cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/b5a7c766f864637b8ebfbf316d8bd5fa
title: LiDAR-based Digital Elevation Model for Northampton and Accomack Co., VA, 2010

description: This dataset contains a bare-earth digital elevation model (DEM) for Northampton and Accomack Counties, Virginia based on data collected March 25-30, 2010 and processed to yield bare-earth elevations. It was created using LiDAR by Sanborne Geosystems under a contract with the Virginia Information Technologies Agency (VITA) with funding from The Nature Conservancy, USGS and the Virginia Coast Reserve Long-term Ecological Research project of the University of Virginia. Original LiDAR point data (approximately 1 meter spacing) was used to create a digital elevation model (DEM) with a cell resolution of 10 ft. (3.048 m). The DEM data layer is in the State Plane coordinate system (U.S. Feet) and uses the NAVD88 vertical datum with the 2009 Geoid for elevation in feet. As detailed in the included quality report, elevations are accurate to 0.65 feet or better. Water areas have been hydroflattened and may also include salt marsh areas that were inundated at the time of the flights. As a result, water areas were given a default minimum elevation below the minimum elevation measured by LiDAR over a given area and dependent on tidal cycle. Areas at or below this minimum elevation within the water mask may include salt marsh and tidal flats as well as open water. The elevation of the hydroflattening varies spatially. Salt marsh areas within the water mask were later determined by VCRLTER staff based on the following factors: (1) present as marsh (code 18) in the NOAA CCAP 2006 land cover layer and not included as an open water feature in the 2010 USGS National Hydrography Dataset, (2) minimum contiguous area of 1800 square meters, approximately equal to two 30 meter resolution CCAP pixel cells, and (3) includes extensive areas of salt marsh within north-south flight line â€œstripesâ€, primarily the seaside lagoons and marshes south of Parramore Island and the town of Wachapreague plus Chesapeake Bay marshes immediately north of Tangier Island (and excludes edge-only areas elsewhere). Two polygon shapefiles have been added to this dataset: one shapefile shows the region-specific water masks and includes the elevation of the masks (in meters, not feet); the other shapefile shows areas of saltmarsh hidden within the water mask and includes a recommended replacement elevation (0.404 meters) based on the average above-water-mask LiDAR elevations of all CCAP-minus-NHD-water-determined marshes of all seaside marshes south of Chincoteague Inlet. The two polygon shapefiles have been reprojected to the WGS84 UTM zone 18N coordinate system, and the NAVD88 vertical elevations converted from feet to meters.
DOI: 10.3886/e112890v1-104220
title: Replication data for: Fiscal Volatility Shocks and Economic Activity

description: We study how unexpected changes in uncertainty about fiscal policy affect economic activity. First, we estimate tax and spending processes for the United States with time-varying volatility to uncover evidence of time-varying volatility. Second, we estimate a VAR for the US economy using the time-varying volatility found in the previous step. Third, we feed the tax and spending processes into an otherwise standard New Keynesian model. Both in the VAR and in the model, we find that unexpected changes in fiscal volatility shocks can have a sizable adverse effect on economic activity. An endogenous increase in markups is a key mechanism. (JEL E12, E23, E32, E52, E62)
DOI: 10.5281/zenodo.5773208
title: Heatwave breaks down the linearity between sun-induced fluorescence and gross primary production. Reproducible workflow

description: Dataset for manuscript entitled "Heatwave breaks down the linearity between sun-induced fluorescence and gross primary production" accepted for publication in New Phytologist. The dataset was obtained for the site Majadas del Tietar, Spain, between June/2018 and August/2018. It consists of eddy covariance data, sun-induced fluorescence data and active fluorescence data.
DOI: 10.5281/zenodo.5546041
title: Heatwave breaks down the linearity between sun-induced fluorescence and gross primary production. Reproducible workflow

description: Dataset for manuscript entitled "Heatwave breaks down the linearity between sun-induced fluorescence and gross primary production" accepted for publication in New Phytologist. The dataset was obtained for the site Majadas del Tietar, Spain, between June/2018 and August/2018. It consists of eddy covariance data, sun-induced fluorescence data and active fluorescence data.
DOI: 10.25773/nm2b-hy57
title: Supporting Data: Controls on Sediment Bed Erodibility in a Muddy, Partially-Mixed Tidal Estuary, York River, Virginia
DOI: 10.6073/pasta/1b77f4c8d8cc250ce0f90bbb17d9c976
title: Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER Summer 2009.

