cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10198621
title: Sequence/simulation data for Direct Prediction of Intrinsically Disordered Protein Conformational Properties From Sequence

description: This is a DOI-linked deposition of sequence/biophysical properties pairs used in the associated paper by Lotthammer et al:
Lotthammer, J. M.*, Ginell, G. M.*, Griffith, D.*, Emenecker, R. J. & Holehouse, A. S. Direct Prediction of Intrinsically Disordered Protein Conformational Properties From Sequence.Nature Methods (in press), (2023).
DOI: 10.5281/zenodo.10001841
title: Source data for "Feed-forward metabotropic signaling by Cav1 Ca2+ channels supports pacemaking in pedunculopontine cholinergic neurons"

description: Fig.1A_ChAT.tif
Confocal image (green channel, anti-ChAT staining) for Fig.1A
 
Fig.1A_tdTomato.tif 
Confocal image (red channel, tdTomato) for Fig.1A
 
Fig.1B_ChAT.tif
Confocal image (green channel, anti-ChAT staining) for Fig.1B
 
Fig.1B_tdTomato.tif
Confocal image (red channel, tdTomato) for Fig.1B
 
Fig.1C_DIC.png
Differential interference contrast micrograph for Fig.1C left
 
Fig.1C_Fluo.png
Epifluorescent illumination micrograph for Fig. 1C right
 
Fig.1DEH.xlsx
Numerical data for the charts in Fig. 1D, Fig.1E, Fig.1H
 
Fig.1F.tif
MAX projection of z-stack of 2PLSM images (red channel, Alexa 594) used to generate Fig.1F 
 
Fig.1F_inset.tif
2PLSM image (green channel, Fura-2) for the right inset of Fig.1F
 
Fig.2A_inset.tif
Confocal image (green channel, GFP) for the higher magnification inset of Fig.2A
 
Fig.2A.tif
Confocal image (green channel, GFP) for Fig.2A
 
Fig.2B_bottom.tif
Confocal image (green channel, GFP) for Fig.2B (bottom and overlay panels)
 
Fig.2B_top.tif
Confocal image (red channel, td Tomato) for Fig.2B (top and overlay panels)
 
Fig.2CE.xlsx
Numerical data for the charts in Fig. 2C, Fig. 2E
 
Fig.3B.tif
Confocal image (green channel, MitoGCaMP6) for Fig.3B and overlay in Fig.3D
 
Fig.3C.tif
Confocal image (red channel, tdTomato) for Fig.3C and overlay in Fig.3D
 
Fig.3E.tif
2PLSM image (green channel, MitoGCaMP6) for Fig.3E
 
Fig.3GIJ.xlsx
Numerical data for the charts in Fig. 3G, Fig. 3I, Fig.3J
 
Fig.4B.tif
2PLSM image (green channel, MitoGCaMP6) for Fig.4B
 
Fig.4DFG.xlsx
Numerical data for the charts in Fig.4D, Fig.4F, Fig.4G
 
Fig.5A.tif
Confocal image (green channel, PercevalHR) for Fig.5A and overlay in Fig.5C
 
Fig.5B.tif
Confocal image (red channel, tdTomato) for Fig.5B and overlay in Fig.5C
 
Fig.5D.tif
2PLSM image (green channel, PercevalHR) for Fig.5D
 
Fig.5GHJ.xlsx
Numerical data for the charts in Fig.5G, Fig.5H, Fig.5J
 
Fig.6BCD.xlsx
Numerical data for the charts in Fig.6b, Fig.6C, Fig.6D
 
Fig.7A.tif
Confocal image (green channel, mito-roGFP) for Fig.7A and overlay in Fig.7C
 
Fig.7B.tif
Confocal image (red channel, tdTomato) for Fig.7B and overlay in Fig.7C
 
Fig.7D.tif
2PLSM image (green channel, mito-roGFP) for Fig.7D
 
Fig.7F.xlsx
Numerical data for the charts in Fig.7F
DOI: 10.5281/zenodo.10001842
title: Source data for "Feed-forward metabotropic signaling by Cav1 Ca2+ channels supports pacemaking in pedunculopontine cholinergic neurons"

description: Fig.1A_ChAT.tif
Confocal image (green channel, anti-ChAT staining) for Fig.1A
 
