cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7266/4vn3xzdq
title: Geospatial model output of the coastal wetland landscape change modeling under two projected sea level rise scenarios along the Texas Coast
DOI: 10.7266/63e0mvvs
title: Global PyGEM-OGGM Glacier Projections with SSP Scenarios, Version 2
DOI: 10.7266/0h938447
title: Stable isotope analysis of macronekton, micronekton, zooplankton, primary producers, and shrimp collected within Matagorda Bay, Texas from 2020-03-06 to 2022-09-09
DOI: 10.7266/nzbt9gbx
title: Ensemble of Deepwater Horizon 2010 oil spill simulations using the oil-CMS model to estimate surface oil concentrations and sedimented oil mass
DOI: 10.7266/6vaq9yeh
title: CTD and spectroradiometer water quality data, Western Mississippi Sound, January 2024-December 2024
DOI: 10.7266/8a2xrm9k
title: Coral images collected to assess the effects of the Deepwater Horizon spill and natural seepage, Gulf of Mexico, DSV Ocean Inspector and MSV Ocean Intervention II cruises, from 2016-09-17 to 2016-10-05 and from 2017-06-09 to 2017-06-17
DOI: 10.7266/k1bvn6q3
title: Geospatial model output of land cover change and storm surge impacts under projected sea level rise and category 2 hurricanes along the Texas Coast
DOI: 10.7266/gbcngjqf
title: Ocean volume transport from mooring observations across Yucatan Channel, Mexico from 2018-07-31 to 2020-07-31
DOI: 10.7266/n76m34wx
title: Modeling study of the submesoscale transport properties of mesoscale anticyclones
DOI: 10.7266/zs2f74bj
title: Mapping land cover area and width from 1850-2020 within West Matagorda Bay, Texas
DOI: 10.7266/7pvp5zc1
title: Identification with metabarcoding of fish eggs collected aboard the R/V Hogarth from 2019-08-06 to 2019-09-26 on the west Florida shelf
DOI: 10.7266/ftnhpz5b
title: Observations of currents and waves collected with acoustic Doppler current profilers western Mississippi Sound
DOI: 10.7266/w6fbawq4
title: Spill Risk Assessment from 1950–2100
DOI: 10.7266/gw5dnwpd
title: Pelagic sargassum accumulations along the shoreline and nearshore waters in La Parguera, Puerto Rico from 2015-09-16 to 2022-01-22
DOI: 10.7266/j7qzhk64
title: Data identifying fish eggs obtained from oceanographic cruises in west Florida from 2013-09-13 to 2014-09-27 with sequences of the mitochondrial gene
DOI: 10.7266/jw38s880
title: Parameterization and output files for Atlantis-ICHTHYOP turtle simulations and seagrass carrying capacity simulations
DOI: 10.7266/n7kk996c
title: Chemistry data associated with shoreline sediment and soil samples collected in the Gulf of Mexico from 2010-04-29 through April 2010 through 2012-12-09
DOI: 10.7266/n779433s
title: Data inputs for beached bird assessment from northern Gulf of Mexico waters and shorelines in Texas, Louisiana, Mississippi, Alabama, and Florida, 2010-05-17 - 2011-08-19
DOI: 10.7266/6s85b14r
title: Physical Model of the Mississippi Sound and Bight from 2016-07-14 to 2016-08-14 with Low-pass Filtered Meteorological Forcing
DOI: 10.7266/eagwt2sa
title: Chemical tracers in Mississippi Sound water samples collected from 2018-10-28 to 2021-12-07
DOI: 10.5517/ccdc.csd.cc2gxncf
title: CCDC 2291655: Experimental Crystal Structure Determination

