cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.dddd1243231a4712bad022bbb4535d30
title: Irrigation Diversions, Climate and Land Cover, Treasure Valley, Idaho

description: This dataset includes all relevant data that accompanies Bittmann et al., 2025 "Influence of Urbanization and Climate on Surface Water Diversions in a Semi-arid Basin". Data includes: total annual diversion data for 67 points of diversion from the Boise River from 1987-2020, calculated amount of reservoir storage water used in each diversion, the spatial extent served by each diversion, urban proportion derived from LCMAP, total irrigation season precipitation and maximum irrigation season temperature from Daymet, and ET from SSEBop. All code can be found on github: https://github.com/bridgetmarie24/pod_pou_lulcc/
DOI: 10.4211/hs.15049e5e717f466085f31095d5088cd2
title: Isotopic, hydrochemical, and hydrological data for streamflow and groundwater in a catchment of North China

description: This dataset supports the manuscript titled “Extreme precipitation-driven hydrologic connectivity and hydrochemical dynamics in a monsoonal mountain catchment: carbonate weathering dominance and storm-activated nitrate contamination.” It includes isotopic, hydrochemical, and hydrological data for precipitation, streamflow, and groundwater—key variables analyzed in the study. Each entry in the Excel file corresponds directly to a specific figure in the manuscript, ensuring traceability between raw data and the visual results presented.
DOI: 10.4211/hs.833b01b4c0ee47378fd1eac7ba17ace4
title: SOD Synthetic Forecast Generation Dataset

description: Pre-processed subset of raw HEFS hindcast data for Seven Oaks Dam (SOD) configured for compatibility with the repository structure of the versions 1 and 2 synthetic forecast model contained here: https://github.com/zpb4/Synthetic-Forecast-v1-FIRO-DISES and here: https://github.com/zpb4/Synthetic-Forecast-v2-FIRO-DISES. The data are pre-structured for the repository setup and instructions are included in README files for both GitHub repos on how to setup the data contained in this resource.

Contains HEFS hindcast .csv files and observed full-natural-flow .csv files for the following sites:
SRWC1 - main reservoir inflow to Seven Oaks Dam

Note: The zipped file contains some R scripts that were used to pre-process the raw data. They do not interact with the GitHub scripts referenced above and can be discarded. All the information in the raw data is contained within the zipped files, it has simply been converted to a standardized format for compatibility with the synthetic forecast generation codebase.
DOI: 10.4211/hs.7c8bd0d3935c4d709c088596a6f28020
title: Lake Hefner (Oklahoma) water budget data

description: Lake Hefner is a medium-sized municipal reservoir in central Oklahoma, USA, supplying water to Oklahoma City and nearby areas. The region’s semi-arid climate, with marked year-to-year variability in temperature and precipitation, makes its water resources highly climate-sensitive. Our study used a water balance analysis to assess evaporation from 2000 to 2018, relative to precipitation, inflows, and storage change. The following dataset was used for the assessment.
DOI: 10.4211/hs.0c4c320c65cb4b038263420bb8dd12da
title: Water quality monitoring in the Middle Rio Grande, New Mexico, USA, 2021-2025, Final Report

description: Over the past two decades, research in the Middle Rio Grande (MRG) has greatly advanced our understanding of water quality dynamics and ecosystem processes. A persistent gap, however, has been the lack of continuous data from sites south of Albuquerque, where habitat conditions for the Rio Grande Silvery Minnow (Hybognathus amarus; RGSM) are particularly important. To address this, we established and maintained water quality monitoring stations in each of the three southern sub-reaches of the MRG (Angostura, Isleta, and San Acacia). Our primary objectives were to characterize site- and reach-specific water quality, quantify exceedances of ecological thresholds relevant to RGSM, and describe patterns of longitudinal variation across the system. Results demonstrate that water quality is strongly shaped by hydrologic variability and spatial context. Storm-driven flows from ephemeral tributaries produce extremes in dissolved oxygen, turbidity, and specific conductance, with non-urban inputs delivering high sediment and salts, and urban runoff primarily depressing oxygen. Conversely, low-flow conditions drive thermal extremes and magnify the role of primary production. Longitudinally, storm-driven impacts attenuate downstream, while agricultural drains contribute cooler water that provides localized refugia, and leakage below diversion dams maintains low-temperature flows in incised reaches. Collectively, these findings underscore strong seasonal and spatial tradeoffs in habitat suitability for RGSM conservation.
DOI: 10.15468/dl.x69x4y
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-95.69666 -17.08488,-60.30334 -17.08488,-60.30334 -2.91512,-95.69666 -2.91512,-95.69666 -17.08488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ismene amancaes"
 ]
}

