cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/32q9-1253
title: Version 3 Shipboard Automated Meteorological and Oceanographic System (SAMOS) Air-Sea Fluxes

description: Along ship track bulk turbulent heat and momentum fluxes derived using one-minute interval data collected by the Shipboard Automated Meteorological and Oceanographic System (SAMOS) initiative. The fluxes are provided as three products derived using three widely accepted air-sea flux algorithms (Smith 1988, COARE 3.6, and a 2023 update of Bourassa 2006). Datasets are organized by ship and flux algorithm. The dataset uses SAMOS data from 47 research vessels with observations spanning 2005-2024. Data include heat and momentum fluxes, state variables adjusted to 10 meters, and multiple inputs and outputs from the flux algorithms. These data have wide use for satellite product and model evaluation; air-sea interaction, marine biology, chemistry and geoscience research activities; climate science, and marine geoinformatics.Data coverage is the global oceans, but is concentrated around North America. Fluxes are derived from along cruise track navigational, meteorological, and oceanographic observations from 47 research vessels. Fluxes are derived at one-minute intervals (the same as the source observations) and take advantage of extensive quality control flags on the source SAMOS data. Additional QC flags are applied to the derived fluxes, height adjusted state variables, and other outputs of the flux algorithms. All data are provided in CF/ACDD compliant netCDF files, with extensive metadata. The data volume is 180 GB.
DOI: 10.15468/dl.ahpvcq
title: Occurrence Download

description: A dataset containing 10450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cardamine flexuosa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 10450 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012464-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tnynjt8fxr
title: Data Dissertation

description: Data Dissertation
DOI: 10.17632/tnynjt8fxr.1
title: Data Dissertation

description: Data Dissertation
DOI: 10.17632/s6skkpwzs6.1
title: Using beneficial ownership data for large-scale risk assessment in public procurement. The example of 6 European countries.

description: This database is a compilation of datasets of matched public procurement with beneficial ownership (BO) records by country. The database was used to conduct a systematic assessment of corruption risks in government contracting in the academic article: Arista, Irene Tello; Fazekas, Mihály & Volkotrub, Antonina (2026), Using beneficial ownership data for large-scale risk assessment in public procurement. The example of 6 European countries. European Journal of Criminal Policy and Research. Overall, it contains approximately 8 million public procurement contracts with beneficial ownership information for 11 million companies across Denmark, Estonia, Latvia, Slovakia, Ukraine, and the United Kingdom. The dataset includes tender-level corruption risk indicators, buyer and contract characteristics, and several BO-based risk indicators capturing ownership structure, as well as political exposure, nationality, and residence of beneficial owners. Several variables were constructed to identify unusual or outlier BO features –such as high ownership concentration of firms under one person, frequent BO changes, and absence of BO data– and other commonly used firm-level risk indicators, including company age and political connections, were included. The database was designed to test non-linear and fixed-effects analyses of the relationship between beneficial ownership characteristics and corruption risks in public procurement, and to facilitate the validation and practical use of BO-based risk indicators for research, policy analysis, and investigative purposes.
DOI: 10.17632/djnk7vp4ng
title: Soil fertility, texture, and apparent electrical conductivity responses to terrace construction

description: The data attached in this file was analyzed and run for PCA presented in the paper.
DOI: 10.17632/djnk7vp4ng.1
title: Soil fertility, texture, and apparent electrical conductivity responses to terrace construction

description: The data attached in this file was analyzed and run for PCA presented in the paper.
DOI: 10.17632/2nk488xhbd
title: Refrigerant_screening

description: Data of refrigerant screening
DOI: 10.17632/2nk488xhbd.1
title: Refrigerant_screening

description: Data of refrigerant screening
DOI: 10.17632/hr4x3j2g8r
title: Data for: Downscaling global predictive models of generation length can improve estimates for IUCN Red List assessments: a case study in Australian squamates
DOI: 10.17632/hr4x3j2g8r.1
title: Data for: Downscaling global predictive models of generation length can improve estimates for IUCN Red List assessments: a case study in Australian squamates
DOI: 10.17632/3w42gbzbvb
title: Dataset for Master’s Thesis on Innovation and Financial Performance of Chinese EV Public Companies