description: Related Article: Hanjun Yang, Sagarmoy Mandal, Yoon Ho Lee, Jee Yung Park, Han Zhao, Chongli Yuan, Libai Huang, Ming Chen, Letian Dou|2023|J.Am.Chem.Soc.|145|23963|doi:10.1021/jacs.3c05745
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: 10.7266/adgh8vgh
title: Dataset for: A Coupled Lagrangian-Earth System Model for Predicting Oil Photooxidation
DOI: 10.7266/tg99t9r7
title: Fish egg sequences for the Spawning Habitat and Early-Life Linkages to Fisheries (SHELF) project, northern Gulf of Mexico on 2017-07-17
DOI: 10.7266/xc2aeypa
title: Physical Model of the Mississippi Sound and Bight from 2016-03-17 to 2016-04-23 with Low-pass Filtered Meteorological Forcing
DOI: 10.7266/ybcxw1sr
title: Modeled impacts of channel dredging on storm surge produced by Category 4 hurricanes in Corpus Christi Bay, Texas  - Storm 319
DOI: 10.7266/f8j2ax0f
title: Physical Model of the Mississippi Sound and Bight from 2015-10-01 to 2015-11-10 with Low-pass Filtered Meteorological Forcing
DOI: 10.7266/peb15y1n
title: Modeled impacts of channel dredging on storm surge produced by a Category 4 hurricanes in Corpus Christi Bay – Storm 414
DOI: 10.7266/v1hwhhf5
title: Geohazards map of the Texas coast under two projected sea level rise scenarios
DOI: 10.5517/ccdc.csd.cc2gql1v
title: CCDC 2285817: Experimental Crystal Structure Determination

description: Related Article: Natalí Navarro, Claudia Núñez, Darío Espinoza, Karem Gallardo, Ivan Brito, Rodrigo Castillo|2023|Inorg.Chem.|62|17046|doi:10.1021/acs.inorgchem.3c02574
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: 10.7266/9yxdwch4
title: Chemical composition data of Mississippi Sound surface seawater and groundwater samples collected along the coastline, from 2017-07-28 to 2019-11-13
DOI: 10.7266/z00h6b2x
title: Quantification and source tracking data of surficial nutrients to Baffin Bay, Texas obtained from 2021-05-13 to 2022-05-25
DOI: 10.7266/pzvmp340
title: Aerial drone imagery of coastal areas of Grand Isle, Louisiana, 2017-04-18 and 2017-04-22
DOI: 10.7266/n7br8qmw
title: Community Air Sampling and Monitoring Data
DOI: 10.7266/n7-zt7g-sq80
title: The assembled and annotated genome of a male marsh rice rat (Oryzomys palustris) collected from Barataria Bay, Louisiana in 2015
DOI: 10.7266/n7qz28ck
title: Breeding shorebird observation data including degree of oiling for shorebirds in Louisiana, Mississippi, Alabama, and Texas, 2010-2011
DOI: 10.7266/zzfm44t2
title: Soil Water Assessment Tool (SWAT) model input dataset for the Baffin Bay watershed, Texas, 1998-01-01 - 2020-12-31
DOI: 10.7266/vbnxjk5g
title: High-resolution Gulf of Mexico sea surface height downscaled from 10 km global FOSI simulation for 1993-01-01 to 2007-10-13
DOI: 10.7266/n7cn729w
title: Raw acoustic scattering data of organisms from the water column, cruise DP03 (R/V Point Sur PS16-03), 2016-04-30 - 2016-05-13
DOI: 10.7266/60d3dggj
title: HUD Income Limits by household size for the year 2019 for all states and some overseas territories of the United States
DOI: 10.7266/b35tpmpa
title: Radiographic assessment of pectoral fin bone maturation in bottlenose dolphins (Tursiops truncatus), as a novel technique to accurately estimate chronological age
DOI: 10.7266/ex6xqek7
title: High resolution habitat map of West Matagorda Bay, Texas, derived from WorldView-2 satellite imagery and lidar data, 2012-2019
DOI: 10.7266/n7-q8s5-b255
title: ZooScan zooplankton image data, Walton Smith 4, WS4, NRDA plankton survey research cruise in the Gulf of Mexico, 2011-04-20 to 2011-05-27
DOI: 10.7266/n7-fv29-qv40
title: ZooScan image data of zooplankton collected during a cruise aboard the Walton Smith 1 in the northern Gulf of Mexico from 2010-09-09 to 2010-09-16
DOI: 10.7266/2k9enkgw
title: Environmental Sensitivity Index (ESI) of the Texas coast using 2009 imagery
DOI: 10.7266/hqzqynjs
title: PRISM temperature data
DOI: 10.7266/n7-1crg-tc37
title: ZooScan zooplankton image data, Walton Smith 3, WS3, NRDA plankton survey research cruise in the Gulf of Mexico, R/V F.G. Walton Smith WS1017, 2010-09-26 to 2010-10-01
DOI: 10.7266/fmz6065v
title: Soil Water Assessment Tool (SWAT) model output for sub-basins within the Baffin Bay watershed, Texas
DOI: 10.7266/vwry1w58
title: Spatial and temporal outputs of the Sediment and Water Assessment Tool (SWAT) model over the Baffin Bay watershed, Texas
DOI: 10.7266/07aa44yk
title: Cumulative health risk map
DOI: 10.7266/871n5pg0
title: Atlantic Hurricane Database (HURDAT2)
DOI: 10.17632/gbfgn8kfh8.1
title: Discovery of non-genomic drivers of yap signaling modulating the cell plasticity in CRC tumor lines

