cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/1985920
title: Optode performance data associated with: Metabolic Multireactor: practical considerations for using simple oxygen sensing optodes for high-throughput batch reactor metabolism experiments

description: This data package is associated with the publication “Metabolic Multireactor: practical considerations for using simple oxygen sensing optodes for high-throughput batch reactor metabolism experiments”, submitted to PlosONE (Kaufman et al. 2023; 10.1101/2023.03.28.534656).We carried out many testing and calibration experiments on a system of small oxygen consumption batch reactors designed for use with water and sediment samples for environmental questions. The oxygen sensing system is based very directly on the work of Larsen, et al. [2011], and similar oxygen sensing technology is widely used in the literature. Our primary focus was on practical considerations, such as temperature effects, lighting angle effects, sterilization, and other similar situations that a user may find useful. Most of the tests required comparing “base” calibration curves to “treatment” calibration curves to determine the extent to which the treatment impacted the reported measurements. This data package contains the performance and calibration data collected for that purpose.This dataset is comprised of one data folder containing (1) file-level metadata; (2) data dictionary; (3) readme; (4) diffusion test result files; (5) limit of detection test result files; (6) temperature impact files; (7) a main data file that contains test results for all other tests; and (8) an R script that uses Kolmogorov-Smirnov tests to determine whether treatment calibrations are significantly different from their respective base calibrations. All files are .csv, .txt, .Rmd, or .pdf.
DOI: 10.5439/1986619
title: gvr (b1)

description: The G-band vapor radiometer (GVR) provides time-series measurements of brightness temperatures from four double sideband channels around the 183.31-GHz water vapor line. Atmospheric emission in this spectral region is primarily due to water vapor, with some influence from liquid water. The GVR is approximately 30 times more sensitive to water vapor than the two-channel microwave radiometer (MWR) for a precipitable water vapor (PWV) amount of less than 2.5 mm. Measurements from this instrument are, therefore, especially useful during low-humidity conditions (PWV &lt; 5 mm). Data products include mentor-processed data.
DOI: 10.5439/1986622
title: rlccnprof1ghan (s1)

description: rlccnprof1ghan
DOI: 10.5439/1986623
title: rlccnprof1ghan (c1)

description: rlccnprof1ghan
DOI: 10.5439/1986625
title: mplpolavg (c1)

description: mplpolavg
DOI: 10.5439/1986626
title: mplpolavg (s1)

description: mplpolavg
DOI: 10.5439/1986627
title: mmcrmode4pr200606161cloth (c1)

description: mmcrmode4pr200606161cloth
DOI: 10.5439/1986628
title: mmcrmode3ge200606161cloth (c1)

description: mmcrmode3ge200606161cloth
DOI: 10.15473/1987334
title: UNH TDP - ADCP Raw Data and Processing Scripts - Fall 2021

description: This submission contains raw Acoustic Doppler Current Profiler (ADCP) data and processing scripts associated with MHKDR submission 394 (UNH TDP - Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.15473/1973860) from the University of New Hampshire and Atlantic Marine Energy Center (AMEC) turbine deployment platform. The user is directed to the MHKDR submission 394 for relevant context and detail of this deployment; see link below. The 394_READ_ME file here provides the description from that submission for quick reference. The READ_ME file for this specific instrument from the 394 submission is also available here. This submission contains a zipped folder structure containing raw data in its original format and MATLAB (2019a) processing scripts used to process and manipulate the data into its final form. The final data products are submitted in the 394 submission.
DOI: 10.15473/1987335
title: UNH TDP - ADV Raw Data and Processing Scripts - Fall 2021

