659825a
 .
 FST4 and FST4W are designed particularly for the LF and MF bands. On these
 bands their fundamental sensitivities are better than other WSJT-X modes with
 the same sequence lengths, approaching the theoretical limits for their rates
 of information throughput. FST4 is optimized for two-way QSOs, while FST4W is
 for quasi-beacon transmissions of WSPR-style messages. FST4 and FST4W do not
 require the strict, independent time synchronization and phase locking of
 modes like EbNaut.
.
659822,659823c
 FT4 and FT8 are operationally similar but use T/R cycles only 7.5 and  15 s
 long, respectively.  MSK144 is designed for Meteor Scatter on the VHF bands.
.
659805,659820c
 WSJT-X implements amateur radio communication protocols or "modes" called
 FST4, FST4W, FT4, FT8, JT4, JT9, JT65, Q65, MSK144, and WSPR, as well as one
 called Echo for detecting and measuring your own radio signals reflected from
 the Moon.  These modes were all designed for making reliable, confirmed QSOs
 under extreme weak-signal conditions.
 .
 JT4, JT9, and JT65 use nearly identical message structure and source encoding
 (the efficient compression of standard messages used for minimal QSOs). They
 use timed 60-second T/R sequences synchronized with UTC.  JT4 and JT65 were
 designed for EME ("moonbounce") on the VHF/UHF/microwave bands.  JT9 is
 optimized for the MF, and HF bands.  It  is about 2 dB more sensitive than
 JT65 while using less than 10% of the bandwidth.  Q65 offers submodes with a
 wide range of T/R sequence lengths and tone spacings.
.
659803c
Description-md5: c1c0f02ccd1a9ef74ca17cbb509b9f2b
.
653881,653891d
649140,649370d
633126a

Package: trinityrnaseq
Description-md5: 2ee7f38dbb99a040c33d6619f4f5668b
Description-en: RNA-Seq De novo Assembly
 Trinity represents a novel method for the efficient and robust de novo
 reconstruction of transcriptomes from RNA-seq data. Trinity combines three
 independent software modules: Inchworm, Chrysalis, and Butterfly, applied
 sequentially to process large volumes of RNA-seq reads. Trinity partitions
 the sequence data into many individual de Bruijn graphs, each representing the
 transcriptional complexity at a given gene or locus, and then processes
 each graph independently to extract full-length splicing isoforms and to tease
 apart transcripts derived from paralogous genes.

Package: trinityrnaseq-examples
Description-md5: ed2dc144f88f410c79f957673eea79fb
Description-en: RNA-Seq De novo Assembly common example and testing files
 Trinity represents a novel method for the efficient and robust de novo
 reconstruction of transcriptomes from RNA-seq data. Trinity combines three
 independent software modules: Inchworm, Chrysalis, and Butterfly, applied
 sequentially to process large volumes of RNA-seq reads. Trinity partitions
 the sequence data into many individual de Bruijn graphs, each representing the
 transcriptional complexity at a given gene or locus, and then processes
 each graph independently to extract full-length splicing isoforms and to tease
 apart transcripts derived from paralogous genes.
 .
 This package contains testing & example files.
.
609986,610027d
539004a
Package: r-cran-spatstat.linnet
Description-md5: 831bc121084fd9b4ab0f388368f24072
Description-en: linear networks functionality of the 'spatstat' family of GNU R
 Defines types of spatial data on a linear network and provides
 functionality for geometrical operations, data analysis and modelling
 of data on a linear network, in the 'spatstat' family of packages.
 Contains definitions and support for linear networks, including
 creation of networks, geometrical measurements, topological
 connectivity, geometrical operations such as inserting and deleting
 vertices, intersecting a network with another object, and interactive
 editing of networks. Data types defined on a network include point
 patterns, pixel images, functions, and tessellations. Exploratory
 methods include kernel estimation of intensity on a network, K-
 functions and pair correlation functions on a network, simulation
 envelopes, nearest neighbour distance and empty space distance,
 relative risk estimation with cross-validated bandwidth selection.
 Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-
 Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-
 stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-
 Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric
 models can be fitted to point pattern data using the function lppm()
 similar to glm(). Only Poisson models are implemented so far. Models
 may involve dependence on covariates and dependence on marks. Models
 are fitted by maximum likelihood. Fitted point process models can be
 simulated, automatically. Formal hypothesis tests of a fitted model are
 supported (likelihood ratio test, analysis of deviance, Monte Carlo
 tests) along with basic tools for model selection (stepwise(), AIC())
 and variable selection (sdr). Tools for validating the fitted model
 include simulation envelopes, residuals, residual plots and Q-Q plots,
 leverage and influence diagnostics, partial residuals, and added
 variable plots. Random point patterns on a network can be generated
 using a variety of models.

