cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.90e9ae2832334b5395499545788886bc
title: Predicting road-crossing passability for river connectivity analysis

description: Data, code, and figures supporting the manuscript "Predicting road-crossing passability for river connectivity analysis" (Goodrum et al, 2025)
/Data - Raw data used in analysis
/Analysis - Code for processing data and generating results and figures
/Figures - PDF files of manuscript figures

Abstract:
Road-crossing structures limit organism movement but their passabilities are rarely measured because they are numerous and time-consuming to survey. Instead, road crossing passability could be treated in one of four ways: assuming equal passability at all locations (uniform method), assigning random passability values sample from barrier surveys (random sample method), or using remote sensing data to infer presence (presence/absence method) or rate passability (rating category method). Each prediction method produces different passability estimates for individual barriers, but how these differences affect river connectivity estimates has not been systematically evaluated. We compared river connectivity estimates from these four road-crossing passability prediction methods in the Bear River Basin, USA. We parameterized barrier passability methods with Bonneville Cutthroat Trout Oncorhynchus clarkii utah passage survey data at 140 road crossings. Road crossings blocked fish passage at 37% of survey locations. Those road-crossing barriers that obstructed fish movement also decreased the proportion of connected reaches in the river network from 12% (with dams and all road crossings assumed to be passable), to just 3%. All passability prediction methods produced similar results and had considerable uncertainty predicting passability for individual barriers. Our findings suggest that more simple methods, like uniform or random sample road-crossing passability predictions are sufficient to characterize river connectivity. Our work highlights the importance of identifying road crossings that act as barriers to organism passage and identifies critical limitations to predicting barrier status for connectivity analysis and conservation planning.
DOI: 10.4211/hs.4f4307d4a9dc461c84b1a3f9dd986afb
title: Concurrent snow and streamflow droughts in the Alps

description: To explore the relationship between snow and streamflow droughts, we compiled a dataset of both and streamflow droughts in the Alps between 1961 and 2020 in 207 catchments. The dataset shared here the result of a newly developed bidirectionnal snow-to-streamflow drought propagation scheme, which identifies which snow droughts were followed by a spring/summer streamflow droughts and which spring/summer streamflow droughts were preceded by a snow drought. Each drought event is associated with information on its location, deficit, duration and timing.
In addition, we provide the code to run the snow-to-streamflow drought propagation scheme, in the form of a simple R function.
All details concerning the format of the data and indications on how to run the code are displayed in the readme file.
DOI: 10.15468/dl.4kkeyt
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix hsinganica"
 ]
}

 The dataset includes 60 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050002-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gknk5wpmbw
title: Plant Disease Classification Dataset for Gourd Varieties: Ridge Gourd and Sponge Gourd

description: This dataset is an image-based resource designed for Deep Learning classification of diseases in two common gourd varieties: Ridge Gourd and Sponge Gourd.The dataset contains a total of 1,900 original JPEG images, categorized into six distinct classes (Anthracnose, CMV, and Healthy for each gourd type).The uploaded file is structured into two main parts:
Raw Dataset: Contains the original, full-resolution images.
Preprocessed Data: Contains the same images, which have been resized (e.g., 224 X 224pixels) and split into train, test, and val folders, ready for immediate use in machine learning models.

Purpose: To develop and benchmark automated AI models for rapid plant disease diagnosis
DOI: 10.17632/gknk5wpmbw.1
title: Plant Disease Classification Dataset for Gourd Varieties: Ridge Gourd and Sponge Gourd

description: This dataset is an image-based resource designed for Deep Learning classification of diseases in two common gourd varieties: Ridge Gourd and Sponge Gourd.The dataset contains a total of 1,900 original JPEG images, categorized into six distinct classes (Anthracnose, CMV, and Healthy for each gourd type).The uploaded file is structured into two main parts:
Raw Dataset: Contains the original, full-resolution images.
Preprocessed Data: Contains the same images, which have been resized (e.g., 224 X 224pixels) and split into train, test, and val folders, ready for immediate use in machine learning models.

