cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18221491
title: Bellier Healthy Gait Data Set

description: A data set to store gait data of healthy subjects.

The goal is to recruit healthy volunteers of different genders and age ranges (and possibly weights and heights) to characterize their gait through the orientation of their right hip as they walk on the gold-standard GAITRite (R) walkway at the Bellier University Hospital in Nantes, France.

Orientation data was collected using an IMU clipped on the belt of the individuals at the level of their right hip. The IMU is the MMR-5 model manufactured by MbientLab Inc (hardware version 0.1, firmware version 1.7.3).

Patch release v0.1.1

In this version, we



fixed speed data which was previously not stored in the correct order.


Initial release v0.1.0

The current version v0.1.0 contains 174 walking sessions of a total of six individuals.

Acknowledgments



This work was supported by the DEMAR'AGE project funded by the I-Site NExT (Nantes Excellence Trajectory) and by the French government through the French National Research Agency and the investment plan France 2030. Financers include Nantes University, Nantes Métropole and the Pays de la Loire Region.
We would also like to thank our colleagues from the Department of Geriatrics at Nantes University Hospital for granting us access to their clinical facilities and, in particular, to the GAITRite® system.
DOI: 10.15468/dl.jnk4w7
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cicer montbretii"
 ]
}

 The dataset includes 50 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012198-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14509087
title: IoT for Home - Flex Dataset Traffic
DOI: 10.6084/m9.figshare.31073878
title: Dataset - Thermal variability and atmospheric water demand constrain herbaceous biomass production beyond rainfall totals in Mediterranean ecosystems.

description: This dataset contains derived, plot-level summary data used in the study <i>'Thermal variability and atmospheric water demand constrain herbaceous biomass production beyond rainfall totals in Mediterranean ecosystems'</i>.The data are based on a long-term rainfall manipulation experiment conducted at the Matta LTER site (Mediterranean shrubland, central Israel) and include annual aboveground herbaceous biomass measurements (2002–2024) alongside corresponding climatic and treatment variables.Variables include:Aboveground herbaceous biomass (g m⁻²)Diurnal temperature range (DTR)Vapor pressure deficit (VPD)Precipitation metrics (cumulative precipitation, rainfall intensity, number of rain events)Rainfall manipulation treatment (percentage of natural precipitation)Selected antecedent (previous-year) climate indicesThe dataset represents processed summary values (means and derived indices) used for statistical and machine-learning analyses in the associated manuscript. Raw sensor-level and plot-level time series are not included.These data are provided to support transparency, reproducibility, and future synthesis efforts, and are sufficient to reproduce the main analyses and figures presented in the manuscript.
DOI: 10.6084/m9.figshare.31073878.v1
title: Dataset - Thermal variability and atmospheric water demand constrain herbaceous biomass production beyond rainfall totals in Mediterranean ecosystems.

description: This dataset contains derived, plot-level summary data used in the study <i>'Thermal variability and atmospheric water demand constrain herbaceous biomass production beyond rainfall totals in Mediterranean ecosystems'</i>.The data are based on a long-term rainfall manipulation experiment conducted at the Matta LTER site (Mediterranean shrubland, central Israel) and include annual aboveground herbaceous biomass measurements (2002–2024) alongside corresponding climatic and treatment variables.Variables include:Aboveground herbaceous biomass (g m⁻²)Diurnal temperature range (DTR)Vapor pressure deficit (VPD)Precipitation metrics (cumulative precipitation, rainfall intensity, number of rain events)Rainfall manipulation treatment (percentage of natural precipitation)Selected antecedent (previous-year) climate indicesThe dataset represents processed summary values (means and derived indices) used for statistical and machine-learning analyses in the associated manuscript. Raw sensor-level and plot-level time series are not included.These data are provided to support transparency, reproducibility, and future synthesis efforts, and are sufficient to reproduce the main analyses and figures presented in the manuscript.
DOI: 10.15468/dl.qvmtgv
title: Occurrence Download

description: A dataset containing 1904 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schizaea pusilla"
 ]
}

 The dataset includes 1904 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012197-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dwbak
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya ovatifolia"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012199-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvcrcp
title: Occurrence Download

description: A dataset containing 1459461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1966-2026"
 ]
}

