cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e209426v1
title: Data and Code for: Sticky Wages on the Layoff Margin

description: We design and field an innovative survey of unemployment insurance (UI) recipients that yields new insights about wage stickiness on the layoff margin. A majority of UI recipients express a willingness to accept wage cuts of 5-10 percent to save their jobs, and one third would accept a 25 percent pay cut. Yet worker-employer discussions about cuts in pay, benefits or hours in lieu of layoffs are exceedingly rare. When asked why employers don't propose job-saving pay cuts, four-in-ten UI recipients don't know. Sixteen percent say cuts would undermine morale or lead the best workers to quit, and 36 percent don't think wage cuts would save their jobs. For lost union jobs, 45 percent say contracts prevent wage cuts. Among those on permanent layoff who reject our hypothetical pay cuts, half say they have better outside options, and 38 percent regard the proposed pay cut as insulting. About one-fourth of the layoffs in our sample violate the condition for bilaterally efficient separations in leading theories of job separations, frictional unemployment, and job ladders. We draw on our findings and other evidence to assess theories of wage stickiness and its role in layoffs.
DOI: 10.5067/eetscfbdblx6
title: Joint Polar Satellite System (JPSS) 1 Cross-track Infrared Sounder (CrIS) Level 1B Full Spectral Resolution Version2
DOI: 10.5281/zenodo.10459588
title: Sexually Dimorphic Newt experiment

description: Mesocosm means per response variable and prey species
DOI: 10.5281/zenodo.3688695
title: Reference Windfarm database PDkhi 0

description: Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 0 degree inflow wind direction angle (Casename PDkhi 0) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.5281/zenodo.3688714
title: Reference Windfarm database CNk2 30

description: Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 30 degree inflow wind direction angle (Casename CNk2 30) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.5281/zenodo.3688716
title: Reference Windfarm database PDk 90

description: Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 90 degree inflow wind direction angle (Casename PDk 90) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.5281/zenodo.3689305
title: Reference Windfarm database CNk2 60

description: Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 60 degree inflow wind direction angle (Casename CNk2 60) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.5281/zenodo.3689314
title: Reference Windfarm database CNk8 0

description: Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 0 degree inflow wind direction angle (Casename CNk8 0) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.5281/zenodo.3833233
title: Global ocean dimethyl sulfide climatology estimated from observations and an artificial neural network

description: Surface ocean DMS concentrations and sea-to-air flux estimated using an Artificial Neural Network model. DMS_Concentration_monthly_mean.csv and DMS_Flux_Wang2020.mat are previous versions based on BGD paper. DMS_clim_Wang20_v1.mat and Sea2Air_Flux_Wang20_v1.mat are newer versions based on BGD paper revision. PMEL_NAAMES_* data are raw DMS data along with environmental parameters, so interested user can play with the models. The ANN models can be found in the the following repository: https://github.com/weileiw/ANN-DMS-code
DOI: 10.5281/zenodo.5515246
title: Global rooting zone water storage capacity and rooting depth estimates

description: Global rooting zone water storage capacity (<em>S</em><sub>CWDX80</sub>, mm) and rooting depth (<em>z</em><sub>CWDX80</sub>, mm) estimates from Stocker et al., (2021). Please cite pre-print: Benjamin D. Stocker, Shersingh Joseph Tumber-Davila, Alexandra G. Konings, Martha B. Anderson, Christopher Hain bioRxiv 2021.09.17.460332; doi: https://doi.org/10.1101/2021.09.17.460332 Usage: Note that no data was removed post-hoc and values of individual gridcells may lie outside a physically meaningful range.
DOI: 10.5281/zenodo.6412501
title: Host Faults Database of central Italy

