This CODMAC level 3 data set contains the key parameters of the STR Housekeeping (STR A and STR B). In particular, it provides information on the operating mode, # of tracked stars, angular velocity, mean & Std Dev background, star coordinates & magnitudes. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
This repository contains the biophysical attributes used to pretrain METL-Local and METL-Global models. We provide raw Rosetta data as well as processed Rosetta datasets that have duplicates, outliers, and NaN values removed. Users of these datasets should cite both METL and Rosetta. The repository also contains packaged conda environment files needed to generate new Rosetta simulation data in the OSPool with our Jupyter notebook. Raw Rosetta data Raw Rosetta data comes in the form of SQLite databases in the .db format. There are separate databases for each of the local datasets as well as the global dataset. Note the GB1-IgG binding raw data only contains the binding scores, whereas the processed GB1-IgG binding dataset listed below contains both the binding and standard scores. The processed dataset was created by combining the raw GB1-IgG binding data with the raw GB1 standard data. Processed Rosetta datasets Each processed Rosetta dataset has its own directory containing the following: The dataset in three formats (.tsv, .db, and .h5 files), all containing the same data A list of PDB files corresponding to the variants in the dataset (pdb_fns.txt) A splits directory containing train, validation, and test splits we used for pretraining Standardization parameters computed on the train set (in the splits directory) Processed Rosetta datasets can be used directly with the main metl GitHub repository to pretrain models. That repository also contains a small example dataset. Our metl-pub GitHub repository has a mapping from the dataset names to these filenames and instructions for reading the files. conda environment files clean_pdb_2025-02-13.tar.gz and metl-sim_2025-02-13.tar.gz are packaged conda environment files from the metl-sim GitHub repository.
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This repository contains the biophysical attributes used to pretrain METL-Local and METL-Global models. We provide raw Rosetta data as well as processed Rosetta datasets that have duplicates, outliers, and NaN values removed.
Users of these datasets should cite both METL and Rosetta.
Raw Rosetta data comes in the form of SQLite databases in the .db format. There are separate databases for each of the local datasets as well as the global dataset. Note the GB1-IgG binding raw data only contains the binding scores, whereas the processed GB1-IgG binding dataset listed below contains both the binding and standard scores. The processed dataset was created by combining the raw GB1-IgG binding data with the raw GB1 standard data.
Each processed Rosetta dataset has its own directory containing the following:
Processed Rosetta datasets can be used directly with the main metl GitHub repository to pretrain models. That repository also contains a small example dataset.
Our metl-pub GitHub repository has a mapping from the dataset names to these filenames and instructions for reading the files.
This data set contains CODMAC level 3 instrument checkout data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the first cruise phase of the Rosetta mission, which occurred 2004-06-07 to 2004-09-05.
This data set contains images acquired by the OSIRIS Wide Angle Camera during the LUTETIA FLY-BY mission phase
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This data set present engineering data of the COPS and DFMS ROSINA sensors during the S/C Themal Characterization test- Cruise 4-2 phase. Version 2.0 contains significant corrections to the V1.0 data set.
This data set contains images acquired by the OSIRIS Narrow Angle Camera during the EARTH SWING-BY 3 mission phase
This CODMAC level 3 data set contains the key parameters of the TCS. In particular, it provides information on the Thermal Control System data registered for numerous instruments, antennas & subsystems present on the spacecraft external surfaces. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
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This LiDAR data is from the RIEGL VQ-580 Airborne Laser Scanner onboard IcePod while deployed with the ROSETTA-Ice Project during November 2015 - December 2017. This data was processed at Lamont-Doherty Earth Observatory using RIEGL's RiPROCESS Data Processing Software.
LiDAR data was collected along the ROSETTA-Ice Survey Grid where possible. Survey flights with no data are listed in the ReadMe. Clouds have been removed where possible.
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This data set contains images acquired by the OSIRIS Narrow Angle Camera during the CRUISE 4-2 mission phase
This dataset provides information about the number of properties, residents, and average property values for Rosetta Drive cross streets in Negley, OH.
