cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dffe.ccis.58102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual percentage of days when TN < 10th percentile (tn10p) for 1.5 degree global temperature scenario relative to the period 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for the baseline period (1961-1990). The level of model uncertainty was represented by ensemble percentiles (10th, 50th and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the monthly maximum value of daily maximum temperature (Txx) for the baseline period is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.44102024
title: Future Drought index: Ensemble 10th,50th and 90th percentiles of Annual standardised precipitation evapotranspiration index: A drought measure specified using precipitation and evaporation (SPEI) for baseline period of 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for the baseline period (1961-1990). The level of model uncertainty was represented by ensemble percentiles (10th, 50th and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the monthly maximum value of daily maximum temperature (Txx) for the baseline period is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.54102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual mean of daily temperature (tmn) for 2.0 degree global temperature scenario relative to the period 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for the baseline period (1961-1990). The level of model uncertainty was represented by ensemble percentiles (10th, 50th and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the monthly maximum value of daily maximum temperature (Txx) for the baseline period is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.56102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual mean of daily temperature (tmn) for 1.5, 2.0 and 3.0 degree global temperature scenario relative to the period 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for the baseline period (1961-1990). The level of model uncertainty was represented by ensemble percentiles (10th, 50th and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the monthly maximum value of daily maximum temperature (Txx) for the baseline period is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.48102024
title: Future Drought index: Ensemble 10th,50th and 90th percentiles of Annual standardised precipitation index: A drought measure specified as a precipitation deficit (SPI) for baseline period of 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for the baseline period (1961-1990). The level of model uncertainty was represented by ensemble percentiles (10th, 50th and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the monthly maximum value of daily maximum temperature (Txx) for the baseline period is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.5281/zenodo.14011539
title: Simulated trajectories in typical summer/winter.

description: Simulated trajectories in typical summer/winter in the Pearl River Estuary.
DOI: 10.5281/zenodo.14011540
title: Simulated trajectories in typical summer/winter.

description: Simulated trajectories in typical summer/winter in the Pearl River Estuary.
DOI: 10.15468/dl.6bjfhp
title: Occurrence Download

description: A dataset containing 15028 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"in","key":"TAXON_KEY","values":["3596501"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["HUMAN OBSERVATION"],"matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false}]}

 The dataset includes 15028 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012024-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.27270303
title: Supplement Number 1

description: additional data
DOI: 10.60893/figshare.apl.27270303.v1
title: Supplement Number 1

description: additional data
DOI: 10.60893/figshare.apl.27276549
title: Supplemental information

description: Supplemental information describing the experimental section in more detail.
DOI: 10.6084/m9.figshare.27324858
title: Unilateral-Dominant Lameness Induces Changes in BreakoverDuration Symmetry in Equine Walk- Data Files

description: This Figshre contains the data underpinning the findings of the associated manuscript.In brief, 16 horses (5 sound, 3 forelimb lame, 7 hindlimb lame and 1 both fore- and hindlimb lame) were walked along a hard track with inertial measurement units (IMUs) attached to the lateral aspect of each hoof. The IMUs contained gyroscopes which measured angular velocities in the x-, y- and z-directions (relative to the reference system of the device) at a frequency of 200Hz.The resultants of angular velocity were calculated and used to detect the gait events: hoof-on, -off and onset of breakover. From these, temporal gait parameters were calculated.Results indicate that, whilst stride and stance duration appear to have been unaffected by lameness, there was an effect on breakover duration. For sound horses, the breakover duration of the left and right limbs of fore- and hindlimb pairs demonstrated a high degree of symmetry; whereas, in lame limb pairs, there was a breakdown in this symmetry, with the breakover duration of the lame limb being significantly longer than that of the contralateral limb. This finding held for all horses included in the study.The pattern should be investigated further to explore its usefulness as an indicator of lameness.
DOI: 10.21227/n0t3-he50
title: SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022

description: Spatial dynamic wind power forecasting dataset (SDWPF dataset) gathered from the Baidu KDD CUP 2022 challenge was released by Longyuan Power Group, a collection of wind turbine data from their wind farm, gathered by SCADA systems that tracked and monitored the turbines. The information was updated every 10 minutes and included readings from all 134 turbines on the farm. This dataset provided a comprehensive record of the wind farm's past operations by collecting various sensor readings from each turbine. SDWPF dataset contains a total of 47,27,520 records. Each data point included a unique Wind turbine ID, day, and time of the record. Weather data was captured through wind speed and ambient temperature, while internal conditions were monitored by nacelle temperature. The dataset also detailed the direction of the turbine's nacelle, along with the pitch angles of each of the three blades. Finally, it recorded the reactive and active power generated by the turbine.
DOI: 10.15468/dl.g3c6pb
title: Occurrence Download

