nyuuzyou/wikis huggingface dataset:
Available movie conditions

=Available Movie metadata conditions=
The table below contain all possible Movie metadata query conditions that can be using within the SMW query style. See more at Web APIs on how to include these conditions in an API query.
Condition 	Definition
Movie:+ 	Notice: Always use this condition to ensure you are querying the movie metadata database. Within the Movie repo, select all records (+); or replace + by a movie name to select data of a specific movie. CSDMS has grouped all movies in a separate Namepace, named "Movie".
Movie type 	Indicate what kind of movie it is (observation in the field, lab experiment, model simulation)
Upload movie 	The Youtube ID of the movie
Upload image movie 	An screenshot of the movie
Caption movie 	Description of the image of the movie
Movie domain 	Indication of the domain that is shown in the movie (more than one possible)
Movie keywords 	Keywords describing the movie
First name contributor 	First name contributor
Last name contributor 	Given name contributor
Location movie 	Indication of the location shown in the movie
Timespan movie 	Temporal scale of the movie
Grade level 	For what grade level is the movie appropriate (more options possible)
One-line movie description	Short description of the movie
Extended movie description	Extended description of the movie
Upload image theory 	Theory shown in the movie
Caption box theory 	Theory shown in the movie
Theory movie 	Theory shown in the movie
Movie website if any 	Website where the movie can be viewed as well
Awards

== CSDMS 2025 awards==
Congratulations Brad Murray, winner of the 2025 CSDMS lifetime achievement award!
Congratulations Maire-Christin Wimmler, winner of the 2025 Syvitski Student Modeler Award!
== CSDMS lifetime achievement award==
</div>
===About===
Since 2010, the CSDMS Lifetime Achievement Award has been bestowed for outstanding and sustained achievements in earth surface processes modeling research and service contributions to the global CSDMS community. Examples of what that may look like are:
* fundamental advances in the development and application of earth-surface dynamics theory;
* use of computational modeling to shed light on earth-surface systems;
* development of new computational techniques and/or tools;
* contributions to, development of, and/or applications of, high-quality community open-source software for modeling and/or analysis;
* contributions to community science advances related to modeling and/or earth-surface dynamics;
* contributions that are/were sustained over a full career; and,
* contributions to teaching and mentoring the next generation of scientist.
===Past Recipients===
* 2025 Brad Murray
* 2024 Randy Leveque
* 2023 Courtney Harris
* 2022 Dano Roelvink
* 2021 Efi Foufoula-Georgiou
* 2020 Garry Willgoose
* 2019 Jaia Syvitski
* 2018 
* 2017 Bob Anderson
* 2016 Mary Hill
* 2015 Chris Paola
* 2014 Pat Wiberg
* 2013 Alan Howard
* 2012 
* 2011 Rudy Slingerland
* 2010 Gary Parker
</div>
== Student Modeler Award ==
</div>
===About===
Since 2011, graduate students and first-year postdocs studying earth and planetary surface processes have been invited to compete for the Syvitski Student Modeler Award. Awardees are chosen based on ingenuity, applicability, and advancement of modeling of earth and planetary surface processes. The student modeler award is named in honor of Jaia Syvitski, the founding executive director of CSDMS from 2001 to 2017, who has inspired countless modelers. Awardees are selected based on the following criteria:
:Software
:* Software development practices
:* Open source code licensing
:* Public availability of code
:* Code quality
:* Documentation quality
:* Build/run procedures
:Science
:* Quality/complexity of the scientific problem
:* Follows the CSDMS philosophy
:* Modeling is an important component in the project
:* Modeling is executed appropriately
:* Modeling demonstrates attributes that exceed current common practices
===Past Recipients===
* 2025 Maire-Christin Wimmler
* 2024 Sebrian Beselly
* 2023 Kyle Wright
* 2022 Marco Tangi
* 2021 Arye Janoff
* 2020 Ian Reeves
* 2019 Lettie Roach
* 2018 Julio Hoffiman Mendes
* 2017 Julia Moriarty
* 2016 Anders Damsgaard
* 2015 Jean-Arthur Olive
* 2014 Ajay Limaye
* 2013 Surendra Adhikari
* 2012 
* 2011 Man Liang
</div>
Information on the Syvitski Student Modeler Award competition can be found here.
BMI