description: Dataset for Master’s Thesis on Innovation and Financial Performance of Chinese EV Public Companies（new）Cleaned and organized data.
DOI: 10.17632/3w42gbzbvb.2
title: Dataset for Master’s Thesis on Innovation and Financial Performance of Chinese EV Public Companies

description: Dataset for Master’s Thesis on Innovation and Financial Performance of Chinese EV Public Companies（new）Cleaned and organized data.
DOI: 10.5281/zenodo.11069417
title: Sustainable global irrigation expansion could support only two thirds of croplands under 1.5°C and 3°C warming

description: The "code" folder contains code and related data to (1) run regression to obtain crop yield sensitivities to temperature and precipitation, (2) conduct bootstrapping approach to resample crop data 1,000 times to derive regression coefficients, and (3) derive pixel-level crop yield changes and additional irrigation needs under 1.5°C and 3°C warming.

The "crop_production_summary.xlsx" gives the global and country-level aggregated crop production (e.g., wheat, maize, rice and barley) (unit: 10^12 kcal) during Baseline periods (1996-2005), 1.5°C and 3°C warming above pre-industrial levels (1850-1900) using three irrigation adaptation scenarios: (i) without irrigation adaptation, which means using the historical irrigation extent around 2000 (ii) with full irrigation adaptation, which means applying 100% irrigation over all croplands and (iii) with sustainable irrigation adaptation, which selectively applies irrigation where irrigation practices do not deplete freshwater stocks and impair aquatic ecosystems.

The "irr_need_summary.xlsx" gives the global and country-level sustainable and unsustainable irrigation area (unit: million hectares) of each crop (e.g., wheat, maize, rice and barley) in 2000 and additional irrigation area needed to offset warming-induced crop yield losses under 1.5°C and 3°C warming above pre-industrial levels (1850-1900).

The "irrigation needed" folder contains pixel-level additional irrigation area fraction for each crop needed to offset warming-induced crop yield losses under 1.5°C and 3°C warming above pre-industrial levels (1850-1900).

The "yield change" folder contains pixel-level crop yield change for each crop under 1.5°C and 3°C warming above pre-industrial levels (1850-1900).

The "irrigation_sustainable" folder contains pixel-level data on irrigation water sustainability during the Baseline periods (1996-2005) and under 1.5°C and 3°C warming scenarios compared to pre-industrial levels (1850-1900). In this dataset, pixels with values <1 indicate that sustainable irrigation can be applied, while values >=1 indicate that irrigation will be unsustainable.

For further details, please contact Liyin He (lhe@carnegiescience.edu) or Lorenzo Rosa (lrosa@carnegiescience.edu).
DOI: 10.17632/zd9ncf85k3
title: Mycelium based composites physical and mechanical characteristics

description: Dataset with Fungal species (P=Pleurotus, G = Ganoderma, T = Trametes), Ratio of inoculum:substrate (1:2 and 1:4 ratios), and physical and mechanical properties of mycelium-based composites including density, compressive modulus (MPa), and compressive strength at 10% deformation (kPa). Data corresponds to paper: "Mycelium-Based Composites Using Minimally Processed Industrial Hemp Biomass: Impact of Species and Feedstock Ratio on Mechanical Performance Compared to Polystyrene Packaging" Journal: Polymers, 2026
DOI: 10.5281/zenodo.10156823
title: Sustainable global irrigation expansion could support only two thirds of croplands under 1.5°C and 3°C warming

description: The "code" folder contains code and related data to (1) run regression to obtain crop yield sensitivities to temperature and precipitation, (2) conduct bootstrapping approach to resample crop data 1,000 times to derive regression coefficients, and (3) derive pixel-level crop yield changes and additional irrigation needs under 1.5°C and 3°C warming.

The "crop_production_summary.xlsx" gives the global and country-level aggregated crop production (e.g., wheat, maize, rice and barley) (unit: 10^12 kcal) during Baseline periods (1996-2005), 1.5°C and 3°C warming above pre-industrial levels (1850-1900) using three irrigation adaptation scenarios: (i) without irrigation adaptation, which means using the historical irrigation extent around 2000 (ii) with full irrigation adaptation, which means applying 100% irrigation over all croplands and (iii) with sustainable irrigation adaptation, which selectively applies irrigation where irrigation practices do not deplete freshwater stocks and impair aquatic ecosystems.

