cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/3013720
title: Model scripts associated with “Revisiting controls on hyporheic respiration with knowledge-guided machine learning at continental scale”

description: NOTE: The manuscript associated with this data package is currently in review. The data/scripts may be revised based on reviewer feedback. Upon manuscript acceptance, this data package will be updated with the final scripts and additional metadata.
This data package is associated with the publication “Revisiting controls on hyporheic respiration with knowledge-guided machine learning at continental scale” submitted to Environmental Science & Technology (Zheng et al. 2026). The project combines mechanistic process modeling with knowledge-guided machine learning (KGML) to evaluate how organic matter chemistry, microbial biomass, and physical substrate accessibility regulate realized respiration rates across river corridors.
All data used in this paper have been previously published and can be accessed at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1729719 (Goldman et al., 2020). This data package contains 3 R-markdown (Rmd) preprocessing scripts for the previously published data and subsequent modelling workflows. The full workflow with input and output data can be found in the associated GitHub repository at https://github.com/jianqiuz/KGML-WHONDRS.
DOI: 10.15485/3013901
title: A network of soil moisture, soil temperature, air temperature, net radiation, ground heat flux and ground water for Chicago, Illinois

description: This dataset contains environmental monitoring data collected using solar-powered Multi-Function Research (MFR) Long Range Wide Area (LoRaWAN)-enabled nodes at 11 sites in Chicago, Illinois, as part of the DOE Urban Integrated Field Lab CROCUS project. The MFR node system consists of an Input/Output Digital Input Module (IB8) interface box (ICT International) providing wired connections for environmental sensors and an MFR-Node-L data logger that manages power, data processing, and LoRaWAN communication. The wireless data are ingested via Sage network (https://sagecontinuum.org/) nodes that contain LoRaWAN antennae. Measurements were collected from 11 MFR nodes deployed across Chicago State University (CSU), Northeastern Illinois University (NEIU), Northwestern University (NU), University of Illinois Chicago (UIC), West Woodlawn "Blacks in Green" (BIG), and Indian Boundary Prairies (IBP). Each MFR node supports a consistent suite of sensors measuring atmospheric, soil, and hydrological variables. Atmospheric measurements include 2m air temperature (°C), 2m vapor pressure deficit (kPa), and 2m shortwave/longwave radiation (incoming and outgoing, W/m²) measured using ATH-VPD and Apogee SN500 sensors. Soil measurements include volumetric water content (VWC, %) and temperature (°C) at four depths (15, 30, 45, and 60 cm below surface) using Meter Teros54 sensors, and heat flux (W/m²) at 10 cm depth using Huske HFP01-05 sensors. At selected locations, Meter Hydros21 sensors measure groundwater depth (mm), specific conductivity (dS/m), and temperature (°C). The dataset includes timestamps, site identifiers with location names, device IDs, Global Positioning System (GPS) coordinates, variable names with units, measurement depths, values, sensor names, and Sage node identifiers. All timestamps are in local Chicago time (CDT/CST). Quality control flags are provided using a 6-bit binary system indicating physical range violations, step spikes, 24-hour flat-line conditions, 6-hour jitter, 7-day ultra-low variance, and persistent high offset. Data is provided in CSV and CF-compliant NetCDF formats. This dataset is part of a larger collection of CROCUS environmental monitoring data, including linked datasets from Air Quality Transmitter (AQT) sensors, Weather Transmitter (WXT) sensors, and Sap Flow Meter (SFM1x) sensors.
DOI: 10.15468/dl.bcwvwc
title: Occurrence Download

description: A dataset containing 2801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-132.74830 11.23913,-61.84738 11.23913,-61.84738 39.58736,-132.74830 39.58736,-132.74830 11.23913))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus laurina",
 "Year 1840-2025"
 ]
}

 The dataset includes 2801 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005393-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33m3ed
title: Occurrence Download

description: A dataset containing 3923 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ReefSYN | Standardized datasets of Brazilian reef diversity in space and time - Dataset XIV: Benthic communities from the Brazilian province"
 ]
}

 The dataset includes 3923 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005396-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uayyjk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Epidalea calamita",
 "Country is Albania",
 "Country is Austria",
 "Country is Bosnia and Herzegovina",
 "Country is Belgium",
 "Country is Bulgaria",
 "Country is Belarus",
 "Country is Switzerland",
 "Country is Cyprus",
 "Country is Czechia",
 "Country is Germany",
 "Country is Denmark",
 "Country is Estonia",
 "Country is Spain",
 "Country is Finland",
 "Country is France",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Greece",
 "Country is Croatia",
 "Country is Hungary",
 "Country is Ireland",
 "Country is Italy",
 "Country is Lithuania",
 "Country is Luxembourg",
 "Country is Latvia",
 "Country is Moldova, Republic of",
 "Country is Montenegro",
 "Country is North Macedonia",
 "Country is Malta",
 "Country is Netherlands",
 "Country is Norway",
 "Country is Poland",
 "Country is Portugal",
 "Country is Romania",
 "Country is Serbia",
 "Country is Sweden",
 "Country is Slovenia",
 "Country is Slovakia",
 "Country is Türkiye",
 "Country is Ukraine",
 "Country is Kosovo",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005395-260120142942310/datasets/export for details.
DOI: 10.15468/dl.br5etp
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((252.24006 17.05916,267.46136 17.05916,267.46136 23.14507,252.24006 23.14507,252.24006 17.05916))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus deserticola"
 ]
}

