cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr34297.v1
title: State Legislative Election Returns (1967-2010)
title: Version 1

description: This data set contains comprehensive information on state legislative general election returns from 1967 through 2010. Each of the more than 300,000 observations refers to an individual candidate who ran for state legislative office. Variables include district designations, year and month of election, type of district (multimember, etc.), and candidate attributes such as incumbency status, party and vote total. The data come from five sources, three of which are ICPSR data collections (#8907, #3938, #21480); this data set is an update of these previous releases, through 2010.
description: Comprehensive sample, i.e., all elements of the population were included as observations in the sample.
description: Datasets: DS1: State Legislative Election Returns (1967-2010)
description: State legislative elections in the United States from 1967 to 2010. Smallest Geographic Unit: state legislative district
description: Please refer to these related data collections: STATE LEGISLATIVE ELECTION RETURNS IN THE UNITED STATES, 1968-1989 (ICPSR 8907); REVISED CANDIDATE-LEVEL STATE LEGISLATIVE RETURNS IN THE UNITED STATES WITH ADJUSTED CANDIDATE NAMES, 1968-1989 (ICPSR 3938); STATE LEGISLATIVE ELECTION RETURNS, 1967-2003 (ICPSR 21480).Please contact Carl Klarner (Carl.Klarner@indstate.edu) directly regarding any issues with this data collection, and/or use of this data in a publication.The data were produced in Terre Haute, Indiana, by Indiana State University.
DOI: 10.5067/modis/myd03.061
title: MODIS/Aqua Geolocation Fields 5-Min L1A Swath 1km
DOI: 10.5281/zenodo.3855293
title: Data citation for a forward stratigraphic-based porosity and permeability model developed for the Volve field, Norway.

description: The data, models, and script presented here are those used for developing a forward stratigraphic simulation. The data include: 24 suits of well logs, seismic data, forward stratigraphic simulation scenarios of the shallow marine depositional setting, synthetic wells derived from the stratigraphic model, and 3-D reservoir models in Eclipse and RMS formats. In addition, a short script from the property calculator tool in Petrel, which is was used to classify lithofacies-associations in the stratigraphic model is also provided. The Petrel software license and code used in GPM software to undertake these forward stratigraphic simulations cannot be provided, because Schlumberger, who are the developers of the software do not allow its code to be shared in any publication.
DOI: 10.5281/zenodo.4059885
title: The Influence of Dune Aspect Ratio, Beach Width and Storm Characteristics on Dune Erosion for Managed and Unmanaged Beaches Data

description: Data associated with "The Influence of Dune Aspect Ratio, Beach Width and Storm Characteristics on Dune Erosion for Managed and Unmanaged Beaches"
DOI: 10.5281/zenodo.5504533
title: Code and data for "KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: A Case Study of Estimating N2O Emission using Data from Mesocosm Experiments "

description: This is code and data for manuscript: <br> "KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: <br> A Case Study of Estimating N<sub>2</sub>O Emission using Data from Mesocosm Experiments"<br> Licheng Liu, Shaoming Xu, Zhenong Jin*, Jinyun Tang, Kaiyu Guan, Timothy J. Griffis, <br> Matt D. Erickson, Alexander L. Frie, Xiaowei Jia, Taegon Kim, Lee T. Miller, Bin Peng, Shaowei Wu, Yufeng Yang, Wang Zhou, Vipin Kumar All the files belong to Prof. Zhenong Jin, University of Minnesota, UA. jinzn@umn.edu<br> "code" foler includes code for data processing, model training, and results plotting.<br> "trained_model_saved" includes all trained model so you can use to reproduce the results showed in the study;<br> "data" includes all data presented in the study. Finetuning data is refering to Miller, L.T. , Griffis, T. J., Erickson, M. D., Turner, P. A., Deventer, M. J., Chen, Z., Yu, Z., Venterea, R.T., Baker, J. M., and Frie, A. L. (2021). Response of nitrous oxide emissions to future changes in precipitation and individual rain events. Journal of Environmental Quality, In review
description: {"references": ["Miller, L.T. , Griffis, T. J., Erickson, M. D., Turner, P. A., Deventer, M. J., Chen, Z., Yu, Z., Venterea, R.T., Baker, J. M., and Frie, A. L. (2021). Response of nitrous oxide emissions to future changes in precipitation and individual rain events. Journal of Environmental Quality, In review"]}
DOI: 10.5281/zenodo.5606983
title: Typical & Extreme Meteorological Year and Heatwaves for Dynamic Building Simulations in Belgium based on MAR model Simulations