description: The “<strong>Q-host faults database</strong>” is an original compilation, on a GIS platform, of Quaternary faults hosting the Structural Sites (SS) of the QUIN 1.0 database and neighboring to them. It is supplementary to: QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy by: Giusy Lavecchia<sup>1,2</sup>, Simone Bello<sup>1,2*</sup>, Carlo Andrenacci<sup>1,2</sup>, Daniele Cirillo<sup>1,2</sup>, Federica Ferrarini<sup>1,2</sup>, Noemi Vicentini<sup>1,2</sup>, Rita de Nardis<sup>1,2</sup>, Gerald Roberts<sup>3</sup>,<sup> </sup>Francesco Brozzetti<sup>1,2</sup> <em>1: DiSPuTer - Dipartimento di Scienze Psicologiche, della Salute e del Territorio, Università G. d’Annunzio Chieti-Pescara, Chieti, Italy. 2: CRUST - Centro inteRUniversitario per l’analisi Sismotettonica Tridimensionale, Chieti, Italy. 3: Department of Earth and Planetary Sciences, Birkbeck, University of London</em> <em>Corresponding author: Simone Bello (simone.bello@unich.it). </em>
DOI: 10.6084/m9.figshare.28152632
title: SPAR-4 and sustainable operations: A meta-analytic breakthrough

description: This study aims to meticulously examine the literature on analytics, operations and sustainability through assessment of contributing publications, nations, authors, and keywords that can provide new perspectives for the research domain.
DOI: 10.1594/pangaea.862046
title: Hydrochemistry of water samples during METEOR cruise M92
DOI: 10.17632/55s6mczd9r.1
title: Supplementary materials-Impact of nitrate and 3-nitrooxypropanol on the carbon footprint of milk from cattle produced in confined-feeding systems across regions in the United States: A life cycle analysis

description: 
It is estimated that enteric methane (CH4) contributes about 70% of all livestock greenhouse gas (GHG) emissions. Several studies indicated that feed additives such as 3-nitrooxypropanol (3-NOP) and nitrate have great potential to reduce enteric emissions. The objective of this study was to determine the net effects of 3-NOP and nitrate on farmgate milk carbon footprint across various regions of the United States and to determine the variability of carbon footprint. A cradle-to-farmgate life cycle assessment was performed to determine regional and national carbon footprint to produce 1 kg of fat- and protein-corrected milk (FPCM). Records from 1,355 farms across 37 states included information on herd structure, milk production and composition, cattle diets, manure management, and farm energy. Enteric CH4, manure CH4, and nitrous oxide were calculated with either the widely used Intergovernmental Panel on Climate Change Tier 2 or region-specific equations available in the literature. Emissions were allocated between milk and meat using a biophysical allocation method. Impacts of nitrate and 3-NOP on baseline regional and national carbon footprint were accounted for using equations adjusted for dry matter intake and neutral detergent fiber. Uncertainty analysis of carbon footprint was performed using Monte Carlo simulations to capture variability due to inputs data. Overall, the milk carbon footprint for the baseline, nitrate, and 3-NOP scenarios were 1.14, 1.09 (4.8% reduction), and 1.01 (12% reduction) kg of CO2- equivalents (CO2-eq)/kg of FPCM across US regions. The greatest carbon footprint for the baseline scenario was in the Southeast (1.26 kg of CO2-eq/kg of FPCM) and lowest for the West region (1.02 kg of CO2-eq/kg of FPCM). Enteric CH4 reductions were 12.4 and 31.0% for the nitrate and 3-NOP scenarios, respectively. The uncertainty analysis showed that carbon footprint values ranged widely (0.88–1.52 and 0.56–1.84 kg of CO2- eq/kg of FPCM within 1 and 2 standard deviations, respectively), suggesting the importance of site-specific estimates of carbon footprint. Considering that 101 billion kilograms of milk was produced by the US dairy industry in 2020, the potential net reductions of GHG from the baseline 117 billion kilograms of CO2-eq were 5.6 and 13.9 billion kilograms of CO2-eq for the nitrate and 3-NOP scenarios, respectively.
DOI: 10.18758/71021048
title: FRM4GHG level2 dataset from the Sodankylä campaign

description: The dataset contains Level2 data from 5 participating remote sensing instruments, namely: 

