cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fytydc
title: Occurrence Download

description: A dataset containing 1037 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Brazil",
 "Country is Mexico",
 "Country is Colombia",
 "Country is Argentina",
 "Country is Canada",
 "Country is Peru",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is Chile",
 "Country is Ecuador",
 "Country is Guatemala",
 "Country is Cuba",
 "Country is Bolivia (Plurinational State of)",
 "Country is Haiti",
 "Country is Dominican Republic",
 "Country is Honduras",
 "Country is Paraguay",
 "Country is Nicaragua",
 "Country is El Salvador",
 "Country is Costa Rica",
 "Country is Panama",
 "Country is Puerto Rico",
 "Country is Uruguay",
 "Country is Jamaica",
 "Country is Trinidad and Tobago",
 "Country is Guyana",
 "Country is Suriname",
 "Country is Guadeloupe",
 "Country is Martinique",
 "Country is Bahamas",
 "Country is Belize",
 "Country is Barbados",
 "Country is French Guiana",
 "Country is Saint Lucia",
 "Country is Curaçao",
 "Country is Aruba",
 "Country is Saint Vincent and the Grenadines",
 "Country is Virgin Islands (U.S.)",
 "Country is Grenada",
 "Country is Antigua and Barbuda",
 "Country is Dominica",
 "Country is Bermuda",
 "Country is Cayman Islands",
 "Country is Greenland",
 "Country is Saint Kitts and Nevis",
 "Country is Sint Maarten (Dutch part)",
 "Country is Turks and Caicos Islands",
 "Country is Saint Martin (French part)",
 "Country is Virgin Islands (British)",
 "Country is Netherlands",
 "Country is Anguilla",
 "Country is Saint Barthélemy",
 "Country is Saint Pierre and Miquelon",
 "Country is Montserrat",
 "Country is Falkland Islands (Malvinas)",
 "Country is United States of America"
 ]
 },
 "TaxonKey is Symphyla"
 ]
}

 The dataset includes 1037 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040371-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6beq4z
title: Occurrence Download

description: A dataset containing 480 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythroxylum corymbosum Boivin ex Baill."
 ]
}

 The dataset includes 480 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043533-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwhjpe
title: Occurrence Download

description: A dataset containing 1497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "MediaType is Image",
 "TaxonKey is Bombus fervidus (Fabricius, 1798)"
 ]
}

 The dataset includes 1497 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256607-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfscnz
title: Occurrence Download

description: A dataset containing 2449 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Persicaria longiseta (Bruijn) Kitag."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2449 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040373-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnyx8g
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euroleon coreanus Okamoto, 1926"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043558-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwxshk
title: Occurrence Download

description: A dataset containing 4434584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Carnivora"
 ]
}

 The dataset includes 4434584 records from 2330 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261172-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jdk879tj5r
title: Using CoolProp for Undergraduate Thermodynamics

description: This repository includes Matlab codes, examples, lecture showcase notes and instructions all focused on using CoolProp as a tool for obtaining thermodynamic properties. These tools were applied for instruction and learning in an undergraduate thermodynamics class (ME 235) in the Department of Mechanical Engineering at the University of Michigan and found to be effective and helpful. Students went on to use these tools for working on projects focused on thermodynamic cycles. We are sharing these examples for the broader to community to use and benefit from as per CC BY-NC-SA 4.0 terms.
DOI: 10.4211/hs.8422ccfeba444241a9f3f55aa4bfedfd
title: Delaware River Watershed Initiative Pollution Assessment: Stage 2 Project Report. 26 February, 2024. Stroud Center Report#2024-001