description: Yearly file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situwith Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR.
DOI: 10.6084/m9.figshare.17054096
title: BACTRAC SCFA Data.xlsx

description: This data is taken from the BACTRAC Registry, which allows for isolation of blood during thrombectomy following acute ischemic stroke in human patients. The data identifies proteomics, SCFA levels, patient demographics, and stroke severity parameters. This specific data set was used for the following study:<br> <b>Short Chain Fatty Acids Taken at Time of Thrombectomy in Acute Ischemic Stroke Patients are Independent of Stroke Severity but Associated with Inflammatory Markers and Worse Symptoms at Discharge</b>
DOI: 10.6073/pasta/fe39ba68a7e5c09d0ffa668269e086bd
title: Hourly Meteorological Data for the Virginia Coast Reserve LTER 1989-present

description: Data from VCR/LTER meteorological stations is listed in comma-separated-value (CSV) files by year. A combined file for all years is also available, sorted by station, date and time, however, unlike the annual files, this combined file is too large for most spreadsheets to handle. A compressed copy of all the .CSV files is included in a single .ZIP file for users who wish to conveniently download a copy of all the data.
DOI: 10.6073/pasta/ed950784916fa733e2f65cf84f195eb5
title: Bathymetric Values From Contour Map Digitizing

description: As part of the Long Term Ecological Research in the McMurdo Dry Valleys of Antarctica, bathymetric data was collected for Lakes Hoare, Fryxell and Bonney. This table contains the values for depth, perimeter length, polygon area and total area per contour used for contour map digitizing.
DOI: 10.24431/rw1k5ba
title: Somatic growth processes in the Pacific halibut (Hippoglossus stenolepis) and their response to temperature, density and stress manipulation effects

description: This dataset includes Pacific halibut (Hippoglossus stenolepis) physiological growth data and was generated with funding from NPRB Core Project 1704.
DOI: 10.6073/pasta/ff26e33c1cf34ab11d55efaf3569d0e6
title: Integrated Topography and Bathymetry for the Eastern Shore of Virginia

description: VERSION 2.0 DEM Description This dataset integrates elevation and bathymetry data from multiple sources into a single mostly-seamless digital elevation model (DEM) that covers the entire Eastern Shore of Virginia and its surrounding coastal waters. Data sources include airborn LiDAR, VCRLTER and ODU bathymetric surveys, NOAA navigational data, NOS oceanographic surveys, USGS NED data plus contours and features from topo quad maps, and VGIN-VBMP aerial imagery. Proposed uses for the dataset include deriving detailed watershed boundaries, hypsometric curves, tidal prisms, 3-D physical models, and input for numerical hydrodynamic simulation models. The version 2.0 DEM (August 2014) is suitable for both local- and regional-scale analyses. It has a resolution matched to the LiDAR data (3.048 m. or 10 ft.), resulting in 31,152 x 46,002 cells (5.4 Gigabyte in ESRI GRID format). Users can aggregate to coarser cell resolutions as needed. The data is projected in UTM Zone 18 North coordinates relative to the WGS84 horizontal datum. All elevations are in meters relative to the NAVD88 vertical datum. Spatially modelled conversion factors between NAVD88 and local sea level datums (MSL, MLW, MHW, etc.) based on NOAA VDATUM data are available as a separate dataset (VCR13215). See "METHODS" for full details on data sources and integration methodologies.
DOI: 10.6084/m9.figshare.14050610
title: Dataset SARS-CoV2-cytokines y2021m02 [50]

