cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5522/04/22612576
title: Dawnn benchmarking dataset: Organoid processing and label simulation

description: This project is a collection of files to allow users to reproduce the model development and benchmarking in "Dawnn: single-cell differential abundance with neural networks" (Hall and Castellano, under review). Dawnn is a tool for detecting differential abundance in single-cell RNAseq datasets. It is available as an R package here. Please contact us if you are unable to reproduce any of the analysis in our paper. The files in this collection correspond to the benchmarking dataset based on single-cell RNAseq of bile duct organoids. <br> FILES: Input datasets Dataset from "Cholangiocyte organoids can repair bile ducts after transplantation in the human liver". Science 371(6531) pp. 839-846 (2021). <strong>E-MTAB-8495.aggregated_filtered_normalised_counts.mtx</strong> Single-cell RNAseq expresison matrix. <strong>E-MTAB-8495.aggregated_filtered_normalised_counts.mtx_cols</strong> Column names. <strong>E-MTAB-8495.aggregated_filtered_normalised_counts.mtx_rows</strong> Row names. Data processing code <strong>process_organoid_cells_data.R</strong> Generates benchmarking dataset from input data. (Reads <em>E-MTAB-8495.aggregated_filtered_normalised_counts.*</em> files; Runs the standard Seurat pipeline; Saves the resulting Seurat dataset as<em> organoid_cells.RDS</em>) <strong>simulate_organoid_labels_Rscript.R</strong> R code to simulate labels for benchmarking. <strong>simulate_organoid_labels_bash.sh </strong>Bash script to execute <em>simulate_organoid_labels_Rscript.R</em>. Outputs stored in <em>benchmark_dataset_organoid_labels.csv</em>. Resulting datasets <strong>organoid_cells.RDS</strong> Seurat dataset generated by <em>process_organoid_cells_data.R</em>. <strong>benchmark_dataset_organoid_labels.csv </strong>Cell labels generated by <em>simulate_organoid_labels_bash.sh</em>.
DOI: 10.5522/04/22612576.v1
title: Dawnn benchmarking dataset: Organoid processing and label simulation

description: This project is a collection of files to allow users to reproduce the model development and benchmarking in "Dawnn: single-cell differential abundance with neural networks" (Hall and Castellano, under review). Dawnn is a tool for detecting differential abundance in single-cell RNAseq datasets. It is available as an R package here. Please contact us if you are unable to reproduce any of the analysis in our paper. The files in this collection correspond to the benchmarking dataset based on single-cell RNAseq of bile duct organoids. <br> FILES: Input datasets Dataset from "Cholangiocyte organoids can repair bile ducts after transplantation in the human liver". Science 371(6531) pp. 839-846 (2021). <strong>E-MTAB-8495.aggregated_filtered_normalised_counts.mtx</strong> Single-cell RNAseq expresison matrix. <strong>E-MTAB-8495.aggregated_filtered_normalised_counts.mtx_cols</strong> Column names. <strong>E-MTAB-8495.aggregated_filtered_normalised_counts.mtx_rows</strong> Row names. Data processing code <strong>process_organoid_cells_data.R</strong> Generates benchmarking dataset from input data. (Reads <em>E-MTAB-8495.aggregated_filtered_normalised_counts.*</em> files; Runs the standard Seurat pipeline; Saves the resulting Seurat dataset as<em> organoid_cells.RDS</em>) <strong>simulate_organoid_labels_Rscript.R</strong> R code to simulate labels for benchmarking. <strong>simulate_organoid_labels_bash.sh </strong>Bash script to execute <em>simulate_organoid_labels_Rscript.R</em>. Outputs stored in <em>benchmark_dataset_organoid_labels.csv</em>. Resulting datasets <strong>organoid_cells.RDS</strong> Seurat dataset generated by <em>process_organoid_cells_data.R</em>. <strong>benchmark_dataset_organoid_labels.csv </strong>Cell labels generated by <em>simulate_organoid_labels_bash.sh</em>.
DOI: 10.5522/04/22607236
title: Dawnn benchmarking dataset: Keratinocytes processing and label simulation

description: This project is a collection of files to allow users to reproduce the model development and benchmarking in "Dawnn: single-cell differential abundance with neural networks" (Hall and Castellano, under review). Dawnn is a tool for detecting differential abundance in single-cell RNAseq datasets. It is available as an R package here. Please contact us if you are unable to reproduce any of the analysis in our paper. The files in this collection correspond to the benchmarking dataset based on single-cell RNAseq of keratinocytes. <br> FILES: Input data Dataset from "Short-Term Treatment with Rho-Associated Kinase Inhibitor Preserves Keratinocyte Stem Cell Characteristics In Vitro". Cells 12(3), 346 (2023). <strong>skin_data_end_pipeline_1458110522.rds</strong> RDS object file to load dataset. Data processing code <strong>simulate_skin_labels_Rscript.R</strong> R code to simulate labels for benchmarking. <strong>simulate_skin_labels_bash.sh</strong> Bash script to execute <em>simulate_skin_labels_Rscript.R</em>. Outputs stored in <em>benchmark_dataset_skin.csv</em>. Resulting datasets <strong>benchmark_dataset_skin.csv</strong> Cell labels generated by <em>simulate_skin_labels_bash.sh</em>.
DOI: 10.5522/04/22607236.v1
title: Dawnn benchmarking dataset: Keratinocytes processing and label simulation