* Bruker IFS 125HR – operated by Finnish Meteorological Institute (FMI, Finland), 
* Bruker Vertex 70 – operated by Royal Belgian Institute for Space Aeronomy (BIRA-IASB, Belgium) and University of Bremen (Uni. Bremen, Germany), 
* Bruker EM27/SUN – operated by Karlsruhe Institute of Technology (KIT, Germany), 
* Bruker IR Cube – operated by University of Wollongong (Uni. Wollongong, Australia), 
* Laser Heterodyne Radiometer (LHR) – operated by Rutherford Appleton Laboratory (RAL, United Kingdom), 

and an in-situ instrument namely:

* AirCore – operated by University of Groningen (Uni. Groningen, The Netherlands) and Finnish Meteorological Institute (FMI, Finland). 


At a minimum of 2 months prior to publication or presentation of works that include FRM4GHG data, please, contact the authors and provide a description of the intended publication or presentation. If any of the FRM4GHG partners makes a significant intellectual contribution to the research, or if FRM4GHG data is essential to the work, co-authorship of the FRM4GHG consortium would normally be expected. This should be discussed at an early stage in the work. If none of the FRM4GHG partners responds after 3 emails distributed over a 2-months period, the data are licensed under a cc-by 4.0 license.
DOI: 10.21944/omi-modis-aerosol-direct-effect
title: OMI-MODIS aerosol direct radiative effect over clouds, version 1.0

description: The OMI-MODIS above-cloud aerosol Direct Radiative Effect (DRE) database is available for all cloud scenes in an area over the south-east Atlantic (20W - 10E, 20S - 10N) from 2002 to present during the months June - October. This is a period of massive vegetation burning in southern Africa during the dry season and often smoke plumes can be observed drifting over the Atlantic ocean. The aerosol DRE from OMI-MODIS indicates the warming effect of the smoke when it overlies clouds due to absorption of sunlight. This is measured in Watts per square meter (W/m2). <br> The data are accompanied by images that show an overview of the warming effect on a particular day. The OMI-MODIS aerosol DRE is overplotted over MODIS RGB showing clouds. <br> The database is described in the following paper: <br> M. de Graaf, L.G. Tilstra, and P. Stammes, Aerosol direct radiative effect over clouds from a synergy of OMI and MODIS reflectances, Atmos. Meas. Techn., https://doi.org/10.5194/amt-2019-53, 2019, doi:/10.5194/amt-2019-53 <br> For more information, see: http://www.temis.nl/climate/adre.html
DOI: 10.3334/cdiac/spruce.001
title: SPRUCE Environmental Monitoring Data: 2010-2016

description: This data set reports selected ambient environmental monitoring data from the S1 bog for the period June 2010 through December 2016. Measurements of the environmental conditions at these stations serve as a pre-treatment baseline for experimental treatments and provide driver data for future modeling activities. There are/were three monitoring sites located in the bog: Stations 1 and 2 are co-located at the southern end of the bog and Station 3 is located north central and adjacent to an existing U.S. Forest Service monitoring well. The stations are equipped with standard sensors for measuring meteorological parameters, solar radiation, soil temperature and moisture, and groundwater temperature and elevation. All measurements were made at the 8.1-ha S1 bog forest site in northern Minnesota, 40 km north of Grand Rapids, in the USDA Forest Service Marcell Experimental Forest (MEF). See Table 1 for a list of measurements.
DOI: 10.3334/cdiac/spruce.013
title: SPRUCE Deep Peat Heating (DPH) Environmental Data, February 2014 through July 2015