325 px | right 
Version 2.0
Automobiles benefit from a standard interface--regardless of whether you drive a pickup truck or an electric two-seater,
you have an ignition, an accelerator, and steering wheel.
Imagine spending weeks of study to switch from one type of automobile to another,
or from one brand to another.
At CSDMS,
we believe that numerical models, and the sub-components that make up these models, should offer a similar kind of standardization.
To this end, we have developed the Basic Model Interface (BMI): a set of standard query and control functions that, when added to a model code, make that model both easier to learn and easier to couple with other software.
BMI is an element of the CSDMS Workbench, an integrated system of software tools, technologies, and standards for building and coupling models.
== Links ==
* The latest BMI documentation, including the Getting Started Guide and BMI Best Practices.
* The central BMI repository on GitHub: Go here to contribute to BMI, ask a BMI-related question, or submit an issue.
* The BMI 2.0 language specifications for C, C++, Fortran, Java, and Python. If you have a model in one of these supported languages, implement the corresponding spec to create a BMI.
* Sample implementations in C, C++, Fortran, Java, and Python. These examples demonstrate how to implement a BMI for a simple model.
* The Peckham et al. (2013) article in Computers & Geosciences where the concept of BMI was proposed.
* The Hutton et al. (2020) article in Journal of Open Source Software describing BMI 2.0.
== Citation ==
If you use BMI in your work, please cite:
* Hutton, E.W.H., Piper, M.D., and Tucker, G.E., 2020. The Basic Model Interface 2.0: A standard interface for coupling numerical models in the geosciences. Journal of Open Source Software, 5(51), 2317, https://doi.org/10.21105/joss.02317.
* Peckham, S.D., Hutton, E.W., and Norris, B., 2013. A component-based approach to integrated modeling in the geosciences: The design of CSDMS. Computers & Geosciences, 53, pp.3-12, http://dx.doi.org/10.1016/j.cageo.2012.04.002.
Babelizer

325 px | right 
The Babelizer is an open source Python utility for wrapping models that expose a BMI so they can be imported as Python packages.
Within Python, these models, regardless of their core language, appear as Python classes that have BMI methods. Users are then able to run models interactively through the Python command line or Jupyter Notebook, and programmatically through Python scripts; they can also use Python-based BMI tools such as the bmi-tester, PyMT, and Landlab.
Supported languages include:
* C
* C++
* Fortran
* Python
The Babelizer is an element of the CSDMS Workbench, an integrated system of software tools, technologies, and standards for building and coupling models.
== Links ==
* The latest Babelizer documentation. (Last updated March 2022)
* The Babelizer repository on GitHub: Go here to contribute to Babelizer, ask a Babelizer-related question, or submit an issue.
* A comprehensive example of wrapping a model written in C that exposes a BMI with the Babelizer, then running it in Python through PyMT.
Bangladesh field school

Field School in Bangladesh
Interaction of Sedimentation and Tectonics in the Ganges­‐Brahmaputra River Delta, February 21 - March 7, 2014
 As part of a multidisciplinary international project coordinated by the Lamont Doherty Earth Observatory of Columbia University, a field school is offered on the sedimentary and tectonic processes, and their interaction in the geologically dynamic Ganges-Brahmaputra River Delta. The worldʼs largest delta is being accreted on to the Burma subduction system and overthrust by the Shillong Massif, leading to complex interplay of fluvial and tectonic processes. As part of the field school, alternating lectures, training, and field excursions will be led by US and Bangladeshi project scientists. Topics will rang from river dynamics such as channel island migration and avulsions, and tectonics, such as active folding of the deltaic sediments in the subduction-accretion system and the blind overthrust of the Shillong basement-cored anticline. The school will also focus on their interaction, such as the influence of tectonics on avulsion rates and control of thrusting by the upward coarsening delta strata. The lectures will review foundations and basic techniques and discuss research activities and results of the BanglaPIRE project (http://BanglaPIRE.org). Field sites range from the mobile sand islands of the Brahmaputra River to the folds of the onshore Burma Arc accretionary prism. The school will offer an opportunity for students to participate in a “live” multidisciplinary, international research program. The research project and summer school are funded by the Partnerships for International Research and Education (PIRE) program of the US National Science Foundation. The school will be an advanced study program aimed at graduate students (doctoral level) and post-doctoral fellows. The school will cover lodging, meals, and field trip costs for all participants. Funds to travel to Bangladesh will be available for participants from US universities, with limited funds for other students. Because of logistic constraints, the number of students is limited to about 30, half US and half local. Priority will be given to applicants with an interest in multidisciplinary research spanning sedimentary and tectonic environments. 
For more information and to apply: http://www.BanglaPIRE.org/education
Review of applications will begin December 1, 2013, with December 20 as the cutoff date for receipt of applications.
Build and deploy a WMT client

