cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5284/1101041
title: Digital Archive from Trial Trench Evaluation at 6 West End, Long Whatton, Leicestershire, March 2022

description: This collection comprises images, CAD and site records from trial trench evaluation at land behind 6 West End, Long Whatton. This work was undertaken by Archaeological Research Services Ltd in March 2022. A single trial trench was 15m long by 1.8m wide, set along the axis of the proposed building footprint. The evaluation trench and recording revealed four linear features aligned north to south.
DOI: 10.3886/e209001
title: Data and Code for: Take-up of Social Benefits: Experimental Evidence from France

description: We report on two nationwide experiments with job seekers in France. We first show that a meeting with social services to assess eligibility and help with application to social benefits increased new benefit take-up by 31%. By contrast, an online simulator that gave personalized information on benefit eligibility did not increase take-up. Marginal treatment effects show that individuals who benefit the most from the meetings are the least likely to attend. Overall, without ruling out information frictions, our results suggest that transaction costs represent the main obstacle to applying for benefits or accessing government's assistance to help apply.<br><br>
description: Stratified random sampling.<br>
description: Registered job-seekers in Frnace<br>.
DOI: 10.26023/5wt3-k8pz-2p11
title: Probex Haenam Radiometer Data. Version 1.0

description: This data set contains data from the Probex Radiometrics Radiometer (water vapor band 22-30 GHz and oxygen band 51-59 GHz) located at Haenam, South Korea during the T-PARC field phase. Measurements of brightness temperature, temperature, relative humidity, water vapor density, and liquid water content are available at 2 minute intervals. The data are in a comma-delimited ASCII format and were made available by the Korean Meteorological Administration.
DOI: 10.3886/e209001v1
title: Data and Code for: Take-up of Social Benefits: Experimental Evidence from France

description: We report on two nationwide experiments with job seekers in France. We first show that a meeting with social services to assess eligibility and help with application to social benefits increased new benefit take-up by 31%. By contrast, an online simulator that gave personalized information on benefit eligibility did not increase take-up. Marginal treatment effects show that individuals who benefit the most from the meetings are the least likely to attend. Overall, without ruling out information frictions, our results suggest that transaction costs represent the main obstacle to applying for benefits or accessing government's assistance to help apply.<br><br>
description: Stratified random sampling.<br>
description: Registered job-seekers in Frnace<br>.
DOI: 10.5439/1571643
title: Mesoscale convective system (MCS) database over United States

description: The mesoscale convective system (MCS) database over contiguous United States (CONUS) is a long-term (2004-2016) high-resolution (4 km, 1 hourly) storm system data set that tracks individual MCS events. The MCS database is produced by applying an updated version of the FLEXible object TRaKeR (FLEXTRKR) (Feng et al. 2018) algorithm described in detail in Feng et al. (2019) to the NASA Global MergedIR infrared brightness temperature (Janowiak et al. 2001) and the GridRad mosaic 3D NEXRAD radar data set (Bowman and Homeyer 2017).
DOI: 10.5281/zenodo.17257986
title: Dataset used in "Revealing degradation mechanisms of archaeological flax textiles through the evolution of fibres' parietal polymers by synchrotron deep-UV fluorescence" paper

description: The data provided here are the one used in the study published in the "Revealing degradation mechanisms of archaeological flax textiles throughthe evolution of fibres’ parietal polymers by synchrotron deep-UV fluorescence". 

They have been collected on the DISCO Beamline (proposal number 20230404: DeepUV Hyperspectral and fluorescence images, SHG images), and other facilities for MEB and C14 dating data.

Detailed information on the dataset organisation are given in the README.txt file.
DOI: 10.5281/zenodo.17257985
title: Dataset used in "Revealing degradation mechanisms of archaeological flax textiles through the evolution of fibres' parietal polymers by synchrotron deep-UV fluorescence" paper

description: The data provided here are the one used in the study published in the "Revealing degradation mechanisms of archaeological flax textiles throughthe evolution of fibres’ parietal polymers by synchrotron deep-UV fluorescence". 

They have been collected on the DISCO Beamline (proposal number 20230404: DeepUV Hyperspectral and fluorescence images, SHG images), and other facilities for MEB and C14 dating data.

