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(update ESSD cross-ref)

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(update ESSD Cross-ref when published)

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These data accompany the publication:

Ward, A. S., Zarnetske, J. P., Baranov, V., Blaen, P. J., Brekenfeld, N., Chu, R., Derelle, R., Drummond, J., Fleckenstein, J., Garayburu-Caruso, V., Graham, E., Hannah, D., Harman, C., Hixson, J., Knapp, J. L. A., Krause, S., Kurz, M. J., Lewandowski, J., Li, A., Martí, E., Miller, M., Milner, A. M., Neil, K., Orsini, L., Packman, A. I., Plont, S., Renteria, L., Roche, K., Royer, T., Schmadel, N. M., Segura, C., Stegen, J., Toyoda, J., Wells, J., Wisnoski, N. I., and Wondzell, S. M.: Co-located contemporaneous mapping of morphological, hydrological, chemical, and biological conditions in a 5th order mountain stream network, Oregon, USA, Earth Syst. Sci. Data. https://doi.org/10.5194/essd-11-1-2019

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(update with ESSD cross-reference)

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(add ESSD cross-reference here)

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Observed in-stream timeseries of concentration for two whole-stream, pulse (aka slug) injections of uranine and resazurin in two reaches of the Hammer Stream (West Sussux, UK) with contrasting morphology (one sand bed, one gravel bed). In-stream monitoring includes background- and drift-corrected timeseries of uranine, resazurin, and resorufin collected at mulitple locations along the stream channel.

Sand-bed reach data are described and interpreted by:
Blaen PJ, et al. (2018). Woody debris is related to reach‐scale hotspots of lowland stream ecosystem respiration under baseflow conditions. Ecohydrology. https://doi.org/10.1002/eco.1952

A sub-set of the sand-bed and gravel-bed data are described and interpreted by:
Kelleher, CA, et al. (2019). Exploring Tracer Information and Model Framework Trade‐offs to Improve Estimation of Stream Transient Storage Processes. Water Resources Research.https://doi.org/10.1029/2018WR023585

Primary data collection, quality control, and interpretation is attributable to all authors on the publications cited above.
Data collection was primarily funded by the Leverhulme Trust via the following award:
Where rivers, groundwater, and disciplines meet: a hyporheic research network
Principal Investigators: Stefan Krause (Univ. of Birmingham), Jay Zarnetske (Yale University), Adam S. Ward (Indiana University), Scott Larned (National Institute of Water and Atmospheric Research), Thibault Datry (National Research Institute of Science and Technology for Environment and Agriculture), Eugenia Marti (Center for Advanced Studies of Blanes, National Research Council), Jan Fleckenstein (Helmholtz Centre for Environmental Research)

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Tabular data used to generate figures for the article:
Cain, MR, Ward, AS, Hrachowitz, M. Ecohydrologic separation alters interpreted hydrologic stores and fluxes in a headwater mountain catchment. Hydrological Processes. 2019. https://doi.org/10.1002/hyp.13518

The study site is the H.J. Andrews Experimental Forest located in the western Cascade Mountains of Oregon, USA. Datasets correspond to a two water worlds (2WW) and a one water world model (1WW). These include behavioral set parameters, modeled stream discharge and chloride concentration, mean water storages, time series of plant available water storage, time series of daily residence times, and residence time probability distributions for the unsaturated zone.

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Tabular model output data in support of the publication:

Ward AS, Wondzell SM, Schmadel NM and Herzog SP (2020) Climate Change Causes River Network Contraction and Disconnection in the H.J. Andrews Experimental Forest, Oregon, USA. Front. Water 2:7. doi: 10.3389/frwa.2020.00007

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Data accompany the peer-reviewed manuscript:

Ward, A.S.; Kurz, M.J.; Schmadel, N.M.; Knapp, J.L.; Blaen, P.J.; Harman, C.J.; Drummond, J.D.; Hannah, D.M.; Krause, S.; Li, A.; Marti, E.; Milner, A.; Miller, M.; Neil, K.; Plont, S.; Packman, A.I.; Wisnoski, N.I.; Wondzell, S.M.; Zarnetske, J.P. Solute Transport and Transformation in an Intermittent, Headwater Mountain Stream with Diurnal Discharge Fluctuations. Water 2019, 11, 2208.