 The dataset includes 1459461 records from 642 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012153-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.120852
title: Research data supporting "A cell-level model to predict the spatiotemporal dynamics of neurodegenerative disease"

description: This readme file was generated on 2025-08-19 by Shih-Huan Huang. GENERAL INFORMATION • Title of Dataset: Raw data and plotting scripts for "A cell-level model to predict the spatiotemporal dynamics of neurodegenerative disease" First Author Information Name: Shih-Huan Huang ORCID: 0000-0003-1707-9416 Institution: University of Cambridge Address: Yusuf Hamied Department of Chemistry, Lensfield Road, Cambridge, CB2 1EW, UK Email: shh39@cam.ac.uk Corresponding Author Information Name: Georg Meisl ORCID: 0000-0002-6562-7715 Institution: University of Cambridge Address: Yusuf Hamied Department of Chemistry, Lensfield Road, Cambridge, CB2 1EW, UK Email: gm373@cam.ac.uk SHARING/ACCESS INFORMATION • Licenses/restrictions placed on the data: CC BY 4.0: Creative Commons Attribution • Links to publications that cite or use the data: https://doi.org/10.48550/arXiv.2508.15046 • Links to other publicly accessible locations of the data: https://doi.org/10.48550/arXiv.2508.15046 • Links/relationships to ancillary data sets: None • Was data derived from another source? No. • Recommended citation for this dataset: Huang et al., (2025). Dataset for " A cell-level model to predict the spatiotemporal dynamics of neurodegenerative disease ". Apollo – University of Cambridge Repository. 10.17863/CAM.120852 DATA & FILE OVERVIEW File List: The dataset is organized into folders corresponding to each figure in the manuscript, with Python scripts in the root directory for plotting. • Fig2/ to Fig8/: Folders containing raw data files for Figures 2-8. • SIFig1/: Folder containing raw data for Supplementary Figure 1. • *.py and *.ipynb: Python scripts and a Jupyter Notebook used to analyze the raw data and generate the figures. • README: Instructions for the plotting. • Relationship between files, if important: The Python scripts in the root directory use the data files located in the corresponding FigX folders to generate the manuscript figures. • Additional related data collected that was not included in the current data package: None. • Are there multiple versions of the dataset? No. METHODOLOGICAL INFORMATION Description of methods for collection/generation of data: The data was generated from numerical simulations of the first-principles biophysical model described in our associated manuscript. Please refer to the Methods section of the publication for full details on the model and simulation protocols: https://doi.org/10.48550/arXiv.2508.15046 Methods for processing the data: The data provided is the direct, raw output from the numerical simulations. No post-processing or cleaning steps were applied to the raw data files. The included scripts are for analysis and visualization only. Instrument- or software-specific information needed to interpret the data: The plotting scripts require a Python 3.x environment. The following libraries and their dependencies are required to run the scripts: • numpy • matplotlib • pandas • scipy • jupyter (for running the .ipynb notebook)
DOI: 10.15468/dl.g4b3n9
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "DatasetKey is Monitoring Porto 2006-2008",
 "TaxonKey is Laminariaceae"
 ]
}

 The dataset includes 52 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012200-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18258721
title: SuperDARN meteor winds product (1993 - 2024)

description: SuperDARN meteor wind data covering 1993 - 2024. These observations represent an average over approximately 80 - 100 km (contribution function parameters now stored in the files).  Supported by NSF #1934973 & #2426201 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support.