Purpose: To develop and benchmark automated AI models for rapid plant disease diagnosis
DOI: 10.4211/hs.d726d1fbce7f4eb0b5b925a0d4f99fff
title: Bugs Buy Steady Releases from Hydropower Producers to Encourage more Synergistic Reservoir Management

description: Steady low reservoir releases increase downstream primary and aquatic invertebrate (bugs) production. These releases also reduce hydropeaking value, raise costs for hydropower customers, and reduce funds to maintain infrastructure and repay loans. This study quantifies the win-lose tradeoff between hydropeaking value and days per month of steady low releases at Glen Canyon Dam, Arizona. We estimate win-lose tradeoffs for monthly release volumes of 0.71 to 0.95 million acre-feet from March to October 2018 and 0 to 31 days. Conservative estimates indicate that steady low releases on eight weekend days per summer month in 2018 reduced monthly hydropeaking value by $430,000 to $850,000. We used results to design a financial instrument that gives ecosystem managers a budget to choose days of steady low releases and compensate hydropower producers for lost value. One option to reduce costs is shifting days of steady low releases to spring/fall months. Next steps include discussing the proposed instrument with more U.S. Federal agencies, conducting more flow experiments, and monitoring how timing and more steady low flow days per month affect bug production. Managers may extend to other experimental releases that mobilize sediment, build sand bars, or disadvantage non-native fish. 

##This resource contains the following items:
+ README.md - Markdown file with documentation for this resource including directions to reproduce results in the manuscript
+ GCD_BugFlowExperiment-main - Folder with sub-folders that contain the data, models, and code to reproduce figures, tables, and results in the manuscript.
+ Final_Draft_JHI_2025.pdf -- PDF document with the up-to-date manuscript for the work.
+ Rind and Rosenberg_2025_Supplementary.pdf --PDF document with supplementary information for the manuscript.
+ Rosenberg-BugsPayForSteadyFlows-AprilAMP.pptx - Power point presentation with overview of work presented at April 12/13, 2023 meeting of the Technical Work Group (TWG) of Glen Canyon Dam Adaptive Management Program (GCD-AMP).
+ KeyFeedbackFromTechnicalWorkGroup-April12-2023.docx - Key feedback from presentation to GCD-AMP Technical Work Group on April 12, 2023.

## Reproducibility: Bhupinderjeet Singh and Philip Moffatt at Washington State University, USA downloaded the materials and reproduced all figures and tables.

## Updates: We encourage users to visit our GitHub repository (https://github.com/moazzamalirind/GCD_BugFlowExperiment.git) for the latest updates and extended project details.
DOI: 10.17632/dkny7zz5xc
title: Supplementary Data for Evaluation of ASCA IgA/IgG seropositivity, fecal calprotectin levels and NOD2 gene polymorphisms in hidradenitis suppurativa patients. A prospective case-control study with insights beyond a ‘gut’ feeling (JAADI-D-25-00374)

description: This dataset includes supplementary tables and methodological details supporting the manuscript JAADI-D-25-00374.
DOI: 10.17632/dkny7zz5xc.1
title: Supplementary Data for Evaluation of ASCA IgA/IgG seropositivity, fecal calprotectin levels and NOD2 gene polymorphisms in hidradenitis suppurativa patients. A prospective case-control study with insights beyond a ‘gut’ feeling (JAADI-D-25-00374)

description: This dataset includes supplementary tables and methodological details supporting the manuscript JAADI-D-25-00374.
DOI: 10.4211/hs.209cf1b127b04806836345bf0f4b6c66
title: Bugs Pay for Days of Steady Reservoir Releases to Reduce Hydropeaking-Ecosystem Conflict

description: Steady low reservoir releases increase downstream primary and aquatic invertebrate (bugs) production. These releases also reduce hydropeaking value, raise costs for hydropower customers, and reduce funds to maintain infrastructure and repay loans. This study quantifies the win-lose tradeoff between hydropeaking value and days per month of steady low releases at Glen Canyon Dam, Arizona. We estimate win-lose tradeoffs for monthly release volumes of 0.71 to 0.95 million acre-feet from March to October 2018 and 0 to 31 days. Conservative estimates indicate that steady low releases on eight weekend days per summer month in 2018 reduced monthly hydropeaking value by $430,000 to $850,000. We used results to design a financial instrument that gives ecosystem managers a budget to choose days of steady low releases and compensate hydropower producers for lost value. One option to reduce costs is shifting days of steady low releases to spring/fall months. Next steps include discussing the proposed instrument with more U.S. Federal agencies, conducting more flow experiments, and monitoring how timing and more steady low flow days per month affect bug production. Managers may extend to other experimental releases that mobilize sediment, build sand bars, or disadvantage non-native fish. 