.
538990a
Package: r-cran-spatstat.core
Description-md5: 00fa9d56f038078f1e6c651f03e7605f
Description-en: core functionality of the 'spatstat' family of GNU R packages
 Functionality for data analysis and modelling of spatial data, mainly
 spatial point patterns, in the 'spatstat' family of packages. (Excludes
 analysis of spatial data on a linear network, which is covered by the
 separate package 'spatstat.linnet'.) Exploratory methods include quadrat
 counts, K-functions and their simulation envelopes, nearest neighbour
 distance and empty space statistics, Fry plots, pair correlation
 function, kernel smoothed intensity, relative risk estimation with cross-
 validated bandwidth selection, mark correlation functions, segregation
 indices, mark dependence diagnostics, and kernel estimates of covariate
 effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-
 Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-
 stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-
 Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models
 can be fitted to point pattern data using the functions ppm(), kppm(),
 slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs
 and Cox point processes, Neyman-Scott cluster processes, and
 determinantal point processes. Models may involve dependence on
 covariates, inter-point interaction, cluster formation and dependence on
 marks. Models are fitted by maximum likelihood, logistic regression,
 minimum contrast, and composite likelihood methods. A model can be
 fitted to a list of point patterns (replicated point pattern data) using
 the function mppm(). The model can include random effects and fixed
 effects depending on the experimental design, in addition to all the
 features listed above. Fitted point process models can be simulated,
 automatically. Formal hypothesis tests of a fitted model are supported
 (likelihood ratio test, analysis of deviance, Monte Carlo tests) along
 with basic tools for model selection (stepwise(), AIC()) and variable
 selection (sdr). Tools for validating the fitted model include
 simulation envelopes, residuals, residual plots and Q-Q plots, leverage
 and influence diagnostics, partial residuals, and added variable plots.

.
530336a
Package: r-bioc-dropletutils
Description-md5: 5929892eb4b63e00f4a06a3db334d42f
Description-en: BioConductor utilities for handling single-cell droplet data
 Provides a number of utility functions for handling single-cell
 (RNA-seq) data from droplet technologies such as 10X Genomics. This
 includes data loading from count matrices or molecule information files,
 identification of cells from empty droplets, removal of barcode-swapped
 pseudo-cells, and downsampling of the count matrix.

.
529936a
Package: r-bioc-altcdfenvs
Description-md5: b70a5b497f1dbc405b3380137a754fb2
Description-en: BioConductor alternative CDF environments
 This BioConductor module provides alternative CDF environments (aka
 probeset mappings) which are Convenience data structures and functions
 to handle cdfenvs.

.
462384,462395d
462361,462364c
Description-md5: 1d42db30251e328985377b0671902f6f
Description-en: Geometry import
 Plugins for importing pixmaps, fonts and vector graphics.
.
462344,462359d
462268d
462260a
     * specctra .dsn (route result: wires and vias)
     * specctra .ses (route result: wires and vias)
.
462257d
462211c
     * PADS ASCII board
     * gEDA/PCB .pcb board (various version up to 2017)
.
462206c
     * specctra dsn board
.
462201c
     * PADS ASCII board
.
462168c
Description-md5: 284b2c150c0a8f809d3064610f950882
.
462157,462166d
438855a
Package: nxt-firmware
Description-md5: fd2c67e0dd60909662d7c638c9efd811
Description-en: Improved firmware for LEGO Mindstorms NXT bricks
 The NXT Improved Firmware is a community-based open source project
 around the original LEGO Mindstorms firmware for the NXT
 bricks.
 .
 The firmware can be installed on the robot control bricks of type NXT.
 It is almost identical to the original firmware, meaning that
 all existing software working with the original firmware can be expected
 to work with the improved firmware as well.
 .
 The main differences between the original firmware and the improved
 firmware are the addition of absolute position regulation for motors and
 that it can be built with GCC rather than the non-free toolchain used by
 the LEGO Group.
 .
 This package contains the firmware image file, which can be flashed onto
 the brick with various tools, e.g. fwflash from the libnxt package.

.
371633,371645d
348863a
Package: librnd3
Description-md5: 7627e82a581fc208f7a45921d117cef8
Description-en: Ringdove 2D CAD library framework
 librnd is a modular framework library for 2D CAD applications. It
 provides the following built-in features:
   - hierarchic configuration files
   - flexible menu and hotkey system
   - HID API for CLI/GUI frontend
   - multi-layer rendering support
   - interactive drawing tool infrastructure
   - action infrastructure
   - polygon clipping
   - turing complete user scripting
 .
 Supported via plugins:
   - CLI/batch frontend
   - gtk2 frontend with gdk software rendering
   - gtk2 frontend with gl hardware accelerated rendering
   - lesstif/motif frontend

Package: librnd3-cloud
Description-md5: 1b1dc76a4130870349bb3f2a5dc5c69c
Description-en: Networking plugins for accessing remote resources.
 Support library plugin for 'cloud' footprint/symbol access plugin
 that integrates remote, web access resources like edakrill or
 gedasymbols.org.