The "irr_need_summary.xlsx" gives the global and country-level sustainable and unsustainable irrigation area (unit: million hectares) of each crop (e.g., wheat, maize, rice and barley) in 2000 and additional irrigation area needed to offset warming-induced crop yield losses under 1.5°C and 3°C warming above pre-industrial levels (1850-1900).

The "irrigation needed" folder contains pixel-level additional irrigation area fraction for each crop needed to offset warming-induced crop yield losses under 1.5°C and 3°C warming above pre-industrial levels (1850-1900).

The "yield change" folder contains pixel-level crop yield change for each crop under 1.5°C and 3°C warming above pre-industrial levels (1850-1900).

The "irrigation_sustainable" folder contains pixel-level data on irrigation water sustainability during the Baseline periods (1996-2005) and under 1.5°C and 3°C warming scenarios compared to pre-industrial levels (1850-1900). In this dataset, pixels with values <1 indicate that sustainable irrigation can be applied, while values >=1 indicate that irrigation will be unsustainable.

For further details, please contact Liyin He (lhe@carnegiescience.edu) or Lorenzo Rosa (lrosa@carnegiescience.edu).
DOI: 10.17632/zd9ncf85k3.1
title: Mycelium based composites physical and mechanical characteristics

description: Dataset with Fungal species (P=Pleurotus, G = Ganoderma, T = Trametes), Ratio of inoculum:substrate (1:2 and 1:4 ratios), and physical and mechanical properties of mycelium-based composites including density, compressive modulus (MPa), and compressive strength at 10% deformation (kPa). Data corresponds to paper: "Mycelium-Based Composites Using Minimally Processed Industrial Hemp Biomass: Impact of Species and Feedstock Ratio on Mechanical Performance Compared to Polystyrene Packaging" Journal: Polymers, 2026
DOI: 10.5281/zenodo.15676841
title: Data used in: Rate of molecular evolution and pleiotropy on the evolutionary trajectories of penguin genes

description: This dataset contains a total of seven tables retrieved for the various analyses exploring the predictions on the relationship between pleiotropy and molecular evolutionary rate made by simulations in Fisher's geometric model. The description of each file can be found in file_description.md.

Infomation on the use of the script for obtained this results is in the README.me file.
DOI: 10.5281/zenodo.15676840
title: Data used in: Rate of molecular evolution and pleiotropy on the evolutionary trajectories of penguin genes

description: This dataset contains a total of seven tables retrieved for the various analyses exploring the predictions on the relationship between pleiotropy and molecular evolutionary rate made by simulations in Fisher's geometric model. The description of each file can be found in file_description.md.

Infomation on the use of the script for obtained this results is in the README.me file.
DOI: 10.17632/xdxn24xkn6
title: MCM Smartphone Battery Measurement Dataset

description: This dataset originates from Mendeley Data; I am using it as an open-access source and only require assistance with translation.
DOI: 10.17632/xdxn24xkn6.1
title: MCM Smartphone Battery Measurement Dataset

description: This dataset originates from Mendeley Data; I am using it as an open-access source and only require assistance with translation.
DOI: 10.5065/c3kn-2y77
title: 21st Century Hydrologic Projections for Alaska and Hawaii

description: High resolution ensembles of hydroclimate projections are useful for climate and water resources adaptation planning and many of these datasets exist over United States focused domains specifically the Contiguous United States (CONUS). However, very few century-long, high-resolution hydroclimate projections exist over Alaska and Hawaii and no statewide projections including hydrology exist. This motivated us to develop a dataset consisting of multiple statistically downscaled climate model projections and corresponding off-line hydrologic model simulations to obtain hydrologic simulations from 1950 to 2099 over the two domains, which fills a critical gap in hydroclimate projection capabilities for these two under-served regions. We take an approach similar to previous CONUS hydrologic assessments where we: 1) select climate model outputs based on CMIP5 Representative Concentration Pathway 4.5 and 8.5; 2) perform statistical downscaling to generate high-resolution climate input data for hydrologic models (12-km grid-spacing for Alaska and 1-km for Hawaii); and 3) perform off-line hydrologic model simulations, using the Variable Infiltration Capacity (VIC) model. A notable difference in the hydrologic model configuration from CONUS to this case, is the use of full water-energy balance computation with a simple glacier model for Alaska. Overall, the simulations in Hawaii show large uncertainty in total runoff driven by large variability in precipitation among the GCMs used for this study. Robust warming and increases in precipitation produce runoff increases for most of Alaska. However, runoff is likely to decrease in current glacierized areas in southeast Alaska.
DOI: 10.26024/ffeq-wr08
title: CESM2 Mechanically Decoupled