description: This dataset contains 3 types of files for 12 cities (v.1.0) in Belgium: Typical Meteorological Year Extreme Meteorological Year Heatwave Events These files were produced from simulations of the MAR model forced by the ERA5 reanalyses over the period 1980-2020 but also by 3 ESMs from the CMIP6 database, namely BCC-CSM2-MR, MPI-ESM.1.2, and MIROC6 over the period 1980-2100. The available data for version 1.0 concerns 12 cities in Belgium but may be increased in future versions of this dataset. A detailed description of the methods used has been submitted as an article in the ESSD journal (S. Doutreloup et al., Historical and Future Weather Data for Dynamic Building Simulations in Belgium using the MAR model: Typical & Extreme Meteorological Year and Heatwaves, Earth Syst. Sci. Data, 2021).
DOI: 10.5281/zenodo.6786740
title: Dataset for: Evaluation of low-cost Raspberry Pi sensors for photogrammetry of glacier calving fronts

description: Points clouds of Fjallsjökull calving front, as derived by a Raspberry Pi and a Unoccupied Aerial Vehicle. For each sensor, eight sub-sections are analysed. Point clouds are provided in .las format. Each sub-section is generated within its own spatial reference (matching that of the other sensor to allow for comparison).
DOI: 10.5281/zenodo.7463248
title: Last glacial cycle simulations forced by PMIP3 climate with a matrix and index method using a 3D thermodynamical ice-sheet model IMAU-ICE

description: IMAU-ICE 2.0 model output of the ice evolution during the last glacial cycle at a 10 ka temporal resolution, as described in Scherrenberg at al., 2023.
DOI: 10.5281/zenodo.7813179
title: Data sets used in Lee et al. (2023)

description: Model simulations and processed data sets used in Lee, H., Jung, M., Carvalhais, N., Trautmann, T., Kraft, B., Reichstein, M., Forkel, M., and Koirala, S.: Diagnosing modeling errors of global terrestrial water storage interannual variability, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2022-284, in review, 2022.
DOI: 10.57707/fmi-b2share.b88051bf2f9e4fb0b402a625ac9155f0
title: RoadSurf library evaluation study dataset

description: Data related to manuscript: RoadSurf: Open-source Road Weather Model library
Data contains:
-Road weather station observations for Finnish road weather stations from 1 October 2022 to 1 April 2023
-Atmospheric forecast from Finnish Meteorological institute. The data is combination of forecast edited by meteorologist and automatically produced nowcast.
-Simulated road surface temperature and amounts of water, snow, ice and black ice on the road
-RMSE and bias calucated for the simulations for each month and forecast start time. Also, RMSE and bias for "same as yesterday" and persistence forecasts are included
-ReadMe files that explain the data in more detail

Changes made to the original version:
Simulations were rerun because of a bug related to ice and snow melting. This caused changes to road weather forecast data and verification results. Atmospheric data used by the simulation was also updated to make sure it corresponds the data used by the simulations

Changes made on 4 March 2024:
-RMSE and bias were recalculated for December after removing forecasts cases with several missing atmospheric forecast files
DOI: 10.6084/m9.figshare.14428160
title: Diffuse fraction distributions 1901-2017 in support of carbon cycle modelling: Constant tropospheric aerosols, no stratospheric aerosols.

description: This diffuse fraction dataset offers 6-hourly distributions of the diffuse fraction of surface shortwave fluxes over the period 1901-2017. This is a companion dataset of doi:10.6084/m9.figshare.14423690, where time variations in tropospheric aerosols are ignored, and stratospheric aerosols are not accounted for. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets.<br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth. Monthly distributions of sulfate and carbonaceous optical depth are then averaged over the 1901-1920 period, and those multi-annual monthly averages are used for the whole 1901-2017 period. The only interannual changes in tropospheric aerosols therefore come from mineral dust and seasalt.<br><br>Stratospheric aerosol optical depth is not accounted for in the radiative transfer calculations.<br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020).<br><br>Surface radiative fluxes account for aerosol-radiation and aerosol-cloud interactions by tropospheric aerosols, except mineral dust which only exerts aerosol-radiation interactions. The radiative effects of aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES.<br><br>Diffuse fraction is assumed to be 1 in cloudy sky. Atmospheric constituents other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere, but their variations do not affect the diffuse fraction of surface shortwave fluxes.
DOI: 10.7302/m05a-0d90
title: BIRDS Lab Multipod robot motion tracking data - RAW dataset