description: The Delaware River Watershed Initiative (DRWI; https://4states1source.org/) is a multidisciplinary collaboration of more than 70 organizations working to conserve and restore the streams that supply drinking water to 15 million people in New York, New Jersey, Pennsylvania and Delaware. The DRWI collaboration, enabled by leadership funding provided from the William Penn Foundation, facilitated environmental work across the basin to reduce water pollution, protect headwaters and promote water-smart practices and policies. Under this initiative, environmental, scientific, educational, and conservation organizations worked from 2014 to 2025 to protect and restore the Delaware River system in eight priority geographies, referred to as Clusters: Poconos-Kittatinny, Upper Lehigh, New Jersey Highlands, Middle Schuylkill, Schuylkill Highlands, Upstream Suburban Philadelphia, Brandywine-Christina, Kirkwood-Cohansey Aquifer. Strategies to protect and restore landscapes to promote good water quality included forest land protection, implementation of agricultural best management practices (e.g., riparian forest buffers, streambank fencing, barnyard manure management systems, soil conservation and health strategies like cover cropping), and green stormwater management infrastructure (e.g., rain gardens and infiltration basins). Overall, DRWI accomplishments directly related to DRWI work and William Penn Foundation funding include 26,414 acres of protected forests and more than 1,446 restoration best management practices covering more than 296,841 acres, including implementation of agricultural restoration and urban stormwater management projects.

The overall goals of the DRWI Pollution Assessment were to: 
A. Identify hotspots of excess nonpoint source pollution (nitrogen, phosphorus, sediment) in stream reaches and catchments of the Delaware River Basin.
B. Quantify progress toward improving water quality by DRWI-style restoration and land protection activities, answering questions such as: What fraction of excess nonpoint source pollution has been reduced by DRWI and other projects? What level of investment is still required to achieve acceptable water quality? And 
C. Report cumulative findings for each geography of interest, including DRWI-established Clusters and the Focus Areas within.
DOI: 10.17632/jdk879tj5r.1
title: Using CoolProp for Undergraduate Thermodynamics

description: This repository includes Matlab codes, examples, lecture showcase notes and instructions all focused on using CoolProp as a tool for obtaining thermodynamic properties. These tools were applied for instruction and learning in an undergraduate thermodynamics class (ME 235) in the Department of Mechanical Engineering at the University of Michigan and found to be effective and helpful. Students went on to use these tools for working on projects focused on thermodynamic cycles. We are sharing these examples for the broader to community to use and benefit from as per CC BY-NC-SA 4.0 terms.
DOI: 10.4211/hs.c1ae56eb80e54a4997b869bd76df334f
title: Data Component Use Case for Landslide Susceptibility Calculation

description: This resource includes a Jupyter Notebook to demonstrate how to use several CSDMS Data Components (https://csdms.colorado.edu/wiki/DataComponents) to download topography and soil datasets to calculate the hourly landslide susceptibility for a study area in Puerto Rico when Hurricane Maria hit the island on September 20th, 2017. 

Please go to https://github.com/gantian127/landslide_usecase to learn how to run this notebook. Since related Python packages need to be updated, HydroShare JupyterHub currently doesn't support to run any version of this notebook.
DOI: 10.4211/hs.f94596fe50e74d93bd372125c5fab424
title: Data Component Use Case for Overland Flow Simulation

description: This resource includes a Jupyter notebook to demonstrate how to use the CSDMS Data Component (https://csdms.colorado.edu/wiki/DataComponents) to download the topography dataset and use the Landlab component (https://landlab.readthedocs.io/en/master/) to delineate the watershed and simulate the overland flow for a study area in the Boulder County.

Please go to https://github.com/gantian127/overlandflow_usecase to learn how to run this notebook. Since related Python packages need to be updated, HydroShare JupyterHub currently doesn't support to run any version of this notebook.
DOI: 10.4211/hs.3e11df71c1724df18fe8fed9e0afdfa1
title: Data Component Use Case for Permafrost Thaw and Hillslope Diffusion

description: This resource includes a Jupyter Notebook to demonstrate how to use several CSDMS data components (https://csdms.colorado.edu/wiki/DataComponents) to download topography, snow, and temperature data to calculate the permafrost active layer thickness and simulate the hillslope diffusion process for a study area in Alaska.

