cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.51d1539bf6e94b15ac33f7631228118c
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: 10.4211/hs.12e69ee668124fdf833b29b5167e03c3
title: 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).
DOI: 10.4211/hs.6168b9969c984b658952a896710b65ef
title: NOAA NHC - Harvey 2017 Storm Track

description: The NOAA National Hurricane Center (NHC) publishes advisory bulletins with named storm conditions and expectations, see [1]. We have also downloaded shapefiles for forty-three 5-day forecasts (published from August 17 to August 30) of track line, predicted points, ensemble forecasts envelope, and affected shoreline where applicable. NOAA also publishes the best track for major storms [3]. The "best track" is a smoothed version of the advisories track. Web services are also provided by NHC for the advisory points and lines [4] [5]. 

References
[1] NOAA NHC - Harvey storm advisories [http://www.nhc.noaa.gov/archive/2017/HARVEY.shtml]
[2] NOAA NHC - Harvey 5-day forecasts [https://www.nhc.noaa.gov/gis/archive_forecast_results.php?id=al09&year=2017&name=Hurricane%20HARVEY]
[3] NOAA NHC - best tracks for 2017 storms [https://www.nhc.noaa.gov/data/tcr/index.php?season=2017&basin=atl]
[4] NOAA NHC - Harvey advisory points web service [https://services.arcgis.com/XSeYKQzfXnEgju9o/ArcGIS/rest/services/The_2017_Atlantic_Hurricane_season_(to_October_16th)/FeatureServer/0]
[5] NOAA NHC - Harvey advisory lines web service [https://services.arcgis.com/XSeYKQzfXnEgju9o/ArcGIS/rest/services/The_2017_Atlantic_Hurricane_season_(to_October_16th)/FeatureServer/5]
DOI: 10.17026/ar/znx4h9
title: PAN-00008450 - coin/coin-related, Constantinus I en zonen (306-361), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00008450&lt;/p&gt;
description: Modified: 2025-06-10T09:20:48+02:00
DOI: 10.4211/hs.abb61157105746e5a03f983c0c6a8249
title: NOAA NWC - Harvey National Water Model Streamflow Forecasts

description: The National Water Model (NWM) is a water forecasting model operated by the National Water Center (NWC) of the NOAA National Weather Service. The NWM continually forecasts flows on 2.7 million stream reaches covering 3.2 million miles of streams and rivers in the continental United States [1]. It operates as part of the national weather forecasting system, with inputs from NOAA numerical weather prediction models, and from weather and water conditions observed through the US Geological Survey's National Water Information System. Reference materials for the computational framework behind NWM is published by NCAR [9] [10]. 

The NWC generates NWM streamflow forecasts for the continental US (CONUS) with multiple forecast horizons and time steps. Due to the output file sizes, these are normally not available for download more than a couple days at a time [2]. However, a 40-day rolling window of these forecasts is maintained by HydroShare at RENCI [3], and a complete retrospective (August 2016 to the present) of the NWM Analysis & Assimilation outputs is maintained as well (contact help@cuahsi.org for access).    

An archive of all NWM forecasts for the period Aug 18 to Sept 10, 2017 has been compiled at RENCI [4] [5], available as netCDF (.nc) files totaling 8TB. These can be browsed, subsetted, visualized, and downloaded (see [6] [7] [8]). In addition to these output files, we have uploaded to this HydroShare resource the input parameter files needed to re-run the NWM for the Harvey period, or for any time period covered by NWM v1.1 and 1.2 (August 2016 to this publication date in August 2018).  These parameter files are also made available at [1]. 

See README for further details and usage guidance. Please see NOAA contacts listed on [1] for questions about the NWM data contents, structure and formats. Contact help@cuahsi.org if any questions about HydroShare-based tools and data access.  

References
[1] Overview of the NWM framework and output files [http://water.noaa.gov/about/nwm] 
[2] Free access to all National Water Model output for the most recent two days [ftp://ftpprd.ncep.noaa.gov/pub/data/nccf/com/nwm]
[3] NWM outputs for rolling 40-day window, maintained by HydroShare [http://thredds.hydroshare.org/thredds/catalog/nwm/catalog.html]
[4] Archived Harvey NWM outputs via RENCI THREDDS server [http://thredds.hydroshare.org/thredds/catalog/nwm/harvey/catalog.html]
[5] RENCI is an Institute at the University of North Carolina at Chapel Hill 
[6] Live map for National Water Model forecasts [http://water.noaa.gov/map]
[7] NWM Forecast Viewer app [https://hs-apps.hydroshare.org/apps/nwm-forecasts]
[8] CUAHSI JupyterHub example scripts for subsetting NWM output files [https://hydroshare.org/resource/3db192783bcb4599bab36d43fc3413db/]
[9] WRF-Hydro Overview [https://ral.ucar.edu/projects/wrf_hydro/overview]
[10] WRF-Hydro User Guide 2015 [https://ral.ucar.edu/sites/default/files/public/images/project/WRF_Hydro_User_Guide_v3.0.pdf]
DOI: 10.4211/hs.a270f893d7cd4a0f9bf98af40ea5eaa2
title: ECMWF GloFAS - Harvey+Irma Flood Area Grids