This CODMAC level 3 data set contains the key parameters of the AOCMS. In particular, it provides information on the Attitude & Orbit Control Management System operating modes as well as Wheel offloading data. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
This data set present engineering data of the three ROSINA sensors during the commissioning phases
Mathematical models have become increasingly popular in both research and management problems involving flow and transport processes in the subsurface. The unsaturated hydraulic functions are key input data in numerical models of vadose zone processes. These functions may be either measured directly or estimated indirectly through prediction from more easily measured data based using quasi-empirical models. Rosetta V1.0 is a Windows 95/98 program to estimate unsaturated hydraulic properties from surrogate soil data such as soil texture data and bulk density. Models of this type are called pedotransfer functions (PTFs) since they translate basic soil data into hydraulic properties. Rosetta can be used to estimate the following properties: Water retention parameters according to van Genuchten (1980) Saturated hydraulic conductivity Unsaturated hydraulic conductivity parameters according to van Genuchten (1980) and Mualem (1976) Detailed description of the hydraulic functions Rosetta offers five PTFs that allow prediction of the hydraulic properties with limited or more extended sets of input data. This hierarchical approach is of a great practical value because it permits optimal use of available input data. The models use the following hierarchical sequence of input data Soil textural class Sand, silt and clay percentages Sand, silt and clay percentages and bulk density Sand, silt and clay percentages, bulk density and a water retention point at 330 cm (33 kPa). Sand, silt and clay percentages, bulk density and water retention points at 330 and 15000 cm (33 and 1500 kPa) The first model is based on a lookup table that provides class average hydraulic parameters for each USDA soil textural class. The other four models are based on neural network analyses and provide more accurate predictions when more input variables are used. In addition to the hierarchical approach, we also offer a model that allows prediction of the unsaturated hydraulic conductivity parameters from fitted van Genuchten (1980) retention parameters (Schaap and Leij, 1999). This model is also used in the hierarchical approach such that it automatically uses the predicted retention parameters as input, instead of measured (fitted) retention parameters. All estimated hydraulic parameters are accompanied by uncertainty estimates that permit an assessment of the reliability of Rosetta's predictions. These uncertainty estimates were generated by combining the neural networks with the bootstrap method (see Schaap and Leij (1998) and Schaap et al. (1999) for more information). Resources in this dataset:Resource Title: ROSETTA download page. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=141&modecode=20-36-15-00
This data set contains raw EDR images acquired by the OSIRIS Narrow Angle Camera during the prelanding phase of the Rosetta mission at the comet 67P, covering the period from 2014-06-04 to 2014-06-18.
This data set contains CODMAC level 3 instrument checkout data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the first earth swing-by phase of the Rosetta mission, which occurred 2004-10-17 to 2005-04-04.
2010-07-30 SBN:T.Barnes Updated and DATA_SET_DESCThis dataset contains EDITED RAW DATA of the CRUISE 2 phase (CR2). (Version 3.0 is the first version archived.)
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This dataset contains CALIBRATED DATA of the MARS Flyby (MSB). Included are the data of the very Flyby from February 23 until February 27,2007 and the data of the Passive Checkouts PC3 (August 29, 2006), PC4 (November 23 - December 21,2006) and PC5 (May 22, 2007)
This data set present engineering data of the COPS, DFMS and RTOF ROSINA sensors during the active checkout 12, the Lander panel test and Lutetia rehearsal test - Cruise 5 phase. Version 2.0 contains significant corrections to the V1.0 data set.
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This data set contains CODMAC level 3 calibration, and instrument checkout data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the second commissioning phase of the Rosetta mission
This CODMAC level 3 data set contains the key parameters of the STR Housekeeping (STR A and STR B). In particular, it provides information on the operating mode, # of tracked stars, angular velocity, mean & Std Dev background, star coordinates & magnitudes. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.