##This resource contains the following items:
+ README.md - Markdown file with documentation for this resource including directions to reproduce results in the manuscript
+ GCD_BugFlowExperiment-main - Folder with sub-folders that contain the data, models, and code to reproduce figures, tables, and results in the manuscript.
+ Final_Draft_JHI_2025.pdf -- PDF document with the up-to-date manuscript for the work.
+ Rind and Rosenberg_2025_Supplementary.pdf --PDF document with supplementary information for the manuscript.
+ Rosenberg-BugsPayForSteadyFlows-AprilAMP.pptx - Power point presentation with overview of work presented at April 12/13, 2023 meeting of the Technical Work Group (TWG) of Glen Canyon Dam Adaptive Management Program (GCD-AMP).
+ KeyFeedbackFromTechnicalWorkGroup-April12-2023.docx - Key feedback from presentation to GCD-AMP Technical Work Group on April 12, 2023.

## Reproducibility: Bhupinderjeet Singh and Philip Moffatt at Washington State University, USA downloaded the materials and reproduced all figures and tables.

## Updates: We encourage users to visit our GitHub repository (https://github.com/moazzamalirind/GCD_BugFlowExperiment.git) for the latest updates and extended project details.
DOI: 10.17632/y4g9fzr4jg
title: Interobserver variability in histopathologic diagnosis of melanocytic neoplasms

description: Supplemental materials for the manuscript entitled "Interobserver variability in histopathologic diagnosis of melanocytic neoplasms"
DOI: 10.4211/hs.ea090b2377a84572a72c943f0b1b4376
title: CIROH HydroLearn Course on Model Structure Uncertainty

description: This resource provides the necessary code to run all exercises of the CIROH_HydroLearn Course "Model structure uncertainty with MARRMoT".
The course can be found here: https://edx.hydrolearn.org/courses/course-v1:CIROH_HydroLearn+TUD_MHYD03_MARRMoT+2025/about

Please note that this resource includes only a subset of MARRMoT model structures and four workflow examples on how to use MARRMoT.
It is not a full version of the modelling toolbox.
DOI: 10.17632/y4g9fzr4jg.1
title: Interobserver variability in histopathologic diagnosis of melanocytic neoplasms

description: Supplemental materials for the manuscript entitled "Interobserver variability in histopathologic diagnosis of melanocytic neoplasms"
DOI: 10.15468/dl.rg8ps9
title: Occurrence Download

description: A dataset containing 3748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-5.382891 40.457188, -5.384541 40.490059, -5.427887 40.490059, -5.426224 40.457188, -5.382891 40.457188))",
 "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 3748 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050001-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uenun
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix raddeana"
 ]
}

 The dataset includes 183 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050003-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17916013
title: fMRI ICA V201-300 Partial Corr

description: GWAS summary statistics for fMRI ICA partial corr
DOI: 10.4211/hs.321ed1fe68864f62b10c067ac11e84f5
title: Lower Mississippi River - Overbank water column (2017-20)

description: This resource includes overbank water levels and temperatures at 3 floodplain sites along the Lower Mississippi River downstream of Natchez, Mississippi, between October 2017 and November 2020. Overbank conditions are captured for three major floods, including the longest duration flood (2019) in recorded history along the Mississippi River. These time-series data of overbank water levels and temperatures are derived from Onset Hobo U20 pressure and temperature sensors deployed at 3 sites in the Lower Mississippi River floodplain between October 2017 and November 2020. Additionally, in-situ water quality data and depth-integrated samples were collected from the overbank water column during major flood conditions at multiple floodplain sites in March 2019 and June 2019. Water-quality measurements and laboratory analyses of suspended sediment, carbon, and nutrients are also provided in this resource. This resource is associated with an article in Journal of Hydrology titled 'Inundation mechanisms and overbank water quality along the Lower Mississippi River during the major floods of 2018, 2019, and 2020' (Heitmuller et al., 2025).
DOI: 10.5281/zenodo.17916012
title: fMRI ICA V201-300 Partial Corr