description: These datasets were obtained from ECMWF/GloFAS on November 13, 2017, to include the flood forecast (area grid) for Hurricanes Harvey and Irma in the USA from August 15 - September 15, 2017. These are contained in netCDF files, one per day. 

Note that while folders and files may have the words "areagrid_for_Harvey" in the name, all the data here are for the southeast USA, encompassing both Harvey and Irma impact areas. 

Dataset variables:
      - dis = forecasted discharge (for all forecast step 1+30 as initial value and 30 daily average values, with ensemble members as 1+50 where the first is the so-called control member and the 50 perturbed members)
     - ldd = local drainage direction within routing model
     - ups = upstream area of each point within routing model
     - rl2,rl5,rl20 = forecast exceedance thresholds for 2-, 5- and 20-year return period flows, based on gumbel distribution from ERA-interim land reanalysis driven through the lisflood routing.

Models used (see [2] for further details):
    - Hydrology: River discharge is simulated by the Lisflood hydrological model (van der Knijff et al., 2010) for the flow routing in the river network and the groundwater mass balance. The model is set up on global coverage with horizontal grid resolution of 0.1° (about 10 km in mid-latitude regions) and daily time step for input/output data.
    - Meteorology: To set up a forecasting and warning system that runs on a daily basis with global coverage, initial conditions and input forcing data must be provided seamlessly to every point within the domain. To this end, two products are used. The first consists of operational ensemble forecasts of near-surface meteorological parameters. The second is a long-term dataset consistent with daily forecasts, used to derive a reference climatology.

Suggestions for usage: 
     - Selected software: ArcGIS or QGIS 
     - Select dis for example, then any of the bands (51*31 in total), then set the range manually to 0-1000 or something like that.

Agency:
GloFAS [1]
From its public website: "The Global Flood Awareness System (GloFAS), jointly developed by the European Commission and the European Centre for Medium-Range Weather Forecasts (ECMWF), is independent of administrative and political boundaries. It couples state-of-the art weather forecasts with a hydrological model and with its continental scale set-up it provides downstream countries with information on upstream river conditions as well as continental and global overviews. GloFAS produces daily flood forecasts in a pre-operational manner since June 2011."

References
[1] GloFAS home page [http://www.globalfloods.eu/]
[2] Data and methods [http://www.globalfloods.eu/user-information/data-and-methods]
DOI: 10.4211/hs.7661752c688a4f3ebcf58f8657773530
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 (streams, gages, dams, catchments, watersheds)
- Transportation (Texas roads, railways, bridges, low water crossings)

The Addresses, Transportation and Dams datasets are for Texas only, but the remaining Hydrology data covers an area of 39 HUC6 basins around the Harvey zone across southeast Texas, Louisiana, Mississippi and Arkansas. 

These data layers generally date to 2015-2016, so could be considered reasonably representative of the base layers at the time of Hurricane Harvey. 

The Texas Address and Base Layers Story Map referenced here [1] is an interactive web app supported by Esri ArcGIS Online, that provides visualization and access to specific data layers for Texas only. 

One other base layer is the 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. 

References
[1] Texas Address and Base Layers Story Map [https://www.hydroshare.org/resource/6d5c7dbe0762413fbe6d7a39e4ba1986/]
DOI: 10.4211/hs.615d426f70cc4346875c725b4b8fdc59
title: USGS - Harvey High Water Marks

description: During and after Hurricane Harvey, the US Geological Survey recorded high water marks across southeast Texas, as they do for every major storm. The files in this dataset provide 2123 high water marks for Hurricane Harvey flooding, among 1258 sites. These files were downloaded following the steps below. If you'd like to check the original sources again, or search for HWM for a different storm, you may find these directions helpful.  

