cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8152245
title: STeVECat, the Spectral TeV Extragalactic Catalog

description: The Whipple Observatory's discovery of extragalactic TeV photons from Markarian 421 in 1992 marked the beginning of extragalactic gamma-ray astronomy at very high-energy (VHE, E &gt; 100 GeV). Three decades later, both the number of detected extragalactic VHE sources and the variety of their observed spectral states have greatly increased. We present a catalog of high-level results from extragalactic observations made by imaging atmospheric Cherenkov telescopes (IACTs): STeVECat, the Spectral TeV Extragalactic Catalog. The catalog can be accessed by extracting the archive stevecat.tar.gz. The following command line can be use to create a directory called "STeVECat": tar -zxf stevecat.tar.gz This directory contains a CSV table corresponding to the sources featured in STeVECat, a CSV table corresponding to all the STeVECat spectra, 173 folders containing ECSV files corresponding to these spectra and a data FITS file, all of which are described in the corresponding ICRC 2023 contribution by Lucas Gréaux <em>et al</em>. We also provide a python script showing how to load the data. If you use the catalog, please cite the corresponding ICRC 2023 contribution by Lucas Gréaux <em>et al</em>.
DOI: 10.5281/zenodo.8152244
title: STeVECat, the Spectral TeV Extragalactic Catalog

description: The Whipple Observatory's discovery of extragalactic TeV photons from Markarian 421 in 1992 marked the beginning of extragalactic gamma-ray astronomy at very high-energy (VHE, E &gt; 100 GeV). Three decades later, both the number of detected extragalactic VHE sources and the variety of their observed spectral states have greatly increased. We present a catalog of high-level results from extragalactic observations made by imaging atmospheric Cherenkov telescopes (IACTs): STeVECat, the Spectral TeV Extragalactic Catalog. The catalog can be accessed by extracting the archive stevecat.tar.gz. The following command line can be use to create a directory called "STeVECat": tar -zxf stevecat.tar.gz This directory contains a CSV table corresponding to the sources featured in STeVECat, a CSV table corresponding to all the STeVECat spectra, 173 folders containing ECSV files corresponding to these spectra and a data FITS file, all of which are described in the corresponding ICRC 2023 contribution by Lucas Gréaux <em>et al</em>. We also provide a python script showing how to load the data. If you use the catalog, please cite the corresponding ICRC 2023 contribution by Lucas Gréaux <em>et al</em>.
DOI: 10.25442/hku.21710039
title: Support the data for "Modulation of microglial state for neuroplasticity and function preservation in transgenic mouse models of Alzheimer’s disease"

description: This dataset is used to support the thesis of Modulation of microglial state for neuroplasticity and function preservation in transgenic mouse models of Alzheimer’s disease''. There are several folders in the dataset: the first part of this data is to explore whether the LBE is a good candidate for AD by regulating the microglia state in central neural systems. Subfolder 1 is about LBE on IMG cell line exposure to amyloid-beta, subfolder 2 is for the brain, subfolder 3 is for the spinal cord, and subfolder 4 is for the retina. These supported data further proved the functional effects in different parts of CNS. The next objective is to identify the microglia DNA-based extracellular traps induced by amyloid-beta and investigate the effects of destroying MiETs by DNase treatment in the improvement of plasticity and function preservation for AD, which is supported by subfolder 5.
DOI: 10.25442/hku.21710039.v2
title: Support the data for "Modulation of microglial state for neuroplasticity and function preservation in transgenic mouse models of Alzheimer’s disease"

description: This dataset is used to support the thesis of Modulation of microglial state for neuroplasticity and function preservation in transgenic mouse models of Alzheimer’s disease''. There are several folders in the dataset: the first part of this data is to explore whether the LBE is a good candidate for AD by regulating the microglia state in central neural systems. Subfolder 1 is about LBE on IMG cell line exposure to amyloid-beta, subfolder 2 is for the brain, subfolder 3 is for the spinal cord, and subfolder 4 is for the retina. These supported data further proved the functional effects in different parts of CNS. The next objective is to identify the microglia DNA-based extracellular traps induced by amyloid-beta and investigate the effects of destroying MiETs by DNase treatment in the improvement of plasticity and function preservation for AD, which is supported by subfolder 5.
DOI: 10.25442/hku.21710039.v1
title: Support the data for "Modulation of microglial state for neuroplasticity and function preservation in transgenic mouse models of Alzheimer’s disease"