description: These data were produced for ARO W911NF-14-1-0573 "Morphologically Modulated Dynamics" and ARO MURI W911NF-17-1-0306 "From Data-Driven Operator Theoretic Schemes to Prediction, Inference, and Control of Systems" to explore the trade-offs between various oscillator coupling models in modeling multilegged locomotion.  The data were also used extensively in examining multi-contact slipping, in the studying the influence of number of legs on otherwise identical locomotion patterns, and in the use of geometric mechanics models for multilegged locomotion. Folder and file names encode the meta-data, with names following an informative naming convention documented in the README. 
description: We used a commercial motion tracking system (Qualisys QTM with 10 cameras) to track Multipod robots with 4,6,8,10 and 12 legs.  These robots had motion tracking markers attached. The dataset contains picture of one of the robots with the markers highlighted, and an example video of unmarked robots moving. We ran each robot at multiple inter-segment phase differences and gait frequencies, and some robots were run with two different roll angle amplitudes for the leg motions. This is the "raw" dataset. It contain all markers tracked on each of the robot, and is prior to various data conditioning a clean-up.
DOI: 10.5067/6o3geuk7u2jg
title: OCO-2 Level 1B calibrated, geolocated science spectra, Retrospective Processing V10r
DOI: 10.5067/ojzzw0ligsdh
title: OCO-2 Level 2 meteorological parameters interpolated from global assimilation model for each sounding, Retrospective Processing V10r
DOI: 10.6084/m9.figshare.23518944.v1
title: Data for the article reimaging study for blunt abdominal trauma in children

description: Data of our study about the intesrest of reimaging study for blunt abdominal trauma in children
DOI: 10.18170/dvn/zvdqtr
title: Index of Digital Rural County 2020

description: All primary and secondary index data of the Index of Digital Rural County are available, including Index 2020, Index 2019, and Index 2018. The research team integrated statistical data, enterprise data and big data captured from the Internet to comprehensively evaluated the situation of rural digitization in China from eight aspects, including digital production, digital supply chain, digital marketing, digital finance, digital governance, digital consumption, digital culture, education and health, and digital life.
DOI: 10.3334/cdiac/cli.ndp026e
title: A Gridded Climatology of Clouds over Land (1971-1996) and Ocean (1954-2008) from Surface Observations Worldwide (NDP-026E)*

description: Surface synoptic weather reports from ships and land stations worldwide were processed to produce a global cloud climatology which includes: total cloud cover, the amount and frequency of occurrence of nine cloud types within three levels of the troposphere, the frequency of occurrence of clear sky and of precipitation, the base heights of low clouds, and the non-overlapped amounts of middle and high clouds. Synoptic weather reports are made every three hours; the cloud information in a report is obtained visually by human observers. The reports used here cover the period 1971-96 for land and 1954-2008 for ocean. This digital archive provides multi-year monthly, seasonal, and annual averages in 5x5-degree grid boxes (or 10x10-degree boxes for some quantities over the ocean). Daytime and nighttime averages, as well as the diurnal average (average of day and night), are given. Nighttime averages were computed using only those reports that met an "illuminance criterion" (i.e., made under adequate moonlight or twilight), thus minimizing the "night-detection bias" and making possible the determination of diurnal cycles and nighttime trends for cloud types. The phase and amplitude of the first harmonic of both the diurnal cycle and the annual cycle are given for the various cloud types. Cloud averages for individual years are also given for the ocean for each of 4 seasons, and for each of the 12 months (daytime-only averages for the months). [Individual years for land are not gridded, but are given for individual stations in a companion data set, CDIAC's NDP-026D).] This analysis used 185 million reports from 5388 weather stations on continents and islands, and 50 million reports from ships; these reports passed a series of quality-control checks. This analysis updates (and in most ways supercedes) the previous cloud climatology constructed by the authors in the 1980s. Many of the long-term averages described here are mapped on the University of Washington, Department of Atmospheric Sciences Web site. The Online Cloud Atlas containing NDP-026E data is available via the University of Washington.
DOI: 10.34731/x9s3-kr48
title: Dataset of "COSMOS-Europe: A European network of Cosmic-Ray Neutron Soil Moisture Sensors"

description: Here we provide the dataset for COSMOS-Europe: A European network of Cosmic-Ray Neutron Soil Moisture Sensors. 
The dataset contains soil moisture data from 65 cosmic-ray neutron sensors (CRNS) in Europe. The CRNS stations cover all major land use types and climate zones within Europe. Raw neutron count data from the CRNS stations were provided by 23 research institutions and processed using state-of-the-art methods. 
The harmonized processing included correction of the raw neutron counts and a harmonized methodology for conversion to soil moisture based on available in situ information. In addition, information on data uncertainty was added to the dataset, which is particularly useful for remote sensing and modeling applications. 
This harmonized European soil moisture dataset will help both the hydrological and climatic communities to study individual drought events, understand their causes, evaluate and improve their modeling, and estimate the extremity of current events.
description: Revision #1 of the dataset was puplished on 20.03.2024
DOI: 10.5066/p9zqkzr9
title: Projected flooding extents and depths based on 10-, 50-, 100-, and 500-year wave-energy return periods for the State of Florida, the Commonwealth of Puerto Rico, and the Territory of the U.S. Virgin Islands for current and potentially restored coral reefs