Please go to https://github.com/gantian127/permafrost_usecase to learn how to run this notebook.  Since related Python packages need to be updated, HydroShare JupyterHub currently doesn't support to run any version of this notebook.
DOI: 10.4211/hs.df48a7d0831a44bcaa579e916d5eae55
title: Data for "The Impact of System Softness on Haines Jumps in Porous Media"

description: This study investigates the effect of system softness on Haines jumps and drainage in porous media using microfluidics. A gas bubble with controlled volume is introduced into the liquid phase to create a soft system. A pore-scale analytical model incorporating softness is developed, and a dimensionless number is proposed to characterize it. Experiments in single pore throats, pores-in-series, and pore networks show that increased softness leads to longer jump distances and waiting times. In series pores, system softness determines the number of pores filled during a jump, while in networks, softness alters invasion dynamics but not the final saturation pattern.
DOI: 10.4211/hs.05d5633a413b4aec93b08a7e61a2abbb
title: Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling

description: We present a dataset for rainfall streamflow modeling that is fully spatially resolved with the aim of taking neural network-driven hydrological modeling beyond lumped catchments. To this end, we compiled data covering five river basins in central Europe: upper Danube, Elbe, Oder, Rhine, and Weser. The dataset contains meteorological forcings, as well as ancillary information on soil, rock, land cover, and orography. The data is harmonized to a regular 9km *  9km grid and contains daily values that span from October 1981 to September 2011. We also provide code (https://gitlab.hhi.fraunhofer.de/vischer/spatial_streamflow_dataprep) to further combine our dataset with publicly available river discharge data for end-to-end rainfall streamflow modeling. A data descriptor is currently under review.
DOI: 10.17632/ssdtccy6rp
title: Data for the Techno-Economic Assessment of Off-Grid Hybrid Renewable Energy Systems for Reliable Power Supply in Remote Regions

description: Data for the Techno-Economic Assessment of Off-Grid Hybrid Renewable Energy Systems for Reliable Power Supply in Remote Regions

This dataset includes the available and publishable data used to investigate the optimal design and performance of hybrid renewable energy systems. The study applies advanced metaheuristic optimization methods to evaluate system reliability, cost, and operational performance. The analysis focuses on off-grid applications that support Saudi Arabia’s ongoing energy transition.

The dataset supports research on system configuration, component sizing, storage requirements, and economic feasibility. It also enables you to assess how different algorithms improve reliability and reduce lifecycle cost under variable climatic and load conditions.

Keywords
• Hybrid Renewable Energy Systems
• Off-Grid Microgrids
• Metaheuristic Optimization
• Techno-Economic Analysis
• Saudi Vision 2030
• Energy Storage Systems
• Reliability Assessment
• DMOA
• MSA

You can review the following references for more information and for data that cannot be publicly released.

Journal papers:
1. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. "Techno-economic analysis of hybrid renewable energy systems for cost reduction and reliability improvement using dwarf mongoose optimization algorithm." Energy 313 (2024): 133653. https://doi.org/10.1016/j.energy.2024.133653 
2. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. "Optimizing a hybrid off-grid photovoltaic/wind/fuel cell energy system using mantis search algorithm." Energy Conversion and Management: X (2025): 101209. https://doi.org/10.1016/j.ecmx.2025.101209 
3. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. "Novel techno-economic feasibility study of an off-grid PV/wind/diesel/battery hybrid energy system using MATLAB-HOMER link." Energy Conversion and Management: X (2025): 101386. https://doi.org/10.1016/j.ecmx.2025.101386 
Conference papers:
1. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. "Novel optimal configuration approach for off-grid microgrid with hybrid energy storage using Mantis search algorithm." In 2024 12th International Conference on Smart Grid (icSmartGrid), pp. 255-264. IEEE, 2024. https://doi.org/10.1109/icSmartGrid61824.2024.10578170 
2. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. " Optimizing a Hybrid Off-Grid Photovoltaic/Wind/Fuel Cell Energy System Using Mantis Search Algorithm." The 19th SDEWES Conference, held from 8 to 12 September 2024 in Rome, Italy
DOI: 10.17632/ssdtccy6rp.1
title: Data for the Techno-Economic Assessment of Off-Grid Hybrid Renewable Energy Systems for Reliable Power Supply in Remote Regions

description: Data for the Techno-Economic Assessment of Off-Grid Hybrid Renewable Energy Systems for Reliable Power Supply in Remote Regions

