cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.eaf9a871fd254a759a4f381be4f0a325
title: Filling missing stormwater infrastructure attributes data for hydrologic-hydraulic (SWMM) model development

description: Effective hydrologic-hydraulic model development such as U.S. Environmental Protection Agency’s Storm Water Management Model (SWMM) depends on the data availability and data completeness of as-built stormwater infrastructure data. The infrastructure data gaps affect accurate process representation in model causing output uncertainty, error and bias, which further affect model construction, parameterization and its reliable use. However, complete stormwater infrastructure data are often not available due to data sharing restrictions or data gaps occurring from errors of omission (i.e., infrastructure components not being recorded) and error of commission (i.e., assignment of incorrect data). This algorithm, created in R, fills the missing stormwater infrastructure attribute-values data in accordance with the available design standards and modeling practice. It can be adopted to fill missing stormwater infrastructure attributes data for any size of SWMM model. This algorithm can also be implemented to randomly sample, using Monte Carlo sampling approach, the effects of missing attribute-values for different parameters of conduits and junctions such as diameter, roughness and depth. 

For details about this work readers are referred to:

1). Shrestha, A., Mascaro, G., & Garcia, M. (2022). Effects of stormwater infrastructure data completeness and model resolution on urban flood modeling. Journal of Hydrology, 607, 127498. https://doi.org/10.1016/j.jhydrol.2022.127498
2). Shrestha, A. (2022). Advances in Urban Flood Management: Addressing Data Uncertainty, Data Gaps and Adaptation Planning (Doctoral dissertation, Arizona State University). https://search.proquest.com/openview/b79c1eb133e93ea0a07b6147fe7feff6/1?pq-origsite=gscholar&cbl=18750&diss=y

For GitHub link to this repository, readers are referred to:
1). https://github.com/ashish-shrs/filling_missing_data_for_swmm/tree/main
DOI: 10.48597/mstv-nd4v
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/sumh-km7p
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/5s7f-v8kr
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/zndm-qjsw
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/7qbs-dtwa
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.336edc1205314d33a05e935d4a2cd7c2
title: Ag-MAR Simulation in Idaho's Henrys Fork

description: PUBLISHED IN WATER RESOURCES RESEARCH 2024
Groundwater return flow to streams is important for maintaining aquatic habitat and providing water to downstream users, particularly in irrigated watersheds experiencing water scarcity. However, in many agricultural regions, increased irrigation efficiency has reduced return flows and their subsequent in-stream benefits. Agricultural managed aquifer recharge (Ag-MAR)—where artificial recharge is conducted via irrigation canals and agricultural fields—may be a tool to recover these return flows, but implementation is challenged by water supply and water management. Using climate-driven streamflow simulations, an integrated operations-hydrology model, and a regional groundwater model, we investigated the potential for Ag-MAR to recover return flows in the Henrys Fork Snake River, Idaho (USA). We simulated potential Ag-MAR operations for water years 2023–2052, accounting for both future water supply conditions and local water management rules. We determined that Ag-MAR operations reduced springtime peak flow at the watershed outlet by 10–14% after accounting for return flows. Recharge contribution to streamflow peaked in July and November, increasing July–August streamflow by 6–14% and November–March streamflow by 9–14%. Furthermore, sites where Ag-MAR was conducted incidental to flood irrigation had more water available for recharge, compared to sites requiring recharge rights, which are junior in priority to agricultural rights. Mean annual recharge volume for the incidental recharge sites averaged 12% of annual natural streamflow, ranged from 269–335 Mm3, and was largely available in April and October. We demonstrate Ag-MAR can effectively recover groundwater return flows when applied as flood irrigation on agricultural land with senior-priority water rights.
DOI: 10.48597/bas8-3k46
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.d77f11c4ff8245d498faf7b924fe028a
title: Data and Code for "Groundwater Responses to Deluge and Drought in the Pacific Northwest"

description: This repository includes the data and R code used in the WRR manuscript. The following are attached:

1. The R code used to derive the daily atmospheric river (AR) catalogue, groundwater memory metrics, and wavelet analysis. This is an R Markdown file, open with R Studio to see the formatting.
2. The derived daily AR catalogue for the Fraser Valley with associated precipitation from the Abbotsford Airport Climate Station.
3. Observation well data used in the study.
4. Groundwater well and aquifer information including hydraulic properties, derived memory metrics, and cross-correlation results.
DOI: 10.48597/sv77-gf2n
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/tx72-hpkn
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.5281/zenodo.17916423
title: Datos Suplementarios SD2

description: Coeficientes de correlación de Pearson (r) entre variables craneanas y factores ambientales de Mephitis macroura, con sus valores de probabilidad (p), estadístico (t) y grados de libertad (gl). Se presentan los resultados para los grupos machos adultos, hembras adultas y hembras subadultas. Las variables ambientales son temperatura media anual (bio1), temperatura estacional (bio4), precipitación estacional (bio15), elevación y productividad primaria neta (NPP). Se resaltan en color amarillo las correlaciones más importantes para cada uno de los grupos.
DOI: 10.5281/zenodo.17916424
title: Datos Suplementarios SD2

description: Coeficientes de correlación de Pearson (r) entre variables craneanas y factores ambientales de Mephitis macroura, con sus valores de probabilidad (p), estadístico (t) y grados de libertad (gl). Se presentan los resultados para los grupos machos adultos, hembras adultas y hembras subadultas. Las variables ambientales son temperatura media anual (bio1), temperatura estacional (bio4), precipitación estacional (bio15), elevación y productividad primaria neta (NPP). Se resaltan en color amarillo las correlaciones más importantes para cada uno de los grupos.
DOI: 10.15468/dl.w5wry9
title: Occurrence Download

description: A dataset containing 1450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, China, Japan, Korea (Democratic People’s Republic of), Korea, Republic of, Mongolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix rorida"
 ]
}

 The dataset includes 1450 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049990-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.4f439754503c4ff4959c7e3703121940
title: USGS - Harvey Gaged Streamflow Timeseries

description: This resource provides datasets for stream discharge (flow rate) in cubic feet per second, and gage height (stream depth) from 924 active USGS gages in the Hurricane Harvey impact zone across Texas, Louisiana, Mississippi and Arkansas (see shapefile for all gages). 

These data were obtained from the USGS National Water Information System (NWIS) [1] using R scripts provided here. When running these R scripts, 745 of the 924 gages had gage height values, and 577 of the 924 had discharge values. For help in using these R scripts, USGS used to provide support tools but the links for those no longer work. I used R Studio on Windows for these retrievals. 

Formats provided:
- Shapefile and csv for gage locations, including link to USGS gage details [1]
- Tabular (csv) datasets for timeseries of water discharge (flow rate) in cubic ft/sec, and timeseries of gage height in ft. 
- R scripts to download timeseries data from NWIS

References
[1] USGS NWIS - interactive portal for stream gage site info  [https://waterdata.usgs.gov/nwis]
DOI: 10.48597/x3r8-udw3
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/y8nu-pzfj
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/npf8-uzep
title: Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.c037167e497546a1bc1508dfb32a9cff
title: Hurricane Harvey Flood Data Collections

description: This collection is for datasets of flood depths, flood extents, high water marks, streamflow, damages recorded, aerial oblique photos, and related subjects. This includes both forecast and observed data. These were primarily obtained from national agencies such as NOAA (weather related), USGS (surface water related), FEMA (surface water and damage related), and Civil Air Patrol (aerial photos). 

Note on November 2023 updates: due to numerous updates among the resources linked below, this collection has been updated to point to the most recent resources.
DOI: 10.48597/q639-xy7p
title: Sulphur_dioxide at Jarczew

description: Measurement of Sulphur_dioxide at Jarczew
DOI: 10.48597/2atu-cpry
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/kynn-sczh
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/tagb-53ce
title: Measurement of Sulphur_dioxide at Jarczew

description: Measurement of Sulphur_dioxide at Jarczew
DOI: 10.48597/46tr-y3q4
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/zc7t-h4qt
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.bd65feda6bbf4ff59f6d8f985963d717
title: Harvey Basemap Data Collections

description: This collection contains map data often used as base layers for hydrologic and geographic analysis, organized by these categories: 
- Addresses and Boundaries (Texas address points, counties, Councils of Government boundaries, Texas Dept of Public Safety districts and regions)
- Hydrology for the Harvey study area across southeast Texas, Louisiana, Mississippi and Arkansas (streams, gages, dams, catchments, watersheds)
- Transportation (Texas roads, railways, bridges, low water crossings)
- Social Vulnerability Index (SVI) developed by the U.S. Centers for Disease Control (CDC). This is used by the emergency response community to anticipate areas where social support systems are weaker, and residents may be more likely to need help. 

