cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13625870.v2
title: Differentially Methylated CpGs from each pairwise comparison

description: Differentially methylated cytosines between groups were identified using the Chi-squared test in methylKit and annotated using the genomation package (Akalin et al., 2012; Akalin et al., 2015 [77, 78]). Results were filtered for ‘in gene/promoter’ to remove intergenic regions, and for a minimum difference of &gt;20% methylation (Du et al., 2010; Slieker et al., 2015) [79, 80].
DOI: 10.6084/m9.figshare.13625870.v1
title: Differentially Methylated CpGs form each pairwise comparison

description: Differentially methylated cytosines between groups were identified using the Chi-squared test in methylKit and annotated using the genomation package (Akalin et al., 2012; Akalin et al., 2015 [77, 78]). Results were filtered for ‘in gene/promoter’ to remove intergenic regions, and for a minimum difference of &gt;20% methylation (Du et al., 2010; Slieker et al., 2015) [79, 80].
DOI: 10.25386/genetics.13549292
title: Supplemental Material for Bezsonov, Edskes, and Wickner, 2021

description: SI for "<b>Innate immunity to yeast prions:</b><br> <b>Btn2p and Cur1p curing of the [URE3] prion is prevented by 60S ribosomal protein deficiency or ubiquitin/proteasome system overactivity" for Genetics. GO analysis of SILAC data, western blots, rpl mutants resistant to curing by o/p Cur1p, no role for Hsp104 in Btn2- or Cur1-curing of [URE3]</b>
DOI: 10.25386/genetics.13549292.v1
title: Supplemental Material for Bezsonov, Edskes, and Wickner, 2021

description: SI for "<b>Innate immunity to yeast prions:</b><br> <b>Btn2p and Cur1p curing of the [URE3] prion is prevented by 60S ribosomal protein deficiency or ubiquitin/proteasome system overactivity" for Genetics. GO analysis of SILAC data, western blots, rpl mutants resistant to curing by o/p Cur1p, no role for Hsp104 in Btn2- or Cur1-curing of [URE3]</b>
DOI: 10.5281/zenodo.4458244
title: RAM Legacy Stock Assessment Database v4.493

description: RAM Legacy Stock Assessment Database version 4.493
DOI: 10.5281/zenodo.4458243
title: RAM Legacy Stock Assessment Database v4.493

description: RAM Legacy Stock Assessment Database version 4.493
DOI: 10.6084/m9.figshare.12943109
title: Negligible impact of oysters on sediment greenhouse gas production

description: This dataset accompanies the manuscript:Ray NE, Fulweiler RW (XXXX) Negligible impact of oysters on sediment greenhouse gas production<br><br>which can accessed here:<br>
DOI: 10.5281/zenodo.4458272
title: Seechange Host Galaxy Spectra

description: Spectra leading to host galaxy redshifts for transients in the Seechange SN Survey. These spectra are in a format that will work with the Weighted Cross Correlation routine released in Seechange Tools, DOI 10.5281/zenodo.4064139
DOI: 10.5281/zenodo.4458271
title: Seechange Host Galaxy Spectra

description: Spectra leading to host galaxy redshifts for transients in the Seechange SN Survey. These spectra are in a format that will work with the Weighted Cross Correlation routine released in Seechange Tools, DOI 10.5281/zenodo.4064139
DOI: 10.6073/pasta/61039d0ad1a849b2a7f6ad5b5aa43830
title: Small Mammal Exclosure Study (SMES) Surface Soil Disturbance in the Chihuahuan Desert Grassland and Shrubland at the Sevilleta National Wildlife Refuge, New Mexico (1995-2005)

description: The purpose of this study is to determine whether or not the activities of small mammals regulate plant community structure, plant species diversity, and spatial vegetation patterns in Chihuahuan Desert shrublands and grasslands. What role if any do indigenous small mammal consumers have in maintaining desertified landscapes in the Chihuahuan Desert? Additionally, how do the effects of small mammals interact with changing climate to affect vegetation patterns over time? This is data for animal created soil surface disturbance measured from each of the SMES study plots. Soil surface disturbance was measured from each of the 36 one-meter2 quadrats twice each year when vegetation was measured.
DOI: 10.25810/q524jp99c
title: Test particle model predictions of SEP electron transport and precipitation at Mars: Data