== Build and deploy a WMT client ==
This is how, when developing, I build and deploy a WMT client.
On solaria, my development machine:
# cd ~/projects/wmt-client
# ant build
# rsync -az war mapi8461@diluvium:~
On diluvium, the deployment machine:
# cd
# cp config.json war/
# wmt_load -t
Repeat N times.
CMI Description

= CSDMS Component Model Interface (version 1.0) =
:
* Any model that provides the Basic Model Interface (BMI) functions can be easily converted to a CSDMS plug-and-play component that has a CSDMS Component Model Interface or CMI. This conversion/wrapping process is done by CSDMS staff. The BMI functions are called by the CMI, by the framework and by service components. It is not necessary for a developer to learn anything about the CMI unless they're just curious. This page is for those curious people.
:
* There is really only one CMI wrapper for each of the programming languages supported by CSDMS (C, C++, Fortran (all years), Java and Python). It can be thought of as a "harness" that "slips onto" a BMI-enabled model.
:
* By design, the BMI functions are noninvasive. A BMI-compliant model does not make any calls to CSDMS components or tools and is not modified to use CSDMS data structures. BMI therefore introduces no dependencies into a model and the model can still be used in a "stand-alone" manner.
:
* The relationship between BMI and CMI is illustrated by the following diagram.
:
* The CMI-wrapper makes function calls to a model's BMI functions as well as to Service Components and the CSDMS Framework (which complies with the CCA standard for frameworks). Based on the information that it gets from the Model Information Functions, it can determine whether it needs to call Service Components to adjust for differences between a given model component and other model components that it needs to get data from or pass data to. The Service Components can adjust for differences in (1) the type of computational grid (regridding), (2) the time-stepping scheme, (3) variable names and (4) variable units. The CMI wrapper also uses Service Components to write model output in a standardized way to NetCDF files.
:
* CSDMS staff compile the CMI-wrapped model as a dynamically linkable library with a language interoperability tool called Babel so that it can interoperate with (i.e. make CMI function calls to) components that may have been written in a different (possibly quite different!) programming language. CMI-wrapped models are pre-compiled units that are selected by users and then dynamically linked at runtime to form composite models. The components that are to be dynamically linked and their settings are specified in a script (a text file with extension ".rc") that is ingested by the Ccaffeine framework. The CSDMS Web Modeling Tool (WMT) lets users drag model components from a palette into an arena to build a composite model. It also provides a simple tabbed-dialog GUI for each model component that can be used to change a model's settings. These new "custom-built" models can then be run from within the WMT or launched from a command line on the CSDMS high performance cluster, called "beach.colorado.edu".
:
CMI Example Component Execution

= Component Execution =
== Go ==
=== C ===
=== C++ ===
=== Fortran ===
== Initialize ==
=== C ===
=== C++ ===
=== Fortran ===
== Run ==
=== C ===
=== C++ ===
=== Fortran ===
== Finalize ==
=== C ===
=== C++ ===
=== Fortran ===
CSDMS 2011 annual meeting poster Alan Kasprak