Finding, Downloading and Filtering USGS High Water Marks (HWM)
1. Visit USGS website: https://water.usgs.gov/floods/history.html, which lets you…
2. Click on Hurricane Harvey: https://www.usgs.gov/harvey, which lets you… 
3. Click on green button Get Data: https://stn.wim.usgs.gov/fev/#HarveyAug2017 
4. In left margin menu of resulting page, click a second Get Data link. This will open up the remaining options below. 
5. Click each data type you want, such as High-Water Mark, Peak Summary, or Sensor Data. It’s only csv or REST (json or xml).

* I downloaded the HWM as csv, opened in Excel, clicked the Sort & Filter tool in Excel toolbar, clicked Filter, then filtered on "Harvey Aug 2017” in the popup list for column E (Event Name). I saved the result to a new spreadsheet which now has 2123 records, plus column labels in row 1.

* To understand the fields or columns of this table, see HWM_Peaks_Sensors_Data_Dictionary_20180329.xslx in the contents below.
DOI: 10.4211/hs.5efdb83e96da49c5aafe5159791e0ecc
title: Texas Basemap - Hydrology Map Data

description: This resource contains Texas statewide hydrologic map data for about 100,000 NHD (National Hydrography Dataset) stream reaches and associated catchments & subwatersheds [1], covering 190,000 stream miles in Texas. Additional map layers include dams, FEMA floodplains and warning zones [2], stream gages [3], and National Weather Service River Forecast Points [4]. 

The USGS stream gages and NWS AHPS forecast points both have a URL field, which takes you to the authoritative webpage for each selected gage or forecast point. 

References
[1] NHDPlus Version 2 [http://www.horizon-systems.com/NHDPlus/V2NationalData.php]
[2] Esri Living Atlas [https://livingatlas.arcgis.com]
[3] USGS NWIS [https://waterdata.usgs.gov/nwis]
[4] NOAA AHPS [https://water.weather.gov/ahps/forecasts.php]
DOI: 10.4211/hs.106b38ab28b54f09a2c7a11b91269192
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: 10.4211/hs.9beae002ea6f44588ea7339c194548a7
title: Data Rods Explorer Demo: Visualize NASA Data

description: This is a step-by-step demonstration of how to browse NASA data services for land surface maps and time series data using the Data Rods Explorer (DRE) App [1]; followed by a step by step demonstration of how to compare a single model variable for a single location over multiple years. See the DRE User Guide [2] for complete description of this application. 

References
[1] Data Rods Explorer App [https://apps.hydroshare.org/apps/data-rods-explorer/]
[2] DRE User Guide [https://github.com/gespinoza/datarodsexplorer/blob/master/docs/DREUserGuide.md]
DOI: 10.4211/hs.acd17ba3d8a34637a7180550eab5091a
title: Soil Chemistry and Greenhouse Gas Emissions - Luquillo Experimental Forest, Puerto Rico, USA

description: This dataset includes concentration and redox speciation of analytes (iron, sulfur, nitrogen) from targeted chemical extraction of surface soil samples collected from the Luquillo CZO in September 2011 as well as greenhouse gas flux rates (carbon dioxide, methane, and nitrous oxide) for incubated subsamples of these surface soils under experimental manipulations of anaerobiosis (oxygen removal) and flooding. 

The metadata file provides treatment key. 

Statistical summaries and methodological details for these data have been published at doi:10.1002/2013JG002433.
DOI: 10.4211/hs.a5dbd5b198c9468387f59f3fefc11e22
title: SUMMA 2.0.0 Sopron version (lubuntu-16.10)

description: SUMMA (Clark et al., 2015a;b;c) is a hydrologic modeling framework that can be used for the systematic analysis of alternative model conceptualizations with respect to flux parameterizations, spatial configurations, and numerical solution techniques. It can be used to configure a wide range of hydrological model alternatives and we anticipate that systematic model analysis will help researchers and practitioners understand reasons for inter-model differences in model behavior. When applied across a large sample of catchments, SUMMA may provide insights in the dominance of different physical processes and regional variability in the suitability of different modeling approaches. An important application of SUMMA is selecting specific physics options to reproduce the behavior of existing models – these applications of "model mimicry" can be used to define reference (benchmark) cases in structured model comparison experiments, and can help diagnose weaknesses of individual models in different hydroclimatic regimes.

SUMMA is built on a common set of conservation equations and a common numerical solver, which together constitute the “structural core” of the model. Different modeling approaches can then be implemented within the structural core, enabling a controlled and systematic analysis of alternative modeling options, and providing insight for future model development.

The important modeling features are:

The formulation of the conservation model equations is cleanly separated from their numerical solution;

Different model representations of physical processes (in particular, different flux parameterizations) can be used within a common set of conservation equations; and

The physical processes can be organized in different spatial configurations, including model elements of different shape and connectivity (e.g., nested multi-scale grids and HRUs).