description: this dataset is used to support the thesis of Modulation of microglial state for neuroplasticity and function preservation in transgenic mouse models of Alzheimer’s disease''. There are several folders in the dataset, the first part of this data is to explore whether the LBE is a good candidate for AD by regulating the microglia state in central neural systems. So, subfolder 1 is about LBE on IMG cell line exposure to amyloid-beta, subfolder 2 for the brain, subfolder 3 for the spinal cord, and subfolder 4 for the retina, these supported data further proved the functional effects in different parts of CNS. The next objective is to identify the microglia DNA-based extracellular traps induced by amyloid-beta and investigate the effects on destroying MiETs by DNase treatment in the improvement of plasticity and function preservation for AD, which is supported by subfolder 5.
DOI: 10.6084/m9.figshare.23787342
title: 20230727_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.23787342.v1
title: 20230727_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.15121/1261959
title: Tularosa Basin Play Fairway Analysis: Water Chemistry

description: This shapefile contains 409 well data points on Tularosa Basin Water Chemistry, each of which have a location (UTM), temperature, quartz and Potassium/Magnesium geothermometer; as well as concentrations of chemicals like Mn, Fe, Ba, Sr, Cs, Rb, As, NH4, HCO3, SO4, F, Cl, B, SiO2, Mg, Ca, K, Na, and Li.
DOI: 10.15121/1364773
title: Tularosa Basin Play Fairway Analysis: Geologic Map of the Organ Mountains and Southern San Andres Mountain Range, NM

description: This is a digitized geologic map, in shapefile format, including rock unit lithological descriptions, faults, and dikes.
DOI: 10.15121/1444063
title: Tularosa Basin Play Fairway Analysis: Temperature, Geochemistry, and Gravity Data

description: This submission contains multiple excel spreadsheets and associated written reports. The datasets area are representative of shallow temperature, geochemistry, and other well logging observations made across WSMR (white sands missile range); located to the west of the Tularosa Basin but still within the study area. Written reports accompany some of the datasets, and they provide ample description of the methodology and results obtained from these studies. Gravity data is also included, as point data in a shapefile, along with a written report describing that particular study.
DOI: 10.26182/jhks-se60
title: Resonance-Based Sensing of Magnetic Nanoparticles Using Microfluidic Devices with Ferromagnetic Antidot Nanostructures
DOI: 10.5281/zenodo.8170123
title: Data -- Experiment Series One -- Multi-Model Tournament

description: Dataset generated from <strong>Experiment Series One: Multi-Model Tournament</strong> from in-progress doctoral thesis <em>Cooperative Intent: An Exploration of Computational Learning in a Discrete Preference Space. </em> Code -- Experiment Series One -- Multi-Model Tournament v0.1-alpha 10.5281/zenodo.8188104.
DOI: 10.5281/zenodo.8170122
title: Data -- Experiment Series One -- Multi-Model Tournament

description: Dataset generated from <strong>Experiment Series One: Multi-Model Tournament</strong> from in-progress doctoral thesis <em>Cooperative Intent: An Exploration of Computational Learning in a Discrete Preference Space. </em> Code -- Experiment Series One -- Multi-Model Tournament v0.1-alpha 10.5281/zenodo.8188104.
DOI: 10.57931/1960381
title: Software: gcamusa_v5.3_im3

description: GCAM USA version (gcamusa_v5p3_im3) supporting the publication: Khan, Z., Zhao, M., Ahsan, H., Wolfram, P., Vernon, C., Rice, J., Iyer, G., Binsted, M., Snyder, A., Graham, N., Kyle, P., 2023. Coevolution of future water, energy and land systems across the United States in response to national and global socioeconomic, climate, and energy policy drivers. (In progress) Earths Future, DOI: XXX with further details available at the meta-repository: https://immm-sfa.github.io/khan-etal_2023_im3gcamusa
DOI: 10.6084/m9.figshare.23787387
title: data

description: diversity and abundance
DOI: 10.6084/m9.figshare.23787387.v1
title: data

description: diversity and abundance
DOI: 10.57931/1989373
title: Output Data: gcam_usa_v5p3_im3

