cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dffe.ccis.07102024
title: Future Drought index: Ensemble 10th,50th and 90th percentiles of Annual maximum length of dry spell: maximum number of consecutive days with RR < 1mm (cdd) 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.14102024
title: Future Fire index: Ensemble 10th,50th and 90th percentiles of Annual number of days with fwi greater than 24 (fwi) for 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.04102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual maximum of daily man temperature (txx) for 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.21102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual heatwave frequency: the number of heatwave days (hwf) 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.16102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual heatwave duration: the length of the longest heatwave (hwd) 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.15102024
title: Future Fire index: Ensemble 10th,50th and 90th percentiles of Annual number of days with fwi greater than 24 (fwi) 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: 10.15468/dl.jwh642
title: Occurrence Download

description: A dataset containing 29716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "DatasetKey is Bugbase, Lepidopterological Society",
 "Geometry POLYGON((10.4052 56.07415,11.02392 56.07415,11.02392 56.58977,10.4052 56.58977,10.4052 56.07415))",
 "HasGeospatialIssue is false",
 "Year 2014-2024"
 ]
}

 The dataset includes 29716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010444-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apb.27269133.v1
title: Supplementary Data

description: Data from rate of wound closure experiments
DOI: 10.60893/figshare.apb.27269133
title: Supplementary Data

description: Data from rate of wound closure experiments
DOI: 10.15468/dl.tud2qt
title: Occurrence Download

description: A dataset containing 50077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Pinus halepensis Mill.",
 "Year 1999-2015"
 ]
}

 The dataset includes 50077 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010445-241024112534372/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.27257673
title: <b>YG-CLOUD dataset </b>(the cloud removal dataset of the Yunnan-Guizhou Plateau)

description: This dataset describes the cloud removal dataset of the Yunnan-Guizhou Plateau in China. The dataset currently contains 19 subfolders, with numbers 1 to 18 used to distinguish specific data collection areas. Each subfolder includes pairs of TIFF images (consisting of cloud-covered and cloud-free images) and corresponding subfolders for cropped images. The folder named "ALL" contains all the image data, of which "CLOUD" and "CLEAR" each contain 4792 images. The "train" and "test" folders are split 8:2, respectively, for training and testing purposes.
DOI: 10.6084/m9.figshare.27257673.v2
title: <b>YN-CLOUD dataset</b>

description: The dataset contains 13 subfolders, with numbers 1 to 12 used to distinguish specific data acquisition areas. Each subfolder includes paired TIFF images (consisting of cloud-covered and cloud-free images) as well as corresponding subfolders of cropped images. The folder named "ALL" contains all the image data, with "CLOUD" and "CLEAR" each containing 3,376 images. The "train" and "test" folders are split in an 8:2 ratio for training and testing purposes, respectively.
DOI: 10.15468/dl.dbfphz
title: Occurrence Download

description: A dataset containing 6110 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence dataset of wild bees (Hymenoptera, Apoidea) present in agricultural and non-farmed landscapes of Central Uganda"
 ]
}

 The dataset includes 6110 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010448-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afghyz
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miconia quadrangularis (Sw.) Naudin"
 ]
}

 The dataset includes 115 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010449-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/9d3f41e9-ddcd-4153-8508-2a9a9d5ea654
title: Data underlying the publication "Check-probe spectroscopy of lifetime-limited emitters in bulk-grown silicon carbide"

description: Solid-state single-photon emitters provide a versatile platform for exploring quantum technologies such as optically connected quantum networks. A key challenge is to ensure optical coherence and spectral stability of the emitters. Here, we introduce a high-bandwidth `check-probe' scheme to quantitatively measure (laser-induced) spectral diffusion and ionisation rates, as well as homogeneous linewidths. We demonstrate these methods on single V2 centers in commercially available bulk-grown 4H-silicon carbide. Despite observing significant spectral diffusion under laser illumination (≳GHz/s), the optical transitions are narrow (∼35 MHz), and remain stable in the dark (≳1 s). Through Landau-Zener-Stückelberg interferometry, we determine the optical coherence to be near-lifetime limited (T2 = 16.4(4) ns), hinting at the potential for using bulk-grown materials for developing quantum technologies. These results advance our understanding of spectral diffusion of quantum emitters in semiconductor materials, and may have applications for studying charge dynamics across other platforms.<br>This server contains the data and jupyter notebooks to reproduce the figures (see README file for instructions). Execute the notebook files (.ipynb extension) via an iPython environment. These will load the data from the .json data files to recreate the figures.
DOI: 10.4121/9d3f41e9-ddcd-4153-8508-2a9a9d5ea654.v1
title: Data underlying the publication "Check-probe spectroscopy of lifetime-limited emitters in bulk-grown silicon carbide"

description: Solid-state single-photon emitters provide a versatile platform for exploring quantum technologies such as optically connected quantum networks. A key challenge is to ensure optical coherence and spectral stability of the emitters. Here, we introduce a high-bandwidth `check-probe' scheme to quantitatively measure (laser-induced) spectral diffusion and ionisation rates, as well as homogeneous linewidths. We demonstrate these methods on single V2 centers in commercially available bulk-grown 4H-silicon carbide. Despite observing significant spectral diffusion under laser illumination (≳GHz/s), the optical transitions are narrow (∼35 MHz), and remain stable in the dark (≳1 s). Through Landau-Zener-Stückelberg interferometry, we determine the optical coherence to be near-lifetime limited (T2 = 16.4(4) ns), hinting at the potential for using bulk-grown materials for developing quantum technologies. These results advance our understanding of spectral diffusion of quantum emitters in semiconductor materials, and may have applications for studying charge dynamics across other platforms.<br>This server contains the data and jupyter notebooks to reproduce the figures (see README file for instructions). Execute the notebook files (.ipynb extension) via an iPython environment. These will load the data from the .json data files to recreate the figures.
DOI: 10.15468/dl.2b4cpj
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Verticillium longisporum (C.Stark) Karapapa, Bainbr. & Heale"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010451-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/ds/7827
title: Simple Parameters and Data Processing for Better Signal-to-Noise and Temporal Resolution in In Situ NMR Reaction Monitoring
title: Primary NMR data used during development of the FID post processing averaging methodology

description: Primary NMR data used during development of the FID post processing averaging methodology. Abstract: In situ 1D NMR spectroscopic reaction monitoring allows detailed investigation of chemical kinetics and mechanism. Concentration versus time data are derived from a time-series of NMR spectra. Each spectrum in the series is obtained by Fourier transform of the corresponding FID. When the spectrometer outputs FIDs recorded from multiple scans, the spectra benefit from an increase in signal-to-noise (S/N). However, this reduces the number of FIDs and thus kinetic datapoints. We report a simple alternative in which the same number of scans are acquired by the spectrometer, but each scan is saved independently. Signal averaging is then conducted by post-acquisition processing. This leads to an increase in both the S/N and the number of kinetic datapoints and avoids "over-averaging" effects. The entire series of single scan FIDs spanning the reaction lifetime can be summed to yield a 'total reaction spectrum' in wh