 The dataset includes 608 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005398-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9nvzv
title: Occurrence Download

description: A dataset containing 14972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.95906 24.1173,-79.62191 24.08146,-77.96412 33.78951,-88.98998 34.00598,-88.95906 24.1173))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana"
 ]
}

 The dataset includes 14972 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005397-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/db5ag0
title: Replication Data for: Deconstructing the Northward Shift: A Comparative Analysis of Crop-Specific Drivers in China’s Grain Production Geography

description: This is supplementary data for our forthcoming journal article titled “Deconstructing the Northward Shift: A Comparative Analysis of Crop-Specific Drivers in China’s Grain Production Geography” (Submission ID: 34fdb5f9-8a66-4aa8-a39b-ffbdbbe22619). The data used in the article—including national and provincial grain, maize, wheat, and rice production volumes; grain crop sown areas; cultivated land areas; total agricultural output value; and agricultural water consumption from 1990 to 2000—were sourced from Mark Data (https://s.macrodatas.cn/index). Data for the aforementioned categories from 2001 to 2023 were sourced from the National Bureau of Statistics (https://www.stats.gov.cn/sj/ndsj/).
DOI: 10.6084/m9.figshare.31129636
title: Multiple evolutionary events in host plant adaptation in Lepidoptera

description: This dataset supports the study titled "Multiple evolutionary events in host plant adaptation in Lepidoptera." It includes raw measurement data and the scripts underlying all figures. A comprehensive README file is included to guide data navigation and analysis.
DOI: 10.6084/m9.figshare.31129636.v1
title: Multiple evolutionary events in host plant adaptation in Lepidoptera

description: This dataset supports the study titled "Multiple evolutionary events in host plant adaptation in Lepidoptera." It includes raw measurement data and the scripts underlying all figures. A comprehensive README file is included to guide data navigation and analysis.
DOI: 10.5281/zenodo.17537523
title: ARCHIVED County Health Rankings & Roadmaps relational data

description: NO LONGER MAINTAINED 

This repository is no longer maintained due to its zipped file structure. It has been replaced by a new Zenodo archive that provides annual CHR&R data in a more accessible format.

Access the current CHR&R relational data here:https://doi.org/10.5281/zenodo.18157681

 

Relational files (analyst-focused) The County Health Rankings & Roadmaps (CHR&R) program provides county-level health data for the United States, supporting population health research, health policy, and community wellbeing.

This Zenodo release contains 15 years of relational county-level health measures (2010–2025) designed for analysts and data users who wish to explore the underlying structure of the data. The relational hierarchy includes measure metadata such as definitions, weights, and model placement. Each year-specific subfolder contains the relational data for that year’s release, enabling programmatic analyses and integration with other datasets.
DOI: 10.5281/zenodo.17419266
title: ARCHIVED County Health Rankings & Roadmaps relational data

description: NO LONGER MAINTAINED 

This repository is no longer maintained due to its zipped file structure. It has been replaced by a new Zenodo archive that provides annual CHR&R data in a more accessible format.

Access the current CHR&R relational data here:https://doi.org/10.5281/zenodo.18157681

 

Relational files (analyst-focused) The County Health Rankings & Roadmaps (CHR&R) program provides county-level health data for the United States, supporting population health research, health policy, and community wellbeing.

This Zenodo release contains 15 years of relational county-level health measures (2010–2025) designed for analysts and data users who wish to explore the underlying structure of the data. The relational hierarchy includes measure metadata such as definitions, weights, and model placement. Each year-specific subfolder contains the relational data for that year’s release, enabling programmatic analyses and integration with other datasets.
DOI: 10.15468/dl.4vayw2
title: Occurrence Download