description: Output databases and tables supporting the publication: Khan, Z., Zhao, M., Ahsan, H., Wolfram, P., Vernon, C., Rice, J., Iyer, G., Binsted, M., Snyder, A., Graham, N., Kyle, P., 2023. Coevolution of future water, energy and land systems across the United States in response to national and global socioeconomic, climate, and energy policy drivers. (In progress) Earths Future, DOI: XXX with further details available at the meta-repository: https://immm-sfa.github.io/khan-etal_2023_im3gcamusa Folder: gcam_usa_im3_outputs (GCAM USA v 5.3 used for IM3 experiment Output Databases): database_rcp45cooler_ssp3.tar.gz database_rcp45cooler_ssp5.tar.gz database_rcp45hotter_ssp5.tar.gz database_rcp45hotter_ssp5.tar.gz database_rcp85cooler_ssp3.tar.gz database_rcp85cooler_ssp5.tar.gz database_rcp85hotter_ssp5.tar.gz database_rcp85hotter_ssp5.tar.gz Folder: gcam_usa_im3_gcamextractor_outputs (gcamextractor post-processing of the GCAM databases for specific downstream models ): dataGCAM_cerf.tar.gz (For CERF Model) dataGCAM_demeter.tar.gz (For Demeter model) dataGCAM_go.tar.gz (For GO model) gcamDataTable.tar.gz (All IM3 scenarios)
DOI: 10.5439/1992199
title: brs60s (a1)

description: The broadband radiometer station (BRS) is located at the ARM Southern Great Plains site Central Facility, near the solar and infrared radiation station (SIRS) C1 station. The BRS station collection of radiometers provides continuous measurements of broadband shortwave (solar) and longwave (infrared) irradiances for downwelling components. These 1-minute data are collected to help determine the radiative energy exchange. The BRS station is similar in design to the ARM sky radiometers on stand for downwelling radiation (SKYRAD) stations and is operated by ARM in association with the Baseline Surface Radiation Network (BSRN, http://bsrn.awi.de ).
DOI: 10.5439/1992200
title: aerosolbe1turn (s1)

description: aerosolbe1turn
DOI: 10.5439/1992201
title: aerosolbe1turn (c1)

description: aerosolbe1turn
DOI: 10.5439/1992202
title: 30co2flx60m (b1)

description: The Southern Great Plains (SGP) carbon dioxide flux (CO2FLUX) measurement systems provide half-hour average fluxes of CO2, H2O (latent heat), sensible heat, and momentum. The systems use the eddy covariance technique, which computes the fluxes from the vertical wind speed in combination with the concentrations of CO2 and H2O, temperature, and horizontal wind speed, respectively. A 3D sonic anemometer obtains the wind components and the temperature, while an infrared gas analyzer measures CO2 and H2O. A sub-system also measures half-hour averages of radiation, meteorological, and soil measurements.
DOI: 10.5439/1992203
title: sirs (a2)

description: The solar infrared radiation station (SIRS) provides continuous measurements of broadband shortwave (solar) and longwave (atmospheric or infrared) irradiances for downwelling and upwelling components. These 1-minute data are collected from a network of stations to help determine the total energy exchange within the Southern Great Plains site. Note: The current SIRS instrument suite was preceded by the ARM operational broadband instrument suite and by the solar and infrared radiation observation station (SIROS) instrument suite, which included the MFRSR. The change to SIRS occurred in 1997-1998.
DOI: 10.5439/1992204
title: sirs60s (a1)

description: The solar infrared radiation station (SIRS) provides continuous measurements of broadband shortwave (solar) and longwave (atmospheric or infrared) irradiances for downwelling and upwelling components. These 1-minute data are collected from a network of stations to help determine the total energy exchange within the Southern Great Plains site. Note: The current SIRS instrument suite was preceded by the ARM operational broadband instrument suite and by the solar and infrared radiation observation station (SIROS) instrument suite, which included the MFRSR. The change to SIRS occurred in 1997-1998.
DOI: 10.5439/1992205
title: 30co2flx60m (a1)

description: The Southern Great Plains (SGP) carbon dioxide flux (CO2FLUX) measurement systems provide half-hour average fluxes of CO2, H2O (latent heat), sensible heat, and momentum. The systems use the eddy covariance technique, which computes the fluxes from the vertical wind speed in combination with the concentrations of CO2 and H2O, temperature, and horizontal wind speed, respectively. A 3D sonic anemometer obtains the wind components and the temperature, while an infrared gas analyzer measures CO2 and H2O. A sub-system also measures half-hour averages of radiation, meteorological, and soil measurements.
DOI: 10.5439/1992206
title: tsiskyimage (a1)

description: The total sky imager (TSI) measures the fraction of the sky view covered by clouds. It provides time series of hemispheric sky images during daylight hours and retrievals of fractional sky cover for periods when the solar elevation is greater than 10 degrees. To view current sky cover retrievals at the ARM sites, see the TSI most recent sky images.
DOI: 10.5439/1992208
title: tsicldmask (a1)