Detailed information on the dataset organisation are given in the README.txt file.
DOI: 10.5439/2997211
title: CHELAX-BNF: Turbulent Parameters by airborne measurements

description: The original data were collected on board the ARM Aerial Facility ArcticShark uncrewed aerial system (UAS; https://www.arm.gov/capabilities/observatories/aaf/uas ) during the “Characterizing HEterogeneous Land-Atmosphere eXchanges at BNF” field campaign (CHEAX-BNF; https://arm.gov/research/campaigns/aaf2025CHELAX-BNF ). The ARM Aerial Facility ArcticShark UAS was based at the public-use airport of Posey Field, AL (FAA LID: 1M4, 34.28027778° N, 87.60055556° W, 283m MSL) from May 28 through June 23, 2025. The ArcticShark UAS performed 5 flights, including 4 research flights over the BNF Main Site (ARM Mobile Facility 3, https://arm.gov/capabilities/observatories/amf ) and Supplemental Facilities to measure atmospheric state, turbulence, surface IR temperature and imagery, aerosol number concentration, and aerosol size distribution.

The current data set presents a collection of turbulent parameters in the atmospheric boundary layer or lower free troposphere based on airborne measurement throughout the field campaign. The primary instruments used to create the current data set were the Aircraft Integrated Meteorological Measurement System (AIMMS-30) and the fine-wire thermocouple probe.
DOI: 10.15468/dl.5sdb6q
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.7_1, USA.22_1, USA.20_1, USA.30_1, USA.33_1, USA.40_1, USA.46_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphyes bimacula"
 ]
}

 The dataset includes 292 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043500-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11578/2997032
title: MOVi-MC-AC
DOI: 10.11578/2997034
title: NEPATEC2.0: NEPA Text Corpus v2.0

description: The National Environmental Policy Act of 1969, as amended (NEPA), is a major environmental law in the United States, requiring Federal agencies to consider and document potential environmental impacts before deciding on a proposed action. 
Modernization of NEPA and permitting processes faces significant challenges due to the lack of standardized formats and interoperable systems for organizing and sharing NEPA-related information across agencies.
Much of the information gathered during NEPA reviews is written into documents such as categorical exclusions, environmental assessments, and environmental impact statements, then filed in predominately independent agency file stores that may or may not be publicly accessible. 
The application of metadata and data standards, such as those recommended by the Council on Environmental Quality (CEQ), to NEPA documents offers a shared vocabulary and structure for key entities like projects, processes, and documents that can streamline information exchange and enhance collaboration across systems. 
In this work, we publicly release NEPATEC2.0, an expanded corpus of NEPA documents with associated metadata. NEPATEC2.0 encompasses approximately 120,000 documents from 60,000 projects prepared by more than 60 different agencies.
Modeled to align with CEQ metadata standards, NEPATEC2.0 promotes consistency in environmental reviews and supports the ongoing effort to modernize permitting technologies by facilitating more transparent, efficient, and data-driven decision-making. Importantly, NEPATEC2.0 demonstrates the possibilities and limitations of large language model-based prompting to extract information from NEPA documents at scale.
DOI: 10.21948/2997036
title: Encapsulant Thermal Accelerated Aging (90 Celsius, no UV) Experimental Data

description: Chemical and thermal characterization (FTIR-ATR, Soxhlet extraction, DSC) of polymeric encapsulants (EVA, POE, EPE) aged under thermal accelerated aging, without the presence of a UV source
DOI: 10.21948/2997038
title: Coupons (mini-modules) experimental data

description: Adhesion testing results on mini-module coupons (cell/encapsulant/glass laminates) that were aged under the different accelerated aging conditions (outlined more in the DataHub URL).
DOI: 10.26023/h284-g9s4-pe0v
title: T-PARC: Japan Hachijojima High Resolution Radiosonde Data. Version 1.0

description: This is one of the upper air data sets developed for the THORPEX Pacific Asian Regional Campaign (T-PARC). It includes 146 High Resolution Radiosonde soundings from Hachijojima, Japan released during T-PARC. Hachijojima is located approximately 300 km south of Tokyo. The soundings were typically released twice per day (00 and 12 UTC) from 1 August to 1 October 2008, but additional releases were sometimes made. The soundings are in EOL Sounding Composite (ESC) format.
DOI: 10.21948/2997039
title: FTIR analysis of unaged encapsulants