description: Datasets used in "Test particle model predictions of SEP electron transport and precipitation at Mars". Energetic electrons from solar events are modeled in a test particle simulation in the ambient magnetic fields at Mars. These are the results of the described modeling. The included ZIP file contains the datasets that underlie each figure and calculation.
DOI: 10.5281/zenodo.4456144
title: pyDeltaRCM sample data -- Golf Delta

description: This job was run as part of an ensemble on 2021-01-15 on the TACC supercomputer<br> at the University of Texas at Austin. Run was computed with pyDeltaRCM v1.1.1, commit hash<br> 58244313796273ca4eeb8ea8d724884dd51510a1 Data available as Zenodo doi 10.5281/zenodo.4456144<br>
DOI: 10.6084/m9.figshare.13626545
title: hca_heart_LV_stereoscope_subset_raw_ctl201217.h5ad

description: subsampled dataset from the heart segment of the human cell atlas data. Preprocesses by cartal.
DOI: 10.6084/m9.figshare.13536779.v4
title: Supplementary Appendix 9 of "Toward a geography of community health workers in Niger: a geospatial analysis"

description: Supplementary Appendix 9 contains the input datasets at 100m resolution and 1000m resolution used to derive the modelled outputs in the research article "Toward a geography of community health workers in Niger: a geospatial analysis" by Oliphant and colleagues. Files are available under the Creative Commons Attribution 4.0 International License. Attribution for input datasets prior to transformation is provided in Supplementary Appendix 1 of "Toward a geography of community health workers in Niger: a geospatial analysis" by Oliphant and colleagues.
DOI: 10.6084/m9.figshare.13626560
title: 10x left ventricle data

description: 10x Genomics data from the heart left ventricle. Preprocessed by cartal.
DOI: 10.6084/m9.figshare.13626560.v1
title: 10x left ventricle data

description: 10x Genomics data from the heart left ventricle. Preprocessed by cartal.
DOI: 10.5281/zenodo.4458275
title: Extended RAM Legacy Stock Assessment Database version 4.493

description: Extended RAM Legacy Stock Assessment Database version 4.493 Please be aware that this ‘mdl’ ('model fits included') version 4.493 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.493. This 'asmt' version (doi 10.5281/zenodo.4458244) is also available in our Zenodo repository: https://zenodo.org/communities/rlsadb/
DOI: 10.5281/zenodo.4458274
title: Extended RAM Legacy Stock Assessment Database version 4.493

description: Extended RAM Legacy Stock Assessment Database version 4.493 Please be aware that this ‘mdl’ ('model fits included') version 4.493 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.493. This 'asmt' version (doi 10.5281/zenodo.4458244) is also available in our Zenodo repository: https://zenodo.org/communities/rlsadb/
DOI: 10.5281/zenodo.4458292
title: Supplementary Appendix 1b of "Toward a geography of community health workers in Niger: a geospatial analysis"

description: Supplementary Appendix 1b contains Supplementary Appendices 2-7 and all output datasets at 100m resolution and 1000m resolution for the research article "Toward a geography of community health workers in Niger: a geospatial analysis" by Nicholas P. Oliphant, Nicolas Ray, Khaled Bensaid, Adama Ouedraogo, Asma Yaroh Gali, Oumarou Habi, Ibrahim Maazou, Rocco Panciera, Maria Muñiz, Zeynabu Sy, Debra Jackson, and Tanya Doherty. Files are available under the Creative Commons Attribution 4.0 International License. Tab "Readme" in the file "Supplementary Appendix 1b - Metadata" contains a description of all datasets contained in Supplementary Appendix 1b.
DOI: 10.5281/zenodo.4455606
title: Data_Appendix C_Biomechanical Basis of Human Movement