description: A dataset containing 308089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pultenaea linophylla, Pultenaea hispidula, Pultenaea daphnoides, Isotropis drummondii, Kennedia prostrata, Kennedia rubicunda, Almaleea paludosa, Podolobium ilicifolium, Bossiaea heterophylla, Bossiaea eriocarpa, Bossiaea ensata, Bossiaea obcordata, Bossiaea spinosa, Bossiaea scolopendria, Indigofera australis, Acacia elata, Sphaerolobium vimineum, Sphaerolobium linophyllum, Hovea purpurea, Phyllota phylicoides, Acacia filicifolia, Acacia stenoptera, Acacia chrysocephala, Acacia binervia, Acacia longissima, Acacia ulicifolia, Acacia echinula, Acacia glaucoptera, Acacia linifolia, Acacia prominens, Acacia shuttleworthii, Acacia longifolia, Acacia crassistipula, Acacia terminalis, Acacia hemiteles, Acacia merrallii, Acacia bidentata, Acacia schinoides, Acacia melanoxylon, Acacia mucronata, Acacia rostellata, Acacia acuminata, Acacia unifissilis, Acacia implexa, Acacia erinacea, Acacia falcata, Acacia jennerae, Acacia colletioides, Acacia nyssophylla, Acacia suaveolens)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 308089 records from 391 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005281-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/oesb2g
title: Code and Data for: "The Evolving Role of 21st Century Municipal Financial Advisors" v1.0.0

description: This release provides a frozen, citable snapshot of the code and data used in
“The Evolving Role of 21st Century Municipal Financial Advisors”, Public Budgeting & Finance Special Issue.

The repository contains:

Code to construct the Form MA data on municipal advisors from the SEC dataset

Scripts for data cleaning, and feature construction

This release is archived in Harvard Dataverse with a DOI for citation and long-term preservation.

GitHub repository: https://github.com/baridhi/muniAdvisors_pbf_public
DOI: 10.15468/dl.8hattc
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is Canada",
 "Geometry POLYGON((-113.8766 49.01863,-117.78067 53.49827,-119.45594 57.98832,-121.24851 60.09341,-135.04201 59.81151,-134.05676 57.61968,-130.53801 56.08061,-130.96026 54.31363,-134.61976 54.47752,-131.38251 51.77604,-125.04876 48.53114,-123.18152 48.17918,-122.83545 48.9193,-113.8766 49.01863))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyoscyamus niger"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005400-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15483/3014057
title: FleetREDI: Mail Delivery Class 6 Propane Trucks

description: Capturing real-world data is critical to reducing the barriers to technology advancement for commercial vehicles. FleetREDI’s insights provide detailed duty cycle information and highlight unique aspects of the given dataset. Each insight delivers a quick look at the collected data by summarizing the operation and identifying key findings of the initial analysis. This FleetREDI insight explores propane and diesel Class 6 mail delivery trucks.

Propane-powered commercial vehicles can achieve the same duty cycles and match the power, acceleration, and cruising speeds of conventionally fueled vehicles while producing significantly less emissions of tailpipe oxides of nitrogen (NOx). The primary goal of the project was to demonstrate alternative fuel vehicles in a mail transport application and evaluate the viability of propane as a cost-effective alternative to conventional diesel trucks.

![FleetREDI clean delivery trucks](FleetREDI-clean-delivery.jpg)
DOI: 10.15468/dl.sevxr9
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Türkiye",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lyrurus mlokosiewiczi",
 "Year 2015-2026"
 ]
}

 The dataset includes 121 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005399-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/wuzk95
title: A standardized database containing information on agronomic Zn fortification trials, inclusing their impacts on yield, grain nutrient content, and agronomic practices wheat in Ethiopia

description: This dataset compiles Geo-tagged plot-level zinc agronomy and crop quality variables. Treatment fields include Zn_rate (kg ha⁻¹), Zn_source (e.g., ZnSO₄), application_method (basal/foliar/split), application_timing, and co-nutrient rates (N, P, K, S). Crop descriptors cover genotype/variety, season, site, replicate/block, and basic geolocation where available. Soil covariates include pH, OC/TN (%), available P (method-specific), CEC/ECEC (cmolc kg⁻¹), texture (clay/silt/sand, %), and DTPA-Zn (mg kg⁻¹). Plant and grain measurements include grain_Zn and straw_Zn (mg kg⁻¹), leaf_Zn at key stages (mg kg⁻¹), grain_yield (t ha⁻¹), aboveground_biomass (t ha⁻¹), TKW (g 1000⁻¹), harvest_index (%), and, where measured, phytate, phytate:Zn (molar ratio), protein (%), and moisture (%). Derived indicators provide coherent Zn response and efficiency metrics, including Zn_uptake (g ha⁻¹), agronomic_efficiency, recovery_efficiency, physiological_efficiency, and Δgrain_Zn relative to control. Units are standardized across records, and computed indices are derived directly from the primary measurements.
DOI: 10.5281/zenodo.18338298
title: Data from "A Blind Binaural Real-Time Model for Listening Effort Evaluated Using Continuous Subjective Listening Effort Rating"
DOI: 10.5281/zenodo.18338299
title: Data from "A Blind Binaural Real-Time Model for Listening Effort Evaluated Using Continuous Subjective Listening Effort Rating"
DOI: 10.15483/3014058
title: Baseline vs. DER Scenario