description: <b>Comparison of cytokines levels among COVID-19 patients living at sea level and high altitude</b> <b>ABSTRACT</b> <b>Objective:</b> The objective of this study was to compare the levels of pro-inflammatory cytokines (IL-6, IL-2, IL-10, INF-α and IFN-γ) in COVID-19 patients and healthy subjects, residing in two cities of Peru at different altitudes. <b>Results:</b> A total of 35 COVID-19 patients and 10 healthy subjects were recruited from each study site. The mean levels of IL-6 (p&lt;0.03) and TNF-α (p&lt;0.01) were significantly different among the study groups. In the case of IL-6, patients from Lima had a mean level of 16.2 pg/ml (healthy) and 48.3 pg/ml (COVID-19), meanwhile, patients from Huaraz had levels of 67.3 pg/ml (healthy) and 97.9 pg/ml (COVID-19). Regarding TNF-α, patients from Lima had a mean level of 25.9 pg/ml (healthy) and 61.6 pg/ml (COVID-19), meanwhile, patients from Huaraz had levels of 89.0 pg/ml (healthy) and 120.6 pg/ml (COVID-19). The levels of IL-2, IL-10 and IFN-γ) were not significantly different in the study groups.
DOI: 10.25919/81fg-bq34
title: Parkes observations for project P885 semester 2021OCTS_05

description: We request a reduced monitoring cadence for the magnetars 1E 1547.0-5408 and Swift J1818.0-1607 to once every 10 days, to track their rotation, flux density, and polarisation. Swift J1818.0-1607 remains very dynamic, and the unique UWL capabilities promise new opportunities to probe still mysterious radio emission mechanisms in magnetars. Our timing results indicate that 1E 1547.0-5408 is currently a more stable rotator, supporting the diminished cadence. We will observe XTE J1810-197 and PSR J1622-4950 less frequently, to complement monitoring elsewhere. The overall request is 18 hours.
DOI: 10.6084/m9.figshare.17148974.v1
title: supplementary table.docx

description: DU clinical data
DOI: 10.6073/pasta/f73dc8408dae42aea4e0115fe5e62f52
title: Groundwater Levels at Phillips Creek Marsh, VA 2012-present

description: This dataset contains information on water level and temperature in a series of groundwater wells in Phillips Creek Marsh, near Nassawadox, VA on the Eastern Shore of Virginia. Data on temperature and water pressure are collected every 12 minutes using automated "Ceradiver" data loggers and transformed following atmospheric adjustment into water levels. This dataset extends previous measurements using different technologies for three of the wells included in dataset: "Ground Water Level at Brownsville and Hog Island, VA 1997-2009" (knb-lter-vcr.142). The Creekbank (CB), High Marsh (BH) and Tracy2 sites are the CB1, JUNCUS2 and BW3 sites in this dataset, respectively.
DOI: 10.6084/m9.figshare.17148974.v2
title: supplementary table.docx

description: DU clinical data
DOI: 10.6084/m9.figshare.17152691
title: Data and code to replicate the analysis in "Resource pulses and human-wildlife conflicts: Linking satellite indicators and ground data on forest productivity to predict brown bear damages"

description: These datasets include processed data to run the analyses needed to (1) estimate the response of bear damage to year-to-year variation in beechnut production; (2) model and predict the variability in beechnut production as a response of weather cues of masting and remote-sensing indicators of vegetation growth and phenology. The raw data was compiled from the official databases of the organization responsible for damage compensation in the study area and from different online sources. Along with the data we provide METADATA files with the information about each variable present in each dataset. We also provided the analysis code (R script) used to generate statistics and some of the figures. For references and details about data processing, and analysis we refer to the original publication and its Supporting Information.
DOI: 10.6084/m9.figshare.17152691.v2
title: Data and code to replicate the analysis in "Resource pulses and human-wildlife conflicts: Linking satellite indicators and ground data on forest productivity to predict brown bear damages"