description: This project is a collection of files to allow users to reproduce the model development and benchmarking in "Dawnn: single-cell differential abundance with neural networks" (Hall and Castellano, under review). Dawnn is a tool for detecting differential abundance in single-cell RNAseq datasets. It is available as an R package here. Please contact us if you are unable to reproduce any of the analysis in our paper. The files in this collection correspond to the benchmarking dataset based on single-cell RNAseq of keratinocytes. <br> FILES: Input data Dataset from "Short-Term Treatment with Rho-Associated Kinase Inhibitor Preserves Keratinocyte Stem Cell Characteristics In Vitro". Cells 12(3), 346 (2023). <strong>skin_data_end_pipeline_1458110522.rds</strong> RDS object file to load dataset. Data processing code <strong>simulate_skin_labels_Rscript.R</strong> R code to simulate labels for benchmarking. <strong>simulate_skin_labels_bash.sh</strong> Bash script to execute <em>simulate_skin_labels_Rscript.R</em>. Outputs stored in <em>benchmark_dataset_skin.csv</em>. Resulting datasets <strong>benchmark_dataset_skin.csv</strong> Cell labels generated by <em>simulate_skin_labels_bash.sh</em>.
DOI: 10.5517/ccdc.csd.cc281vsz
title: CCDC 2087161: Experimental Crystal Structure Determination

description: Related Article: Yufeng Xie|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7896805
title: Unedited photographs of Mycobacterium tuberculosis colonies to practice an image processing protocol

description: Unedited raw photographs in TIFF file format of <em>Mycobacterium tuberculosis </em>(Mtb) colonies grown in 7H10 agar plates inside a BSL-3 facility. To assay the bactericidal effect of different drug treatments, serial dilutions were performed per treatment in plate quadrants to ensure a countable range of colony-forming units (CFU). Each treatment has three replicates and a control without the antibacterial treatment. The plates were incubated until colonies grew to about 1–2 mm in size. Photographed using a Sony Alpha 7R II full-frame mirrorless color camera (7974 x 5316 pixels) under ambient laboratory lighting at a distance of 12–18 inches from the plates after placing the plates on a black background and behind the glass of the biosafety cabinet.
description: This research was supported by NIH Grant R01 AI50684.
DOI: 10.5281/zenodo.7896804
title: Unedited photographs of Mycobacterium tuberculosis colonies to practice an image processing protocol

description: Unedited raw photographs in TIFF file format of <em>Mycobacterium tuberculosis </em>(Mtb) colonies grown in 7H10 agar plates inside a BSL-3 facility. To assay the bactericidal effect of different drug treatments, serial dilutions were performed per treatment in plate quadrants to ensure a countable range of colony-forming units (CFU). Each treatment has three replicates and a control without the antibacterial treatment. The plates were incubated until colonies grew to about 1–2 mm in size. Photographed using a Sony Alpha 7R II full-frame mirrorless color camera (7974 x 5316 pixels) under ambient laboratory lighting at a distance of 12–18 inches from the plates after placing the plates on a black background and behind the glass of the biosafety cabinet.
description: This research was supported by NIH Grant R01 AI50684.
DOI: 10.20348/storedb/1177/1258
title: RadoNorm Subtask 6.3.1 - Citizen science pilot-project - Application in France - Documents - 2021~2022
title: Underlying Data RadoNorm WP 6 3 1 Citizen Science French pilot project

description: Annexe 1  Leaflet for the recruitment of participants (in French) Annexe 2  Questionnaire about the building self-assessment guide Annexe 3  Protocol to compare the building self-evaluation guide with an expert Annexe 4  Feedback questionnaire about the participation to the pilot-project Annexe 5  Adequation of the pilot-project with the ten principles in citizen science Annexe 6  Application form for ethical committee and data management plan Annexe 7  Data management plan Annexe 8  Information document and consent form Annexe 9 Slideshow prepared for and during the in person-meetings, 15 and 16 June 2022 (in French) Annexe 10  Radon expertise report from the visit performed 20 July 2022 (Cerema document) (in French) Annexe 11  Slideshow prepared for and validated after the final meeting, 22 July 2022 (in French) ****** Underlying data: Tab 'Questionnaire': response to the questionnaires (see Annexe 2), Tab 'Feedback questionnaire': responses to the feedback questionnaire (see Annexe 4) *******
description: Underlying data [Excel format]:  Tab 'Questionnaire': responses to the questionnaire (questionnaire is Annexe 2 of the Extended data);  Tab 'Feedback questionnaire': responses to the feedback questionnaire (the feedback questionnaire is Annexe 4 of the extended data).
DOI: 10.35078/mkxkve
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga | Município: Simonésia