These data layers generally date to 2015-2016, so could be considered reasonably representative of the base layers at the time of Hurricane Harvey.

Note on November 2023 updates: due to numerous updates among the resources linked below, this collection has been updated to point to the most recent resources.
DOI: 10.48597/aehv-5hrq
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/jg7a-3pne
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.ab3a463be73c4fd988a492b5d1b4c573
title: Texas Basemap - Transportation Map Data

description: This resource contains statewide networks of roadways, railroads, bridges, and low-water crossings, for Texas only. 

Roadways detail: The Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) maintains a spatial dataset of roadway polylines for planning and asset inventory purposes, as well as for visualization and general mapping. M values are stored in the lines as DFOs (Distance From Origin), and provide the framework for managing roadway assets using linear referencing. This dataset covers the state of Texas and includes on-systems routes (those that TxDOT maintains), such as interstate highways, U.S. highways, state highways, and farm and ranch roads, as well as off-system routes, such as county roads and local streets. Date valid as of: 12/31/2014. Publish Date: 05/01/2015. Update Frequency: Quarterly.

Bridges detail: As with the roadways, both on-system and off-system bridges are maintained in separate datasets (54,844 total bridges, 36,007 on-system and 18,837 off-system). Bridges have numerous useful attributes, see coding guide [1] for documentation. One such attribute identifies structures that cross water: the second digit of Item 42 “Type of Service”.  If the second digit is between 5 and 9 (inclusive) then the structure is over water. The bridges datasets are valid as of December 2016. 

The roadways and bridges datasets contained here were obtained directly from TxDOT through personal correspondence. An additional transportation data resource is the Texas Natural Resources Information System (TNRIS) [3].  The railroads and low-water crossings were obtained through TNRIS. 

November 2023 updates: in the years since this data archive was first published, TxDOT has developed an open data portal for downloading their roadway inventory and other datasets. Also, in 2023 TNRIS was renamed as the Texas Geographic Information Office (TxGIO). Their datahub [3] is continually evolving, but still has the tnris.org domain for now. We are not updating any of the basemap data in the contents list below, which was current at the time of Hurricane Harvey. 

References
[1]  TxDOT Bridges Coding Guide (download below)
[2] TxDOT Open Data Portal [https://gis-txdot.opendata.arcgis.com/]
[3] TNRIS/TxGIO data downloads [https://data.tnris.org/]
DOI: 10.48597/96hg-t78x
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.af6ae321e2ad40a1bc6d0b695370fbfc
title: Texas Basemap - Lidar Elevation Data (DEM)

description: This resource contains Lidar-DEM collection status shapefiles from the Texas Natural Resources  Information System (TNRIS) [http://tnris.org]. 
November 2023 updates: this year, TNRIS changed its name to Texas Geographic Information Office (TxGIO). The domain name hasn't changed yet, but the data hub is continually evolving. See [1], [2] for current downloadable data. 

For purposes of Hurricane Harvey studies, the 1-m DEM for Harris County (2008) has also been uploaded here as a set of 4 zipfiles containing the DEM in tiff files. See [1] for a link to the current elevation status map and downloadable DEMs.  
    Project name:  H-GAC 2008 1m 
    Datasets: 1m Point Cloud,  1M Hydro-Enforced DEM, 3D Breaklines, 1ft and 5ft Contours
    Points per sq meter: 1
    Total area:  3678.56 sq miles
    Source: Houston-Galveston Area Council (H-GAC)
    Acquired by:  Merrick, QA/QC:  Merrick
    Catalog:  houston-galveston-area-council-h-gac-2008-lidar

References: 
[1] TNRIS/TxGIO StratMap elevation data [https://tnris.org/stratmap/elevation-lidar/]
[2] TNRIS/TxGIO DataHub [https://data.tnris.org/]
DOI: 10.48597/cbvh-wnrx
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/cvw3-dwb4
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/pwa9-57ne
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.6b3b6b0e981041588ee392d794543c91
title: Texas Address and Base Layers Story Map

description: This resource links to the Texas Address and Base Layers Story Map (Esri ArcGIS Online web app) [1] that provides a graphical overview and set of interactive maps to download Texas statewide address points, as well as contextual map layers including roads, rail, bridges, rivers, dams, low water crossings, stream gauges, and others. The addresses were compiled over the period from June 2016 to December 2017 by the Center for Water and the Environment (CWE) at the University of Texas at Austin, with guidance and funding from the Texas Division of Emergency Management (TDEM). These addresses are used by TDEM to help anticipate potential impacts of serious weather and flooding events statewide.