description: These datasets include processed data to run the analyses needed to (1) estimate the response of bear damage to year-to-year variation in beechnut production; (2) model and predict the variability in beechnut production as a response of weather cues of masting and remote-sensing indicators of vegetation growth and phenology. The raw data was compiled from the official databases of the organization responsible for damage compensation in the study area and from different online sources. Along with the data we provide METADATA files with the information about each variable present in each dataset. We also provided the analysis code (R script) used to generate statistics and some of the figures. For references and details about data processing, and analysis we refer to the original publication and its Supporting Information.
DOI: 10.5517/ccdc.csd.cc28qk4q
title: CCDC 2107043: Experimental Crystal Structure Determination

description: Related Article: Akito Nakai, Jinseok Kim, Takayuki Tanaka, Dongho Kim, Atsuhiro Osuka|2021|Angew.Chem.,Int.Ed.|60|26540|doi:10.1002/anie.202112023
DOI: 10.5517/ccdc.csd.cc28qk5r
title: CCDC 2107044: Experimental Crystal Structure Determination

description: Related Article: Akito Nakai, Jinseok Kim, Takayuki Tanaka, Dongho Kim, Atsuhiro Osuka|2021|Angew.Chem.,Int.Ed.|60|26540|doi:10.1002/anie.202112023
DOI: 10.5517/ccdc.csd.cc28rqh8
title: CCDC 2108170: Experimental Crystal Structure Determination

description: Related Article: Yang Lu, Meng-Meng Xu, Zhi-Mao Zhang, Junliang Zhang, Quan Cai|2021|Angew.Chem.,Int.Ed.|60|26610|doi:10.1002/anie.202112223
DOI: 10.6073/pasta/32a23b050a30bf633196a2c06486d26c
title: Salt River Wetlands denitrification rate, dissimilatory nitrate reduction to ammonium rate, dissolved organic nitrogen concentration in June 2016 as well as soil porosity and bulk density

description: Raw and derived data used to calculate denitrification and dissimilatory nitrate to ammonium (DNRA) from push-pull experiments with added isotopically labelled nitrate. Experiments were conducted in 2016 in the Salt River Accidental Wetlands in three different patch types: Unvegetated, dominated by Ludwigia peploides, and dominated by Typha species (T. domingensis and T. latifolia). Data include start and end of incubation concentration of nitrate, ammonium, atom percent 15N in ammonium, dissolved organic carbon, excess mass 29-N2, and excess mass 30-N2. Soil data was collected from the same patch types including soil moisture, porosity, and bulk density.
DOI: 10.34740/kaggle/dsv/2912627
title: Cryptocurrency extra data - Bitcoin Cash
DOI: 10.6084/m9.figshare.17161412
title: Flora of Espírito Santo, Brazil – Plants in the clouds: vascular epiphytes of Pedra Azul, a mountain top in Espírito Santo, Southeastern Brazil (Supplementary Material)

description: Table S1 – List of vascular epiphyte species recorded in the Pedra Azul State Park and the neighboring area, Domingos Martins, Espírito Santo, Brazil.<br>This Supplementary Material is part of <b> </b><b>http://dx.doi.org/10.1590/2175-7860202273025</b>
DOI: 10.6084/m9.figshare.17161412.v1
title: Flora of Espírito Santo, Brazil – Plants in the clouds: vascular epiphytes of Pedra Azul, a mountain top in Espírito Santo, Southeastern Brazil (Supplementary Material)

description: Table S1 – List of vascular epiphyte species recorded in the Pedra Azul State Park and the neighboring area, Domingos Martins, Espírito Santo, Brazil.<br>This Supplementary Material is part of <b> </b><b>http://dx.doi.org/10.1590/2175-7860202273025</b>
DOI: 10.6073/pasta/2a7953ef7652e461bff6b32a425a063e
title: Salt River Wetlands denitrification rate, dissimilatory nitrate reduction to ammonium rate, dissolved organic nitrogen concentration in June 2016 as well as soil porosity and bulk density