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A series of hyporheic exchange studies were conducted in watersheds 01 and 03 during the summer of 2010 using saline tracers coupled with electrical resistivity to image the temporal and spatial extent of the hyporheic zone during baseflow recession. A series of four 48-hr tracer tests were conducted in each watershed on a rotational schedule with each tracer test starting approximately 2 weeks following the start of the previous test in each watershed. Each tracer injection was targeted to enrich the stream electrical conductivity by ~100 uS/cm. Electrical resistivity surveys were conducted on up to 6 transects of electrodes (12 electrodes per transect) in each watershed for each test. Resistivity surveys were collected, on a high temporal frequency ranging from continuous to every 4 hrs, for pre-injection, injection, and post-injection until conductivity measurements in the shallow groundwater well network returned to pre-injection magnitudes. During each injection conductivity magnitudes were measured in the stream and each accessible groundwater well in the watershed using a handheld conductivity meter on a frequency ranging from near continuous (~15-30 min), during tracer start-up and shutoff, to every 2-6 hrs depending on position within the tracer test. Hydraulic head data was collected approximately every 15 minutes by downwell pressure transducers from a select set of groundwater wells in each watershed for nearly the full summer 2010.

These data were published in a series of papers outlined below.

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This collection aggregates educational resources for instructors teaching hydrology, water resources, and related fields. Entries in this collection are owned and managed by the creators of the items within this collection - this entry serves to provide a single location to organize these files.

Attribution of content should be to the authors who have contributed in the 'collection contents', not to this HydroShare entry.

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Lecture notes, problem sets, group assignment, syllabus, and schedule for Introduction to Environmental Science taught at Indiana University. Course materials developed Fall 2016 semester.

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Water Quality Modeling course lecture notes and scaffolding for homework problems out of the course textbook (Chapra's Surface Water Quality Modeling).

Acknowledgement to Mike Gooseff and Noel Urban - I took this course from each of them at different times in my career, which helped me appreciate different approaches to the content and its delivery. The content here surely reflects the education received from these instructors.

Note that a series of videos that accompany this course have been recorded and are available at the URL provided in the resource. These videos serve as derivations, examples and exercises for students, and review of key concepts. Videos are hosted via Ward's personal website due to permissions challenges at present. https://www.wardhydrolab.com/teaching-resources.html

Lectures and the accompanying videos are organized based on the 'lectures' (i.e, chapters) in the course textbook. Note that I've skipped some, combined others, and generally cover the first 2/3 of the text in a typical semester, supplementing with several lectures on how to use open-source water quality models, such as Qual2K, SSTEMP, and more.

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Fluid mechanics syllabus, schedule, course notes, slides.

Acknowledgement to Mike Gooseff, David Hill, Patrick Reed, Thorsten Wagener - I TA'd this course for each of these instructors as a PhD student and their examples, explanations, and input surely has guided the way I present and organize the course.

Note that a series of videos that accompany this course have been recorded and are available at the URL provided in the resource. These videos serve as derivations, examples and exercises for students, and review of key concepts. Videos are hosted via Ward's personal website due to permissions challenges at present.

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This is a click-by-click guide from Adam Ward to help new users quickly and easily get their educational materials uploaded to share in this collection

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Field Methods in Hydrologic Science was taught in 2013 as a 3-credit course (2 x 45-min lecture + 1 x 2-hr lab), for a total of 45 class meetings. Content provided is organized by lecture number (1 through 45).

Included in this resource are:
-- Lecture notes (including instructors notes and slides)*
-- Homework assignments (10 in total)
-- Semester project assignment
-- Reading assignments (titled X.pdf, where X is the lecture number associated with the reading)
-- Supplemental Reference Materials

A few minor notes:
* The 'missing' lecture folders were guest speakers and visits to local, instrumented field sites
- we didn't have a 'Lecture 1' because that day of the semester was M.L. King Jr. Day

When this course was offered, we worked with the American Institute of Hydrology. Students took the AIH Level I Hydrologic Technician exam as their final exam for the class. Upon passing the exam and completing the course, students earned this credential. This is likely possible for others, but would require coordination directly with AIH.

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This resource contains an English translation of P.A. Chappuis' article "A new biotope of aquatic underground fauna" and a copy of the original “Un nouveau biotope de la faune souterraine aquatique” published in 1946 in the Bulletin de la Section Scientifique de l’Académie Roumaine, 29: 1-8. The article was translated by S.P. Herzog, edited by A. Herzog Howell, and the translation also includes a prefatory note by A.S. Ward and S.P. Herzog. Chappuis' article was the first to identify the new biotope that would later by named the hyporheic zone (i.e., by T. Orghidan in 1955). We hope that by making this article available to English speakers, a new generation of scientists will learn more about the origins of hyporheic science and be inspired as they make their own discoveries.