description: Fourier transform infrared spectroscopy (FITR) analysis (in ATR mode) of unaged encapsulants (EVA, POE, EPE) from a commercial source.
DOI: 10.21948/2997042
title: Encapsulant UV Accelerated Aging Experimental Data

description: Chemical and thermal characterization (FTIR-ATR, Soxhlet extraction, DSC) of polymeric encapsulants (EVA, POE, EPE) aged under accelerated aging conditions containing an UV source.
DOI: 10.5439/2997024
title: Profiles of Radiative Fluxes at ENA

description: Profiles of radiative fluxes observed at the Atmospheric Radiation Measurement (ARM)’s Eastern North Atlantic (ENA) observatory along with the ancillary measurements are reported. The below-cloud drizzle properties were derived by combining the data from the ceilometer and Ka-band ARM Zenith Radar (KAZR) following the technique explained by Ghate et al. (2021 JAMC). The cloud and drizzle water path values were derived from the brightness temperatures reported by the microwave radiometer following the technique of Cadeddu et al. (2020 AMT). The cloud water path was then scaled to the KAZR-reported radar reflectivity to calculate profiles of liquid water content (LWC). Following the analysis from Ghate et al. (2023 JGR), cloud droplet effective radius was calculated using the number concentration value of 100 cm-3. The cloud properties, along with the thermodynamic properties, served as an input to the Rapid Radiative Transfer Model (RRTM) to yield profiles of radiative fluxes at a 1-minute temporal and 50-m vertical resolution. The fluxes were then averaged to hourly temporal resolution for analysis. In Mitra et al. (2025 JClim), the calculated profiles were compared against those derived from the satellite measurements (SYN1deg). Flux profiles from the SYN1deg and the thermodynamic and cloud properties used for deriving them are also reported here. Both all-sky and clear-sky radiative flux profiles were calculated. 

Due to the large data volume, the surface and top-of-atmosphere (TOA) radiative fluxes for the six-year period, and the hourly profiles of the radiative fluxes for January 2018, are submitted here. Full profiles of radiative fluxes calculated from the thermodynamic and cloud properties measured at the ENA site at 1-minute temporal and 50-m vertical resolution for a six-year period are available from the authors. 

Six files here correspond to the following data:

1_ENARAD_CERES_with_cld_amount_timeseries.nc: Time-series of hourly values of RRTM-simulated values of upwelling and downwelling fluxes at the surface and TOA, observed boundary-layer cloud fractions, and upwelling and downwelling fluxes from the SYN1deg from July 2015 to January 2022.

2_CERES_2018_at_CERES_levels.nc: SYN1deg radiative fluxes at six levels for the year 2018. 

3_ENARad_2018_at_CERES_levels.nc: RRTM calculated fluxes at the SYN1deg vertical levels for the year 2018.

4_ENARad_rrtminputs_hourly_201801.nc: Thermodynamic and cloud properties used as an input to the RRTM for January 2018. 

5_CERES_inputs_hourly_201801.nc: Thermodynamic and cloud properties utilized by SYN1deg algorithm for January 2018. 

6_ENARAD_hourly_201801.nc: Full profiles of hourly averaged radiative fluxes from the RRTM simulations for January 2018.
DOI: 10.57931/2565654
title: Supporting Information - How Can Crop Production Adapt to growing groundwater restrictions in the West?

