studies: Truth = B(t = now)

description: Two original formulas: Truth = B(t = now) and ∀t: B(t) = S(eternal). Only Islam passes. Discovery: November 16, 2025.
DOI: 10.5281/zenodo.17624642
title: The Logical Truth Formula in Religious Studies: Truth = B(t = now)

description: Two original formulas: Truth = B(t = now) and ∀t: B(t) = S(eternal). Only Islam passes. Discovery: November 16, 2025.
DOI: 10.17605/osf.io/64jsb
title: ASOS Digital Experiments Dataset

description: A novel dataset that can support the end-to-end design and running of Online Controlled Experiments (OCE) with adaptive stopping.
DOI: 10.6084/m9.figshare.29424770
title: A degron-mimicking molecular glue drives CRBN homo-dimerization and degradation

description: Raw data for the HiBiT, Nanobret, FIDA experiments performed for the manuscript.
WB quantification from Supplementary file was provided.
DOI: 10.6084/m9.figshare.29424770.v1
title: A degron-mimicking molecular glue drives CRBN homo-dimerization and degradation

description: Raw data for the HiBiT, Nanobret, FIDA experiments performed for the manuscript.
WB quantification from Supplementary file was provided.
DOI: 10.6084/m9.figshare.30280903
title: Sensitive mechanical compression-patterned phosphorescence in the rubbery state of cross-linked polymer network

description: The molecular motion of polymer chains inevitably quenches phosphorescence at temperatures higher than the glass transition temperature (Tg). Therefore, modulating phosphorescence at relatively high temperatures presents a significant challenge. Herein, we report a dye-doped, cross-linked epoxy resin with ultra-sensitive mechanical compression-patterned phosphorescence. The temperature range over which phosphorescence occurs can be modulated by the Tg values of the epoxy resins.
DOI: 10.6084/m9.figshare.30280903.v1
title: Sensitive mechanical compression-patterned phosphorescence in the rubbery state of cross-linked polymer network

description: The molecular motion of polymer chains inevitably quenches phosphorescence at temperatures higher than the glass transition temperature (Tg). Therefore, modulating phosphorescence at relatively high temperatures presents a significant challenge. Herein, we report a dye-doped, cross-linked epoxy resin with ultra-sensitive mechanical compression-patterned phosphorescence. The temperature range over which phosphorescence occurs can be modulated by the Tg values of the epoxy resins.
DOI: 10.6084/m9.figshare.29857589
title: Locating the Missing Absorption Enhancement Due to Multi-Core Black Carbon Aerosols

description: Supplementary Data for:

Locating the Missing Absorption Enhancement Due to Multi-Core Black Carbon Aerosols
DOI: 10.6084/m9.figshare.29857589.v1
title: Locating the Missing Absorption Enhancement Due to Multi-Core Black Carbon Aerosols

description: Supplementary Data for:

Locating the Missing Absorption Enhancement Due to Multi-Core Black Carbon Aerosols
DOI: 10.6084/m9.figshare.29307188
title: Hole migration enables efficient and ultra-bright green quantum dot LEDs

description: We demonstrate that the weak hole confinement, induced inter-dot hole diffusion in QDs with large CdZnSe cores and thin ZnS shells, allows more efficient exciton formation. We achieve a record external quantum efficiency of 30.7%, a maximum luminance exceeding 1.9 million cd m-2 in green QD-LEDs with a T95 operational lifetime of 21,900 hours at 1000 cd m-².
DOI: 10.6084/m9.figshare.29307188.v1
title: Hole migration enables efficient and ultra-bright green quantum dot LEDs

description: We demonstrate that the weak hole confinement, induced inter-dot hole diffusion in QDs with large CdZnSe cores and thin ZnS shells, allows more efficient exciton formation. We achieve a record external quantum efficiency of 30.7%, a maximum luminance exceeding 1.9 million cd m-2 in green QD-LEDs with a T95 operational lifetime of 21,900 hours at 1000 cd m-².
DOI: 10.5281/zenodo.17658056
title: ARE-Konsultationsinzidenz

description: Im Datensatz "ARE-Konsultationsinzidenz" des Robert Koch-Instituts werden wöchentliche Inzidenzen von ambulanten Konsultationen mit akuter respiratorischer Erkrankung (ARE) in Deutschland bereitgestellt. Die Daten stammen vom ARE-Praxis-Sentinel des RKI. Hier werden aus Sentinelpraxen Daten von gesetzlich versicherten Patientinnen und Patienten mit einer akuten Atemwegserkrankung entweder einzelfallbasiert anhand von ICD-10-Diagnosecodes mit dem SEED/ARE-Modul oder aggregiert nach Altersgruppen über eine Online-Eingabemaske erfasst. Die ARE-Konsultationsinzidenz wird pro 100.000 Einwohner und nach Altersgruppen und Bundesländern ausgewiesen. Ziel ist es, die Krankheitslast und den saisonalen Verlauf von Atemwegserkrankungen wie Influenza, COVID-19 und RSV-Erkrankungen zu bewerten sowie epidemiologische Entwicklungen frühzeitig zu erkennen
DOI: 10.6084/m9.figshare.28136294
title: PhysioCGM: a multimodal physiological dataset for non-invasive blood glucose estimation