description: Sample Kinematic and Kinetic Data Subject: 50-kg woman<br> Activity: Walking sampled at 120 Hz; one cycle from right foot touchdown to right foot<br> touchdown<br> Markers: Head, R shoulder, R elbow, R wrist, R hand, R crest (IC), R greater trochanter<br> (GT), R knee, R ankle, R heel, R fifth metatarsal (met), and R toe<br> Stride events: Right foot touchdown (RTD), left foot touchdown (LTD), and right foot<br> toe-off (RTO)<br>
DOI: 10.5281/zenodo.4458362
title: Inventory of glacial lakes in the Jhelum basin, Kashmir Himalayas, India

description: data will be updated soon.....
DOI: 10.5281/zenodo.4458184
title: Inventory of glacial lakes in the Jhelum basin, Kashmir Himalayas, India

description: data will be updated soon.....
DOI: 10.5517/ccdc.csd.cc272nmm
title: CCDC 2058140: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc272npp
title: CCDC 2058142: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5281/zenodo.4452793
title: Supplemental IPWM Run for "Ion heating in the polar cap under northwards IMF Bz": AMPOP_May2014

description: Full output from the Ionosphere/Polar Wind Model (IPWM) for results published in "Ion heating in the polar cap under northwards IMF Bz", by L. J. Lamarche, R. H. Varney, and A. S. Reimer. This is a simulation of the May 2014 event, with IPWM driven by AMPERE convection maps and Ovation Prime precipitation (AMPOP_May2014). Scripts to visualize these model output and produce the figures in the article are available in a separate repository 10.5281/zenodo.4453390. If you are configuring the Resen bucket available in 10.5281/zenodo.4453390, mount this repository to /home/jovyan/mount/AMPOP_May2014_output.
DOI: 10.5281/zenodo.4452792
title: Supplemental IPWM Run for "Ion heating in the polar cap under northwards IMF Bz": AMPOP_May2014

description: Full output from the Ionosphere/Polar Wind Model (IPWM) for results published in "Ion heating in the polar cap under northwards IMF Bz", by L. J. Lamarche, R. H. Varney, and A. S. Reimer. This is a simulation of the May 2014 event, with IPWM driven by AMPERE convection maps and Ovation Prime precipitation (AMPOP_May2014). Scripts to visualize these model output and produce the figures in the article are available in a separate repository 10.5281/zenodo.4453390. If you are configuring the Resen bucket available in 10.5281/zenodo.4453390, mount this repository to /home/jovyan/mount/AMPOP_May2014_output.
DOI: 10.5066/p9l27417
title: Digitized Historical Borehole Geophysical Logs Throughout the Mississippi Alluvial Plain Aquifer System

description: This data release consists of historical borehole geophysical data collected by various entities and digitally recreated by the U.S. Geological Survey to characterize the physical properties of the subsurface in the Mississippi Alluvial Plain from Louisiana to Missouri. The geophysical log data were collected by different Federal, state, and local agencies throughout the area, and were obtained from two sources: Hart and Clark (2008) or the Mississippi Department of Environmental Quality (MDEQ) website. The log data generally consisted of either scanned .jpg or .tif images of the original log. The data was digitized using Neurolog v.2015.12 (NeuraLog.com). This process involves tracing each log over a user-defined grid area, and can be exported in various formats such as .las (log ascii standard) file that can be read into other software packages.
DOI: 10.25810/n6y0-tf68
title: TSIS-1 SIM Recalibration of the SORCE-SIM Absolute Irradiance Scale