description: Abstract
This data plan outlines the structure and content of datasets generated and utilized in the research presented in the manuscript abstract. Groundwater overdraft has led to serious water supply issues in the US West. Most western states manage groundwater use through a permitting system, but California has only recently begun to restrict groundwater use statewide with the 2014 passage of groundwater restrictions which target the elimination of groundwater overdraft practices by 2042. With groundwater extraction curtailed, crop production in the US West (a $95 billion industry annually) will be affected, and appropriate response strategies will be needed to ensure minimal disruption to food production and the regional economy. In this paper, we explore the adoption of alternative adaptive responses: (a) deficit irrigation; (b) switching to less water-intensive crops; (c) changing the extent of irrigated land (including fallowing); and (d) geographically shifting crop production. Employing an integrated modeling approach, we explicitly capture the interactions and feedbacks between local hydrology, changes in crop yields, crop and land use decision-making, changes in crop prices, and regional shifts in crop production. We find that the optimal adaptive response is spatially heterogeneous and comprises a portfolio of strategies. Southwestern states and California will be the most impacted by groundwater restrictions. The optimal responses in these states are to both adopt deficit irrigation strategies and reduce a portion of their irrigated croplands, resulting in a shift in crop production to northwestern states with a larger supply of water. The datasets detailed in this repository represent the output from these integrated models, specifically designed to support the analysis and visualization presented in the manuscript and supplemental information. These datasets, used in conjunction with the scripts available at our associated GitHub repository (https://github.com/pches/Femeena_etal_How_can_crop_production_adapt), enable the reproduction of figures and facilitate a comprehensive understanding of the optimal adaptive strategies in agriculture for mitigating water stress under varying groundwater extraction scenarios, as outlined in the abstract.
DOI: 10.57931/1923267
title: IM3 GO WEST Parameter Search Dataset

description: GO WEST is an open-source power grid modeling framework for U.S. Western Interconnection, which allows users to tailor the model depending on their research study and science questions. It is developed to address weather and water dynamics, and associated vulnerabilities in this bulk power system. It covers 28 balancing authorities (BA) and 12 states in U.S. Western Interconnection. GO WEST allows users to select different number of nodes and come up with a simplified network by utilizing 10,000 nodal topology of U.S. Western Interconnection created by Texas A&M University. Users can try and select different number of nodes, mathematical formulations (linear programming vs. mixed-integer linear programming), transmission line limit scaling factors,  and hurdle rate scaling factors. GO WEST offers a unit commitment and economic dispatch (UC/ED) module to simulate grid operations on an hourly scale. In this sense, users can calibrate and validate their model versions by comparing model outputs to historical datasets. Therefore, GO WEST can help researchers to strike a balance between model fidelity  (i.e. accuracy) and computational complexity (i.e. runtime). 
This dataset includes model inputs and outputs from 600 model versions for each 2019, 2020, and 2021. The folder naming convention is as follows: Exp{Number of Nodes}_{Mathematical Formulation}_{Transmission Line Limit Scaling Factor in MW}_{Hurdle Rate Scaling Factor in %}_{Year}. Linear programming is designated with "simple" label whereas mixed-integer linear programming is designated with "coal" label. For example, "Exp100_simple_1000_50_2019" folder contains inputs and outputs from 2019 model version with 100 nodes, linear programming, +1000 MW transmission line limit scaling factor, and +50% hurdle rate scaling factor. GO WEST GitHub repository hosts all raw datasets, processing scripts, and model scripts. Please refer to the README file for a detailed description of the included files.
DOI: 10.57931/2338087
title: Cooperative Transmission Expansion Planning Experiment Data and Results

description: GO WEST is an open-source power grid modeling framework for U.S. Western Interconnection, which allows users to tailor the model depending on their research study and science questions. It covers 28 balancing authorities (BA) and 12 states in U.S. Western Interconnection. GO WEST allows users to select different number of nodes and come up with a simplified network by utilizing 10,000 nodal topology of U.S. Western Interconnection created by Texas A&M University. Users can try and select different number of nodes, mathematical formulations (linear programming vs. mixed-integer linear programming), transmission line limit scaling factors, and hurdle rate scaling factors. GO WEST offers a unit commitment and economic dispatch (UC/ED) module to simulate grid operations on an hourly scale. In this sense, users can calibrate and validate their model versions by comparing model outputs to historical datasets. TEP is an open-source transmission capacity expansion model, built on GO WEST framework. It utilizes linear programming to optimize transmission capacity addition investment on existing lines within GO WEST framework. In this sense, TEP model only increases the thermal capacity of existing transmission lines and does not add new lines to the system, which leaves the topology preserved. TEP minimizes the total cost of the system which comprises the operational cost of satisfying electricity demand (i.e., generation cost), cost of loss of load (i.e., unserved energy), cost of power flow, and cost of new transmission capacity additions (i.e., investment cost). In order to use TEP model, users need to create scenarios with GO WEST framework. In this analysis, outputs from several models are used to create future inputs to GO WEST and TEP models, including GCAM-USA, TELL, CERF and reV. This dataset includes experiment inputs and outputs from three different transmission expansion scenarios (cooperative, intermediate, and individual) for 2019 and 2059. For 2019, a base scenario to illustrate the default (i.e., historical) power grid operations is also included. This study utilizes rcp45hotter_ssp3 scenario from a previous version of GCAM-USA simulations. Sources of the shapefiles in supplementary data are HIFLD Open and U.S. Energy Atlas. Please see the README file for a detailed description of the main and supplementary data.
DOI: 10.11578/2997129
title: KSTAR_UEDGE_Dataset: UEDGE Simulation Dataset for Training the KSTAR DivControlNN Surrogate Model
DOI: 10.5439/2997130
title: ARM SGP PBLH and MLH datasets from Raman lidar and Doppler lidar