Fig.1A_tdTomato.tif 
Confocal image (red channel, tdTomato) for Fig.1A
 
Fig.1B_ChAT.tif
Confocal image (green channel, anti-ChAT staining) for Fig.1B
 
Fig.1B_tdTomato.tif
Confocal image (red channel, tdTomato) for Fig.1B
 
Fig.1C_DIC.png
Differential interference contrast micrograph for Fig.1C left
 
Fig.1C_Fluo.png
Epifluorescent illumination micrograph for Fig. 1C right
 
Fig.1DEH.xlsx
Numerical data for the charts in Fig. 1D, Fig.1E, Fig.1H
 
Fig.1F.tif
MAX projection of z-stack of 2PLSM images (red channel, Alexa 594) used to generate Fig.1F 
 
Fig.1F_inset.tif
2PLSM image (green channel, Fura-2) for the right inset of Fig.1F
 
Fig.2A_inset.tif
Confocal image (green channel, GFP) for the higher magnification inset of Fig.2A
 
Fig.2A.tif
Confocal image (green channel, GFP) for Fig.2A
 
Fig.2B_bottom.tif
Confocal image (green channel, GFP) for Fig.2B (bottom and overlay panels)
 
Fig.2B_top.tif
Confocal image (red channel, td Tomato) for Fig.2B (top and overlay panels)
 
Fig.2CE.xlsx
Numerical data for the charts in Fig. 2C, Fig. 2E
 
Fig.3B.tif
Confocal image (green channel, MitoGCaMP6) for Fig.3B and overlay in Fig.3D
 
Fig.3C.tif
Confocal image (red channel, tdTomato) for Fig.3C and overlay in Fig.3D
 
Fig.3E.tif
2PLSM image (green channel, MitoGCaMP6) for Fig.3E
 
Fig.3GIJ.xlsx
Numerical data for the charts in Fig. 3G, Fig. 3I, Fig.3J
 
Fig.4B.tif
2PLSM image (green channel, MitoGCaMP6) for Fig.4B
 
Fig.4DFG.xlsx
Numerical data for the charts in Fig.4D, Fig.4F, Fig.4G
 
Fig.5A.tif
Confocal image (green channel, PercevalHR) for Fig.5A and overlay in Fig.5C
 
Fig.5B.tif
Confocal image (red channel, tdTomato) for Fig.5B and overlay in Fig.5C
 
Fig.5D.tif
2PLSM image (green channel, PercevalHR) for Fig.5D
 
Fig.5GHJ.xlsx
Numerical data for the charts in Fig.5G, Fig.5H, Fig.5J
 
Fig.6BCD.xlsx
Numerical data for the charts in Fig.6b, Fig.6C, Fig.6D
 
Fig.7A.tif
Confocal image (green channel, mito-roGFP) for Fig.7A and overlay in Fig.7C
 
Fig.7B.tif
Confocal image (red channel, tdTomato) for Fig.7B and overlay in Fig.7C
 
Fig.7D.tif
2PLSM image (green channel, mito-roGFP) for Fig.7D
 
Fig.7F.xlsx
Numerical data for the charts in Fig.7F
DOI: 10.21227/8g5j-g235
title: Raw Data of CSR on Twitter 2017-2022

description: TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.The dataset can be used in social media analysis for topic analysis and hashtag frequency analysis. Tweet IDs allow you to download the content of individual tweets from the Twitter social network. The dataset was used for a study that focused on the content of CSR communication in selected regions
DOI: 10.21227/hgsa-tq84
title: Raw Data of CSR on Twitter 2017-2022

description: TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.The dataset can be used in social media analysis for topic analysis and hashtag frequency analysis. Tweet IDs allow you to download the content of individual tweets from the Twitter social network. The dataset was used for a study that focused on the content of CSR communication in selected regions
DOI: 10.21227/vr8e-qc16
title: Raw Data of CSR on Twitter 2017-2022