description: This submission contains raw Acoustic Doppler Velocimeter (ADV) data and processing scripts associated with MHKDR submission 394 (UNH TDP - Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.15473/1973860) from the University of New Hampshire and Atlantic Marine Energy Center (AMEC) turbine deployment platform. The user is directed to the MHKDR submission 394 for relevant context and detail of this deployment; see link below. The 394_READ_ME file here provides the description from that submission for quick reference. The READ_ME file for this specific instrument from the 394 submission is also available here. This submission contains a zipped folder structure containing raw data in its original format and MATLAB (2019a) processing scripts used to process and manipulate the data into its final form. The final data products are submitted in the 394 submission.
DOI: 10.15473/1987336
title: UNH TDP - Voltsys Raw Data and Processing Scripts - Fall 2021

description: This submission contains raw Voltsys rectifier data and processing scripts associated with MHKDR submission 394 (UNH TDP - Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.15473/1973860) from the University of New Hampshire and Atlantic Marine Energy Center (AMEC) turbine deployment platform. The user is directed to the MHKDR submission 394 for relevant context and detail of this deployment; see link below. The 394_READ_ME file here provides the description from that submission for quick reference. The READ_ME file for this specific instrument from the 394 submission is also available here. This submission contains a zipped folder structure containing raw data in its original format and MATLAB (2019a) processing scripts used to process and manipulate the data into its final form. The final data products are submitted in the 394 submission.
DOI: 10.15473/1987339
title: UNH TDP - Load Cell Raw Data and Processing Scripts - Fall 2021

description: This submission contains raw Load Cell data and processing scripts associated with MHKDR submission 394 (UNH TDP - Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.15473/1973860) from the University of New Hampshire and Atlantic Marine Energy Center (AMEC) turbine deployment platform. The user is directed to the MHKDR submission 394 for relevant context and detail of this deployment; see link below. The 394_READ_ME file here provides the description from that submission for quick reference. The READ_ME file for this specific instrument from the 394 submission is also available here. This submission contains a zipped folder structure containing raw data in its original format and MATLAB (2019a) processing scripts used to process and manipulate the data into its final form. The final data products are submitted in the 394 submission.
DOI: 10.5439/1987448
title: mmcrmode2ci200606161cloth (c1)

description: mmcrmode2ci200606161cloth
DOI: 10.5439/1987449
title: mmcrmode1bl200606161cloth (c1)

description: mmcrmode1bl200606161cloth
DOI: 10.5439/1987450
title: mplpol (b1)

description: The micropulse lidar (MPL) is a ground-based, optical, remote-sensing system designed primarily to determine the altitude of clouds; however, it is also used for detection of atmospheric aerosols. The physical principle is the same as for radar. Pulses of energy are transmitted into the atmosphere; the energy scattered back to the transceiver is collected and measured as a time-resolved signal, thereby detecting clouds and aerosols in real time. From the time delay between each outgoing pulse and the backscattered signal, the distance to the scatterer is inferred. Post-processing of the lidar return characterizes the extent and properties of aerosols or other particles in a region.
DOI: 10.5439/1987451
title: sws (b1)

description: The shortwave spectroradiometer (SWS) measures the absolute visible and near-infrared spectral radiance (units of watts per square meter per nanometer per steradian) of the zenith directly above the instrument. The SWS is a moderate-resolution sensor comprised of two Zeiss spectroradiometers (MMS 1 NIR enhanced and NIR-PGS 2.2) for visible and near-infrared detection in the wavelength range 350-2170 nm. The sampling frequency is 1 Hz. The spectral resolution is 8 nm for the MMS 1 NIR and 12 nm for the NIR-PGS 2.2. The light collector has a narrow-field-of-view (1.4°) collimator at the front end of a high-grade, custom-made fiber-optic bundle. The SWS does daily daytime measurements. At the Southern Great Plains site, the SWS is located in a darkroom within the optical trailer to permit calibrations to be conducted without moving the instrument. Calibrations are performed on schedule using the ARM 12" integrating sphere. SWS measurements can be used to: 1. Retrieve cloud optical depth, particle size, and water path. 2. Test the cloud optical depth retrieval for overcast and broken cloud fields. 3. Validate/compare with SGP surface remote sensors and future cloud IOP campaigns. 4. Perform multivariate analysis to derive information content in hyper-spectral data sets and improve cloud retrieval algorithm development. 5. Compare with radiative transfer models for testing and validating retrieval procedures.
DOI: 10.5439/1987452
title: wacrspeccmaskxpol (a0)