description: This TSIS-Adjusted Value (TAV) SORCE-SIM irradiance calibration provides a TSIS1-SIM/SORCE-SIM ratio on the SORCE-SIM wavelength scale. This scale varies in spectral resolution from 1-34 nm over the spectral range. Irradiances are reported at a mean solar distance of 1 AU and zero relative line-of-sight velocity with respect to the Sun. The SORCE TSIS-1 Irradiance Calibration Ratio (STICR) is tabulated is the attached datasets, containingn the wavelength, number of spectra combined at this wavelength, SORCE mean spectral irradiance, its 1-sigma standard deviation of the mean (STD), standard error of the mean (SEM), uncertainty (UNC), data release version, TSIS-1 mean spectral irradiance, its 1-sigma STD, SEM, UNC, data release version, the STICR (TSIS/SORCE), its 1-sigma STD, SEM, UNC, co-variance squared (CV2), and auto-correlation (PHI). The TAV auto-correlation (PHI) was constructed using 15-day bins evenly spaced over the overlap region. Complete details about these columns are provided in the release notes at https://lasp.colorado.edu/home/sorce/instruments/sim/sorce-sim-data-products-release-notes An IDL ASCII file reader (http://lasp.colorado.edu/data/sorce/file_readers/read_lasp_ascii_file.pro) is available which will read this file and return an array of structures whose field names and types are taken from the "DATA DEFINITIONS" section of the ASCII file. Jerald Harder (2020), SORCE SIM Level 3 Solar Spectral Irradiance TSIS-1 Re-Calibration File, Boulder, CO, USA, CU Scholar (TBD), https://doi.org/10.25810/n6y0-tf68. This data file (in both ASCII and IDL savefile format), release notes, and other SORCE data products may be obtained from: http://lasp.colorado.edu/home/sorce/data/. TSIS data and release notes can be obtained from http://lasp.colorado.edu/home/tsis/data/. For more information on the SORCE instruments and data products, see: http://lasp.colorado.edu/home/sorce/
DOI: 10.5066/f74t6gc4
title: Historic groundwater quality of in situ recovery (ISR) uranium mines, Texas

description: In situ recovery (ISR) uranium mining is a technique in which uranium is extracted by a series of injection and recovery wells developed in a permeable sandstone host rock. Chemical constituents (lixiviants) are added to groundwater injection wells to mobilize uranium into groundwater. Before mining, baseline water quality is measured by sampling groundwater from the aquifer intended to be mined and over and underlying units over a geographic area that reflects the proposed mine location. After mining, groundwater is restored using a variety of techniques intended to return groundwater quality to as close to baseline as practicable. After groundwater has been restored, groundwater quality is monitored to determine if the groundwater chemistry has stabilized. The impact of ISR mining on groundwater is poorly understood because records archiving these impacts are difficult to locate. The USGS collected as many historic records describing ISR well fields as they could locate between 2008 and 2014. This data release summarizes historic records from ISR mines developed in Texas and compiled into spreadsheets by USGS mostly from records maintained by the Texas Commission on Environmental Quality.
DOI: 10.5066/p9b7vpcm
title: Fish survey data for Asaph, Straight, Canada and Baldwin Runs, Tioga County, PA, 2012-2017

description: Fish survey data for four stream in Tioga County Pennsylvania from 2012-2017. Community data based on 2-3 backpack electrofishing passes with individual lengths and weights.
DOI: 10.6084/m9.figshare.8168681
title: MMD supplementary data files

description: Data files to be used by the MMD program for source attribution and selection on informative loci. Contains data in the format needed by the MMD program as well as scripts to transform data from their original format to the MMD format.
DOI: 10.6084/m9.figshare.8168681.v4
title: MMD supplementary data files

description: Data files to be used by the MMD program for source attribution and selection on informative loci. Contains data in the format needed by the MMD program as well as scripts to transform data from their original format to the MMD format.
DOI: 10.6084/m9.figshare.8168681.v3
title: MMD supplementary data files

description: Data files to be used by the MMD program for source attribution and selection on informative loci. Contains data in the format needed by the MMD program as well as scripts to transform data from their original format to the MMD format.
DOI: 10.5281/zenodo.4453485
title: Supplemental IPWM Run for "Ion heating in the polar cap under northwards IMF Bz": SDOP_April2016

description: Full output from the Ionosphere/Polar Wind Model (IPWM) for results published in "Ion heating in the polar cap under northwards IMF Bz", by L. J. Lamarche, R. H. Varney, and A. S. Reimer. This is a simulation of the April 2016 event, with IPWM driven by SuperDARN convection maps and Ovation Prime precipitation (SDOP_April2016). Scripts to visualize these model output and produce the figures in the article are available in a separate repository 10.5281/zenodo.4453390. If you are configuring the Resen bucket available in 10.5281/zenodo.4453390, mount this repository to /home/jovyan/mount/SDOP_April2016_output.
DOI: 10.5281/zenodo.4453484
title: Supplemental IPWM Run for "Ion heating in the polar cap under northwards IMF Bz": SDOP_April2016