 The dataset includes 85 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050014-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.147d0b44b37c406eb39f9d3814c9621c
title: Water Quality (Wakulla Spring - Apalachee Bay, USA)

description: Hurricane Helene made landfall as a Category 4 storm on September 26, 2024, bringing 12-16 inches of rainfall and a 9-feet storm surge to Florida’s Gulf Coast. During hurricanes, the combined effects of excessive rainfall, storm surge, and flooding can elevate groundwater recharge and discharge, increase saltwater intrusion, and mobilize contaminants from the vadose zone and aquifers. The overall objective of this project is to assess the immediate and long-term effects of hurricanes on the salinization and recharge-discharge processes, and how these processes affect nutrient geochemistry of Florida’s Gulf Coast aquifers. We will focus on Wakulla Spring-Apalachee Bay transect, the landfall site of Hurricane Helene, as well as a region where groundwater is central to natural ecosystems and human need, emphasizing the importance of investigating the impact of extreme events to aquifer systems. Our central hypothesis is that hurricane induces significant changes in coastal aquifer systems by increasing salinization, enhancing groundwater fluxes, and altering nutrient fluxes and speciation. To test this hypothesis, the following two specific objectives are proposed: (1) Evaluate the degree of aquifer salinization and how it affects nutrient speciation, and (2) Quantify groundwater discharge and nutrient fluxes. All research activities will be conducted post-hurricane and during baseflow conditions.
DOI: 10.5281/zenodo.17665068
title: Dissolved Nutrients (NO3, NO2, NH4, Si, PO4) matched with TMR CTD Data

description: Dissolved nutrient measurements from the CliOMZ expedition. Nutrients measurements have been matched to the binned TMR CTD data by sample depth. Sample processing was performed by the Scripps Institute of Oceanography Ocean Data Facility as described in their public documentation.
DOI: 10.5281/zenodo.17665069
title: Dissolved Nutrients (NO3, NO2, NH4, Si, PO4) matched with TMR CTD Data

description: Dissolved nutrient measurements from the CliOMZ expedition. Nutrients measurements have been matched to the binned TMR CTD data by sample depth. Sample processing was performed by the Scripps Institute of Oceanography Ocean Data Facility as described in their public documentation.
DOI: 10.4211/hs.2471f3148e5f4814a94d6dfaee2d879c
title: Living Shoreline Prioritization and Hydrodynamic Habitat Suitability Models for Restoration in the Indian River Lagoon and Lake Worth Lagoon, Florida

description: This resource consists of the spatial dataset:  UCF_shorelinemodel_IRL_LWL.shp, created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL), Florida. The dataset includes: 
1.	shoreline attribute data (>15,000 transects) collected in the field
2.	shoreline wave climate data created through hydrodynamic modeling and frequency analysis of historic data  
3.	categorization of potential risk for boat wake impact to shoreline
4.	persistence of seagrass within 210 m of the shoreline
5.	model outputs of shorelines prioritized for stabilization/restoration based on field data
6.	model outputs of shoreline hydrodynamic habitat suitability for mangroves and seagrass, created by combining hydrodynamic modelling outputs and field survey data.
DOI: 10.4211/hs.db0853e8278a48acae8093e966ee1cf5
title: NWM v3.0 performance and baseflow filter calibration at select streamgages

description: This resource presents data used in the study by van der Heijden et al. (under review, 2025). The data contains a suite of performance metrics computed on National Water Model v3.0 retrospective simulated streamflow and observed streamflow at 797 USGS streamgages across the contiguous United States. It also contains the results of baseflow filter calibration, including the filter parameter (beta) and the RMSE from calibration.

The streamflow gages used are those considered of reference-quality by the Geospatial Attributes of Gages for Evaluating Streamflow, version II (GAGES-II) dataset (Falcone, 2011) that contain at least 20 years of continuous daily streamflow measurements.