__NOTOC__
<FONT style="FONT-SIZE:10pt" color="#ffffff">Presentation provided during CSDMS annual meeting 2011</font>
=Modeling Gravel Bed River Morphodynamics Using a Step-Length Based Approach=
Alan Kasprak, Utah State University Logan Utah, USA. akasprak@aggiemail.usu.eduJoseph M. Wheaton, Utah State University Logan Utah, United States. joe.wheaton@usu.edu
Abstract:
Understanding gravel bed river morphology over decadal to centennial timescales is vital to making informed stream management and restoration decisions. Factors such as land use change and climate shifts over such timescales may drastically alter river evolution – with major implications for in-channel and riparian habitat. Given these longer timescales of influence, field-based studies may be unable to fully capture such morphologic shifts. Scenario-based morphodynamic modeling is emerging as a means of quantifying gravel bed river evolution, yet current models are unable to predict changes in stream morphology over the timescales in question and with adequate spatial resolution, a problem due largely to the computational overhead they require. Since the computational overhead required to drive sediment transport has hindered previous modeling efforts, field-based research suggests a potential improvement, in that sediment is often mobilized downstream with characteristic step-lengths. Here we introduce a morphodynamic model which drives sediment transport using a step-length based approach. Such a technique negates the need for frequent recalculation of sediment dynamics in the flow, and correspondingly reduces computational overhead. Upon application of this model to the River Feshie (UK), we observe that it accurately reproduces many bed morphologies observed during annual high-resolution topographic surveys. By employing step-length based sediment transport distributions, the formation and preservation of bed morphologies can be accurately predicted with less computational overhead than was available in previous morphodynamic models. Using this new model, a better understanding of gravel-bed river morphodynamics over longer-term timescales (decades to centuries) may aid in the management of gravel bed streams under shifting discharge and sediment regimes. 
* Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.
CSDMS 2011 annual meeting poster Alex Burpee

__NOTOC__
<FONT style="FONT-SIZE:10pt" color="#ffffff">Presentation provided during CSDMS annual meeting 2011</font>
=Relationships between sediment caliber and delta shoreline geometry and stratigraphy=
Alex Burpee, Geosciences, Pennsylvania State University, State College University Park Pennsylvania, USA. apb5160@psu.eduRudy Slingerland, Penn State University University Park Pennsylvania, USA. sling@psu.edu
Abstract:
Recent morphodynamic modeling of non-uniform turbulent transport and deposition of sediment in a standing body of water devoid of tides and waves shows that sediment caliber plays a major role in determining the shapes, cumulative number of distributaries, and wetland areas of river-dominated deltas. In this study we introduce metrics for quantifying delta shoreline rugosity and foreset dip (clinoform) variability, and explore their variation with sediment caliber. Delta shoreline rugosity is calculated using the isoperimetric quotient, IP = 4 pi A / P2, where a circle has a value of one. Clinoform complexity is calculated using the uniformity test in circular statistics wherein clinoform dip direction uniformity is the sum of the deviations of dip azimuths from a theoretical uniform distribution. Analysis of fifteen simulated deltas shows that IP increases from 0.1 to 0.5 as the normalized shear stress for re-erosion of cohesive sediment, τn, increases from 0.65 to 1. Clinoform dip azimuth uniformity decreases from 300 to 130 with increasing τn. Preliminary analysis of data from outcrops of the Cretaceous Ferron Delta and ground penetrating radar data of the Pleistocene Weber and Brigham City Deltas are consistent with these trends. These results imply that changes in sediment caliber delivered to a deltaic coastal system will profoundly change its wetland area, bathymetric hypsometry, ecological function, and interior stratigraphy. 
* Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.
CSDMS 2011 annual meeting poster Alfredo Aretxabaleta

