cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dffe.ccis.63102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual percentage of days when TN > 90th percentile (tn90p) 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.88102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual mean maximum temperature (txm) 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.86102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual percentage of days when TX > 90th percentile (tx90p) 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.62102024
title: Future Extreme heat index: Ensemble 10th,50th and 90th percentiles of Annual percentage of days when TN > 90th percentile (tn90p) 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.13851356
title: Data and code for: Cellular-resolution optogenetics reveals attenuation-by-suppression in visual cortical neurons

description: Data and accompanying analysis code to generate main figures from "Cellular-resolution optogenetics reveals attenuation-by-suppression in visual cortical neurons" in PNAS.
DOI: 10.5281/zenodo.10045076
title: 2D Halide Perovskite (PEA2PbBr4, PEA2PbI4) CL and EDX dataset

description: 1) Dataset of hyperspectral cathodoluminescence (CL) maps for three samples: PEA2PbBr4, PEA2PbI4 and lateral heterostructures PEA2PbBr4-I4.
Hyperspectral data is stored in the "hspy" HyperSpy HDF5 specification, and can be loaded and analysed using Python (see HyperSpy documentation). Each hspy file contains comprehensive measurement metadata accessible in the "original_metadata" attribute in Python.
2) Dataset of hyperspectral energy-dispersive X-ray (EDX) spectroscopy for PEA2PbBr4-I4. Also in "hspy" format.
DOI: 10.5281/zenodo.13742282
title: Single cell RNA-seq data from: Differentiation signals induce APOBEC3A expression via GRHL3 in squamous epithelia and squamous cell carcinoma

description: Seurat object for single cell RNA-seq of 10 head and neck squamous cell carcinoma patients, epithelial cells only. From "Differentiation signals induce APOBEC3A expression via GRHL3 in squamous epithelia and squamous cell carcinoma ". Two APOBEC (apolipoprotein-B mRNA editing enzyme catalytic polypeptide-like) DNA cytosine deaminase enzymes (APOBEC3A and APOBEC3B) generate somatic mutations in cancer, driving tumour development and drug resistance. Here we used single cell RNA sequencing to study APOBEC3A and APOBEC3B expression in healthy and malignant mucosal epithelia, validating key observations with immunohistochemistry, spatial transcriptomics and functional experiments. Whereas APOBEC3B is expressed in keratinocytes entering mitosis, we show that APOBEC3A expression is confined largely to terminally differentiating cells and requires Grainyhead-like transcription factor 3 (GRHL3). Thus, in normal tissue, neither deaminase appears to be expressed at high levels during DNA replication, the cell cycle stage associated with APOBEC-mediated mutagenesis. In contrast, we show that in squamous cell carcinoma, there is expansion of GRHL3 expression and activity to a subset of cells undergoing DNA replication and concomitant extension of APOBEC3A expression to proliferating cells. These findings suggest that APOBEC3A may play a functional role during keratinocyte differentiation and offer a mechanism for acquisition of APOBEC3A mutagenic activity in tumours.
DOI: 10.5281/zenodo.10909861
title: Positive autoregulation of Sox17 is necessary for gallbladder and extrahepatic biliary duct formation

description: This is a processed data (Seurat object) that contain single cell RNA-seq data from mouse , E10.5, Sox17∆50/∆50 mutant and Sox17+/+ embryos enriched for EPCAM+/CXCR4+ endodermal cells. Dataset contains 2912 total cells post qc. Sox17+/+ and Sox17Δ50/Δ50 cell samples are labelled with barcodes from 3'CellPlex Kit (10X Genomics). CellPlex Barcode ID CMO307 represent Sox17+/+ and CMO309 represent Sox17Δ50/Δ50 cells (included in assay named "CMO"). Genotype labels are under metadata column "genotype" as well. Libraries were constructed according to the manufacturer’s instructions for 10x Genomics Single Cell 3′ Library  kit v3. Demultiplex, qc and alignment was performed using 10X Genomics Cell Ranger software v3.0.2 and mm10 genome version index from 10X genomics(https://cf.10xgenomics.com/supp/cell-exp/refdata-gex-mm10-2020-A.tar.gz) was used. Additional quality control filtration, normalization, unsupervised clusteringwas performed using Seurat v4 R package. The raw data will be available in Biostudies (https://www.ebi.ac.uk/biostudies/) when published under accession ID E-MTAB-14000.
DOI: 10.5281/zenodo.12826951
title: Kinematic and Electromyographic Recordings during Dynamic, Repetitive, Low-Force Movements