description: The CESM2 Mechanically Decoupled Model (MDM) is designed to simulate buoyancy coupled climate variability. The MDM consists of the same model components, including the dynamic ocean model POP2, as the CESM2 fully coupled model (FCM), but lacks anomalous wind stress driven ocean dynamics. Ocean variability in the MDM is therefore primarily buoyancy driven. Different from a slab ocean model (SOM) with a time invariant mixed layer depth, the MDM includes a freely evolving seasonally varying mixed layer depth, seasonally varying mean ocean circulation, and time varying buoyancy driven ocean circulation variability like the AMOC. Key sources of ocean damping are present in the MDM, including vertical mixing, entrainment, and advection by the mean ocean circulation, whereas many dynamical sources of ocean variability, as facilitated through anomalous wind stress driven ocean dynamics, are absent. Comparing the SOM and MDM can uncover the collective role of mixed layer depth variability, buoyancy coupled ocean circulation variability, and ocean damping on climate variations, whereas comparing the MDM and FCM can uncover the role of anomalous wind driven ocean dynamics on climate variability.The CESM2 MDM is implemented using the CESM2 B1850 configuration (i.e., pre-industrial radiative forcing) with 1 degree horizontal resolution. To mechanically decouple POP2 from the CAM6, the wind stress forcing on the ocean is prescribed as the 6-hourly climatology. The climatology is computed from hourly wind stress CIME output from a 50 year CESM2 FCM pre-industrial control simulation. The 6-hourly climatology is linearly interpolated to the hourly coupling frequency between CAM6 and POP2. Wind variability still is applied to the bulk formula for turbulent heat fluxes, thus the MDM remains thermodynamically coupled.
DOI: 10.26024/krv2-rt84
title: Preindustrial fully coupled CESM2.0.1 (B1850_c201_CTL) for atmospheric river analyses

description: CESM version 2.0.1 (the original public-release version of CESM2, and scientifically identical to public version 2.1.0) was run on a nominal 1-degree finite-volume horizontal grid for 30 years to assess the model's ability to represent atmospheric rivers (extreme precipitation events) and their related weather patterns. The dataset is comprised of global, daily averaged CAM history files for selected single-level and multi-level fields. Data size was minimized by extracting from the native files only fields relevant to extreme precipitation and related weather patterns.
DOI: 10.26024/5dgt-qf16
title: CESM2(WACCM6ma) PMIP4 Last Millennium Simulation

description: The CESM Paleoclimate Working Group (PWG) and Whole Atmosphere Working Group (WAWG) conducted a Last Millennium (LM) community experiment with the high-top WACCM6ma version of CESM2.1. A corresponding 850CE Control simulation was also run. The LM simulation extends from years 850 through 1849CE forced by reconstructions for the transient evolution of solar intensity, volcanic emissions, greenhouse gases, aerosols, land use conditions, and orbital parameters. The control simulation has forcings fixed at 850CE conditions.The LM and Control simulations both used WACCM6-FV2 (1.9 by 2.5 degree) with middle atmosphere chemistry, interactive land (CLM5, 1.9 by 2.5 degree), coupled ocean (POP2) with biogeochemistry (MARBL), interactive sea ice (CICE5.1), and non-evolving land ice (CISM2.1).
DOI: 10.26024/pwma-re41
title: CESM2 SMYLE