description: A dataset containing 29432822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6 55,19 55,19 59.25,6 59.25,6 55))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 29432822 records from 453 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012022-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jcp.26956042
title: Supplement Number 1

description: dissociation limits and Franck - Condon factor are listed here
DOI: 10.60893/figshare.jcp.27332055.v1
title: Supplement 1

description: dissociation limits and Franck - Condon factors are placed here.
DOI: 10.60893/figshare.jcp.27332055
title: Supplement 1

description: dissociation limits and Franck - Condon factors are placed here.
DOI: 10.15468/dl.n6sdxy
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bryconamericus exodon Eigenmann, 1907"
 ]
}

 The dataset includes 311 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012025-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4jt54
title: Occurrence Download

description: A dataset containing 34258 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Animal Sound Archive"
 ]
}

 The dataset includes 34258 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012026-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pg2fm3
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cichla kelberi Kullander & Ferreira, 2006"
 ]
}

 The dataset includes 215 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012027-241024112534372/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/9763341
title: Milk Production Dataset
DOI: 10.48420/27290712
title: Research Data for "Nitrogen-Vacancy Color Centers in Nanodiamonds as Reference Single-Photon Emitters"

description: <i>Acronyms:</i><br><i>National Physical Laboratory (NPL)</i><br><i>University of Manchester (UoM)</i><i>Nitrogen Vacancy (NV)</i><br><i>Hanbury Brown and Twiss (HBT)</i><i>root mean square error (RMSE)</i>This dataset is used in the research "Nitrogen-Vacancy Color Centers in Nanodiamonds as Reference Single-Photon Emitters". The data included here is for the initial search for candidates run at NPL, then remeasurements carried out at UoM to verify the method. The intensity maps are included for the exemplary single-photon emitter nanodiamond #B as denoted in the main text.h5 datasets organised in to four .h5 files:nplht_data.h5: High-throughput fitting parameters for 254 NV centers identified at NPL. Parameters include saturation count rate, I<sub>sat</sub>, g<sup>(2)</sup>(0) values and RMSE of the g<sup>(2)</sup>(t) signal.candidates_data.h5: Parameter catalogue for power dependence fittings, g<sup>(2)</sup>(t) fittings for candidates selected at NPL and remeasured parameters at UoM. The data recorded at NPL is tagged with "[NPL]" at the end of the dataset name. Each measurement has a unique identifier under "/candidates/File_tag", which corresponds to rows in the table of data in the "/candidates/" dataset.ps_data.h5: Identical to "candidates_h5", with the addition of coincidence times for generating g<sup>(2)</sup>(t) signals. This is computed from the raw photon streams form the HBT interferometer setup. The coincidences recorded from NPL are organised according to the manuscript labelling #A to #F. Coincidences recorded at UoM are grouped and entered in to their own dataset under their unique "File tag", due to several remeasurements on the same NV center.exemplary_map.h5: Count rate mappings for ND #B at NPL and UoM, used for overlaying the maps shown in figure 1a) in the main text. The X and Y coordinates are stored as attributes for their respective maps.The "microscope_imagery" folder contains dark and bright-field images which can be used to calculate the areal density of the nanodiamonds.The "analysis_code" folder contains MATLAB code used for data processing, analysis and displaying figures and graphs. Please simply download this figshare repository and run "analysis_code/publication_figures.m" to regenerate the figures show in the main article.<br>
DOI: 10.15468/dl.ha5e5m
title: Occurrence Download

description: A dataset containing 6844 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio helenus Linnaeus, 1758"
 ]
}

 The dataset includes 6844 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012028-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.keb46c
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)",
 "Year 1000-1969"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012029-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xh3t3c
title: Occurrence Download

description: A dataset containing 1799 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio nephelus Boisduval, 1836"
 ]
}

 The dataset includes 1799 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012030-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj8mwr
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eneremius Saussure, 1888"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055848-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adsrcu
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platydemus manokwari Beauchamp, 1962"
 ]
}

 The dataset includes 232 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030896-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gafzwx
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave mapisaga Trel."
 ]
}

 The dataset includes 131 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067498-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkxrny
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rhodiola saxifragoides (Fröd.) H.Ohba"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055866-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.