description: In normal intestine, fetal/regenerative/revival cell state can be induced upon inflammation. This plasticity in cell fate is also one of the current topics in human colorectal cancer (CRC). To dissect the underlying mechanisms, we generated human CRC organoids with naturally selected genetic mutation and exposed them to two different conditions by modulating the extracellular matrix (ECM). Among tested mutation profile, fetal/regenerative/revival states were induced following YAP activation when CRC cells were cultured using collagen type I-enriched scaffold compared to when cultured in laminin-enriched Matrigel. YAP transcription was promoted by activation of AP-1 and TEAD-dependent transcription and suppression of intestinal lineage-determining transcription via mechanotransduction. The phenotypic conversion was also involved in chemoresistance, which could be potentially resolved by targeting the underlying the YAP regulatory elements. YAP regulatory mechanism via mechanotransduction is a potential target of CRC treatment.
DOI: 10.24431/rw1k8e0
title: Accelerometer data of adult Pacific halibut discarded at sea: Field experiments off Sitka, AK and Seward, AK in June 2021

description: Acceleration-logging survivorship pop-up archival transmitting tags (sPAT) from Wildlife Computers Inc. were used to assess the survival of Pacific halibut discarded at sea from the recreational fishery. The data include accelerometer data from a total of 80 sPATs that were pre-programmed to detach and report after 96 days at liberty during field experiments conducted off Seward, AK in June 2021. Once detached from the fish, tags float to the surface and transmit data via satellite. Data represent the number of knockdowns (i.e. tilts) for each tag during each binning period that the tag recorded, with an indication of the days at liberty (i.e. time between deployment and reporting). The file format is a csv file.
DOI: 10.6084/m9.figshare.21640763
title: Source data for Manuscript "Adaptation of sequential action benefits from timing variability related to lateral basal ganglia circuitry"

description: BEHAVIOURAL DATA Med-PC software was used to direct the insertion and retraction of the levers, illumination of the light and delivery of the pellets. The software allowed the recording of timestamp events each 10 msec, including the number of lever presses, magazine entries and food pellets delivered throughout the duration of the experiment. A combination of Med State Notation language and customized MATLAB (MathWorks, Natick, MA) scripts were used to retrieve timestamp data. Individual events (left or right lever press, magazine entries, and pellet delivery) that occurred during each training session were recorded. The time at which each event occurred was stamped with a 10 ms resolution. IMAGING DATA Fluorescent brain sections were imaged using a spinning disk confocal system equipped with the Diskovery multi-modal imaging platform (Andor Technology) and a Zyla 4.2 sCMOS camera (Andor Technology), that allows fast capture of large mosaic images and high-sensitivity high dynamic range imaging. The Diskovery platform was added to a Nikon Eclipse TiE microscope body with a motorized stage and the Nikon Perfect Focus System, and image acquisition was controlled by Nikon NIS-Elements software. Single high-magnification wide field-of-view images for each brain hemisphere were generated by automatically stitching multiple adjacent frames from within a defined area using the motorized stage. High-resolution mosaics of brain samples obtained with NIS-Elements were quantitatively analyzed using Fiji software. Resulting neuronal data, including position (x, y coordinates), area and mean grey value for each detected ROI, were exported in a tab-delimited spreadsheet format and imported into MATLAB.
DOI: 10.5519/qd.eo5k94a5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (885 records)
DOI: 10.34740/kaggle/dsv/7633851
title: BBC News
DOI: 10.22002/cdeer-7ah33
title: Dataset: A genetic screen identifies C. elegans eif-3.H and hrpr-1 as pro-apoptotic genes and potential activators of egl-1 expression