__NOTOC__
<FONT style="FONT-SIZE:10pt" color="#ffffff">Presentation provided during CSDMS annual meeting 2011</font>
=Stratigraphic Modeling in ROMS=
Chris Sherwood, US Geological Survey Woods Hole Massachusetts, USA. csherwood@usgs.govAlfredo Aretxabaleta, US Geological Survey Woods Hole Massachusetts, USA. aaretxabaleta@usgs.gov
Abstract:
The stratigraphic record is the product of sedimentary processes acting over time. The Regional Ocean Modeling System (ROMS) includes algorithms for the processes of erosion, deposition, and mixing of both non-cohesive (sandy) and cohesive (muddy) sediment, and routines capable of tracking the evolution of event-scale stratigraphy with layers as fine as a few grain diameters thick. Thus ROMS allows users to relate process with product over time scales ranging from a few seconds to years, over vertical space scales of 0.1 mm to meters, and over horizontal space scales of meters to hundreds of kilometers. ROMS requires users to specify the number of bed layers to be tracked at compile time. This improves model efficiency on parallel systems, but complicates the task of tracking stratigraphic evolution. In addition to the number of layers, users can control the minimum and maximum layer thickness and the initial stratigraphy. The effect of these choices and the success of the stratigraphy routines is demonstrated with models of idealized estuaries, deltas, and continental shelves. 
* Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.
CSDMS 2011 annual meeting poster Andrew Ashton

__NOTOC__
<FONT style="FONT-SIZE:10pt" color="#ffffff">Presentation provided during CSDMS annual meeting 2011</font>
=Characteristic Timescales of Shoreface Response to Sea-Level Rise=
Andrew Ashton, Woods Hole Oceanographic Institution Woods Hole Massachusetts, United States. aashton@whoi.eduAlejandra Ortiz, WHOI Woods Hole Massachusetts, United States.Phil Lane, WHOI Woods Hole Massachusetts, United States.Jeffrey Donnelly, WHOI Woods Hole , United States.
Abstract:
The response of the wave-dominated coasts to sea-level rise is dominated not by inundation, but rather by the dynamic response of sediment transport processes to perturbations of the sea level. In a regime of sea level change, the predominant response of the wave-dominated shoreface depends upon the time-dependent response of the shoreface itself to changes in sea level as well as the potential changes to the shoreline. Sediment transport processes on the shoreface remain poorly understood, complicating predictions of equilibrium shoreface shapes and even net sediment transport directions. However, presuming an equilibrium geometry, energetics-based, time-averaged relationships for cross-shore sediment transport provide a framework to understand the characteristic rates and types of shoreface response to perturbations to either the sea level or the shoreline boundary. In the case of a sea-level rise, we find that the dominant perturbation for a barrier system is not the sea-level rise itself, but rather the movement of the shoreline by overwash. The characteristic response time of the shoreface itself increases significantly at depth, suggesting that the lower shoreface response to a sea level change can be significantly delayed. To study the interactions between the characteristic timescales of shoreface evolution and barrier overwash, we apply a numerical model of barrier profile evolution that couples shoreface evolution with barrier overwash. This integrated model provides a tool to understand the response of barrier systems to changes in sea level over the late Holocene to the modern. The model also investigates the potential behavior of barrier systems as they (and their human occupants) respond to predicted increased rates of sea-level rise over the coming centuries. 
* Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.
CSDMS 2011 annual meeting poster Arvind Singh

__NOTOC__
<FONT style="FONT-SIZE:10pt" color="#ffffff">Presentation provided during CSDMS annual meeting 2011</font>
=Landscape response to climate change: Insights from an experimental model=
Arvind Singh, University of Minnesota Minneapolis Minnesota, United States. sing0336@umn.eduLiam Reinhardt, University of Exeter Cornwall, UK.Efi Foufoula-Georgiou, University of Minnesota Minneapolis Minnesota, USA.
Abstract:
A series of controlled laboratory experiments were conducted at the St. Anthony Falls laboratory of the University of Minnesota to study the effect of changing precipitation patterns on landscape evolution over long-time scales. High resolution digital elevation (DEM) both in space and time along with instantaneous sediment transport rates were measured over a range of rainfall and uplift rates. These experiments were designed to develop a complete drainage network by growth and propagation of erosional instabilities in response to tectonic uplift. We focus our study to the investigation of how changes in the frequency and magnitude of large-scale rainfall patterns (e.g. monsoonal variability) might influence the development of mountainous landscapes. Preliminary analysis suggests that the statistics of topographic signatures, for example, evolution of drainage network, slopes, curvatures, etc., show dependence on both rainfall patterns and uplift rate. The implications of these results for predictive modeling of landscapes and the resulting sediment transport are discussed.
* Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.