description: This data set provides a record of the half-hourly automated environmental data collected for 14 SPRUCE plots (4, 5, 6, 7, 8, 10, 11, 13, 14, 16, 17, 19, 20, and 21) during the Deep Peat Heating (DPH) study. In June 2014, deep soil heating was initiated at 5 warming levels (+0, +2.25, +4.5, +6.75 and +9 °C) with 2 replicate plots per level. Measurements were underway before the initiation of heating treatments and continued through July 27 of 2015 at the transition to whole-ecosystem warming manipulations. The DPH study was undertaken to evaluate possible rapid responses of deep peat carbon (C) stocks, microbial communities, and biogeochemical cycling processes to unprecedented temperatures. Warming levels at depth were achieved over a 25 (+ 2.25 °C) to 60-day (+9 °C) period depending on the target treatment temperatures.
DOI: 10.5067/aate4jj91ehc
title: IceBridge UAF Lidar Scanner L1B Geolocated Surface Elevation Triplets, Version 1
DOI: 10.5067/suborbital/oracles/er2/2016_v2
title: Aerosol, cloud and related data acquired aboard ER2 during ORACLES 2016, Version 2
DOI: 10.5067/w2kxx0mynj9g
title: IceBridge HiCARS 1 L1B Time-Tagged Echo Strength Profiles, Version 1
DOI: 10.5281/zenodo.3688440
title: Reference Windfarm database PDk 0

description: Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 0 degree inflow wind direction angle (Casename PDk 0) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.5281/zenodo.3688636
title: Reference Windfarm database PDk 30

description: Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 30 degree inflow wind direction angle (Casename PDk 30) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.5281/zenodo.3689689
title: Reference Windfarm database CNk4 30

description: Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 30 degree inflow wind direction angle (Casename CNk4 30) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.5281/zenodo.3689733
title: Reference Windfarm database CNk4 90

description: Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 90 degree inflow wind direction angle (Casename CNk4 90) Included Python files for loading and visualizing the data. Use the plot_*.py files. Further information, including description of the case and dataset can be found in the deliverable report at: https://cordis.europa.eu/project/id/727680/results "Database for reference wind farms part 2: windfarm simulations"
DOI: 10.15468/dl.ywtvpa
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syzygium jambosoides (Lauterb.) Merr. & L.M.Perry"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008128-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4f747
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa multiflora Reyn. ex Rchb."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008129-250127130748423/datasets/export for details.
DOI: 10.25959/35a3-vr35
title: Datasets collated for quantifying the ecosystem services of the Great Southern Reef
DOI: 10.15468/dl.dpbujr
title: Occurrence Download

description: A dataset containing 26517 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lespedeza cuneata (Dum.Cours.) G.Don"
 ]
}

 The dataset includes 26517 records from 330 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008130-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n949av
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa multiflora Sims"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008132-250127130748423/datasets/export for details.
DOI: 10.15468/dl.nsfjfk
title: Occurrence Download

description: A dataset containing 12464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vespula pensylvanica (de Saussure, 1857)"
 ]
}

 The dataset includes 12464 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008131-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwjyeb
title: Occurrence Download

description: A dataset containing 26708 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia prostrata Aiton"
 ]
}

 The dataset includes 26708 records from 769 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008133-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7th79
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.6441 36.96853,-4.61029 36.96853,-4.61029 36.9878,-4.6441 36.9878,-4.6441 36.96853))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182725-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qqkug
title: Occurrence Download

description: A dataset listing the 19 species recorded in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haloragaceae",
 "StateProvince is Texas",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 19 records were derived from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279952-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc8khr
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Distribution, natural history, and conservation of Cambarus dubius in Pennsylvania"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185309-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2mmcy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chalcosoma chiron (Olivier, 1789)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185332-220831081235567/datasets/export for details.
DOI: 10.15468/dl.ds8npn
title: Occurrence Download

description: A dataset containing 6303 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is BRA.25.92_2"
 ]
}

 The dataset includes 6303 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279957-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mygm89
title: Occurrence Download

description: A dataset containing 14952 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acropora cervicornis (Lamarck, 1816)"
 ]
}

 The dataset includes 14952 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279950-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atkp95
title: Occurrence Download

description: A dataset containing 318371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-75.78 44.73375,-77.24619 43.91551,-79.64778 43.56649,-80.04866 42.52306,-79.67642 41.60921,-79.01444 41.19733,-76.68518 41.25615,-75.43554 41.21931,-75.78 44.73375))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2017-2022"
 ]
}

 The dataset includes 318371 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182716-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.