GitHub topics: swat

Repositories

fkie-cad/ipal_datasets

Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.

Language: Python - Size: 5.39 MB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 43 - Forks: 4

ForvatorDMC/telegram-demolisher

Telegram Account Destroyer/Snoser.

Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

innoforker/sendnswat

(2022) Old as hell tool for getting all email addresses from the page and the pages of the page and sending your message to all of these addresses

Language: Python - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alexrigby/LUCST

An interface for managing SWATPlus input and output files to aid in implementing, and visualizing the impact of land use changes on catchment hydrology in the SWATPlus model

Language: JavaScript - Size: 22.6 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 2

NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc). The package assumes that users have already set up a registration account(s) with Earthdata login as well as authorizing NASA GESDISC data access. Please refer to https://disc.gsfc.nasa.gov/data-access for further details. The package relies on 'curl' (https://curl.haxx.se/) commands and library to access and download data from NASA remote sensing servers. Since Mac users have curl as part of macOS, Windows users should make sure that their local machines have 'curl' installed properly. Creating the ".netrc" file at the user machine 'Home' directory and storing the user NASA GESDISC logging information in it is needed to execute the package commands. Instructions on creating the ".netrc" and ".urs_cookies" files can be accessed at https://wiki.earthdata.nasa.gov/display/EL/How+To+Access+Data+With+cURL+And+Wget.

Language: R - Size: 28.8 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 16 - Forks: 2

FreetoolZ/tool

Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

EbatelAxyevatel/Botnet-Telegram-Snoser

RU - Лучший ботнет сносер, на хосте держиться около двух ста аккаунтов телеграмм , которые отправляют жалобу на тот или иной аккаунт , так же канал и чат , на бот , и на канал , даже закрытый. Данный сносер может снести аккаунты за менее чем 3 минуты с долгой отлёгой, так же с носит закрытые телеграмм каналы , но за более длительное время.

Language: Python - Size: 29.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 1

jshernandezs/swat-pytools

A Python wrapper for executing and calibrating the Soil and Water Assessment Tool (SWAT) in Unix/macOS systems.

Language: Python - Size: 19.4 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 15 - Forks: 7

crazyzlj/SWAT

An unofficial SWAT (Soil & Water Assessment Tool) code collection from official historical releases and the scientific community.

Language: Fortran - Size: 5.58 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 61 - Forks: 34

nikczemnydev/BugSquashTheGame

HTML, CSS, Vanilla JavaScript - BugSquashTheGame - my new product is a fun and interactive game that challenges your reflexes and hand-eye coordination. The game is perfect for those who are interested in learning how to code web applications.

Language: JavaScript - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

lm-costa/swat_ex

Language: R - Size: 4.23 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

souaddev/Dynamic-time-warping-based-anomaly-detection-for-industrial-control-system

An approach for anomaly detection in Industrial Control Systems (ICS), using Water Treatment Dataset (SWaT). The implementation incorporates cutting-edge machine learning techniques, including Isolation Forest and Autoencoder models, augmented by Dynamic Time Warping (DTW) algorithm.

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

souaddev/OST_Anomaly_Detection

Comparative Analysis of Unsupervised Learning Methods for Real-time Anomaly Detection in Industrial Control Systems (ICS)

Language: Jupyter Notebook - Size: 22.4 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

VUB-HYDR/QSWAT_Automated_Workflow

The automated workflow for setting up SWAT Models presented in Chawanda et al., 2019 EMS

Language: Python - Size: 79.2 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 25 - Forks: 8

drkupi/Can-GLWS

Canadian Great Lakes Weather Data Service for SWAT (Can-GLWS)

Language: R - Size: 4.26 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

VUB-HYDR/2019_Chawanda_etal_EMS

Scripts used to process data and namelist used in Chawanda et al. (2019)

Language: Python - Size: 464 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3

marjenahaque/nasatmp

A simple script to show how to download temperature data of different locations of an area from NASA POWER for SWAT module.

Language: Python - Size: 24.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DHI-GRAS/qgis-processing-swat

QGIS Processing provider for SWAT based hydrological modelling

Language: Python - Size: 270 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 15 - Forks: 7

biopsichas/svatools

SWAT+ model input data preparation helper

Language: R - Size: 74.7 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

celray/swatplus-automatic-workflow

This software uses a config file (config.py), which is a settings file, to build and run SWAT+ models. Users can share the config along with their published works to promote transparency as all model options are well documented in the file. Sharing the namelist and data also allows others to reproduce the models from scratch.

Language: Python - Size: 40.7 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 11 - Forks: 5