cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/7bd6-xs14
title: IEEE 802.11AX CSI Dataset for Human Activity Recognition

description: The dataset includes channel frequency response (CFR) data collected through an IEEE 802.11ax device for human activity recognition. This is the first dataset for Wi-Fi sensing with the IEEE 802.11ax standard which is the most updated Wi-Fi version available in commercial devices. The dataset has been collected within a single environment considering a single person as the purpose of the study was to evaluate the impact of communication parameters on the performance of sensing algorithms. Three activities have been considered -- walking and running around the room, and staying in place -- and the data in the empty space scenario has also been recorded and made available as part of the dataset. The evaluation has been performed by using the state-of-the-art SHARP algorithm and is presented in the article "Toward Integrated Sensing and Communications in IEEE 802.11bf Wi-Fi Networks" accepted for publication in IEEE Communications Magazine. The CFR data has been collected over an 80 MHz bandwidth channel on the 5 GHz band. For each available OFDMA sub-channel, the complex-valued channel data is recorded. Overall CFR data is available for the 996 OFDMA data sub-channels out of the 1024 sub-channels available (the remaining ones are control sub-channels where the channel reading is not available.If you find the project useful and you use this dataset, please cite our article:@article{meneghello2023toward,    author = {Meneghello, Francesca and Chen, Cheng and Cordeiro, Carlos and Restuccia, Francesco},      journal={IEEE Communications Magazine},     title = {{Toward Integrated Sensing and Communications in IEEE 802.11bf Wi-Fi Networks}},    year = {2023},    volume={},    number={},    pages={}    }
DOI: 10.25318/1110000901-eng
title:  Selected income characteristics of census families by family type

description: Families of tax filers; Selected income characteristics of census families by family type (final T1 Family File; T1FF).
DOI: 10.3886/e112479v1
title: Replication data for: The Slave Trade and the Origins of Mistrust in Africa

description: We show that current differences in trust levels within Africa can be traced back to the transatlantic and Indian Ocean slave trades. Combining contemporary individual-level survey data with historical data on slave shipments by ethnic group, we find that individuals whose ancestors were heavily raided during the slave trade are less trusting today. Evidence from a variety of identification strategies suggests that the relationship is causal. Examining causal mechanisms, we show that most of the impact of the slave trade is through factors that are internal to the individual, such as cultural norms, beliefs, and values. (JEL J15, N57, Z13)
DOI: 10.5066/f7j964w8
title: U.S. Geological Survey National Produced Waters Geochemical Database v2.3 (superseded by ver. 3.0, December 2023)

description: Please note: This product is superseded by the ver. 3.0, December 2023 product provided within the 'Data' tab below.
During hydrocarbon production, water is typically co-produced from the geologic formations producing oil and gas. Understanding the composition of these produced waters is important to help investigate the regional hydrogeology, the source of the water, the efficacy of water treatment and disposal plans, potential economic benefits of mineral commodities in the fluids, and the safety of potential sources of drinking or agricultural water. The U.S. Geological Survey National Produced Waters Geochemical Database v2.3 (superseded by ver. 3.0, December 2023) is an updated compilation of geochemical and related information for water from oil and gas wells in the United States. It includes identification and location information, well descriptions, dates, rock properties, physical properties of the water, inorganic chemistry, organic chemistry, and isotopes. Disclaimer for Provisional Database The data you have secured from the U.S. Geological Survey (USGS) National Produced Waters Geochemical Database v2.3 (superseded by ver. 3.0, December 2023) are provisional and subject to revision. The data are released on the condition that neither the USGS nor the United States Government may be held liable for any damages resulting from their authorized or unauthorized use.
DOI: 10.5067/cgdeobasz178
title: AMSR2/GCOM-W1 surface soil moisture (LPRM) L3 1 day 25 km x 25 km descending V001
DOI: 10.5067/fh9a0mljpc7n
title: MERRA-2 tavgM_2d_aer_Nx: 2d,Monthly mean,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics V5.12.4
DOI: 10.5067/rnf17bp824um
title: MEaSUREs MODIS Mosaic of Antarctica 2013-2014 (MOA2014) Image Map, Version 1
DOI: 10.5258/soton/d3434
title: Dataset supporting the publication "Polarization-maintaining dissipative-soliton mode-locked Thulium fiber laser with a nonlinear-amplifying-loop-mirror cavity operating at 1860 nm"

description: This dataset supports the publication by Panuwat Srisamran et al (2025) "Polarization-maintaining Dissipative-soliton Mode-locked Thulium Fiber Laser with a Nonlinear-amplifying-loop-mirror Cavity Operating at 1860 nm" published in Optics Express.