description: egl-1 activator candidates
DOI: 10.22002/fjp7q-n1732
title: Dataset: A genetic screen identifies C. elegans eif-3.H and hrpr-1 as pro-apoptotic genes and potential activators of egl-1 expression

description: List of RBP genes in C. elegans
DOI: 10.22002/yspxf-ram42
title: Dataset: A genetic screen identifies C. elegans eif-3.H and hrpr-1 as pro-apoptotic genes and potential activators of egl-1 expression

description: Analysis of C. elegans RNA-binding proteins. (A) Overlap analysis of RNA-binding protein (RBP)-encoding genes reported by Tamburino et al., (2013) and Matia-Gonzalez et al., (2015). (B) Pipeline for RBP gene analyses, characterization, and selection.
DOI: 10.48511/kvf4-bv12
title: Upper Wilson Creek Hydrometric

description: This dataset contains hydrometric and water temperature data for Upper Wilson Creek hydrometric station. This site is part of the Living Lakes Canada Columbia Basin Water Monitoring Framework program. Upper Wilson Creek was selected to monitor an important tributary to Slocan Lake, as identified by the Local Reference Group. This watershed is also glacially fed in its upper reaches. The data is being collected to track the impacts of climate change on Columbia Basin water supply and support community climate adaptation. Monitoring has been implemented on this site. Data will be added soon.

Funding provided by the Province of BC, Healthy Watersheds Initiative partners (Stronger BC, Real Estate Foundation of BC, Watersheds BC), Province of BC, Columbia Basin Trust, Canada’s Digital Technology Supercluster partners (Carl Data Solutions, Teck Resources Ltd., Microsoft, Astra Smart Systems, i4C Innovation, the University of Victoria and Genome BC), MakeWay, RBC Tech for Nature, Regional District of Central Kootenay, Sitka Foundation, Slocan Valley Legacy Fund, and the Vancouver Foundation.
DOI: 10.6084/m9.figshare.25211561
title: ChatGPT.3.5.-Generated profiles

description: This project includes 60 samples of Tinder profiles created by ChatGPT-3.5. in response to the cue: "Create a Tinder profile of a heterosexual/gay/lesbian man/woman based in the US" (15 profiles from each kind). Information was retrieved on November 26, 2023.
DOI: 10.6084/m9.figshare.25211561.v1
title: ChatGPT.3.5.-Generated profiles

description: This project includes 60 samples of Tinder profiles created by ChatGPT-3.5. in response to the cue: "Create a Tinder profile of a heterosexual/gay/lesbian man/woman based in the US" (15 profiles from each kind). Information was retrieved on November 26, 2023.
DOI: 10.5281/zenodo.10668820
title: Code and data for Sievers et al 2024 One Earth. Enhanced but highly variable biodiversity outcomes from coastal restoration: a global synthesis
DOI: 10.5281/zenodo.10668821
title: Code and data for Sievers et al 2024 One Earth. Enhanced but highly variable biodiversity outcomes from coastal restoration: a global synthesis
DOI: 10.6084/m9.figshare.25226936
title: ChatGPT-3.5 Tinder profiles (control variables: race, age, nationality, socioeconomic & educational background, state in the US)

description: These files include the content generated by ChatGPT-3.5. on November 2023 when asked to create Tinder profiles with certain characteristics race, age, nationality, socioeconomic & educational background, state in the US.
DOI: 10.6084/m9.figshare.25226936.v1
title: ChatGPT-3.5 Tinder profiles (control variables: race, age, nationality, socioeconomic & educational background, state in the US)

description: These files include the content generated by ChatGPT-3.5. on November 2023 when asked to create Tinder profiles with certain characteristics race, age, nationality, socioeconomic & educational background, state in the US.
DOI: 10.6084/m9.figshare.25229411
title: Simulation data, model 1, mdot=0.35