description: The W-band ARM Cloud Radar (WACR) systems are zenith-pointing Doppler radars that probe the extent and composition of clouds at 95.04 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar reports estimates for the first three spectra moments for each range gate up to 15 km. The 0th moment is reflectivity, the 1st moment is radial velocity, and the 2nd moment is spectral width. Also available are the raw spectra files. Unlike the millimeter wavelength cloud radar (MMCR), the WACR does not use pulse coding and operates in only copolarization and cross-polarization modes.
DOI: 10.5439/1987453
title: wacrspeccmaskcopol (a0)

description: The W-band ARM Cloud Radar (WACR) systems are zenith-pointing Doppler radars that probe the extent and composition of clouds at 95.04 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar reports estimates for the first three spectra moments for each range gate up to 15 km. The 0th moment is reflectivity, the 1st moment is radial velocity, and the 2nd moment is spectral width. Also available are the raw spectra files. Unlike the millimeter wavelength cloud radar (MMCR), the WACR does not use pulse coding and operates in only copolarization and cross-polarization modes.
DOI: 10.5439/1987454
title: wacrreflmask (a0)

description: The W-band ARM Cloud Radar (WACR) systems are zenith-pointing Doppler radars that probe the extent and composition of clouds at 95.04 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar reports estimates for the first three spectra moments for each range gate up to 15 km. The 0th moment is reflectivity, the 1st moment is radial velocity, and the 2nd moment is spectral width. Also available are the raw spectra files. Unlike the millimeter wavelength cloud radar (MMCR), the WACR does not use pulse coding and operates in only copolarization and cross-polarization modes.
DOI: 10.5439/1987455
title: arsclwacr1kollias (c1)

description: arsclwacr1kollias
DOI: 10.5439/1987456
title: raintbaux (b1)

description: A rain gauge (RAIN) gathers and measures the amount of liquid precipitation over a set period of time. ARM uses many types of rain gauges at its climate research facilities. The tipping bucket rain gauge consists of a funnel that collects and directs precipitation into a seesaw container that tips after a pre-set amount of liquid enters. When the seesaw tips, it sends an electrical signal that is counted by a recording device. The weighing precipitation gauge consists of a storage container, which is weighted to record the mass of precipitation. Some models measure the mass of precipitation using a pen on a rotating drum or by using a vibrating wire attached to a data logger. The advantage of this type of rain gauge is that it can measure all forms of precipitation. Disdrometers are used with rain gauges to add details about the precipitation being gathered. They are capable of measuring the velocity and size distribution of precipitation, measurements important for studying the evolution of water droplets.
DOI: 10.5439/1987457
title: 180iopsndgv21varmainland (c1)

description: 180iopsndgv21varmainland
DOI: 10.15121/1987526
title: Updated U.S. Low-Temperature Heating and Cooling Demand by County and Sector

description: This dataset includes U.S. low-temperature heating and cooling demand at the county level in major end-use sectors: residential, commercial, manufacturing, agricultural, and data centers. Census division-level end-use energy consumption, expenditure, and commissioned power database were dis-aggregated to the county level. The county-level database was incorporated with climate zone, numbers of housing units and farms, farm size, and coefficient of performance (COP) for heating and cooling demand analysis. This dataset also includes a paper containing a full explanation of the methodologies used and maps. Residential data were updated from the latest Residential Energy Consumption Survey (RECS) dataset (2015) using 2020 census data. Commercial data were baselined off the latest Commercial Building Energy Consumption Survey (CBECS) dataset (2012). Manufacturing data were baselined off the latest Manufacturing Energy Consumption Survey (MECS) dataset (2021).
DOI: 10.15121/1987550
title: Utah FORGE: Results of Direct Shear Tests on Saturated Joints in Sierra White Granite