description: The planetary boundary layer (PBL) plays a critical role in the atmosphere by transferring heat, moisture, and momentum. The warm PBL has a distinct diurnal cycle including the daytime convective mixing layer (ML) and nighttime residual layer developments. Thus, simultaneous determinations of PBL height (PBLH) and ML height (MLH) are necessary for studying PBL characterization and processes. Here, new approaches are developed to provide reliable PBLH and MLH estimates to characterize warm PBL evolution. The approaches use Raman lidar (RL) water vapor mixing ratio (WVMR) and Doppler lidar (DL) vertical velocity measurements at the Southern Great Plains (SGP) atmospheric observatory, which was established by the Atmospheric Radiation Measurement (ARM) User Facility. Compared to widely used lidar aerosol measurements for PBLH, WVMR is a better tracer for PBL vertical mixing. For PBLH, the approach classifies PBL water vapor structures into a few general patterns, then uses a slope method and dynamic threshold method to determine PBLH. For MLH, wavelet analysis is used to reconstruct 2D variance from DL vertical wind velocity measurements according to the turbulence eddy size to minimize the impacts of gravity wave and eddy size on variance calculations; then, a dynamic threshold method is used to determine MLH. Remotely-sensed PBLHs and MLHs are compared with radiosonde measurements based on the Richardson number method. Good agreements between them confirm that the proposed new algorithms are reliable for PBLH and MLH characterization. The algorithms are applied to warm-season RL and ML measurements at the SGP site for five years to study warm-season PBL structure and processes. The weekly composited diurnal evolutions of PBLHs and MLHs in a warm climate were provided to illustrate diurnal and seasonal PBL evolutions. This reliable data set of PBLH and MLH values will be valuable for studying PBL processes, model evolution, and PBL parameterization improvements.

The MLH dataset includes the MLH in values of km above ground level. The PBLH dataset includes the PBLH in values of km above ground level, along with a flag ("situation_PBLH") to determine the state of the PBL (1 = Cloudy Condition, 2 = Stable Layer, 3 = Multi-layer WVMR structure, 4 = Well-Mixed PBL, 5 = A de-coupled layer, 6 = Other).
DOI: 10.5439/2997136
title: New Particle Formation Event Dataset at the Southern Great Plains (SGP) Observatory from 2018 to 2023

description: This data set contains observations of new particle formation (NPF) events collected at the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) observatory from 2018 to 2023. Measurements include particle number size distributions, radiance measurements, and associated meteorological variables from onsite instrumentation relevant for identifying and characterizing NPF events. Events were identified using standardized criteria and documented to support investigations of aerosol nucleation, growth dynamics, and their interactions with local atmospheric conditions. The data set provides a multi-year record that enables evaluation of seasonal and interannual variability in NPF occurrence and intensity at a mid-continental site. These data are intended to support studies of aerosol-cloud-climate interactions and model evaluation within both ARM and the broader atmospheric science community. More information can be found within the README_NPF_SGP_2018_2023.docx file.
DOI: 10.26023/6m5k-7v1f-950g
title: T-PARC: Yonsei U. MM5 Singular Vector Model Imagery. Version 1.0

description: This data set contains Yonsei University MM5 Singular Vector Model Imagery for T-PARC. The products were developed by Yonsei University.