description: GWAS summary statistics for fMRI ICA partial corr
DOI: 10.17632/f86nbyz2fd
title: Professional Learning Communities - Malaysia

description: The data helps to understand the relationship between the variables including professional learning communities, collective teacher efficacy, job satisfaction, trust, and emotional intelligence among Malaysian primary school teachers. The main research objectives were: (1) to examine the direct relationship between professional learning communities, teachers' collective efficacy, and job satisfaction, (2) to identify the significant mediating role of teachers' trust in colleagues, and (3) to identify the significant moderating effect of teachers' emotional intelligence. The research instruments used for the study included English and Malay versions of the teachers' demographic information, Professional Learning Communities Assessment-R, Collective Teacher Belief Scale, Spector's Job Satisfaction Survey, Omnibus-T Scale, and Wong & Law Emotional Intelligence Scale. Descriptive data analysis was performed using the software Statistical Packages for the Social Sciences (SPSS). Thereafter, structural equation modeling (SEM) using SmartPLS was done to study the direct, mediating, and moderating effects between the variables.
DOI: 10.4211/hs.48dd60fa723a4720ac66d580e4c19b9a
title: Drivers and trends of streamflow droughts in natural and human-impacted basins across the contiguous United States

description: This dataset contains:
Values for 42 variables related to topography, climate, vegetation, geology, and anthropogenic activities collected from 2001 to 2020. These variables were used to assess the drivers of streamflow drought deficit and duration across 2,550 stream gauges in the contiguous United States, including both natural and human-impacted sites. The computation method for each factor is detailed in Table 1.

The dataset also includes trend analyses of drought duration and deficit from 1980 to 2020, performed using the Mann-Kendall test under three conditions: independence, short-term persistence, and long-term persistence.

The complete analysis and findings are presented in Vicario, S.A., Hornberger, G.M., Mazzoleni, M., Garcia, M. (2025), "Drivers and trends of streamflow droughts in natural and human-impacted basins across the contiguous United States," Journal of Hydrology, DOI: https://doi.org/10.1016/j.jhydrol.2025.132908.
DOI: 10.17632/f86nbyz2fd.1
title: Professional Learning Communities - Malaysia

description: The data helps to understand the relationship between the variables including professional learning communities, collective teacher efficacy, job satisfaction, trust, and emotional intelligence among Malaysian primary school teachers. The main research objectives were: (1) to examine the direct relationship between professional learning communities, teachers' collective efficacy, and job satisfaction, (2) to identify the significant mediating role of teachers' trust in colleagues, and (3) to identify the significant moderating effect of teachers' emotional intelligence. The research instruments used for the study included English and Malay versions of the teachers' demographic information, Professional Learning Communities Assessment-R, Collective Teacher Belief Scale, Spector's Job Satisfaction Survey, Omnibus-T Scale, and Wong & Law Emotional Intelligence Scale. Descriptive data analysis was performed using the software Statistical Packages for the Social Sciences (SPSS). Thereafter, structural equation modeling (SEM) using SmartPLS was done to study the direct, mediating, and moderating effects between the variables.
DOI: 10.4211/hs.7deb8ab889a14a98885c5c6c06a4c548
title: Water Temperature and Catchment Characteristics Drive Variation in Carbon Dioxide and Methane Emissions from Small Ponds in a Peatland-Rich, High-Altitude Tropical Ecosystem