description: TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.The dataset can be used in social media analysis for topic analysis and hashtag frequency analysis. Tweet IDs allow you to download the content of individual tweets from the Twitter social network. The dataset was used for a study that focused on the content of CSR communication in selected regions
DOI: 10.21227/w7ee-qf61
title: Raw Data of CSR on Twitter 2017-2022

description: TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.The dataset can be used in social media analysis for topic analysis and hashtag frequency analysis. Tweet IDs allow you to download the content of individual tweets from the Twitter social network. The dataset was used for a study that focused on the content of CSR communication in selected regions
DOI: 10.21227/6s16-2m66
title: Raw Data of CSR on Twitter 2017-2022

description: TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.The dataset can be used in social media analysis for topic analysis and hashtag frequency analysis. Tweet IDs allow you to download the content of individual tweets from the Twitter social network. The dataset was used for a study that focused on the content of CSR communication in selected regions
DOI: 10.21227/brqy-f009
title: Raw Data of CSR on Twitter 2017-2022

description: TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.The dataset can be used in social media analysis for topic analysis and hashtag frequency analysis. Tweet IDs allow you to download the content of individual tweets from the Twitter social network. The dataset was used for a study that focused on the content of CSR communication in selected regions
DOI: 10.5281/zenodo.10161152
title: Rundum-Fotos der sog. Wartburg-Quinterne zur Erstellung eines 3D-Modells mittels Photogrammetrie

description: Instrument: Quinterne Herkunftsland: Deutschland? Instrumentenzettel: "Hans Ot [zu?] / Nuremberg" Datierung: 15. Jahrhundert? Aufbewahrungsort: Eisenach, Wartburg Inventarnummer: KH50
Masse: Gesamtlänge: 689 mm Breite: 229 mm
Material: Korpus: Ahorn Decke: Fichte Rosette: Pergament Griffbrett: Birnbaum/Mooreiche Anhängestifte: Messing Wirbel: Ahorn Untersattel/Steg: Mahagoni mit Elfenbeineinlage
Fotos: Thilo Hirsch, 16.–16.8.2021
Technische Angaben zu den Fotos: Kamera: Nikon D7200 Farbraum: RGB Brennweite: 35 mm
Die Fotos wurden im RAW-Format (.nef) gemacht und müssen teilweise noch entsprechend aufgehellt werden, da für die Beleuchtung nur LED-Lampen verwendet werden konnten. Das erste Foto beinhaltet eine X-Rite Farbkarte für den Weissabgleich und die Farbkorrektur. Die Angaben zu Blendenzahl, Belichtungszeit und ISO-Empfindlichkeit finden sich in den einzelnen Bildinformationen.
Um einen Download Link zu bekommen, muss zuerst das Formular «request access» ausgefüllt und abgeschickt werden. Daraufhin bekommen Sie die Aufforderung, eine Genehmigung der Wartburg-Stiftung zur Verwendung der Daten einzuholen. Sobald diese vorliegt, wird der Download-Link verschickt.
DOI: 10.5281/zenodo.10161151
title: Rundum-Fotos der sog. Wartburg-Quinterne zur Erstellung eines 3D-Modells mittels Photogrammetrie