description: Experimental recordings of kinematic (XSens Awinda, Full-Body) and electromyographic (Delsys Trigno, 8 Right Arm Muscles) data during 4 repetive upper limb exercises with a 1.5Kg dumbell: A) elbow counter-gravity flexion and gravity-assisted extension, with torso tilted forwards; B) shoulder counter-gravity abduction and gravity-assisted adduction; C) shoulder counter-gravity flexion and gravity-assisted extensio; D) composite sequence of elbow/shoulder flexion/extension motions, executed until self-reported fatigue.

A total of 17 healthy volunteers  (11 Male; 6 Female; 23.82 ± 2.79 years old, 69.06 ± 14.75 Kg) were recruited. Each participant willingly agreed to participate in the study and gave their signed, informed consent, following the standard set by the declaration of Helsinki and the Oviedo Conventions.

Additionally, self-reported fatigue after each exercise, according to Borg's Perceived Exertion Scale (Borg, 1998), is provided for all subjects.

For a detailed description of the experimental protocol and instrumentation, refer to associated research paper (submission under review).
DOI: 10.5281/zenodo.12751130
title: Computational data (frequencies calculations) of the nitroxides

description: This dataset contains the Gaussian checkpoint files (this is a formatted text format, described at https://gaussian.com/interfacing/) corresponding to the frequency calculations performed on each of the most stable structures (in both solvents and for each complexation state). Check out README for the details on data organisation.
DOI: 10.5281/zenodo.13743374
title: Single-cell RNA sequencing reveals immunosuppressive pathways associated with metastatic breast cancer
DOI: 10.5281/zenodo.13765689
title: Data and code: Local hydroclimate alters interpretation of speleothem 𝛿18O records

description: See version 3. Small errors were corrected in the HH1_PCP-corrected_d18O.xlsx file.

 

This repository contains PCP-corrected d18O records for stalagmite HH-1, rainfall isotope data from Phong Nha Ke Bang National Park, and code to conduct PCP correction analyses presented and used in E.W. Patterson et al., "Local hydroclimate alters interpretation of speleothem 𝛿18O records". The data can be used to replicate figures and analyses presented in the main text.
DOI: 10.5281/zenodo.13768862
title: Data and code: Local hydroclimate alters interpretation of speleothem 𝛿18O records

description: See version 3

 

This repository contains PCP-corrected d18O records for stalagmite HH-1, rainfall isotope data from Phong Nha Ke Bang National Park, and code to conduct PCP correction analyses presented and used in E.W. Patterson et al., "Local hydroclimate alters interpretation of speleothem 𝛿18O records". The data can be used to replicate figures and analyses presented in the main text. The O'neil correction was primarily used for analyses in the publication.
DOI: 10.15468/dl.xwcgn7
title: Occurrence Download

description: A dataset containing 27193 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"1737131","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 27193 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013043-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8383967
title: Dataset for "Comprehensive Identification of NUMTs in the Human Reference Genome through Pan-Mitogenome"

description: <strong>存放"Comprehensive Identification of NUMTs in the Human Reference Genome through Pan-Mitogenome"文章中的相关数据。</strong> 包括blastn出来的原始output文件;mtDNA-like short segments fastq文件;ATAC-seq的fastq文件; 以及文章中提及的supplementary 表格和bed文件
DOI: 10.5281/zenodo.8383968
title: Dataset for  "Comprehensive Identification of NUMTs in the Human Reference Genome through Pan-Mitogenome"

description: 存放"Comprehensive Identification of NUMTs in the Human Reference Genome through Pan-Mitogenome"文章中的相关数据。