description: Inland waters release significant amounts of carbon into the atmosphere, with small ponds acting as hot spots. High variability and limited research make emissions from small waterbodies a major source of uncertainty, especially in underrepresented tropical ecosystems where unique drivers remain poorly understood. We evaluated the magnitude and sources of variability in emissions from small waterbodies of the páramo, a tropical ecoregion in the Andes mountains, characterized by carbon-rich soils. We measured partial pressure of carbon dioxide (pCO2), methane (pCH4) and CO2 emissions from small (<5000 m^2) waterbodies, 11 ponds and 1 wetland, 3 times in the wet season and returned to 8 sites in the dry season. Sites were always supersaturated in pCH4 (1,096+/-1,482 μatm), but occasionally undersaturated in pCO2 (1,224+/-1,585 μatm). Variability between ponds was high and primarily driven by elevation and water temperature. Catchment soil-water connectivity was also predictive of pCO2. Mean wet-season emission rates were 0.34+/-0.54 g CO2-C m-2 d-1 and 0.012+/-0.018 g CH4-C m-2 d-1 and surface area fluctuations were a large source of seasonal variability in some ponds. Though an open-water transect of the wetland site was similar to ponds, we measured very high pCH4 (1678+/-2629 μatm) and pCO2 (5162+/-3207 μatm) along the wetland perimeter. Our findings provide essential insights for incorporating a significant yet understudied tropical ecosystem into global carbon budget by confirming previous observations that small ponds can emit a disproportionately large amount of carbon to the atmosphere, but also highlighting the importance of variables other than pond size in controlling emission hot-spots.
DOI: 10.4211/hs.37533a235ecc45ed88f6c75f48f18867
title: Streamflow and Stage Data-ECCC (1400+ sites)

description: Hydrometric Data from Environment and Climate Change Canada for Research and Development
This dataset comprises hydrometric data sourced from Environment and Climate Change Canada (ECCC), provided under the ECCC Data Servers End-use Licence (Version 2.1 - September 2022). The data includes stage (water level) and discharge (flow rate) measurements for over 1400 sites across Canada. The dataset is structured into two compressed archives:
1. 15-minute interval data
2. 1-hour interval data

On average, each site contains up to 10 years of data, though preprocessing may be required to ensure completeness. The dataset also includes a separate metadata file, which provides key information for each site, including:
1.Site ID
2.Station Name
3.Province/Territory
4.Latitude & Longitude

This data is provided for research and development purposes only and is not an authoritative source of hydrometric data. Users must acknowledge the data source by including the following attribution in any derived works:
"Data Source: Environment and Climate Change Canada."
Additionally, where applicable, any third-party data contributions should be credited accordingly. For more details on data usage terms, please refer to the ECCC Data Servers End-use Licence at [insert link if available].

Disclaimer: The dataset is made available as is, without warranty, and ECCC is not liable for any errors, omissions, or damages resulting from its use. The dataset does not imply endorsement by ECCC or the Government of Canada.
DOI: 10.4211/hs.72a64577dbef41dc962657fd8ee5f4ea
title: Reservoir-regulated catchments in the European Alpine region

description: This dataset contains streamflow data for reservoir-regulated catchments in the European Alpine region. The dataset is split into two parts, suitable for two different analysis: a) "Pre_Post", representing streamflow records at the same location before and after the construction of reservoirs and b) "Up_Down", representing streamflow records at gauging stations up- and downstream of reservoirs. The streamflow records are of individual length for each station and are within a timeframe of 1 Oct 1899 to 30 Sep 2020.
The dataset accompanies the paper "How do reservoirs influence streamflow extremes? Insights from a large-sample analysis in the Alpine Region" by Götte et al. (DOI 10.1088/3033-4942/ae0151).
DOI: 10.17632/mmhnptc6wz.1
title: Paleoenvironmental Evolution Characteristics and Mineral Enrichment Patterns of the Lacustrine System Under Orbital Forcing in the Yin'e Basin During the Early Cretaceous

description: he samples cover the entire first member of the Bayingebi Formation (total thickness: 189 m). Specific grouping: 26 samples were prepared as thin sections for microscopic and scanning electron microscope (SEM) observations; 71 samples were analyzed for mineral composition using X-ray diffraction (XRD); 51 mudstone and marlstone samples were selected for determinations of total organic carbon (TOC), organic carbon isotope (δ¹³C), and nitrogen isotope (δ¹⁵N); while 20 high-organic-content mudstone samples were used for biomarker analysis via gas chromatography-mass spectrometry (GC-MS); and 369 samples were subjected to chromaticity and magnetic susceptibility (MS) measurements.