description: The total sky imager (TSI) measures the fraction of the sky view covered by clouds. It provides time series of hemispheric sky images during daylight hours and retrievals of fractional sky cover for periods when the solar elevation is greater than 10 degrees. To view current sky cover retrievals at the ARM sites, see the TSI most recent sky images.
DOI: 10.5281/zenodo.8173539
title: Data -- Experiment Series Three -- Game Model Recognition

description: Dataset generated from <strong>Experiment Series Three: Game Model Recognition </strong>from in-progress doctoral thesis <em>Cooperative Intent: An Exploration of Computational Learning in a Discrete Preference Space. </em> Code -- Experiment Series Three -- Game Model Recognition v0.1-alpha 10.5281/zenodo.8188155
DOI: 10.5281/zenodo.8173538
title: Data -- Experiment Series Three -- Game Model Recognition

description: Dataset generated from <strong>Experiment Series Three: Game Model Recognition </strong>from in-progress doctoral thesis <em>Cooperative Intent: An Exploration of Computational Learning in a Discrete Preference Space. </em> Code -- Experiment Series Three -- Game Model Recognition v0.1-alpha 10.5281/zenodo.8188155
DOI: 10.6084/m9.figshare.23771127.v6
title: Population genomic analysis of Ellobium chinense

description: Mapped bam file and SNPs
DOI: 10.25584/1992425
title: Results from: A Targeted Approach to Energy Burden Reduction Measures: Comparing the Effects of Energy Storage, Rooftop Solar, Weatherization, and Energy Efficiency Upgrades

description: This dataset is meant to accompany the Methods page for A Targeted Approach to Energy Burden Reduction Measures: Comparing the Effects of Energy Storage, Rooftop Solar, Weatherization, and Energy Efficiency Upgrades.
DOI: 10.6084/m9.figshare.23787225.v1
title: Global Hall MHD simulations of the solar wind implantation flux on the lunar surface

description: This item includes original data files obtained by the global MHD simulations for the JGR-planet manuscript [2023JE008024], as well as the 5 figure files shown in the manuscript. There are 15 data files in all that are in .dat and .plt format, which can be opened and visualized by Tecplot software. In particular, the first data file is related to the panel of Figure 1a, and the second and third data files are assocaited with the panels of Figure 1b-1f. The 4th data file is used for Figure 2, and the 6th to the 12th data files are associated with Figure 3. The 13th and 14the data files are related to Figure 4, and the 15the data file is used for Figure 5.
DOI: 10.6084/m9.figshare.23787225
title: Global Hall MHD simulations of solar wind implantation flux on the lunar surface

description: This item includes original data files obtained by the global MHD simulations for the JGR-planet manuscript [2023JE008024], as well as the 5 figure files shown in the manuscript. There are 15 data files in all that are in .dat and .plt format, which can be opened and visualized by Tecplot software. In particular, the first data file is related to the panel of Figure 1a, and the second and third data files are assocaited with the panels of Figure 1b-1f. The 4th data file is used for Figure 2, and the 6th to the 12th data files are associated with Figure 3. The 13th and 14the data files are related to Figure 4, and the 15the data file is used for Figure 5.
DOI: 10.6084/m9.figshare.23787225.v2
title: Solar wind implantation flux on the lunar surface

description: This item includes original data files obtained by the global MHD simulations for the JGR-planet manuscript [2023JE008024], as well as the 5 figure files shown in the manuscript. There are 15 data files in all that are in .dat and .plt format, which can be opened and visualized by Tecplot software. In particular, the first data file is related to the panel of Figure 1a, and the second and third data files are assocaited with the panels of Figure 1b-1f. The 4th data file is used for Figure 2, and the 6th to the 12th data files are associated with Figure 3. The 13th and 14the data files are related to Figure 4, and the 15the data file is used for Figure 5.
DOI: 10.6084/m9.figshare.23787225.v3
title: Global Hall MHD simulations of solar wind implantation flux on the lunar surface

description: This item includes original data files obtained by the global MHD simulations for the JGR-planet manuscript [2023JE008024], as well as the 5 figure files shown in the manuscript. There are 15 data files in all that are in .dat and .plt format, which can be opened and visualized by Tecplot software. In particular, the first data file is related to the panel of Figure 1a, and the second and third data files are assocaited with the panels of Figure 1b-1f. The 4th data file is used for Figure 2, and the 6th to the 12th data files are associated with Figure 3. The 13th and 14the data files are related to Figure 4, and the 15the data file is used for Figure 5.
DOI: 10.3886/e104642v4-140430
title: 2016 Annual Survey of Refugees