description: This dataset includes an Excel file with the results of direct shear tests to investigate the mechanical and geophysical response of saturated joints. Tests were conducted on induced tension-fractured Sierra White granite joints in a custom water pressurized chamber. The preparation of granite joints is summarized in the PDF file. The PDF file also includes a description of the direct shear tests, experimental procedure, and results.
DOI: 10.15121/1987556
title: GBCGE Subsurface Database Explorer and APIs

description: This submission defines a DOI for the Great Basin Center for Geothermal Energy's (GBCGE) Subsurface Database Explorer web application and underlying data services, and acknowledges the INGENIOUS project as a major source of funding for data compilation and quality assurance. The GBCGE Subsurface Database Explorer is an interactive web mapping application that provides public access to the GBCGE Subsurface Database, and its collection of datasets pertinent to geothermal exploration, oil and gas exploration, critical mineral exploration, and other subsurface characterization for the Great Basin Region, western US. This is a living database, and will be continuously updated with new data and datasets as funding and motivations allow. The underlying database views that populate the web application are on an automated refresh schedule. Data sources and acknowledgements: We thank our partners with the Nevada Division of Minerals (NDOM), the Southern Methodist University (SMU), and Great Basin State Geological Surveys for their active efforts in data curation, schema design, and quality assurance. We also thank contributors among the USGS, Oregon Institute of Technology, State Divisions of Water Resources, State Divisions of Oil, Gas, and Minerals, and State Geological Surveys for open data availability and direct contributions made under the National Geothermal Data System (NGDS).
DOI: 10.34740/kaggle/dsv/6056143
title: Pypi sython panda
DOI: 10.5281/zenodo.8098471
title: WRF Forecast Data used for Verification of multi-resolution model forecasts of heavy rainfall events of 23rd-26th August 2017 over Nigeria

description: A deterministic Weather Research and Forecasting model version 4.2 forecast of heavy convective rainfall associated with the passage of the African Easterly Wave (AEW) within the period 23<sup>rd</sup>-26<sup>th</sup> August 2017 over Nigeria. The model was setup to perform two nested domain simulations with 18 (parent domain), 6 and 2 km (hereafter WRF18, WRF6 and WRF2) horizontal resolutions. The outer domain covers West Africa and the innermost domain, which runs at convection-permitting scale, focuses on Nigeria. When interpreting the results, it is worthy of note that the data has been regridded to 18 km, which is 3 x the grid scale for WRF6 and 9 x the grid scale for WRF2. This means that there is a fair degree of smoothing that has been applied using a bilinear regridding process to get the models onto a level playing field. Only WRF18 retains its native grid and has not benefited from any additional smoothing. The WRF model setup is similar to the study of Gbode et al. (2019; DOI: https://doi.org/10.1007/s00704-018-2538-x) in terms of the model physics combination used in the model simulations. The parameterization schemes used are the Goddard (GD) WRF model microphysics (MP), the Mellor–Yamada–Janjic (MYJ) planetary boundary layer (PBL) and the Bett-Miller-Janjic (BMJ) cumulus convection (CU) parameterization schemes. This combination was found to reproduce realistic rainfall and temperature relative to gridded observations over West Africa. The GD is a six-class microphysics with graupel and modifications for ice/water saturation. MYJ is a local closure scheme that predicts turbulent kinetic energy and the BMJ CU is a profile adjustment scheme that relaxes both deep and shallow profiles toward a reference profile without explicit updraft, downdraft, or cloud entrainment. However, the CU scheme was turned off in the 2 km domain to explicitly represent convection.
DOI: 10.5281/zenodo.8098470
title: WRF Forecast Data used for Verification of multi-resolution model forecasts of heavy rainfall events of 23rd-26th August 2017 over Nigeria