description: Instrument: Quinterne Herkunftsland: Deutschland? Instrumentenzettel: "Hans Ot [zu?] / Nuremberg" Datierung: 15. Jahrhundert? Aufbewahrungsort: Eisenach, Wartburg Inventarnummer: KH50
Masse: Gesamtlänge: 689 mm Breite: 229 mm
Material: Korpus: Ahorn Decke: Fichte Rosette: Pergament Griffbrett: Birnbaum/Mooreiche Anhängestifte: Messing Wirbel: Ahorn Untersattel/Steg: Mahagoni mit Elfenbeineinlage
Fotos: Thilo Hirsch, 16.–16.8.2021
Technische Angaben zu den Fotos: Kamera: Nikon D7200 Farbraum: RGB Brennweite: 35 mm
Die Fotos wurden im RAW-Format (.nef) gemacht und müssen teilweise noch entsprechend aufgehellt werden, da für die Beleuchtung nur LED-Lampen verwendet werden konnten. Das erste Foto beinhaltet eine X-Rite Farbkarte für den Weissabgleich und die Farbkorrektur. Die Angaben zu Blendenzahl, Belichtungszeit und ISO-Empfindlichkeit finden sich in den einzelnen Bildinformationen.
Um einen Download Link zu bekommen, muss zuerst das Formular «request access» ausgefüllt und abgeschickt werden. Daraufhin bekommen Sie die Aufforderung, eine Genehmigung der Wartburg-Stiftung zur Verwendung der Daten einzuholen. Sobald diese vorliegt, wird der Download-Link verschickt.
DOI: 10.6084/m9.figshare.24615774
title: Data for Subsystem Identification using Whole-system error

description: This is data which goes along with paper [INSERT PAPER NAME HERE].
DOI: 10.6084/m9.figshare.24615774.v1
title: Data for Subsystem Identification using Whole-system error

description: This is data which goes along with paper [INSERT PAPER NAME HERE].
DOI: 10.5281/zenodo.10144752
title: Rundum-Fotos des sog. Rebecchino im Kunsthistorischen Museum Wien, SAM 433 zur Erstellung eines 3D-Modells mittels Photogrammetrie

description: Instrument: [rubechetta (piccola)] Museumsbezeichnung: Rebecchino Herkunftsland: Italien (?)Hersteller: Anonymus Datierung: 15. Jahrhundert (?) Aufbewahrungsort: Wien, Kunsthistorisches Museum, Sammlung alter Musikinstrumente Inventarnummer: SAM 433
Hüllmasse (Museumsangabe): 375 x 90 x 65 mm
Material: Korpus: Birnbaum (?)
Fotos: Thilo Hirsch, 9.–10.12.2019
Technische Angaben zu den Fotos: Kamera: Nikon D7200 Farbraum: RGB Brennweite: 35 mm
Die Fotos wurden im RAW-Format gemacht und müssen teilweise noch entsprechend aufgehellt werden, da für die Beleuchtung nur LED-Lampen verwendet wurden. Das erst Foto (0_Rebecchino_Wien_SAM_433_TH_X-Rite_Farbkarte) beinhaltet eine X-Rite Farbkarte für den Weissabgleich und die Farbkorrektur. Die Angaben zu Blendenzahl, Belichtungszeit und ISO-Empfindlichkeit finden sich in den einzelnen Bildinformationen.
Bibliografie: Thilo Hirsch, Marina Haiduk, "Mehr Aug' als Ohr? Das Rebecchino im Kunsthistorischen Museum Wien", in: Glareana 2020, H. 2, S. 7–35. http://www.gefam.ch/content/page07.GLAREANA/Archiv/2020-2.pdf
Um einen Download Link zu bekommen, muss zuerst das Formular «request access» ausgefüllt und abgeschickt werden. Daraufhin bekommen Sie die Aufforderung, eine Genehmigung des Kunsthistorischen Museums Wien, Sammlung alter Musikinstrumente zur Verwendung der Daten einzuholen. Sobald diese vorliegt, wird der Download-Link verschickt.
DOI: 10.5281/zenodo.10144751
title: Rundum-Fotos des sog. Rebecchino im Kunsthistorischen Museum Wien, SAM 433 zur Erstellung eines 3D-Modells mittels Photogrammetrie