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Tabular model output data in support of the publication:

Ward AS, Wondzell SM, Schmadel NM and Herzog SP (2020) Climate Change Causes River Network Contraction and Disconnection in the H.J. Andrews Experimental Forest, Oregon, USA. Front. Water 2:7. doi: 10.3389/frwa.2020.00007

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This resource contains the spatial data and a tabular summary of results that are presented in the manuscripts:

Walsh R and Ward AS (2019) Redefining Clean Water Regulations Reduces Protections for Wetlands and Jurisdictional Uncertainty. Front. Water 1:1. doi: 10.3389/frwa.2019.00001

Walsh and Ward. In Review at WIREs-Water. A quantitative history of the U.S. Clean Water Act’s jurisdiction.

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This entry contains the supporting data for the manuscript:

Ward, A. S., Packman, A., Bernal, S., Brekenfeld, N., Drummond, J., Graham, E., Hannah, D. M., Klaar, M., Krause, S., Kurz, M., Li, A., Lupon, A., Mao, F., Roca, M. E. M., Ouellet, V., Royer, T. V., Stegen, J. C., & Zarnetske, J. P. (2022). Advancing river corridor science beyond disciplinary boundaries with an inductive approach to catalyse hypothesis generation. Hydrological Processes, 36( 4), e14540. https://doi.org/10.1002/hyp.14540

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Tabular data used in support of the publication:
Cain, M. R., Woo, D. K., Kumar, P., Keefer, L., & Ward, A. S. (2022). Antecedent conditions control thresholds of tile-runoff generation and nitrogen export in intensively managed landscapes. Water Resources Research, 58, e2021WR030507. https://doi.org/10.1029/2021WR030507

Data includes raw field observation time series, analyzed modeled output, and data used to recreate paper figures. The study site is the Allerton Trust Farm, which is part of the Intensively Managed Landscapes Critical Zone Observatory (IML-CZO) located near Monticello, Illinois.

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This resource contains supporting data for the manuscript:

Balson & Ward
A machine learning approach to water quality forecasts and sensor network expansion: Case study in the Wabash River Basin, USA
In review at Hydrological Processes

(full citation to be updated here upon manuscript publication)

The data presented are tabular outputs of discharge and stream nitrogen concentrations (nitrate-as-N) for all USGS sites within the Wabash River Basin, spanning the period of simulation 1948-2007. Data were generated using Agro-IBIS and THMB, matching exactly previously published modeling results.

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Supporting Data for:

Hixson, J.L.; Ward, A.S. Hardware Selection and Performance of Low-Cost Fluorometers. Sensors 2022, 22, 2319. https://doi.org/10.3390/s22062319

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Stream solute tracer data initially presented in:

Payn, R. A., Gooseff, M. N., McGlynn, B. L., Bencala, K. E., and Wondzell, S. M. (2009), Channel water balance and exchange with subsurface flow along a mountain headwater stream in Montana, United States, Water Resour. Res., 45, W11427, doi:10.1029/2008WR007644.

A version of these data have been subsequently analyzed in several publications including:

Patil, S., T. P., Covino, A. I., Packman, B. L., McGlynn, J. D., Drummond, R. A., Payn, and R., Schumer (2013), Intrastream variability in solute transport: Hydrologic and geomorphic controls on solute retention, J. Geophys. Res. Earth Surf., 118, 413– 422, doi:10.1029/2012JF002455.

Kelleher, C., Wagener, T., McGlynn, B., Ward, A. S., Gooseff, M. N., and Payn, R. A. (2013), Identifiability of transient storage model parameters along a mountain stream, Water Resour. Res., 49, 5290– 5306, doi:10.1002/wrcr.20413.

Ward, A. S., Payn, R. A., Gooseff, M. N., McGlynn, B. L., Bencala, K. E., Kelleher, C. A., Wondzell, S. M., and Wagener, T. (2013), Variations in surface water-ground water interactions along a headwater mountain stream: Comparisons between transient storage and water balance analyses, Water Resour. Res., 49, 3359– 3374, doi:10.1002/wrcr.20148.

Ward, A.S., Kelleher, C.A., Mason, S.J.K., Wagener, T., McIntyre, N., McGlynn, B., Runkel, R.L., and Payn, R.A. (2017), A software tool to assess uncertainty in transient-storage model parameters using Monte Carlo simulations, Freshwater Science, 36(1), https://doi.org/10.1086/690444