description: A deterministic Weather Research and Forecasting model version 4.2 forecast of heavy convective rainfall associated with the passage of the African Easterly Wave (AEW) within the period 23<sup>rd</sup>-26<sup>th</sup> August 2017 over Nigeria. The model was setup to perform two nested domain simulations with 18 (parent domain), 6 and 2 km (hereafter WRF18, WRF6 and WRF2) horizontal resolutions. The outer domain covers West Africa and the innermost domain, which runs at convection-permitting scale, focuses on Nigeria. When interpreting the results, it is worthy of note that the data has been regridded to 18 km, which is 3 x the grid scale for WRF6 and 9 x the grid scale for WRF2. This means that there is a fair degree of smoothing that has been applied using a bilinear regridding process to get the models onto a level playing field. Only WRF18 retains its native grid and has not benefited from any additional smoothing. The WRF model setup is similar to the study of Gbode et al. (2019; DOI: https://doi.org/10.1007/s00704-018-2538-x) in terms of the model physics combination used in the model simulations. The parameterization schemes used are the Goddard (GD) WRF model microphysics (MP), the Mellor–Yamada–Janjic (MYJ) planetary boundary layer (PBL) and the Bett-Miller-Janjic (BMJ) cumulus convection (CU) parameterization schemes. This combination was found to reproduce realistic rainfall and temperature relative to gridded observations over West Africa. The GD is a six-class microphysics with graupel and modifications for ice/water saturation. MYJ is a local closure scheme that predicts turbulent kinetic energy and the BMJ CU is a profile adjustment scheme that relaxes both deep and shallow profiles toward a reference profile without explicit updraft, downdraft, or cloud entrainment. However, the CU scheme was turned off in the 2 km domain to explicitly represent convection.
DOI: 10.48597/jzw7-6aay
title: Measurement of Ozone at Zoebelboden

description: Measurement of Ozone at Zoebelboden
DOI: 10.48597/k9ux-cyxt
title: Measurement of Aerosol light scattering at Southern Great Plains E13

description: Measurement of Aerosol light scattering at Southern Great Plains E13
DOI: 10.48597/kb9w-s9ma
title: Measurement of Ozone at Gänserndorf

description: Measurement of Ozone at Gänserndorf
DOI: 10.6084/m9.figshare.23805444.v1
title: Tregs constrain CD8+ T cell priming required for curative intratumorally anchored anti-4-1BB immunotherapy

description: Raw data file for manuscript
DOI: 10.6084/m9.figshare.23805444
title: Tregs constrain CD8+ T cell priming required for curative intratumorally anchored anti-4-1BB immunotherapy

description: Raw data file for manuscript
DOI: 10.6084/m9.figshare.22817429.v1
title: The Proteasome Modulates Endocytosis in a Glomerular Cell Type Specific Modality to Secure Kidney Filtration

description: Kidney filtration is ensured in the glomerulus by the interaction of podocytes, endothelial and mesangial cells. In comparison to autophagy and mitochondrial function, the proteasome system represents a completely unexplored aspect of cellular metabolism especially in kidney cells, even though it is getting more and more clear that proteasome alterations are central to many glomerular metabolic and immune pathologies. Here we identify the proteasome to be critical in a conserved cell type specific modality. Combining genetic and inhibitor-based human, pig, mouse, and Drosophila models we demonstrate that the proteasome ensures filtration barrier integrity, with podocyte metabolism depending on the constitutive proteasome whereas glomerular endothelial cells depend on the immunoproteasome. Endothelial immunoproteasome deficiency as well as proteasome inhibition disrupt the filtration barrier in mice, resulting in pathologic immunoglobulin deposition under the slit diaphragm and glomerular basement membrane alterations. Mechanistically, a reduced endocytic activity was identified, which relates to altered membrane recycling and turnover of endocytic receptors for collagen 4 and immunoglobulins.
 Our findings expand the concept of the (immuno)proteasome as a control protease for protein degradation and antigen presentation to an orchestrator of endocytosis and will lead to new therapeutic principles in targeting disease-associated glomerular protein accumulations.