description: This data release provides flooding extent polygons based on wave-driven total water levels for the coral lined coasts of Florida, Puerto Rico, and the U.S. Virgin Islands. The locations of the restoration lines along and across shore were defined by the presence of continuous coral/hardbottom habitat of greater than 100 m alongshore length and proximity to the 3-m depth contour. The wave and sea level conditions were then propagated using XBeach modelling (methoods are available at ) over 100-m spaced shore-normal transects modified to account for three coral reef restoration scenarios. The vertical height of the coral or emplacement of new structure was parameterized by increasing the elevation (decreasing the depth) of the shore-normal profile over the spatial extent of the restoration along the profile. Profiles of total water levels (set-up plus run-up) at each grid cell over the profiles were then extracted to define the wave-driven flooding along these cross-shore profiles with the influence of the different coral reef restoration scenarios. For each state/territory there are 16 associated flood extent shapefiles: one for each of four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years), the current scenario (base) and each of the restoration scenarios (structural_25, structural_05, and ecological_25). Structural plus ecological (structural_25) represents the emplacement of a 1 m-high solid structure over a distance of 25 m in the cross-shore direction and planting new corals on top of the structure; represented by +1.25 m increase in height and 0.45 and 0.13 increases in hydrodynamic roughness for fw and cf, respectively, due to the presence of the corals over the 25 m-wide extent. Structural plus ecological (structural_05) represents the emplacement of a 1 m-high solid structure over a distance of 5 m in the cross-shore direction and planting new corals on top of the structure; represented by +1.25 m increase in height and 0.45 and 0.13 increases in hydrodynamic roughness for fw and cf, respectively, due to the presence of the corals over the 5 m-wide extent. Ecological (ecological_25) represents solely planting new corals over a distance of 25 m in the cross-shore direction (horizontal width of restoration); represented by +0.25 m increase in height and 0.45 and 0.13 increases in hydrodynamic roughness for fw and cf, respectively, due to the presence of the corals over the 25 m-wide extent. These flood extents can be combined with economic, ecological, and engineering tools to provide a rigorous financial valuation of the coastal protection benefits of coral reef restoration of Florida, Puerto Rico, and the U.S. Virgin Islands.
DOI: 10.5281/zenodo.4713316
title: PALM model system 6.0 source code, revision r4550

description: The dataset contains the PALM model system 6.0 source code in revision r4550, used in the research article entitled "WRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0". The PALM model system has been developed and is maintained by the PALM group at the Institute of Meteorology and Climatology (IMUK) of Leibniz Universität Hannover, Germany. The original source code is available at https://palm.muk.uni-hannover.de/trac/browser?rev=4550.
DOI: 10.7302/0fpj-dz57
title: BIRDS Lab Multipod robot motion tracking data - processed data and code

description: These data were produced for ARO W911NF-14-1-0573 "Morphologically Modulated Dynamics" and ARO MURI W911NF-17-1-0306 "From Data-Driven Operator Theoretic Schemes to Prediction, Inference, and Control of Systems" to explore the trade-offs between various oscillator coupling models in modeling multilegged locomotion of Multipod robots with 6,8,10 and 12 legs.  The data is stored in .csv.gz files, one file for each robot morphology. Details of how to run the processing code on the raw dataset to generate the processed files found here, as well as example code for loading the data found here, are in the README.  This dataset is self contained and can be used on its own without running any of the provided code.
description: This dataset is derived from the raw dataset found at doi:10.7302/m05a-0d90 using the global phase estimation based on the Phaser algorithm doi: 10.1103/PhysRevE.78.051907 and additional processing.
DOI: 10.6084/m9.figshare.28294883
title: <b>Interplay between geological materials and the environment at</b> <b>the Dazu Rock Carvings, China</b><b> Dazu Rock Carvings, China</b>

description: On the Dazu Rock Carvings, China, a black to reddish-brown, relatively dense mineral film with a thickness of approximately 150 μm was observed on the surface of sandstone.
DOI: 10.15468/dl.n4x2a7
title: Occurrence Download

description: A dataset containing 569599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "PublishingOrg is one of (e62f0c10-13a1-4306-bdad-1e0a4c27d0d0, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)"
 ]
}

 The dataset includes 569599 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001570-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87mvsd
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleginus gracilis (Tilesius, 1810)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001578-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tu49vf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gadus gracilis Tilesius, 1810",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001579-250127130748423/datasets/export for details.
DOI: 10.15468/dl.wqhyr8
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-79.76014 -1.64008,-73.19078 -1.64008,-73.19078 0.98654,-79.76014 0.98654,-79.76014 -1.64008))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phytophthora infestans (Mont.) de Bary"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001580-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14752439
title: Plasma Pyrolysis of C3 and C4-Product Gas Composition

description: Excell raw data set of gaseous products resulted from plasma pyrolysis of C3 and C4