description: SMYLE (Seasonal-to-MultiYear Large Ensemble) is an initialized prediction system using CESM2. It consists of fully coupled initialized hindcast simulations using CESM2 component models at nominal 1 degree horizontal resolution. Hindcasts are initialized from historical reconstructions (SMYLE-FOSI for ocean and sea-ice; SMYLE-landonly for land; and JRA55 reanalysis for atmosphere) and then integrated forward 24-months. Initialization occurs quarterly (1st of each month of February, May, August, and November) for each year between 1970-2019. The ensemble size is 20 for each start date, with ensemble spread introduced through a random field perturbation applied to the atmospheric initial conditions. The SMYLE data release also includes the historical reconstructions used to initialize the ocean, sea ice, ocean biogeochemistry, and land components (SMYLE-FOSI and SMYLE-landonly).
DOI: 10.5065/q6t7-ta06
title: Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3

description: These data are the results of high resolution simulations with the Community Earth System Model, version 1.3 (CESM1.3). These simulations form the basis of a publication analyzing machine learning based-detection of weather fronts and associated extreme precipitation. The CESM1.3 data include simulations with historical (years 2000-2005), RCP2.6 (years 2006-2015), and RCP8.5 (years 2086-2100) climate forcing. Depending on the variables, the temporal resolution is 3-hourly, 6-hourly, or monthly, the horizontal resolution is 0.25 degree or 1 degree, and the spatial domain is global or centered over North America.
DOI: 10.26024/bzne-yf09
title: CESM2.2 CAM6 PPE

description: To evaluate parameterizations in models, simulations have often been performed with only one change to one parameterization at a time. This is not efficient and can be both time-consuming and computationally expensive. This data represents a Perturbed Parameter Ensemble (PPE) technique, where multiple parameters are varied simultaneously and the parameter values are determined with Latin Hypercube sampling. Then an emulator is developed in the multi-dimensional space mapping input parameters to output metrics. We apply the PPE method to CESM2 CAM6 to understand climate sensitivity to atmospheric physics parameters. The initial simulations vary 44 parameters in the microphysics, convective, turbulence and aerosol schemes with 250 ensembles. This will be extended. These atmospheric parameters are typically the most uncertain in many climate models. We analyze control simulations, and targeted simulations to understand climate forcing due to aerosols, and fast climate feedbacks. The PPE is applicable to other configurations to address questions of other model processes in the atmosphere and other model components (e.g. coupling to the land surface).
DOI: 10.5065/4vcf-5n27
title: AGS-FIRP Track 1: Lake-induced Inversion Trapping of Emissions on the Superior Coast (LITESC)

description: The objective of this field campaign was to study the atmospheric structure and the transport of pollutants in coastal regions of the Michigan Upper Peninsula. Measurements of profiles of temperature, humidity, winds, clouds and aerosols were made by the SPARC facility from the University of Wisconsin-Madison. These activities were part of atmospheric science measurements courses taught by Prof. Judith Perlinger at Michigan Technological University, and Prof. Ankur Desai at the University of Wisconsin-Madison.
DOI: 10.5065/rrbq-2r03
title: W.M.O. Station (Surface and Upper Air) Library (November 1995)

description: This dataset contains a station library for WMO surface and upper-air stations. The library is current as of November 1995.
DOI: 10.5065/h5qw-w724
title: Various Station Libraries and Histories

description: This dataset contains station libraries and histories and received from various sources.
DOI: 10.5065/31ys-zk67
title: NCAR ADP Upper Air Station History (DSS built)

description: History of station position and elevation changes are archived for all stations in the NMC ADP upper air data set (ds353.4)
DOI: 10.5517/ccdc.csd.cc1zzwzt
title: CCDC 1846948: Experimental Crystal Structure Determination

description: Related Article: Shuqi Dai, Lizhi Jiang, Chaowei Zhao, Fengjiao Chen, Ruihao Chen, Ruixuan Qin, Wuyong Zhang, Weijie Zhang, Binghui Wu, Nanfeng Zheng|2019|ChemNanoMat|5|1110|doi:10.1002/cnma.201900216
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5065/6cja-b154
title: Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms: Storm and Analysis Data

description: This repository contains the simulation and analysis data for the paper "Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms." This dataset contains simulated storms extracted from the NCAR Convection-Allowing Ensemble, saved as 96 km by 96 km storm patches containing extensive information about each storm. The dataset also contains saved machine learning and deep learning models used to analyze the storm data along with diagnostic files containing verification and variable importance scores.