For detailed compilation notes, see [2]. Contextual map layers will be found at [3] and [4].

November 2023 update:  in 2019, TNRIS took over maintenance of the Texas Address Database, which is now updated annually as part of the StratMap program [5]. Also, TNRIS changed its name this year to the Texas Geographic Information Office (TxGIO). The StratMap and DataHub download sites still use the tnris.org domain but that may change . 

References
[1] Texas Address and Base Layers story map [https://arcg.is/19PWu1]
[2] Texas-Harvey Basemap - Addresses and Boundaries [https://www.hydroshare.org/resource/3e251d7d70884abd928d7023e050cbdc/] 
[3] Texas Basemap - Hydrology Map Data [https://doi.org/10.4211/hs.adb14c9c073e4eee8be82fadb21a0a93/]
[4] Texas Basemap - Transportation Map Data [https://www.hydroshare.org/resource/ab3a463be73c4fd988a492b5d1b4c573/]
[5] TNRIS/TxGIO StratMap Address Points data downloads [https://tnris.org/stratmap/address-points/]
DOI: 10.48597/t38k-p4zj
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.034ed154a48b4b4e9a06ad498efd7794
title: CDC Social Vulnerability Index 2014

description: This is the Social Vulnerability Index (SVI) developed by the U.S. Centers for Disease Control (CDC) Agency for Toxic Substances and Disease Registry (ATSDR) [1]. This is often used by the emergency response community to anticipate areas where social support systems are weaker, and residents may be more likely to need help. A map viewer for the national database can be found here [2]. 

November 2023 updates: at the time of Hurricane Harvey, the latest SVI was based on 2014 census data. The CDC SVI website and feature services have since changed. See the current (updated) links for more details. 

Subsets of CDC's 2014 SVI for the Hurricane Harvey and Hurricane Irma hydrologic study areas can be downloaded from the contents list below. 

[1] SVI web site [https://www.atsdr.cdc.gov/placeandhealth/svi/index.html
[2] SVI interactive map [https://www.atsdr.cdc.gov/placeandhealth/svi/interactive_map.html]
DOI: 10.48597/zpp2-zsf7
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/38k7-q2kw
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/cpqa-p2yb
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.fef0c81b39944374ae1c6359a71d68c9
title: Hurricane Harvey 2017 Story Map

description: This resource links to the Hurricane Harvey 2017 Story Map (Esri ArcGIS Online web app) [1] that provides a graphical overview and set of interactive maps to download flood depth grids, flood extent polygons, high water marks, stream gage observations, National Water Model streamflow forecasts, and several other datasets compiled before, during and after Hurricane Harvey.

November 2023 updates:  Esri has deprecated the previous story map template, so a new story map has been generated. Most of the content is the same as before, with these exceptions: 
- The Vulnerabilities and the Harvey Stories pages have been removed, due to nonfunctioning web links to other Harvey resources out of our control. 
- Story map links to HydroShare resource pages have been updated to the most current HydroShare resource versions. 

References
[1] Hurricane Harvey Story Map [https://arcg.is/1rWLzL0]
DOI: 10.48597/efmq-r98v
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/p73h-u5rf
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.0398e48cfadc4fa0b3b0b8836c6c58d9
title: Peru Watershed Data for the Arequipa Region

description: Surface water quality has been monitored in southern Peru for over a century, but the information is only available from various organizations with considerable delay after official requests. A substantial portion of the data have not been quality assured and were available in difficult-to-access formats such as scanned PDF documents, which made it difficult to evaluate water quality trends. In this project, we gathered all available surface water quality information from five watersheds in the Arequipa Region of southern Peru: Camaná, Chili, Ocoña, Tambo, and Yauca. The effort required entry of more than 130 thousand records of general chemistry, nutrients, and parameters, metals, organic compounds, and biological taxa from 247 stations. The water quality records span the years 2010 to 2021. This paper describes how the water quality data were assimilated and provides one master Excel database so that the surface water quality data can be used for research and decision making
DOI: 10.48597/uge4-mvhc
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/876q-bqpu
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/wrr7-rwxf
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/d647-tu8q
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew