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Found 86 dataset(s) matching "python packaging".
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SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts,...
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These tabular data sets represent daily climate metrics processed from 4 kilometer GridMET data (Abatzoglou, 2013) for the period of record 1980 through 2020 and compiled for three spatial...
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These tabular data sets represent daily climate metrics processed from 4 kilometer snow water equivalent (SWE) raster data in millimeters (Broxton and others, 2019) for the period of record...
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This Python software package provides functionality for inference of the initial state of a Hidden Markov Model (HMM), when we have access to permutations of the underlying states. We provide both...
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<p dir="ltr">The ribosomal RNA (rRNA) internal transcribed spacer (ITS) regions are commonly used to identify fungi and other eukaryotic taxa in amplicon sequencing. The highly conserved rRNA...
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This tabular data set contains information on historic and projected land-use/land-cover, compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for select regions...
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Read-across (RAX) is a widely used data gap filling approach and the authors have developed a data-driven tool, called GenRA, to support expert-driven RAX. This work describes a stand-alone Python...
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<p>Leaves from genetically unique <em>Juglans regia</em> plants were scanned using X-ray micro-computed tomography (microCT) on the X-ray μCT beamline (8.3.2) at the Advanced Light Source (ALS)...
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This research software package contains Python code to execute experiments on deep generative modeling of classical random process models for noise time series. Specifically, it includes Pytorch...
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Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production...
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Sim-PROCESD is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production...
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This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology'...
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The main goal of `pyproject2conda` is to provide a means to keep all basicdependency information, for both `pip` based and `conda` based environments, in`pyproject.toml`. I often use a mix of pip...
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Version 2 of MHKDR submission #475, which also contains the metadata for these measurements. Files here are stored in netCDF4 format, which can be read in Python using the "netcdf4" or "xarray"...
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This dataset contains taxonomy, density (cells/mL), and biovolume (μm3/mL) data for phytoplankton sampled across the Sacramento San Joaquin River Delta and San Francisco Bay (Bay-Delta) beginning...
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Hydrology Graphs This repository contains the code for the manuscript "A Graph Formulation for Tracing Hydrological Pollutant Transport in Surface Waters." There are three main folders containing...
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This USGS data release contains landscape variables representing anthropogenic disturbances to stream habitats and natural variables summarized within local and network stream catchments of the...