Package: librnd3-dev
Description-md5: 6cde86465e50707d4ee5becbdcc6db34
Description-en: Ringdove 2D cad library, files for development.
 Headers, templates, scripts for compiling Ringdove appliactions.

Package: librnd3-doc
Description-md5: 31a6baa719dfc3291793250a38cbc7b0
Description-en: Documentation for librnd.
 Developer documentation for using librnd.

Package: librnd3-hid-gtk2-gdk
Description-md5: 65f58e7335678282bf61eaf0378578ea
Description-en: GUI: gtk2, software render
 Software rendering on gtk2, using the gdk API.

Package: librnd3-hid-gtk2-gl
Description-md5: 5794d4e95dc672886a83ca77263b170a
Description-en: GUI: gtk2, opengl
 Hardware accelerated (opengl) rendering on gtk2.

Package: librnd3-hid-lesstif
Description-md5: 0e9f185dd5b1da152683803323f1b183
Description-en: GUI: motif/lesstif, software render
 Lightweight GUI and software rendering using the motif (lesstif)
 toolkit.

Package: librnd3-lib-gl
Description-md5: ae1b13b8549fb75351fa1adb8e1ef270
Description-en: Support library for rendering with opengl.
 Provides plugins for driving an opengl output, rendering the drawing
 on opengl.

Package: librnd3-lib-gtk
Description-md5: ce186e0f6206653947906216f772a72d
Description-en: Support library for building the GUI with gtk.
 Provides the common gtk code (e.g. dialog box engine, input handling)
 for any gtk based HID plugin.

Package: librnd3-lib-gui
Description-md5: fcb7ce8f437a360c8db695a0cabc7f2d
Description-en: Support library for building the GUI.
 Provides librnd specific dialog boxes (e.g. fontsel) and top window
 GUI elements.

.
290906,290919d
248176a
 fsnotifywait and fsnotifywatch are similar to inotifywait and inotifywatch,
 but they are using Linux's fanotify(7) interface by default. The fanotify API
 also provides notification and interception of filesystem events. Additional
 capabilities compared to the inotify(7) API include the ability to monitor
 all of the objects in a mounted filesystem, the ability to make access
 permission decisions, and the possibility to read or modify files before
 access by other applications.
 .
.
248168,248169c
 filesystem events. inotify-tools consists of four utilities: inotifywait,
 inotifywatch, fsnotifywait and fsnotifywatch.
.
248157c
Description-md5: e618c4a03d6d9bd64a85dac1a2e53ff3
.
241851,241889d
229505,229546d
211826,211850d
210651,210725d
210030,210054d
209930,209979d
209755,209854d
198061c
 This is a simple dependency package which depends on the serial or
 MPI build of h5py and provides test data files.
.
198041c
Description-md5: babe5999c3c9449de8bcbd876b20685d
.
198016a
Package: hdf5-plugin-lzf
Description-md5: e97187efff273df88e1d567ee845aba6
Description-en: hdf5 plugin to lzf compression library
 HDF5 (Hierarchical Data Format library, version 5) is a versatile,
 mature scientific software library designed for the fast, flexible
 storage of enormous amounts of data.
 .
 This package provides a plugin to the HDF5 LZF filter for the LZF
 compression library. Plugins are built for both serial (single
 processor) jobs (libhdf5-dev) and for multiprocessor (threaded) jobs
 (libhdf5-mpi-dev).

.
158398,158530d
75655a
Package: python-django-model-utils-doc
Description-md5: d7419400bbfdbb7feeddfb365eec47bd
Description-en: Django model mixins and utilities — Documentation
 Django is a high-level web application framework that loosely follows
 the model-view-controller design pattern.
 .
 The ‘django-model-utils’ library provides some mixins and utilities
 for Django:
 .
  * QueryManager: one-line definition of Managers returning a
    custom QuerySet.
  * InheritanceCastModel: more efficient use of model inheritance
  * TimeStampedModel: self-updating ‘created’ and ‘modified’ fields.
 .
 This package installs the documentation for the library.

.
36492a
Package: calamares-settings-debian
Description-md5: 1a67e0bdf77e1b45aa33e4c9ae9359a6
Description-en: Debian theme and settings for the Calamares Installer
 Calamares is a generic installer framework for Linux distributions.
 By default, it contains a set of boilerplate wording and images. This
 package provides the latest Debian artwork as well as scripts that
 supports EFI installations.
 .
 It also serves as an example for how derivatives can create their own
 calamares-settings packages.

.