This dataset contains data for 6 figures as presented in the article.
DOI: 10.5281/zenodo.10582140
title: Integrated Lysimeter Study (Deep Percolation) Data from Saint-Nicéphore, Quebec
title: Includes hourly records of deep percolation, meteorological conditions, and soil states, complemented by laboratory analyses of hydraulic conductivity, density, and soil composition.

description: This dataset results from a study on various landfill final covers constructed at a landfill site in Saint-Nicéphore, Quebec. The study involved three large experimental plots, each containing drainage lysimeters and sensors to measure soil moisture, temperature, and suction. For detailed construction information, please consult the construction report included in this dataset and the references. 

The dataset is intended to facilitate future research on deep percolation in cold regions, providing comprehensive data for the development and validation of hydrological models.

The dataset includes:



Hourly deep percolation rates, measured by four drainage lysimeters within the soil enclosures.

Half-hourly measurements of soil moisture, temperature, and suction at various depths.

Hourly and daily meteorological data for the duration of the study period.

Laboratory-estimated soil parameters, including saturated hydraulic conductivity, dry density, and soil texture.


Important: Please be aware that the timestamps in these datasets may not be evenly spaced. This means that some data points might be missing or irregularly collected. Before performing any time-series analysis or data visualization, you may need to preprocess the data to ensure consistent time intervals.

For further information or inquiries, please contact the creators.
description: This data base was created during a project that received funding from the Natural Sciences and Engineering Research Council of Canada, NSERC (CRD # RDPJ 508222-16) and the Consortium de recherche et innovations en bioprocédés industriels du Québec, CRIBIQ (2017-014-C27). Please cite the following articles if you include these data in any publication:Kahale et al. (2022). Field-based assessment of the design of lysimeters for landfill final cover seepage control. Journal of the Air & Waste Management Association, Vol. 72, No. 12: 1477–1488. (https://doi.org/10.1080/10962247.2022.2126557). Kahale and Cabral (2022). Field and numerical evaluation of breakthrough suction effects in lysimeter design. Environmental Technology (https://doi.org/10.1080/09593330.2022.2139635).
DOI: 10.5281/zenodo.10951609
title: EEAR-Clim: A high density observational dataset of daily precipitation and air temperature for the Extended European Alpine Region

description: Data, metadata and code for paper published in Earth System Science Data:

A high density observational dataset of daily precipitation and air temperature for the Extended Alpine Region

 

Code (working copy all written in R statistical software): scripts.zip



to read and process data in from different sources

to perform intra and inter-stations quality control

to perform break detection and homogenization

to read results of quality control and homogenization


Data:



Daily time series of air temperature (mean, minimum and maximum) and precipitation as .zip files, grouped by data provider.

Information on column content is provided in separate files "data_readme.txt"

about 10000 stations from Italy, France, Switzerland, Austria, Germany, Slovenia, Croatia, Bosnia-Herzegovina, Czech Republic, Slovakia and Hungary

Meta data (code, name, longitude, latitude, elevation, measurements availability for each variable, starting date, ending date) in "metadata.zip", including a file for each data provider

If you use the data you agree to adhere to the respective data provider's terms as listed in "License.pdf"

The license terms especially (and additionally to any other terms of the single data providers) include: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. [from CC BY 4.0] 


 

Version history:

v1.0: initial upload

v2.0: update of data policies; addition of France and Croatia time series
DOI: 10.5281/zenodo.12779748
title: Effect of cleaning procedures on the Mg/Ca ratio of single-specimen planktic foraminifera

description: This is a dataset for a publication by P.-T. Lee, S. L. Ho, J. Groeneveld, M. Mohtadi, C.-C. Shen, C.-C. Su. "Effect of cleaning procedures on the Mg/Ca ratio of single-specimen planktic foraminifera". The file includes: Mg/Ca, Al/Ca, and Mn/Ca data derived from T. sacculifer (Table 1), G. ruber (Table 2), O. universa (Table 3), N. dutertrei (Table 4), P. obliquiloculata (Table 5), and G. menardii (Table 6).
DOI: 10.5281/zenodo.1318151
title: CSP.guru 2023-07-01

description: This version of CSP.guru has been compiled by Richard Thonig and Alina Gilmanova in collaboration with the SolarPACES secretariat and reflects the CSP market in the middle of 2023. The Chinese market continues to develops favorably with many new projects tendering being developed and 1 GW now under construction. To reflect the economics' of these Chinese hybrid projects new columns on hybrid economics have been included. Outside China some plants in Italy and a the third generation CSP pilots G3P3 have been added.
DOI: 10.5281/zenodo.13821556
title: Dataset to: What causes the hemispheric difference in the asymmetry of the temperature annual cycle?