Baseflow separation was conducted using a single parameter recursive digital low-pass filter based on Lyne and Hollick, (1979) for baseflow separation. The filter, implemented in the R package EcoHydRology (Fuka et al., 2014), was converted to Python (Hamshaw et al., 2020) and as part of this research is now available through the Baseflow Python package developed by Brigham Young University Hydroinformatics group (https://github.com/BYU-Hydroinformatics) The filter parameter was tuned to the long-term flow history of each gage individually using the 10th non-exceedance percentile of streamflow.

References:
Ryan van der Heijden, Ali Dadkhah, Scott Hamshaw, Mandar Dewoolkar, Ehsan Ghazanfari, Norm Jones, Gustavious Williams, Prabhakar Clement, Donna M. Rizzo. “Identifying and interpreting physical processes and NWM prediction bias associated with baseflow regimes across the CONUS.” Water Resources Research (under review, 2025).
Falcone, James A. 2011. “GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow.” Report. Reston, VA. USGS Publications Warehouse. https://doi.org/10.3133/70046617.
Lyne, V. D. and Hollick, M.: Stochastic time-variable rainfall runoff modelling, Hydrology and Water Resources Symposium, Institution of Engineers, Australia, Perth, 10–12 September 1979, 89–92, 1979.
Fuka DR, Walter MT, Archibald JA, Steenhuis, TS, and Easton ZM. “EcoHydRology, a community modeling foundation for Eco-Hydrology.” 2014.
DOI: 10.25574/26575
title: Chandra X-ray Observatory ObsId 26575

description: A Test to Establish that SS 433 is an Ultraluminous X-ray Source
DOI: 10.4211/hs.8f4e81e21cc64a18aff116f23608e8d7
title: Arizona Base-flow Index (HUC-8)

description: This dataset provides long-term estimates of the Base-Flow Index (BFI) for all HUC-8 basins in Arizona from 1980 to 2020. BFI, representing the groundwater-derived portion of streamflow, was computed at gauged sites using recursive digital filtering and then regionalized to ungauged basins through an XGBoost regression framework. Climatic and topographic variables served as primary predictors to capture spatial controls on base-flow generation across Arizona’s diverse hydroclimatic gradients. The resulting product offers consistent, basin-scale BFI estimates suitable for hydrologic assessment, groundwater–surface water interaction studies, and evaluation of streamflow-associated recharge in data-limited regions.
DOI: 10.15468/dl.8xmrun
title: Occurrence Download

description: A dataset containing 1442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-1.816019 40.326890, -1.816694 40.366961, -1.869511 40.366961, -1.868816 40.326890, -1.816019 40.326890))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1442 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050013-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.24421d1fabef46c28f198625d61aca75
title: Data and Code for “Subsurface Storage Capacity Controls on Tree Ring Sensitivity to Precipitation" R2

description: This supplement includes a Python notebook and an R file that reproduce the figures and analyze the tree-ring and climate data used in the manuscript, as well as a metadata file describing information about the tree ring data included in the study. 

In order to execute the code, users should have an Earth Engine account and obtain the raw CRN files from the NOAA National Centers for Environmental Information repository (https://www.ncei.noaa.gov/pub/data/paleo/treering/chronologies), available as a compressed archive file (itrdb-v713-usa-crn.zip).
DOI: 10.4211/hs.11a9167157df44ee9024f7d28a567926
title: Data and Code for “Subsurface Storage Capacity Controls on Tree Ring Sensitivity to Precipitation" R2.1

description: This supplement includes a Python notebook and an R file that reproduce the figures and analyze the tree-ring and climate data used in the manuscript, as well as a metadata file describing information about the tree ring data included in the study. 

In order to execute the code, users should have an Earth Engine account and obtain the raw CRN files from the NOAA National Centers for Environmental Information repository (https://www.ncei.noaa.gov/pub/data/paleo/treering/chronologies), available as a compressed archive file (itrdb-v713-usa-crn.zip).
DOI: 10.15468/dl.6wuh6h
title: Occurrence Download

description: A dataset containing 60453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "GadmGid is IDN.7_1",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 60453 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049970-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an2t7m
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula exilis"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050015-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17916490
title: Chronoscalar Corridor Transport Unifies Lithium Depletion, Directionally Selective Radiative Escape, Synodic Irradiance Beats, and Magnetic Ejection Geometry

description: Stellar interiors manifest a persistent one-percent constraint across phenomena that standard

models treat as unrelated: the slow destruction of lithium in young stars, the percent-level excess

of solar radiative flux, the confinement of magnetic flux tubes into narrow kilogauss structures,

and the delayed detonation of coronal mass ejections. These signatures, spanning more than

ten orders of magnitude in scale, are unified here by a single geometric mechanism.