SuperDARN is an international collaboration operating ~35 high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact superdarn at jhuapl dot edu for information about this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
description: more bug-fixes. new ML model used to estimate altitudinal contribution function. New version of meteorproc algorithm implemented.
DOI: 10.5281/zenodo.18259326
title: 17-voices-from-the-mire-arabic
DOI: 10.5281/zenodo.18259325
title: 17-voices-from-the-mire-arabic
DOI: 10.21227/6b9n-fq70
title: "\u200bThe Shuiquan Unified Wisdom of Past and Future: 1+(-1)=0"

description: "This paper proposes a comprehensive theoretical framework of Hexue (Harmony Learning), fundamentally defined as \"Shuiquan's Unified Wisdom of Past and Future: The Ultimate Equilibrium of 1+(-1)=0.\" Centered on the core tenets of \"symbiosis, opposition, and ultimate unity,\" this research aims to integrate ancient symbolic wisdom with modern scientific rigor into a singular, cohesive ontological system. The framework takes the Zero State Field (ZSF) as its foundation, where the equilibrium law 1+(-1)=0 explains the existential essence of the universe, and the evolutionary logic derived from this zero-point reveals the developmental laws of all things.\u200bThe ZSF, corresponding to the \"0\" in the Shuiquan Unified Equation (1+(-1)=0), is validated through a synthesis of Eastern and Western philosophy (e.g., Fuxi\u2019s Eight Trigrams, Laozi\u2019s Daoism, Socratic philosophy) and fundamental scientific principles ranging from Newtonian mechanics to quantum field theory. The equilibrium of 1+(-1)=0 is shown to be universally manifested in physical phenomena such as action-reaction forces and particle-antiparticle annihilation. Furthermore, the evolutionary logic 1+(-2)=3 (operating under modulo-3 arithmetic) represents the dynamic flow of Shuiquan Wisdom, where \"1\" denotes the explicit present and \"-2\" represents historical implicit potential energy. This logic is verified through relativistic electromagnetism and the development of tri-state logic systems.\u200bTo visualize and validate this Unified Wisdom, six numerical simulation experiments were conducted, focusing on ZSF spatial stability and the \"Three Talents\" (Heaven-Earth-Human) coupling. The results confirm that the ZSF consistently converges to a stable zero state, with the \"Human\" element acting as a critical regulator in the cosmic balance. Practical applications of the Shuiquan 1+(-1)=0 framework are explored in interstellar communication, energy systems, and ternary chip computing, demonstrating superior anti-interference capabilities compared to traditional binary systems. Ultimately, this work provides a rigorous mathematical and philosophical path for exploring cosmic truths, proving that the Unified Wisdom of Past and Future is the key to advancing human civilization toward a state of universal harmony"
DOI: 10.15468/dl.5qzzhg
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.09374 -3.36645,29.21463 -3.34189,29.3223 -3.35134,29.25808 -2.99243,28.91995 -2.45785,28.81228 -2.46918,28.81984 -2.57308,28.95206 -2.80164,29.18063 -3.12655,29.09374 -3.36645))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arthropoda",
 "Year 2024-2026"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012205-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/j731688o
title: kafando-2024-1-1

description: IsSupplementTo: https://doi.org/10.1111/agec.12814; IsSourceOf: [TODO]
DOI: 10.6084/m9.figshare.31073887
title: Dataset for a global meta-analysis of potassium fertilization effects on cereal yield and soil organic carbon

description: Dataset for a global meta-analysis of potassium fertilization effects on cereal yield and soil organic carbon
DOI: 10.6084/m9.figshare.31073887.v1
title: Dataset for a global meta-analysis of potassium fertilization effects on cereal yield and soil organic carbon

description: Dataset for a global meta-analysis of potassium fertilization effects on cereal yield and soil organic carbon
DOI: 10.6084/m9.figshare.31073887.v2
title: Dataset for a global meta-analysis of potassium fertilization effects on cereal yield and soil organic carbon

description: Dataset for a global meta-analysis of potassium fertilization effects on cereal yield and soil organic carbon
DOI: 10.15468/dl.q3bc5n
title: Occurrence Download

description: A dataset containing 740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya rubiginosa"
 ]
}

 The dataset includes 740 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012206-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp7hym
title: Occurrence Download

description: A dataset containing 803 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orostachys fimbriata"
 ]
}