description: These are CESM2 outputs, processed reanalysis data, and codes used in research on hemispheric difference in SAT annual cycle.
DOI: 10.5281/zenodo.14440675
title: Data for "Astronomaly Protege: Discovery Through Human-Machine Collaboration" by Lochner & Rudnick (2024).

description: Repository to host a small website to show the unusual objects discovered by Astronomaly: Protege in the MGCLS data. Viewable at https://michellelochner.github.io/mgcls.protege/.

This repository also hosts some supplementary files from Lochner & Rudnick (2024). The catalogue of Protege's recommendations, including source coordinates and human score (where available), is provided in the catalogue folder, while the outputs from the hyperparameter optimisation experiments in the appendix can be found in the appendix folder. Images of the 6161 source cutouts can be found in the [images folder](images) and in the compressed files `all_images_compressed_part1.zip` and `all_images_compressed_part2.zip`, where the png names correspond to the Protege rank.
DOI: 10.5281/zenodo.14641222
title: Source Data and Simulated Datasets for Sant et al. 2025 - CHOIR improves significance-based detection of cell types and states from single-cell data

description: This repository contains files related to Sant et al. Nature Genetics 2025 which were too large to include as part of the publication. Below, we describe each file and its contents.1. Simulated datasets and associated parameters

Simulated_Data_Parameters.xlsx - This file contains the parameters used to create the simulated datasets mentioned below. Briefly, using the R package Splatter, we generated 100 simulated datasets representing 1, 5, 10, or 20 distinct ground-truth cell populations, ranging from 500 to 25,000 cells. To assess how various aspects of snRNA-seq datasets affect CHOIR’s performance, we used five of the simulated datasets produced with Splatter as the baseline to generate 105 additional simulated datasets in which we incrementally reduced the prevalence of rare cell populations, the degree of differential expression, or the library size. Additionally, we generated 10 simulated datasets with multiple batches, with either balanced or imbalanced batch sizes, and 5 simulated datasets using Splatter’s simulation of cell differentiation trajectories. To ensure that our results were not dependent on the software used for data simulation, we also generated 10 datasets with the simulation method scDesign3 from real subsampled PBMC cell populations.Simulated_Datasets.tar.gz - This tar.gz archive contains the 230 simulated datasets which were used for benchmarking of clustering tools for single-cell analysis in Sant et al. Nature Genetics 2025. The individual datasets have been stored as Seurat objects and combined into a single tar.gz file.

 

2. Source data and results for real-world datasets

SourceData1_RealData.xlsx - This excel file contains the parameters used, the metrics obtained, the cell labels obtained, and any relevant single-cell-resolution results from the analyses of the following real-world datasets: snMultiome human retina (Wang et al. Cell Genomics 2022), atlas-scale snRNA-seq of human brain (Siletti et al. Science 2023), scRNA-seq of mixed cell lines (Kinker et al. Nature Genetics 2020), CITE-seq of human PBMCs (Hao et al. Cell 2021), and sci-Space of mouse embryo (Srivatsan et al. Science 2021).

 

3. Source data and results for simulated datasets

SourceData2_SimulatedData.xlsx - This excel file contains the parameters used, the metrics obtained, and the cell labels obtained for all simulated datasets analyzed in Sant et al. Nature Genetics 2025.
DOI: 10.5281/zenodo.14841886
title: Machine Learning Applications in Risk Management: Trends and Research Agenda
DOI: 10.5281/zenodo.15011362
title: Data for "Precursors to Anderson Localization in the Holstein Model: Quantum and Quantum-Classical Solutions"

description:  Data files for all figures presented in the paper.
DOI: 10.5281/zenodo.4064409
title: Silent Speech EMG

description: Facial electromyography recordings during both silent and vocalized speech. This data is described in the publication "Digital Voicing of Silent Speech" at EMNLP 2020 (https://arxiv.org/abs/2010.02960). Code for processing this data can be found at https://github.com/dgaddy/silent_speech.
description: Each data sample has 5 data files: {i}_emg.npy - a saved numpy array of size (T, 8) with the raw EMG signals; {i}_audio.flac - the raw audio recording; {i}_audio_clean.flac - audio with background noise reduced; {i}_info.json - JSON with extra information, such as the text prompt that was read; {i}_button.npy - a numpy array containing device button state, which is generally unused. Note that some samples do not represent actual datapoints, but are used as reference EMG or audio signals. These samples are marked with "sentence_index: -1" in the associated info file.
DOI: 10.5281/zenodo.4748651
title: Caregivers of people with dementia and mental health during COVID-19: findings from a cross-sectional study.