This version updated for the sopron workshop in Hungary(15~18 April, 2018)
DOI: 10.4211/hs.69f7d237675c4c73938481904358c789
title: Height Above Nearest Drainage (HAND) for CONUS

description: Height Above Nearest Drainage (HAND) is an approach for estimating the vertical height of any point on the landscape from the nearest stream surface or bed.  This dataset is based on the U.S. Geological Survey's National Elevation Dataset (NED) with 10-meter horizontal resolution, comprising raster data for the 331 HUC-6 units in conterminous U.S. (CONUS), excluding the five units of the great lakes. This was developed at the UIUC CyberGIS supercomputing facility, and is now archived at the UT Austin TACC (Texas Advanced Computing Center) for download.  

To interactively select HAND data by HUC6 basin in either the Harvey or Irma hydrologic study area, use the Harvey Archive Story Map [http://arcg.is/001jje] or the Irma Archive Story Map [http://arcg.is/PSOKH] and click on the HAND tab.  To directly browse this data for anywhere in CONUS, visit [https://web.corral.tacc.utexas.edu/nfiedata/]. 

For an explanation of the contents of the nfiedata folder at TACC, see README file for this resource.
DOI: 10.4211/hs.165e2c3e335d40949dbf501c97827837
title: FEMA - Harvey Flood Depths Grid

description: This resource describes a dataset of gridded depth at horizontal resolution of 3 meters, published November 15, 2017, downloaded from FEMA [1] and hosted in this archive at the University of Texas Advanced Computing Center (TACC) [2].. The raster dataset is contained within an Esri ArcGIS geodatabase. This product utilized Triangulated Irregular Network (TIN) interpolation, four quality assurance measures (identifying dips, spikes, duplication, and inaccurate/unrealistic measurements). High Water Marks were obtained from the Harris County Flood Control District (HCFCD), US Geological Survey (USGS), and other inspection data. Elevation data comprised a mosaic of 3 meter resampled elevations from 1M & 3M LiDAR, and IFSAR data. One section of the IfSAR data was found to be erroneous, and replaced with a blended 10 meter section. 
[This description was in correspondence January 22, 2018, from Mark English, GeoSpatial Risk Analyst, FEMA Region VIII, Mitigation Division.]

A preliminary version of these depths dated September 10, 2017 can be viewed in a FEMA web map [3]. This web map shows a forecasted depth grid, based on National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) forecasted water levels. 

See FEMA's Natural Hazard Risk Assessment Program (NHRAP) ftp site [4] for additional HWM-based depth grids and inundation polygons:
- Harris County AOIs and Inundation Boundaries [5]
- Harris County Depth Grids [6]
- Aransas, Nueces, and San Patricio Coastal Depth Grids and Boundaries [7]
FEMA notes on these Modeled Preliminary Observations:
o Based on observed Water Levels at stream gauges interpolated along rivers, downsampled to 5m resolution DEM
o Depth grids updated with new observed peak crest as they become available
o Will include High Water Mark information as it becomes available
o Extents validated with remote sensing
o Use for determining damage levels on specific structures

See also FEMA's journal of mitigation planning and actions related to Harvey [8].  

References and related links:
[1] FEMA_Depths_3m_v3.zip (39 gb ftp download) [https://data.femadata.com/Region8/Mitigation/Data_Share/]
[2] TACC 39gb wget or ftp download [https://web.corral.tacc.utexas.edu/nfiedata/Harvey/flood_data/FEMA_Harvey_Depths_3m.gdb.zip]
[3] FEMA map viewer for Hurricane Harvey resources (flood depths is bottom selection in layers list) [https://fema.maps.arcgis.com/apps/webappviewer/index.html?id=50f21538c7bf4e08b9faab430bc237c9]
[4] FEMA NHRAP ftp [https://data.femadata.com/FIMA/NHRAP/Harvey/]
[5] [https://data.femadata.com/FIMA/NHRAP/Harvey/Harris_AOIandBoundaries.zip]
[6] [https://data.femadata.com/FIMA/NHRAP/Harvey/Harris_Mosaic_dgft.zip]
[7] [https://data.femadata.com/FIMA/NHRAP/Harvey/Rockport_DG_unclipped.zip]
[8] Hurricane Harvey Mitigation Portfolio - FEMA map journal [https://fema.maps.arcgis.com/apps/MapJournal/index.html?appid=70204cf2762d45409553fd9642700b7f]