description: Raw and derived data used to calculate denitrification and dissimilatory nitrate to ammonium (DNRA) from push-pull experiments with added isotopically labelled nitrate. Experiments were conducted in 2016 in the Salt River Accidental Wetlands in three different patch types: Unvegetated, dominated by Ludwigia peploides, and dominated by Typha species (T. domingensis and T. latifolia). Data include start and end of incubation concentration of nitrate, ammonium, atom percent 15N in ammonium, dissolved organic carbon, excess mass 29-N2, and excess mass 30-N2. Soil data was collected from the same patch types including soil moisture, porosity, and bulk density.
DOI: 10.6084/m9.figshare.17161358.v2
title: Base de datos_publicacionesde 1960-junio de 2021.xlsx

description: La información científica es valiosa para la formulación de políticas y las decisiones de políticas públicas. Este estudio evalúa si la investigación científica enfocada en la región de Amazonas (norte de Perú) engloba los planteamientos y visión general de los cinco componentes estratégicos regionales del Plan de Desarrollo Regional Concertado (CRDP). En este estudio, se identificaron 386 artículos científicos centrados en la región de Amazonas durante el período 1960-2021 (75 en SciElo, 311 en Scopus / Web of Science).
DOI: 10.6084/m9.figshare.17161358
title: Base de datos_publicacionesde 1960-junio de 2021.xlsx

description: La información científica es valiosa para la formulación de políticas y las decisiones de políticas públicas. Este estudio evalúa si la investigación científica enfocada en la región de Amazonas (norte de Perú) engloba los planteamientos y visión general de los cinco componentes estratégicos regionales del Plan de Desarrollo Regional Concertado (CRDP). En este estudio, se identificaron 386 artículos científicos centrados en la región de Amazonas durante el período 1960-2021 (75 en SciElo, 311 en Scopus / Web of Science).
DOI: 10.6084/m9.figshare.17161358.v1
title: Base de datos_publicacionesde 1960-junio de 2021.xlsx

description: La información científica es valiosa para la formulación de políticas y las decisiones de políticas públicas. Este estudio evalúa si la investigación científica enfocada en la región de Amazonas (norte de Perú) engloba los planteamientos y visión general de los cinco componentes estratégicos regionales del Plan de Desarrollo Regional Concertado (CRDP). En este estudio, se identificaron 386 artículos científicos centrados en la región de Amazonas durante el período 1960-2021 (75 en SciElo, 311 en Scopus / Web of Science).
DOI: 10.5281/zenodo.1307781
title: Lab513/Zcell Datasets

description: <strong>Dataset to be used with Zcell software (https://github.com/Lab513/Zcells)</strong> This dataset contains Z-stacks, training sets, trained classifiers (both SVMs and Random Forests) and classification results for different organisms and setups: Escherichia coli (agar pads and "mother machine" microfluidic device), yeast in microfluidic device, and mammalian cells. The Z-stacks are available both as multi-page TIFF files, and as MAT files that are formatted to be used as inputs to our software. The other files are saved as MAT files that are formatted to work with our software. Details on those formats can be found on the software's wiki at https://github.com/Lab513/Zcells/wiki
description: {"references": ["Lugagne et al., Scientific Reports, 2018"]}
DOI: 10.5281/zenodo.1307780
title: Lab513/Zcell Datasets