description: All data records in the dataset are included in this submission and are accessible via FigShare. Table 3 in the manuscript provides a detailed overview of these records. The dataset is organized into two cohort folders, each containing data from five participants. Each subject is identified by a de-identified code, e.g. c1s01 represents the first subject from cohort 1. Within each subject’s folder, there are three subfolders: zephyr, e4, and CGM, each storing the data from respective sensors. The zephyr folder contains session folders of recordings, with each session folder including seven CSV files that capture various data types, including ECG, acceleration, and breathing waveforms. The e4 folder stores data from the Empatica E4 watch, including PPG, EDA and accelerometry. Lastly, the CGM folder contains a file that stores glucose values. Each data record includes a timestamp field, which allows time alignment of signals from different sensors. To streamline data access and training, we preprocess the raw data records from all sensors and align them 102 based on their corresponding timestamps. They are then split at the CGM level and packed into pkl binary 103 files for ease of use. The processed data is organized by subjects. Within each subject’s folder, there are 104 multiple subfolders corresponding to different days, each of which contain multiple pkl files. Each pkl file 105 contains 5-minute signal clips and metadata that are synchronized with CGM timestamps.
DOI: 10.6084/m9.figshare.28136294.v1
title: PhysioCGM: a multimodal physiological dataset for non-invasive blood glucose estimation

description: All data records in the dataset are included in this submission and are accessible via FigShare. Table 3 in the manuscript provides a detailed overview of these records. The dataset is organized into two cohort folders, each containing data from five participants. Each subject is identified by a de-identified code, e.g. c1s01 represents the first subject from cohort 1. Within each subject’s folder, there are three subfolders: zephyr, e4, and CGM, each storing the data from respective sensors. The zephyr folder contains session folders of recordings, with each session folder including seven CSV files that capture various data types, including ECG, acceleration, and breathing waveforms. The e4 folder stores data from the Empatica E4 watch, including PPG, EDA and accelerometry. Lastly, the CGM folder contains a file that stores glucose values. Each data record includes a timestamp field, which allows time alignment of signals from different sensors. To streamline data access and training, we preprocess the raw data records from all sensors and align them 102 based on their corresponding timestamps. They are then split at the CGM level and packed into pkl binary 103 files for ease of use. The processed data is organized by subjects. Within each subject’s folder, there are 104 multiple subfolders corresponding to different days, each of which contain multiple pkl files. Each pkl file 105 contains 5-minute signal clips and metadata that are synchronized with CGM timestamps.
DOI: 10.15468/dl.aauths
title: Occurrence Download

description: A dataset containing 3321284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phasianus colchicus"
 ]
}

 The dataset includes 3321284 records from 3941 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046935-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqkc32
title: Occurrence Download

description: A dataset containing 23264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 23264 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012614-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58132/fxkkhi
title: Effects of climate and anthropogenic pressures on chemical warfare agent transfer in the Baltic Sea food web

description: Ecopath w Ecosim raw data from the modelling of CWA bioaccumulation transfer within the Baltic Sea food web. Full dataset will be shared upon email request: mj.czub@uw.edu.plPlease consult the Readme.txt and Modelling_excercise.pdf files for additional information.
DOI: 10.15468/dl.fs94kq
title: Occurrence Download

description: A dataset containing 24055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trapa L.",
 "Year 1500-2025"
 ]
}

 The dataset includes 24055 records from 344 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000913-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37stk4
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Swertia mussotii Franch."
 ]
}

 The dataset includes 129 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006917-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/41250001-fra
title: Enquête auprès des peuples autochtones : fichier de microdonnées à grande diffusion

description: L'Enquête auprès des peuples autochtones (EAPA) est une enquête nationale sur les conditions sociales et économiques de la population des Premières Nations vivant hors réserve, des Métis et des Inuit, âgés de 1 an et plus, au Canada. Ce fichier de microdonnées à grande diffusion permet aux utilisateurs d’accéder aux microdonnées d'enquête nationales et de les manipuler.
DOI: 10.3886/icpsr39116
title: Development of Microscopical Methods for the Systematic Analysis of Chemically Reacted, Improvised Low Explosives and Related Residues, Chicago, Illinois, 2020-2023
title: Archival Version

description: This 2020 study was funded by the National Institute of Justice to advance knowledge about the microscopical methods used to examine materials commonly found in commercial and improvised low explosives. To achieve this, researchers developed reference documentation and an "Atlas of Unburned, Partially Burned, and Fully Burned Low Explosive and Related Materials" for the characterization, comparison, and identification of such materials. This data collection includes 57 files with images and descriptive captions documenting methods of microscopical analysis for a variety of chemically reacted, improvised low explosives and related residues. Details on the optical and physical properties, information regarding chemical solubility,
recrystallization, microcrystal and microchemical spot tests, melting points, potential decomposition products, references, and photomicrographs of these materials are included as a PDF table. Additional information on this research can be found on the McCrone Research Institute website.
description: The purpose of this project was to improve the direct visual comparison, microscopical identification, and chemical analysis of chemically reacted (i.e., unburned, partially burned, and fully burned) materials and resulting residues. The documentation produced by this research was intended to advance methodological knowledge and support practical training in low explosive microscopical analysis.
description: Common low explosive materials were prepared and photographed under varying microscopical conditions including plane polarized light, plane polarized light with top light, partially uncrossed polars (12 degrees),
partially uncrossed polars (12 degrees) with top light, crossed polars, and crossed polars with a 11 Red I (530 nm) compensator and top light. The resulting photomicrographic images were arranged into an atlas for side-by-side comparison and reference by microscopists.
description: Datasets: 
DS1: Development of Microscopical Methods for the Systematic Analysis of Chemically Reacted, Improvised Low Explosives and Related Residues, Chicago, Illinois, 2020-2023