description: Full output from the Ionosphere/Polar Wind Model (IPWM) for results published in "Ion heating in the polar cap under northwards IMF Bz", by L. J. Lamarche, R. H. Varney, and A. S. Reimer. This is a simulation of the April 2016 event, with IPWM driven by SuperDARN convection maps and Ovation Prime precipitation (SDOP_April2016). Scripts to visualize these model output and produce the figures in the article are available in a separate repository 10.5281/zenodo.4453390. If you are configuring the Resen bucket available in 10.5281/zenodo.4453390, mount this repository to /home/jovyan/mount/SDOP_April2016_output.
DOI: 10.5066/p91ivk5f
title: Western Gulf Coastal Plain Louisiana Land Use and Land Cover ground truth observations from 2016 to 2017

description: Collaborative landscape conservation planning is largely limited by the quality of spatial data which can be applied to decision support tools to inform conservation decisions. Conservation entities across the Western Gulf Coastal Plain are taking a collaborative, strategic, landscape scale approach to conservation planning. This effort encourages communication and implementation of restoration and habitat enhancement actions within water sheds. Land cover datasets available within this geography hinder the efficiency of such efforts due to low resolution quality and limited details associated with land use categories. In collaboration with the Texas Parks and Wildlife Department and the Gulf Coast Prairie Landscape Conservation Cooperative, U.S. Geological Survey (USGS) is developing three map products to 1) improve the resolution of current reference for land use land cover, 2) identify high priority areas for pollinator conservation, and 3) define pre-settlement vegetation types to serve as a reference for restoration efforts. The Land Use Land Cover (LULC) product will attempt to utilize data training methods such as e-cognition software using the 2015 National Aerial Imagery Program (NAIP) dataset (1m) as the basemap. If this is not successful, several data sources will be referenced to produce a refined version of land cover data across the Western Gulf Coastal Plain which includes additional land use categories at a higher resolution (10m). Other data sources will include ~12,000 aerial points assigned to image objects, National Wetlands Inventory (NWI) 2008, Bureau of Ocean Energy Management (BOEM) marsh classes, National Land Cover Database (NLCD) urban areas, and Cropland Data Layer (CDL) data. The aerial points will also contribute to the development of the conservation priority map. Potential pollinator habitat will be derived by ranking land use classifications resulting from the new LULC product, and grassland quality will be based on ground truthing and remotely sensed features indicative of remnant prairie. All known prairie remnants, prairie plantings, and clusters of mima mounds will be detected from high resolution LiDar data (3m). Mima mounds are indicative of areas in which the topsoil has not been significantly disturbed, and therefore have a higher potential to contain native prairie vegetation. The third map product, pre-settlement vegetation types, were compiled using Soil Survey Geographic Database (SSURGO) data, to predict appropriate vegetation associations for plantings across southwest Louisiana based on expert elicitation, and historic references. Natural vegetation associations were examined and documented for each soil series individually using multiple references, including U.S. Department of Agriculture (USDA) Soil Series descriptions, expert elicitation, and historical spatial references. This work provides high resolution references for conservation efforts in the Chenier Eco-Region in Southwest Louisiana.
DOI: 10.25318/1410010701-eng
title:  Employment by class of worker and industry, monthly, unadjusted for seasonality, population centres and rural areas, inactive

description: Number of employees by class of worker, North American Industry Classification System (NAICS), and population centre and rural area, last 5 months.
DOI: 10.5281/zenodo.4458140
title: FD-detector: Dataset gathered running measurements in the wild and Emulations for validation

description: This file contains two folders: the dataset and emulation setup. The dataset is composed of warts files, resulting from traceroutes run with Scamper on NLNOG RING nodes. On the other hand, the emulations were performed on GNS3.
DOI: 10.5281/zenodo.4458139
title: FD-detector: Dataset gathered running measurements in the wild and Emulations for validation

description: This file contains two folders: the dataset and emulation setup. The dataset is composed of warts files, resulting from traceroutes run with Scamper on NLNOG RING nodes. On the other hand, the emulations were performed on GNS3.