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.6084/m9.figshare.20693116
title: ACCESS-CM2

description: This archive contains downscaled daily data from the ACCESS-CM2 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf ACCESS-CM2.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693116.v1
title: ACCESS-CM2

description: This archive contains downscaled daily data from the ACCESS-CM2 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf ACCESS-CM2.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693119
title: ACCESS-ESM1-5

description: This archive contains downscaled daily data from the ACCESS-ESM1-5 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf ACCESS-ESM1-5.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693119.v1
title: ACCESS-ESM1-5

description: This archive contains downscaled daily data from the ACCESS-ESM1-5 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf ACCESS-ESM1-5.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693122.v1
title: CESM2

description: This archive contains downscaled daily data from the CESM2 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CESM2.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693125
title: CanESM5

description: This archive contains downscaled daily data from the CanESM5 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CanESM5.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693122
title: CESM2

description: This archive contains downscaled daily data from the CESM2 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CESM2.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693125.v1
title: CanESM5

description: This archive contains downscaled daily data from the CanESM5 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CanESM5.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693128
title: BCC-CSM2-MR

description: This archive contains downscaled daily data from the BCC-CSM2-MR model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf BCC-CSM2-MR.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693131.v1
title: CIESM

description: This archive contains downscaled daily data from the CIESM model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CIESM.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP5-8.5
DOI: 10.6084/m9.figshare.20693131
title: CIESM

description: This archive contains downscaled daily data from the CIESM model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CIESM.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP5-8.5
DOI: 10.6084/m9.figshare.20693134
title: CNRM-CM6-1-HR

description: This archive contains downscaled daily data from the CNRM-CM6-1-HR model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CNRM-CM6-1-HR.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693134.v1
title: CNRM-CM6-1-HR

description: This archive contains downscaled daily data from the CNRM-CM6-1-HR model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CNRM-CM6-1-HR.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693137
title: AWI-CM-1-1-MR

description: This archive contains downscaled daily data from the AWI-CM-1-1-MR model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf AWI-CM-1-1-MR.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693137.v1
title: AWI-CM-1-1-MR

description: This archive contains downscaled daily data from the AWI-CM-1-1-MR model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf AWI-CM-1-1-MR.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693140
title: CESM2-WACCM

description: This archive contains downscaled daily data from the CESM2-WACCM model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CESM2-WACCM.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693140.v1
title: CESM2-WACCM

description: This archive contains downscaled daily data from the CESM2-WACCM model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CESM2-WACCM.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693143
title: CMCC-ESM2

description: This archive contains downscaled daily data from the CMCC-ESM2 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CMCC-ESM2.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693143.v1
title: CMCC-ESM2

description: This archive contains downscaled daily data from the CMCC-ESM2 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CMCC-ESM2.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693146
title: CAS-ESM2-0

description: This archive contains downscaled daily data from the CAS-ESM2-0 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CAS-ESM2-0.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693146.v1
title: CAS-ESM2-0

description: This archive contains downscaled daily data from the CAS-ESM2-0 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CAS-ESM2-0.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693149
title: CAMS-CSM1-0

description: This archive contains downscaled daily data from the CAMS-CSM1-0 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CAMS-CSM1-0.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014
DOI: 10.6084/m9.figshare.20693149.v1
title: CAMS-CSM1-0

description: This archive contains downscaled daily data from the CAMS-CSM1-0 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CAMS-CSM1-0.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014
DOI: 10.6084/m9.figshare.20693152.v1
title: CNRM-ESM2-1

description: This archive contains downscaled daily data from the CNRM-ESM2-1 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CNRM-ESM2-1.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693311
title: MCM-UA-1-0

description: This archive contains downscaled daily data from the MCM-UA-1-0 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf MCM-UA-1-0.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693152
title: CNRM-ESM2-1

description: This archive contains downscaled daily data from the CNRM-ESM2-1 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf CNRM-ESM2-1.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693314
title: TaiESM1

description: This archive contains downscaled daily data from the TaiESM1 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf TaiESM1.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.20693314.v1
title: TaiESM1

description: This archive contains downscaled daily data from the TaiESM1 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf TaiESM1.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP3-7.0, SSP5-8.5