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> and <i>Render images</i> folders in this project.Description of filesarchive.?.tar.bz2<br>Binary files compressed with bzip2 protocol. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.6084/m9.figshare.25229411.v2
title: Simulation data, model 1, mdot=0.35

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> and <i>Render images</i> folders in this project.Description of filesarchive.?.tar.bz2<br>Binary files compressed with bzip2 protocol. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.6084/m9.figshare.25229411.v1
title: Simulation data, model 1, mdot=0.35

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> and <i>Render images</i> folders in this project.Description of filesarchive.?.tar.bz2<br>Binary files compressed with bzip2 protocol. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.6084/m9.figshare.25230119
title: ATAC.TACC1.RARg.veh.bw

description: ATAC.Seq in 22Rv1 cells expressing RARg and TACC1
DOI: 10.6084/m9.figshare.25230119.v1
title: ATAC.TACC1.RARg.veh.bw

description: ATAC.Seq in 22Rv1 cells expressing RARg and TACC1
DOI: 10.6084/m9.figshare.25230134
title: ATAC.RARg.veh.bw

description: ATAC-Seq in 22Rv1 cells expressing RARg and TACC1
DOI: 10.6084/m9.figshare.25230134.v1
title: ATAC.RARg.veh.bw

description: ATAC-Seq in 22Rv1 cells expressing RARg and TACC1
DOI: 10.6084/m9.figshare.25230230.v1
title: Mock.AR.veh.bw

description: CUT&RUN for AR in 22Rv1 cells treated with vehicle
DOI: 10.6084/m9.figshare.25230230
title: Mock.AR.veh.bw

description: CUT&RUN for AR in 22Rv1 cells treated with vehicle
DOI: 10.48511/5zsc-cg07
title: Dunbar Creek Hydrometric

description: This dataset contains hydrometric and water temperature data for Dunbar Creek hydrometric station. This site is part of the Living Lakes Canada Columbia Basin Water Monitoring Framework program. Dunbar Creek was selected for monitoring the contribution of small tributaries to the Columbia Wetlands. Dunbar Creek is also glacier fed. The data is being collected to track the impacts of climate change on Columbia Basin water supply and support community climate adaptation. Monitoring has been implemented on this site. Data will be added soon.

Funding provided by the Province of BC, Healthy Watersheds Initiative partners (Stronger BC, Real Estate Foundation of BC, Watersheds BC), Province of BC, Columbia Basin Trust, Canada’s Digital Technology Supercluster partners (Carl Data Solutions, Teck Resources Ltd., Microsoft, Astra Smart Systems, i4C Innovation, the University of Victoria and Genome BC), MakeWay, RBC Tech for Nature, Regional District of Central Kootenay, Sitka Foundation, and the Vancouver Foundation.
DOI: 10.5281/zenodo.10106303
title: Regulation of Dye-decolorizing Peroxidases Gene Expression in Pleurotus ostreatus Grown on Glycerol as the Carbon Source

description: This dataset contains the raw data and code necessary to reproduce the results of: Regulation of dye peroxidas gene expression in Pleurotus ostreatus grown on glycerol as the carbon source.

 

These data are also available at github: JLuisCuamatzi/Pleurotus_ostreatus_CarbonSources: Data and scripts to reproduce the analysis performed at Regulation of dye peroxidas gene expression in Pleurotus ostreatus grown on glycerol as the carbon source (github.com)
description: The photos of Figure 1A and Figure 1B can be found in the file "Figure_1a_1b.pdf"

The data for the mycelial growth rate can be found in the file "Data_MycelialGrowthRate.xlsx"

The data for Figures 2, 3, and 5 can be found in the file named "Data_PleosGrowthCurves_CarbonConsumption_EnzymaticActivity.csv." To analyze this dataset, you can use the R MarkDown script titled "Figures_Pleos_GrowthCurves_CarbonConsumption_EnzymaticActivity.Rmd."