This dataset includes the available and publishable data used to investigate the optimal design and performance of hybrid renewable energy systems. The study applies advanced metaheuristic optimization methods to evaluate system reliability, cost, and operational performance. The analysis focuses on off-grid applications that support Saudi Arabia’s ongoing energy transition.

The dataset supports research on system configuration, component sizing, storage requirements, and economic feasibility. It also enables you to assess how different algorithms improve reliability and reduce lifecycle cost under variable climatic and load conditions.

Keywords
• Hybrid Renewable Energy Systems
• Off-Grid Microgrids
• Metaheuristic Optimization
• Techno-Economic Analysis
• Saudi Vision 2030
• Energy Storage Systems
• Reliability Assessment
• DMOA
• MSA

You can review the following references for more information and for data that cannot be publicly released.

Journal papers:
1. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. "Techno-economic analysis of hybrid renewable energy systems for cost reduction and reliability improvement using dwarf mongoose optimization algorithm." Energy 313 (2024): 133653. https://doi.org/10.1016/j.energy.2024.133653 
2. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. "Optimizing a hybrid off-grid photovoltaic/wind/fuel cell energy system using mantis search algorithm." Energy Conversion and Management: X (2025): 101209. https://doi.org/10.1016/j.ecmx.2025.101209 
3. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. "Novel techno-economic feasibility study of an off-grid PV/wind/diesel/battery hybrid energy system using MATLAB-HOMER link." Energy Conversion and Management: X (2025): 101386. https://doi.org/10.1016/j.ecmx.2025.101386 
Conference papers:
1. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. "Novel optimal configuration approach for off-grid microgrid with hybrid energy storage using Mantis search algorithm." In 2024 12th International Conference on Smart Grid (icSmartGrid), pp. 255-264. IEEE, 2024. https://doi.org/10.1109/icSmartGrid61824.2024.10578170 
2. Al Dawsari, Saleh Awadh, Fatih Anayi, and Michael Packianather. " Optimizing a Hybrid Off-Grid Photovoltaic/Wind/Fuel Cell Energy System Using Mantis Search Algorithm." The 19th SDEWES Conference, held from 8 to 12 September 2024 in Rome, Italy
DOI: 10.4211/hs.fcb365d4f76244feb0ca4b2d9454dd5c
title: Extended monthly unimpaired flow from water year 1872 for 10 watersheds in the Central Valley of California

description: These datasets belong to the compiled and estimated historical monthly temperature, precipitation, and unimpaired flow prepared for the 10 watersheds in the California Central Valley (extended to water year 1872) and used in (1) Reconstructing Seasonal Unimpaired Runoff Volumes to the San Francisco Estuary: Extending the Available Record Back to Water Year 1872 and (2) Inferring Trends and Change Attribution Using Regression-Based Unimpaired Runoff to San Francisco Estuary, 1872-2022. 