description: Instrument: [rubechetta (piccola)] Museumsbezeichnung: Rebecchino Herkunftsland: Italien (?)Hersteller: Anonymus Datierung: 15. Jahrhundert (?) Aufbewahrungsort: Wien, Kunsthistorisches Museum, Sammlung alter Musikinstrumente Inventarnummer: SAM 433
Hüllmasse (Museumsangabe): 375 x 90 x 65 mm
Material: Korpus: Birnbaum (?)
Fotos: Thilo Hirsch, 9.–10.12.2019
Technische Angaben zu den Fotos: Kamera: Nikon D7200 Farbraum: RGB Brennweite: 35 mm
Die Fotos wurden im RAW-Format gemacht und müssen teilweise noch entsprechend aufgehellt werden, da für die Beleuchtung nur LED-Lampen verwendet wurden. Das erst Foto (0_Rebecchino_Wien_SAM_433_TH_X-Rite_Farbkarte) beinhaltet eine X-Rite Farbkarte für den Weissabgleich und die Farbkorrektur. Die Angaben zu Blendenzahl, Belichtungszeit und ISO-Empfindlichkeit finden sich in den einzelnen Bildinformationen.
Bibliografie: Thilo Hirsch, Marina Haiduk, "Mehr Aug' als Ohr? Das Rebecchino im Kunsthistorischen Museum Wien", in: Glareana 2020, H. 2, S. 7–35. http://www.gefam.ch/content/page07.GLAREANA/Archiv/2020-2.pdf
Um einen Download Link zu bekommen, muss zuerst das Formular «request access» ausgefüllt und abgeschickt werden. Daraufhin bekommen Sie die Aufforderung, eine Genehmigung des Kunsthistorischen Museums Wien, Sammlung alter Musikinstrumente zur Verwendung der Daten einzuholen. Sobald diese vorliegt, wird der Download-Link verschickt.
DOI: 10.5281/zenodo.10198708
title: Customers experiencing a power outage in counties of California, 2019

description: This dataset includes the long form of the time series from 2019/01/01 to 2019/12/31, showing the number of customers who are experiencing a power outage at the city and county level in the State of California, USA. The time series is divided into 10-min intervals. The original data source is poweroutage.us, a data vendor of power outage data across the United States.
Power outage long-form time series at the county level are provided in the form of CSV files. Each file contains data for the entire county.
DOI: 10.5281/zenodo.10198709
title: Customers experiencing a power outage in counties of California, 2019

description: This dataset includes the long form of the time series from 2019/01/01 to 2019/12/31, showing the number of customers who are experiencing a power outage at the city and county level in the State of California, USA. The time series is divided into 10-min intervals. The original data source is poweroutage.us, a data vendor of power outage data across the United States.
Power outage long-form time series at the county level are provided in the form of CSV files. Each file contains data for the entire county.
DOI: 10.5066/p9ar7y02
title: MODFLOW-NWT models and calibration files for the Mississippi Alluvial Plain, USA

description: The existing three-dimensional groundwater flow model (MODFLOW-2005) of the Mississippi Embayment Regional Aquifer system (MERAS), South-Central United States, was updated with: 1) higher stream density; 2) more spatially refined recharge; 3) better estimates of water use; 4) more recent time period simulated; 5) more realistic storage conceptualization; and 6) more robust handling of dry nodes through use of MODFLOW-NWT. For this study, the MODFLOW-NWT groundwater flow model was used to evaluate four parameter estimation algorithms with lower computational burdens. This work was performed to update the previous version of the MERAS groundwater flow model for decision making in the Mississippi Alluvial Plain (MAP), USA.This USGS data release contains all of the input and output to run the model simulations described in the associated Hunt et al. (2021) journal article (https://doi.org/10.1111/gwat.13106).
DOI: 10.34683/sr207
title: StoneRounds Case: SR207
title: AD Retinitis Pigmentosa

description: StoneRounds Case SR207 was diagnosed with AD Retinitis Pigmentosa likely caused by mutations in the gene: RHO.
DOI: 10.5519/qd.1v8icqkr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1904 records)
DOI: 10.5281/zenodo.10198810
title: Supporting Data - The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production

description: This dataset contains all case input and outputs for the analysis done in The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production.
DOI: 10.5281/zenodo.10198811
title: Supporting Data - The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production

description: This dataset contains all case input and outputs for the analysis done in The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production.
DOI: 10.5066/p9qsjv1l
title: Drilling, construction, geophysical data, and lithologic log for borehole USGS 145