description: Projections and associated uncertainty estimates are generated for a variety of user-selectable EV charging sessions, electricity tariffs, subsidy levels, revenue schemes, charging station configurations, and on-site solar and/or storage options. The outputs are presented in CHIP's web portal browser in the form of easily interpretable graphics (interactive graphs and bar charts) that facilitate convenient comparison among different scenarios to aid decision-making. The user should bring assumptions for modeling on simulation planning horizon, number of EV charging sessions per year, electricity costs (energy and demand charge rates; flat versus time-of-use rate), site capital costs (equipment for EV chargers and transformer), solar PV, and battery energy storage (kW).
DOI: 10.15483/3014060
title: SWS Building Electric Demand Profile

description: This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
DOI: 10.7910/dvn/cqubge
title: Replication Data for: Is There a Relative Age Effect in eSports?

description: This dataset contains individual-level information on professional and semi-professional eSports players and is used to study the presence of the Relative Age Effect (RAE) in competitive eSports. The Relative Age Effect refers to systematic advantages experienced by individuals born earlier in a selection year, a phenomenon well documented in traditional sports. This dataset supports an empirical analysis of whether similar age-related advantages exist in eSports, a domain primarily driven by cognitive, strategic, and reaction-based skills rather than physical attributes.

The dataset includes 56,895 eSports players from multiple countries and competitive years. It combines demographic information with performance outcomes measured through prize earnings. The data were used to estimate the effect of birth timing on financial success in eSports using both conventional regression models and Causal Random Forest (CRF) methods.

Variables
country: Country of nationality of the player.
year: Year in which the prize earnings were recorded.
prize: Total prize money earned by the player in the given year (monetary units as reported in the original sources).
birth: Player’s date of birth, used to construct birth month and relative age measures.
DOI: 10.5281/zenodo.18332002
title: County Health Rankings & Roadmaps Relational Data: Annual Release

description: Relational files (analyst-focused)The County Health Rankings & Roadmaps (CHR&R) program provides county-level health data for the United States, supporting population health research, health policy, and community wellbeing.

This repository contains relational county-level health data designed for analysts and data-users who wish to explore the underlying structure of the data. The relational hierarchy includes measure metadata such as definitions, weights, and model placement. Each year-specific version contains the relational data for that year’s release. Files that are not year-specific, including the README, are available in the most recent release folder.
DOI: 10.5281/zenodo.18157681
title: County Health Rankings & Roadmaps Relational Data: Annual Release

description: Relational files (analyst-focused)The County Health Rankings & Roadmaps (CHR&R) program provides county-level health data for the United States, supporting population health research, health policy, and community wellbeing.

This repository contains relational county-level health data designed for analysts and data-users who wish to explore the underlying structure of the data. The relational hierarchy includes measure metadata such as definitions, weights, and model placement. Each year-specific version contains the relational data for that year’s release. Files that are not year-specific, including the README, are available in the most recent release folder.
DOI: 10.34740/kaggle/dsv/14586161
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.7910/dvn/noyzs9
title: Replication Data for "From Foe to Friend? Government-Opposition Conflict and the Appointment of Cabinet Ministers"

description: This paper introduces a dynamic theory of ministerial appointments in coalition governments, arguing that party leaders reward MPs who fulfilled their expected roles in the prior government-opposition conflict. Using all speeches from the German Bundestag of six decades (1961–2021), we estimate MPs’ expressed positions on the government-opposition conflict dimension and assess their effect on cabinet selection. Contrary to the expectation that party leaders prefer moderate ministers to foster cooperation, we find that more loyal MPs – strong government defenders or fierce critics – are more likely to be appointed. These findings highlight how past parliamentary behavior affects future cabinet formation and suggest that ministerial appointments are shaped by partisan loyalty and role fulfillment.
DOI: 10.5281/zenodo.18291528
title: Non-stationary extreme value analysis of global storm surge and wave heights output data

description: Understanding storm-driven changes to extreme coastal water levels is essential for communities globally, to help them prepare for and mitigate against future coastal flooding. We apply a novel method combining the transform stationary approach and regional frequency analysis (RFA) to projections of storm surge height (SSH) and significant wave height (Hs), to estimate future return levels under climate change. 

 

The return periods given are the 2, 5, 10, 20, 50, 100, 200, 500 and 1000-year. Data is provided every year from 1950-2099. The horizontal reference system is WGS84 (EPSG 4326), at a spatial resolution 0.525 degrees. Further methodological details are given in the accompanying manuscript.