description: Since the 1980s, the Office of Refugee Resettlement[1] (ORR) has conducted the Annual Survey of Refugees (ASR), which collects information on refugees during their first five years after arrival in the U.S. The ASR is the only scientifically-collected source of national data on refugees’ progress toward self-sufficiency and integration. ORR uses the ASR results alongside other information sources to fulfill its Congressionally-mandated reporting following the Refugee Act of 1980. Historically, the microdata from these surveys have generally been unavailable to researchers. <br> <br>In the Spring of 2017 ORR completed its 50th Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and shows the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2016 ASR with future years likely to be added to the ICPSR archive.. <br> [1] The Office of Refugee Resettlement (ORR) at the Administration for Children and Families in the U.S. Department of Health and Human Services (HHS) serves refugees and other humanitarian entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa holders, Amerasians, victims of human trafficking, and unaccompanied children. By providing these arrived populations with critical resources, ORR promotes their economic and social well-being. The Annual Survey of Refugees focuses solely on those refugees who have come to the U.S. in the past five fiscal years.
description: Household- and person-level analytic weights were developed for the 2016 ASR to allow for valid statistical estimates of the target refugee population. Both sets of weights are comprised of two components – a base weight reflecting the selection probability and an adjustment that corrects for differential nonresponse and aligns the population to known totals from the sampling frame (RADS universe file).
description: Response Rates: An overall response rate of 24 percent was achieved. The response rate was driven by the ability to locate and speak to (1500+468)/6176 = 32 percent of the sample, <b>meaning that two thirds of the sample could either not be located, or (if located) could </b> <b>not be successfully contacted. </b> <b> </b> The overall response rates decreased with time since arrival to the U.S., varying from 20 percent for FY 2011-2012 refugees to 25 percent for FY 2013-2014 refugees and a high of 31 percent for FY 2015 refugees.
description: The 2016 ASR employed a stratified probability sample design of refugees. The first stage of selection was the household (PA), and the second stage was the selection of persons within households.
description: Refugees aged 16 years old or over at the time of interview who arrived in the U.S. during FY 2011-2015 . Smallest Geographic Unit: Census region originally resettled in and the country of birth
description: telephone interview;
DOI: 10.25582/data.2024-04.3088413/2555009
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088414/2555010
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088415/2555011
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088416/2555012
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088417/2555013
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088418/2555014
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088419/2555015
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088420/2555016
title: Data for EMSL Project 51287 from April 2024
DOI: 10.7910/dvn/hwrj4y/t4y4t7
title: 20-1_0131.dcm
DOI: 10.7910/dvn/r0hcq6/39c279
title: 61-1_0225.dcm
DOI: 10.7910/dvn/r0hcq6/jlayo6
title: 61-5_0101.dcm
DOI: 10.7910/dvn/r0hcq6/mo2qo9
title: 61-1_0049.dcm
DOI: 10.7910/dvn/r0hcq6/qfzya8
title: 61-5_0008.dcm
DOI: 10.7910/dvn/r0hcq6/w7kkvq
title: 61-5_0187.dcm
DOI: 10.7910/dvn/hwrj4y/7hyboh
title: 20-5_0028.dcm
DOI: 10.7910/dvn/hwrj4y/a119es
title: 20-5_0241.dcm
DOI: 10.7910/dvn/hwrj4y/btgbkz
title: 20-1_0166.dcm
DOI: 10.7910/dvn/hwrj4y/ktcztl
title: 20-1_0009.dcm
DOI: 10.7910/dvn/hwrj4y/mop1ce
title: 20-5_0058.dcm
DOI: 10.7910/dvn/hwrj4y/ozmudc
title: 20-5_0184.dcm
DOI: 10.7910/dvn/hwrj4y/rbnzzw
title: 20-5_0009.dcm
DOI: 10.7910/dvn/hwrj4y/zj9lgh
title: 20-5_0168.dcm
DOI: 10.7910/dvn/r0hcq6/8so1fs
title: 61-5_0061.dcm
DOI: 10.7910/dvn/r0hcq6/csp5fq
title: 61-1_0184.dcm
DOI: 10.7910/dvn/r0hcq6/glvsep
title: 61-5_0116.dcm
DOI: 10.7910/dvn/r0hcq6/j22edz
title: 61-5_0081.dcm
DOI: 10.7910/dvn/r0hcq6/keises
title: 61-5_0115.dcm
DOI: 10.7910/dvn/r0hcq6/otuqee
title: 61-5_0132.dcm
DOI: 10.7910/dvn/r0hcq6/s63gqp
title: 61-1_0124.dcm