description: The dataset was generated during a cross sectional survey conducted in May-June 2020, aimed at exploring the impact of COVID 19 pandemic on mental health of caregivers of people with dementia. Data come from a sample of 571 caregivers of people with dementia living in Italy and Southern Switzerland. We registered socio-demographic characteristics, and information about the relationship with the care recipient, dementia subtype, care inputs from others, and the need of care of the person with dementia. We measured caregiver burden with the Zarit Burden Interview (ZBI), psychological distress with the Depression, Anxiety and Stress Scale (DASS-21), and perceived isolation with the 3-item UCLA Loneliness Scale (UCLALS3).
DOI: 10.5285/0e346e1e1e164ac99c60098848537a29
title: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 09.1

description: The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The COMBINED product has been created by directly merging Level 2 scatterometer ('active' remote sensing) and radiometer ('passive' remote sensing) soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.

The v09.1 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.

The data set should be cited using the following references:

1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., "Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
DOI: 10.6084/m9.figshare.24517960
title: Data and Code for "Lateral inhibition in V1 controls neural and perceptual contrast sensitivity," Del Rosario et al., Nature Neuroscience 2025

description: MATLAB data and code needed to reproduce all main and supplemental figures and quantification in "Lateral inhibition in V1 controls neural & perceptual contrast sensitivity," Del Rosario et al., 2023 - 2025.Codebase and embargo date updated on Jan 11, 2025 for accepted manuscript.Codebase updated on Dec 21, 2024 for provisionally accepted manuscript.Codebase updated on July 17, 2024 for revised manuscript.Codebase updated on Oct 1, 2024 for additional revisions to manuscript.All code tested in Matlab 2017a - 2021b. See readMe.txt in .zip archive for instructions.
DOI: 10.6084/m9.figshare.28397207
title: Arsenic toxicity exacerbates China’s groundwater and health crisis

description: Description of additional supplementary files of Arsenic toxicity exacerbates China’s groundwater and health crisis
DOI: 10.6084/m9.figshare.28562858
title: Supplementary Material for: Primary eosinophilic panniculitis of the greater omentum in a young girl: A case report

description: Background: Primary (or idiopathic) panniculitis involving the intra-abdominal adipose tissue is rare, and its pathogenesis remains unknown. A case of primary eosinophilic panniculitis that involved the greater omentum of a girl is reported.
Case Presentation: The patient, an 11-year-old girl, complained of dull periumbilical pain and nausea, and radiological examination showed a mass lesion in the abdomino-pelvic cavity. On laparoscopy, a plaque-like, flat mass was seen in the greater omentum, and laparoscopic omental resection was performed. On histopathological examination, the interlobular fibrous septa of omental adipose tissue were widened by inflammatory edema, prominent infiltration of eosinophils, and loose proliferation of myofibroblasts. Dense lymphocytic infiltration was also noted around small veins. Inflammatory changes were mild in the fat lobules, and fat necrosis and infiltration of lipid-laden macrophages were absent. Findings of obliterative phlebitis or arteritis were not seen.
Conclusion: Isolated involvement of the omentum by a panniculitic process is rare, and the pathogenesis of eosinophilic septal panniculitis found in the present case remains unknown, but involvement of a hypersensitivity reaction against some unknown stimuli is presumed, based on the histopathological resemblance of the omental lesions to erythema nodosum or eosinophilic panniculitis of the skin. We should keep in mind the possibility that the omental lesion in this patient is a harbinger of more serious immunological disorders. Careful, long-term follow-up and monitoring of the patient is needed.
DOI: 10.15468/dl.ubvqun
title: Occurrence Download

description: A dataset containing 881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dahlia imperialis Roezl)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 881 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010046-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rv676d
title: Occurrence Download

description: A dataset containing 547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Drosera rotundifolia L."
 ]
}

 The dataset includes 547 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010048-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afzanc
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Streptopus amplexifolius (L.) DC.",
 "Year 1980-2010"
 ]
}

 The dataset includes 304 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010049-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4665z
title: Occurrence Download

description: A dataset containing 372121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Talpa europaea Linnaeus, 1758"
 ]
}

 The dataset includes 372121 records from 1737 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010033-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.