Chronoscalar Field Theory (CFT) posits that the Universe contains an asymmetric time

field T(xμ) whose primordial gradient ∇T and associated drift establish the arrow of time and

the persistence of physical structure.text.21 This gradient is not a background parameter but a

physical field whose eigenstructure imprints every plasma it permeates. In stellar interiors, the

drift organizes the time field into narrow, quasi-one-dimensional defects known as chronoscalar

corridors. These were first identified in the quantum sector as Gabriel Corridors governing

entanglement connectivity, but their macroscopic manifestation in plasma provides a natural

mechanism for transport suppression. Only a fraction Pcorr ≃ 10−2 of material trajectories

sample these corridors, establishing a universal one-percent law of vertical transport. Lithium

depletion, photon leakage, magnetic condensation, and eruptive destabilization all proceed at

rates governed by the same geometric constraint.
DOI: 10.5281/zenodo.17916489
title: Chronoscalar Corridor Transport Unifies Lithium Depletion, Directionally Selective Radiative Escape, Synodic Irradiance Beats, and Magnetic Ejection Geometry

description: Stellar interiors manifest a persistent one-percent constraint across phenomena that standard

models treat as unrelated: the slow destruction of lithium in young stars, the percent-level excess

of solar radiative flux, the confinement of magnetic flux tubes into narrow kilogauss structures,

and the delayed detonation of coronal mass ejections. These signatures, spanning more than

ten orders of magnitude in scale, are unified here by a single geometric mechanism.

Chronoscalar Field Theory (CFT) posits that the Universe contains an asymmetric time

field T(xμ) whose primordial gradient ∇T and associated drift establish the arrow of time and

the persistence of physical structure.text.21 This gradient is not a background parameter but a

physical field whose eigenstructure imprints every plasma it permeates. In stellar interiors, the

drift organizes the time field into narrow, quasi-one-dimensional defects known as chronoscalar

corridors. These were first identified in the quantum sector as Gabriel Corridors governing

entanglement connectivity, but their macroscopic manifestation in plasma provides a natural

mechanism for transport suppression. Only a fraction Pcorr ≃ 10−2 of material trajectories

sample these corridors, establishing a universal one-percent law of vertical transport. Lithium

depletion, photon leakage, magnetic condensation, and eruptive destabilization all proceed at

rates governed by the same geometric constraint.
DOI: 10.15468/dl.vv96cv
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, China, Japan, Korea, Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula ovalifolia"
 ]
}

 The dataset includes 200 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050016-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17916462
title: reCOGnise specI identification marker gene database
DOI: 10.5281/zenodo.17916463
title: reCOGnise specI identification marker gene database
DOI: 10.15468/dl.yn9wrm
title: Occurrence Download

description: A dataset containing 223395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Elanoides forficatus)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 223395 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049981-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgz4rs
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Georgia)",
 "TaxonKey is one of (Eurycea aquatica [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 67 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050017-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17916511
title: धार دهار Dhār (ज़िला धार) Madhya Pradesh. Fragment of a Prakrit poem recording the defeat of Karnāṭaka, TEI

description: धार دهار Dhār (ज़िला धार) Madhya Pradesh. Fragment of a Prakrit poem recording the defeat of Karnāṭaka, TEI
DOI: 10.15468/dl.mfk6qw
title: Occurrence Download

description: A dataset containing 2341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-5.540315 40.317531, -5.542326 40.356664, -5.593904 40.356664, -5.591874 40.317531, -5.540315 40.317531))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2341 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050018-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcgkzx
title: Occurrence Download

description: A dataset containing 6796122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phaeophyceae, Ulvophyceae, Rhodophyta)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 5500",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 6796122 records from 1906 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049975-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thwzsu
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "Year 2010-2019",
 "DatasetKey is New Zealand research tagging database",
 "TaxonKey is Prionace glauca (Linnaeus, 1758)"
 ]
}

 The dataset includes 330 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001379-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq3xex
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum piliferum J.J.Sm."
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104339-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.