description: <strong>Dataset to be used with Zcell software (https://github.com/Lab513/Zcells)</strong> This dataset contains Z-stacks, training sets, trained classifiers (both SVMs and Random Forests) and classification results for different organisms and setups: Escherichia coli (agar pads and "mother machine" microfluidic device), yeast in microfluidic device, and mammalian cells. The Z-stacks are available both as multi-page TIFF files, and as MAT files that are formatted to be used as inputs to our software. The other files are saved as MAT files that are formatted to work with our software. Details on those formats can be found on the software's wiki at https://github.com/Lab513/Zcells/wiki
description: {"references": ["Lugagne et al., Scientific Reports, 2018"]}
DOI: 10.5281/zenodo.5773280
title: Monthly TSI for "Prospects for Detecting Accelerated Global Warming"

description: Stitched monthly TSI reconstruction as used in:<br> Richardson M "Prospects for Detecting Accelerated Global Warming"<br> Submitted to: Geophys. Res. Lett. 2021 This is constructed from daily PMOD, SORCE and TSIS data, with linear interpolation between missing values before taking the monthly average.<br> <br> Please cite the original data sources:<br> PMOD: ftp://ftp.pmodwrc.ch/pub/data/irradiance/composite/composite_42_65_1709.dat and: https://doi.org/10.1007/s11214-006-9046-5<br> SORCE-TIM: http://lasp.colorado.edu/data/sorce/tsi_data/daily/sorce_tsi_L3_c24h_latest.txt and: https://doi.org/10.1007/s11207-005-7446-4<br> TSIS: http://lasp.colorado.edu/data/tsis/tsi_data/tsis_tsi_L3_c24h_latest.txt and: https://doi.org/10.5067/TSIS/TIM/DATA306
DOI: 10.5281/zenodo.5773279
title: Monthly TSI for "Prospects for Detecting Accelerated Global Warming"

description: Stitched monthly TSI reconstruction as used in:<br> Richardson M "Prospects for Detecting Accelerated Global Warming"<br> Submitted to: Geophys. Res. Lett. 2021 This is constructed from daily PMOD, SORCE and TSIS data, with linear interpolation between missing values before taking the monthly average.<br> <br> Please cite the original data sources:<br> PMOD: ftp://ftp.pmodwrc.ch/pub/data/irradiance/composite/composite_42_65_1709.dat and: https://doi.org/10.1007/s11214-006-9046-5<br> SORCE-TIM: http://lasp.colorado.edu/data/sorce/tsi_data/daily/sorce_tsi_L3_c24h_latest.txt and: https://doi.org/10.1007/s11207-005-7446-4<br> TSIS: http://lasp.colorado.edu/data/tsis/tsi_data/tsis_tsi_L3_c24h_latest.txt and: https://doi.org/10.5067/TSIS/TIM/DATA306
DOI: 10.25493/tmfg-6fq
title: Layer-specific distributions of segmented cells in Area hOc2 (V2, 18) of BigBrain

description: This dataset contains cortical image patches of the cytoarchitectonic Area hOc2 (V2, 18), extracted from microscopic scans of the original tissue sections of the BigBrain model ([Amunts et al., 2013](https://www.science.org/doi/10.1126/science.1235381)), together with manual annotations of cortical layers and automatic segmentations of cell bodies, as well as individual and averaged reports of cortical thicknesses and densities of cells. The histological sections were prepared as described in the original publication of the BigBrain. The cell instance segmentations have been computed using openly accessible code ([https://github.com/FZJ-INM1-BDA/celldetection](https://github.com/FZJ-INM1-BDA/celldetection)) and a pre-trained model for Contour Proposal Networks (CPN; preprint at [https://arxiv.org/abs/2104.03393](https://arxiv.org/abs/2104.03393)).
DOI: 10.17632/69mtm6rhm9.1
title: Lower limb amputated patients data for 10 years in single center.

description: from 2011 to 2020
DOI: 10.17632/pwybbtgrbk.1
title: Fecal microbiota from MRL/Lpr mice exacerbates pristane induced lupus

description: Object: To investigate the influences of the fecal microbiota transplantation from the MRL strains on the pristane-induced lupus mice from the phenotypic, immunological and microbial aspects.

The following data include the figures and tables presented in the manuscript and supplementary files as well as the original data relevant with the figures.