AndreaBozzo/ceres-open-data-index huggingface dataset:
MassiveFold data for target T1243

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1231

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1226

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1212

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1210

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1207

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1294v1 and T1294v2

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated in total for both T1294v1 and T1294v2 targets = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1292

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1257

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 2040 predictions were generated for the target = 255 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for targets T1219v1 and T1219v2

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated in total for both T1219v1 and T1219v2 targets = 1005 x 8 sets of parameters. These predictions were computed as a A12 stoichiometry. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target H1265

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 2040 predictions were generated for the target = 255 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target H1258

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 2040 predictions were generated for the target = 255 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/])
MassiveFold data for target T1298 - T309

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/]) - `CAPRI_assessment.csv` file contains the CAPRI assessment for the target (from [https://www.capri-docking.org/assessment/]) - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
MassiveFold data for target T1298 - T309

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/]) - `CAPRI_assessment.csv` file contains the CAPRI assessment of MassiveFold predictions for the target. The `chains` column that gives the chains involved in the interface was filled a posteriori from CAPRI generated files and is provided without any warranty. - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
Températures brutes et îlots de chaleur urbains aux échelles microlocales et atmosphériques, Rennes 2022 - Zone Atelier Armorique ZAAr

[Lien vers la fiche source] Ce jeu de données contient des mesures de températures atmosphériques brutes mesurées à 3m de hauteur (sur 4 sites) et des mesures de températures microlocales brutes mesurées à 5 cm du sol (sur 7 sites) en 2022. Les sites sont localisés sur les communes de Rennes, Melesse, Chantepie et Cesson-Sévigné. Pour plus de détail sur la méthodologie appliquée, consulter le mémoire d'Alice Furet.
MassiveFold data for target H1267 - T300

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/]) - `CAPRI_assessment.csv` file contains the CAPRI assessment for the target (from [https://www.capri-docking.org/assessment/]) - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
MassiveFold data for target H1267 - T300

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/]) - `CAPRI_assessment.csv` file contains the CAPRI assessment of MassiveFold predictions for the target. The `chains` column that gives the chains involved in the interface was filled a posteriori from CAPRI generated files and is provided without any warranty. - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
MassiveFold data for target T1259 - T298

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/]) - `CAPRI_assessment.csv` file contains the CAPRI assessment for the target (from [https://www.capri-docking.org/assessment/]) - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
MassiveFold data for target T1259 - T298

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/]) - `CAPRI_assessment.csv` file contains the CAPRI assessment of MassiveFold predictions for the target. The `chains` column that gives the chains involved in the interface was filled a posteriori from CAPRI generated files and is provided without any warranty. - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
MassiveFold data for target H1245 - T296

[Lien vers la fiche source] MassiveFold data generated for [CASP16], in collaboration with [ CAPRI ]. 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from [https://predictioncenter.org/]) - `CAPRI_assessment.csv` file contains the CAPRI assessment of MassiveFold predictions for the target. The `chains` column that gives the chains involved in the interface was filled a posteriori from CAPRI generated files and is provided without any warranty. - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.