See README.txt file for additional descriptions of the data included in each file.
DOI: 10.4211/hs.8a9d5986b02f479ea1c7e63685aede2e
title: SWMM Model-Stroubles Creek Watershed

description: Hydrologic models such as the Storm Water Management Model (SWMM) is widely used to evaluate the impacts of urban development on watersheds and
receiving waters. We have used this SWMM mode to simulate streamflow, peak flow, and baseflow from an urban watershed.
DOI: 10.4211/hs.4b071711215341118330c22f18b5d20d
title: AIMS SOP - Microbial Field Sampling

description: The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., biogeochemistry, microbial and macroinvertebrate communities) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM

This protocol details the process for collecting, storing, and routing primary samples for the Microbiome theme. Material for microbiome data analysis from four microhabitat types, i) water, ii) epilithon, iii) benthic sediment, and iv) leaf litter, will be collected during the distributed seasonal sampling (AIMS Approach 2), synoptic sampling (AIMS Approach 3), and the flow manipulation experiment (AIMS Approach 4). All samples will be collected using sterile technique, then subsampled and preserved appropriately for the following downstream laboratory analyses: a) extracellular enzyme activity analysis, b) DNA extraction for 16S rRNA gene and ITS library sequencing and quantitative PCR, c) chlorophyll-a and ash-free dry mass. Those laboratory analyses will be detailed in separate SOPs. This protocol will also include directions for measurement of stream habitat characteristic measurements that are not already covered by biogeochemical and hydrological data collection.
From this SOP, the following data types will be created: field meta-data, extracellular enzyme activity analysis, DNA extraction for 16S rRNA gene and ITS library sequencing and quantitative PCR, chlorophyll-a and ash-free dry mass [AIMS data types: MIME, EEAS, DNAB, DNAF, CHLA, AFDM].
DOI: 10.4211/hs.7301fca299004be58aad79c290dd7d53
title: Hydro-morphodynamic Data for Dislodgement of Mangrove (Rhizophora mangle) Seedlings

description: This dataset comprises laboratory measurements used to study the dislodgement mechanisms of Rhizophora mangle seedlings. The data were collected in a hydraulic flume at the Water Resources Laboratory, University of Central Florida, Orlando, USA. Detailed descriptions of the data collection and processing methods are provided in the accompanying metadata document included with this resource.
DOI: 10.4211/hs.401dedd41b7040808482019759abc42c
title: Supporting Information datasets for article: "Explicit simulation of reactive microbial transport with a dual-permeability, two-site kinetic deposition formulation using the integrated surface-subsurface hydrological model HydroGeoSphere"

description: This repository contains the Supporting Information Datasets DS1 and DS2 for Currle F., Therrien R. & Schilling O.S. (2025, under review): Explicit simulation of reactive microbial transport with a dual-permeability, two-site kinetic deposition formulation using the integrated surface-subsurface hydrological model HydroGeoSphere. Under review for publication in Hydrol. Earth Syst. Sci. EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3787.
DOI: 10.17632/83x7m3ytdz.1
title: Offspring genetic diversity impacts rearing experiences that predict differential susceptibility to Chd8 haploinsufficiency
DOI: 10.4211/hs.77d68de62d6942ceab6859fc5541fd61
title: Kings Creek (Konza Prairie) Stream Temperature, Intermittency, and Conductivity Data (AIMS_GP_KNZ_approach1_STIC)

description: This resource includes Stream Temperature, Intermittency, and Conductivity (STIC) data collected from the South Fork of Kings Creek within the Konza Prairie Biological Station. At the USGS gage located on the mainstem (06879560; est. 1979), Kings Creek is a 5th order intermittent stream draining 1059-ha of tallgrass prairie in the Kansas Flint Hills. These data were collected in support of the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. These sensors were set to collect temperature and conductivity data every 15 minutes starting in May 2021, and the raw conductivity data were used to classify the timeseries into wet or dry readings at each timestep. Each .csv file is associated with a single site. Also included is a “ReadMe” file that includes author information, column descriptions, and site locations.

AIMS OSF site: https://osf.io/e7s9j/
DOI: 10.4211/hs.c86774c4de374adfaa7c4e85f69547af
title: The Role of Bank Collapse and Root Mat on Marsh Edge Retreat

description: This dataset includes observational data from the Shangsha Wetland in the Yangtze Estuary, associated with the paper "The Role of Bank Collapse and Root Mat on Marsh Edge Retreat."