 The dataset includes 803 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012207-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18167284
title: Data and Code for "Current and Future Changes in Earth's Outgoing Infrared Spectrum"

description: This repository includes data and code needed to produce figures for "Current and Future Changes in Earth's Outgoing Infrared Spectrum".
DOI: 10.5281/zenodo.18167283
title: Data and Code for "Current and Future Changes in Earth's Outgoing Infrared Spectrum"

description: This repository includes data and code needed to produce figures for "Current and Future Changes in Earth's Outgoing Infrared Spectrum".
DOI: 10.34740/kaggle/dsv/14509143
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5284/1136980
title: Digital Archive from Set Piece Excavations and Associated Archaeological Works at Hinkley Point C, Somerset, 2009-2016

description: This collection comprises reports, C14 results, vector drawings, databases, spreadsheets, site photographs and videos including images of skeletons from a series of set piece excavations (SPEs) at the site of the nuclear power station at Hinkley Point C, Somerset, undertaken by Cotswold Archaeology for EDF Energy between 2009 and 2016. The archaeological investigations covered an area of nearly 1.5 square kilometres, and recorded a variety of remains dating from the Early Neolithic period to the modern era.
DOI: 10.15468/dl.dnz5sn
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.13129 -3.52224,29.1159 -4.41321,29.0697 -5.24178,29.37767 -5.71696,29.28528 -6.11519,29.54706 -6.75786,30.03982 -7.17055,30.2246 -7.67445,30.53257 -8.0558,30.39399 -8.39108,30.77895 -8.68042,31.16392 -8.68042,30.70196 -7.39967,30.2862 -6.49783,29.87043 -6.11519,29.88583 -5.48708,29.70105 -4.50533,29.36227 -3.56835,29.13129 -3.52224))",
 "HasGeospatialIssue is false",
 "TaxonKey is Arthropoda",
 "Year 2024-2026"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012208-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15298671
title: Petrographic insights into phosphate formation in L and LL ordinary chondrites - Dataset

description: This dataset supports the study of petrographic and chemical differences between L and LL chondrites, with a focus on phosphate evolution during thermal metamorphism. It contains quantitative measurements of phosphate (apatite and merrillite) abundances, grain sizes, and compositions in L, LL, and L/LL ordinary chondrites, covering a total analyzed area of ~2730 mm², as well as backscattered electron images and EDS-X data obtained by SEM. Data include phosphate modal abundances and individual compositions of apatites and merrillites across meteorites of varying petrologic types.
DOI: 10.5281/zenodo.15298672
title: Petrographic insights into phosphate formation in L and LL ordinary chondrites - Dataset

description: This dataset supports the study of petrographic and chemical differences between L and LL chondrites, with a focus on phosphate evolution during thermal metamorphism. It contains quantitative measurements of phosphate (apatite and merrillite) abundances, grain sizes, and compositions in L, LL, and L/LL ordinary chondrites, covering a total analyzed area of ~2730 mm², as well as backscattered electron images and EDS-X data obtained by SEM. Data include phosphate modal abundances and individual compositions of apatites and merrillites across meteorites of varying petrologic types.
DOI: 10.15468/dl.45bz3e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dolichopteroides Parin, Belyanina & Evseenko, 2009",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((14.3361 -25.1213,14.3389 -25.1504,17.9648 -25.1504,17.9648 -16.1504,11.2727 -16.1504,11.2674 -18.0072,11.5829 -18.7133,12.1645 -19.4011,13.5129 -22.0148,13.9862 -22.5966,13.9591 -24.1097,14.3361 -25.1213))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008518-250525065834625/datasets/export for details.
DOI: 10.15468/dl.zzjprz
title: Occurrence Download

description: A dataset containing 262600 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((38.94019 -7.427288, 39.87556 -7.427288, 39.87556 -4.182004, 38.94019 -4.182004, 38.94019 -7.427288))"
 ]
}

 The dataset includes 262600 records from 548 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013078-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.1363823
title: Nest survival (nestling) and brood failure dataset

description: Dataset from:
Dunn, J. C., Hamer, K. C. & Benton, T. G. Anthropogenically-mediated density dependence in a declining farmland bird. PLOS ONE 2015 (accepted)
DOI: 10.6084/m9.figshare.1363823.v1
title: Nest survival (nestling) and brood failure dataset

description: Dataset from:
Dunn, J. C., Hamer, K. C. & Benton, T. G. Anthropogenically-mediated density dependence in a declining farmland bird. PLOS ONE 2015 (accepted)