description: During 2017 and 2018, the U.S. Geological Survey (USGS) Idaho National Laboratory Project Office, in cooperation with the U.S. Department of Energy (DOE), drilled and constructed borehole USGS 145 (USGS site 433358113042701) for hydrogeologic data collection and stratigraphic framework analyses. The well is located along the western boundary of the Idaho National Laboratory (INL) just south of highway 20. USGS 145 was continuously cored from approximately 3 to 1,368 feet below land surface (BLS), and had water level of 704.73 ft BLS directly after drilling. Core was recovered over a two-year period, this includes cored depths from 3 to 678 ft between May 30, 2017,and November 13, 2017, and from 678 to 1,368 ft between May 17, 2018 and July 12, 2018. After coring was completed, the USGS collected geophysical data and finished construction as a dual piezometer well. The general purpose for the drilling and construction of USGS 145 was to improve the understanding of hydrogeology in the west-central part of the INL and to collect geologic data from recovered core. The well is equipped with a 1-in. stainless steel piezometer line and a 0.75-in. stainless steel piezometer line set down to 1,304 and 1,037 ft BLS, respectively. The well was filled with silica sand and cement grout from 740 to 1,368 ft BLS, encasing the piezometer screened intervals of 1,017 to 1,037 ft BLS and 1,277 to 1,297 ft BLS. The USGS collected select geophysical data, daily drilling notes, and detailed core descriptions to 1,368 ft BLS, which are included as part of this data release. The USGS collected geophysical source and deviation logs through drill casing on July 16, 2018 and additional open borehole logs on July 24, 2018. Geophysical data were collected using Century? multi-parameter logging probes. Geophysical data include natural gamma (tool 9057A), neutron, gamma-gamma density (tool 0024C), and acoustic televiewer (ATV) logs (tool 9804A) which were examined synergistically with available core material to identify contacts between basalt flows and location and thickness of sediment layers. These logs are displayed in the file USGS145_Geophysical_Logs.pdf. Additionally, a gyroscopic deviation survey (tool 9095C) was set to collect data at 0.2-ft increments and used to display the projected well bore path and as displayed in plan view in file USGS145_PlanView_Gyro.pdf and associated well path file USGS145_9095Gyro.asc. Geophysical log data can be obtained by downloading attached LAS files or by visiting USGS - GeoLog Locator. Borehole core from USGS 145 is archived at the USGS Lithologic Core Storage Library located at Central Facilities Area, INL. Drill core was photographed and described using the standardized methods of Johnson and others, 2005. These standardized methods make use of commercially available software that include using a procedure developed by the USGS INL Project Office. The standardized method maximizes description and minimizes interpretation of the borehole core.
DOI: 10.5281/zenodo.10198891
title: Integrated single-cell RNA-sequencing data of unwounded and wounded mouse skin and fibroblasts.

description: This repository contains the .h5ad files that store the integrated scRNA-seq data we generated for the work, Almet et al. (2023), "Fibroblasts evolve in single-cell state to drive extracellular matrix and signaling changes across wound healing", to be published in the Journal of Investigative Dermatology.
The integrated* files contain both raw counts, normalized counts, as well as unspliced and spliced count estimates that were obtained using kallisto|bustools and velocyto. We integrated the data from the following published datasets:

Phan et al. (2021): Unwounded P21 mice and small wound P21 + 7 mice
Haensel et al. (2020): Unwounded P49 mice and small wound P49 + 4 mice
Guerrero-Juarez et al. (2019): Large wound day 12 mice
Abbasi et al. (2020): Large wound day 14 mice
Gay et al. (2020): Large wound fibrotic (hairless) and regenerative (hair follicle neogenesis) day 18 mice
The unwounded_* files were used to briefly integrated unwounded skin scRNA-seq from mouse models of different ages that have been used to analyze wound healing in Haensel et al. (2020), Phan et al. (2021), and Vu et al. (2022), which generated scRNA-seq for unwounded skin from mice aged P21, P49, and P616, respectively. 
The data can be loaded using the Python package Scanpy or AnnData, but you can also load it in R if you use zellkonverter.