For Figure 4, the corresponding data is available in the Excel file named "Data_DecolorizationAYG.xlsx."

As for Figure 6, the relevant data is provided in the Excel file named "Data_GeneExpression_Pleos-DyeP.xlsx." To process this dataset, you can utilize the R script named "Figure6_HeatMapGeneExpression.R."

The data of UV/Vis for AYG degradation is available at "Data_AYG_Degradation_UVVis.xsls"
DOI: 10.5281/zenodo.10631490
title: Regulation of Dye-decolorizing Peroxidases Gene Expression in Pleurotus ostreatus Grown on Glycerol as the Carbon Source

description: This dataset contains the raw data and code necessary to reproduce the results of: Regulation of dye peroxidas gene expression in Pleurotus ostreatus grown on glycerol as the carbon source.

 

These data are also available at github: JLuisCuamatzi/Pleurotus_ostreatus_CarbonSources: Data and scripts to reproduce the analysis performed at Regulation of dye peroxidas gene expression in Pleurotus ostreatus grown on glycerol as the carbon source (github.com)
description: The photos of Figure 1A and Figure 1B can be found in the file "Figure_1a_1b.pdf"

The data for the mycelial growth rate can be found in the file "Data_MycelialGrowthRate.xlsx"

The data for Figures 2, 3, and 5 can be found in the file named "Data_PleosGrowthCurves_CarbonConsumption_EnzymaticActivity.csv." To analyze this dataset, you can use the R MarkDown script titled "Figures_Pleos_GrowthCurves_CarbonConsumption_EnzymaticActivity.Rmd."

For Figure 4, the corresponding data is available in the Excel file named "Data_DecolorizationAYG.xlsx."

As for Figure 6, the relevant data is provided in the Excel file named "Data_GeneExpression_Pleos-DyeP.xlsx." To process this dataset, you can utilize the R script named "Figure6_HeatMapGeneExpression.R."

The data of UV/Vis for AYG degradation is available at "Data_AYG_Degradation_UVVis.xsls"
DOI: 10.6084/m9.figshare.25230233
title: Mock.AR.DHT.bw

description: CUT&RUN for AR in 22Rv1 cells treated with DHT (100nM, 6h)
DOI: 10.6084/m9.figshare.25230233.v1
title: Mock.AR.DHT.bw

description: CUT&RUN for AR in 22Rv1 cells treated with DHT (100nM, 6h)
DOI: 10.48511/tzz9-1t29
title: Dumont Creek Hydrometric

description: This dataset contains hydrometric and water temperature data for Dumont Creek hydrometric station. This site is part of the Living Lakes Canada Columbia Basin Water Monitoring Framework program. Dumont Creek was selected for monitoring to represent small, dry, warm watershed which are underrepresented in monitoring in the Mid-Columbia Kootenay region. Dumont Creek also supports numerous water users. The data is being collected to track the impacts of climate change on Columbia Basin water supply and support community climate adaptation. Monitoring has been implemented on this site. Data will be added soon.

Funding provided by the Province of BC, Healthy Watersheds Initiative partners (Stronger BC, Real Estate Foundation of BC, Watersheds BC), Province of BC, Columbia Basin Trust, Canada’s Digital Technology Supercluster partners (Carl Data Solutions, Teck Resources Ltd., Microsoft, Astra Smart Systems, i4C Innovation, the University of Victoria and Genome BC), MakeWay, RBC Tech for Nature, Regional District of Central Kootenay, Sitka Foundation, Slocan Valley Legacy Fund, and the Vancouver Foundation.
DOI: 10.6084/m9.figshare.25230236
title: Mock.K3.veh.bw

description: CUT&RUN for H3K27ac in 22Rv1 cells treated with vehicle