包括blastn出来的原始output文件;mtDNA-like short segments fastq文件;ATAC-seq的fastq文件;


以及文章中提及的supplementary 表格和bed文件
DOI: 10.5281/zenodo.14015167
title: Repository for the echinoid geochemistry project by Gorzelak et al. 2024 PeerJ
title: Gorzelak et al. repository
DOI: 10.5281/zenodo.14015168
title: Repository for the echinoid geochemistry project by Gorzelak et al. 2024 PeerJ
title: Gorzelak et al. repository
DOI: 10.15468/dl.c594ny
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"2702529","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 296 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013044-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14014494
title: Downscaled/bias-corrected precipitation for the Kaskawulsh River headwaters, Yukon, Canada.

description: This dataset contains North American Regional Reanalysis (NARR) precipitation, downscaled/bias-corrected for the Kaskawulsh River headwaters catchment in Yukon, Canada. 

There is 1 file per year, with dimensions (t, x, y) = 2920  x 230 x 329 (3-hourly timestep,  230 gridcells x 329 grid cells). Gridcells are 200m x 200m. 

Downscaled precip: 

NARR precipitation is downscaled following Young et al. (2021), using a regression-based approach from Guan et al. (2009) that relates NARR surface precipitation to the Easting, Northing and elevation of NARR gridcells. NARR gridcells used for downscaling are a maximum distance of 90 km from the catchment and exclude gridcells on the maritime side of the ice divide. This choice captures the southeast-northwest precipitation gradient in the raw NARR data without including coastal gridcells that represent a different precipitation regime (see Robinson, 2024).

Site-specific corrected precip:

Downscaled precipitation is partitioned into rain and snow using a prescribed temperature threshold of 1ºC. Snow accumulation is bias corrected by multiplying downscaled accumulation by an elevation-dependent correction factor based on in-situ measurements from within the Kaskawulsh River headwaters (see Robinson et al. (2024)). Rain is not corrected in this dataset.
DOI: 10.5281/zenodo.14014495
title: Downscaled/bias-corrected precipitation for the Kaskawulsh River headwaters, Yukon, Canada.

description: This dataset contains North American Regional Reanalysis (NARR) precipitation, downscaled/bias-corrected for the Kaskawulsh River headwaters catchment in Yukon, Canada. 

There is 1 file per year, with dimensions (t, x, y) = 2920  x 230 x 329 (3-hourly timestep,  230 gridcells x 329 grid cells). Gridcells are 200m x 200m. 

Downscaled precip: 

NARR precipitation is downscaled following Young et al. (2021), using a regression-based approach from Guan et al. (2009) that relates NARR surface precipitation to the Easting, Northing and elevation of NARR gridcells. NARR gridcells used for downscaling are a maximum distance of 90 km from the catchment and exclude gridcells on the maritime side of the ice divide. This choice captures the southeast-northwest precipitation gradient in the raw NARR data without including coastal gridcells that represent a different precipitation regime (see Robinson, 2024).

Site-specific corrected precip:

Downscaled precipitation is partitioned into rain and snow using a prescribed temperature threshold of 1ºC. Snow accumulation is bias corrected by multiplying downscaled accumulation by an elevation-dependent correction factor based on in-situ measurements from within the Kaskawulsh River headwaters (see Robinson et al. (2024)). Rain is not corrected in this dataset.
DOI: 10.15468/dl.58wmy3
title: Occurrence Download

description: A dataset containing 1295 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"5103998","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 1295 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013045-241024112534372/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/9767558
title: BBC News