631 a 640 de 1.228 Resultados
9 dic 2021 -
QUAM-AFM
Archivo ZIP - 144,0 MB -
MD5: 547df5e75c2021d840d2acb0b73ac719
Set of dictionaries created with the pickle package (Python 3.7) linking each molecule with the IUPAC name and the chemical formula by the CID number in PubChem (https://pubchem.ncbi.nlm.nih.gov/) |
9 dic 2021 -
QUAM-AFM
Archivo ZIP - 145,2 KB -
MD5: 34bfbae7b0e0aab962d4b5de3167778c
Folder with the Python QUAM.py script that allows visualization and search of the AFM simulations using a Graphical User Interface (GUI) |
9 dic 2021 -
QUAM-AFM
Archivo ZIP - 274,1 GB -
MD5: aee5679ab8e29b2da58bdc11affcd5e9
Set of folders (each compressed in .tar.gz format) containing the AFM simulations split according to the simulation parameters (K-1,...,K-24), the ball and stick representations (JMOL_IMAGES), the atomic coordinates (XYZ_FILES), and the height maps (HM). IMPORTANT NOTE!. If main... |
9 dic 2021 -
QUAM-AFM Lite
Archivo Gzip - 673,7 MB -
MD5: d55eb3cbcfc60b8b97b7d30a5eeab139
QUAM-AFM Lite contains simulated AFM images for 1755 molecules. These images are located in the QUAM folder. The GUI folder contains a Graphical User Interface (GUI) that allows visualization and search of the data in QUAM, using the Python pickle module dictionaries in the DICTI... |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 20,2 GB -
MD5: 25f14da7080c2ee1b84713300d286c46
This file contains all the BERT models and dependencies evaluated in HESML V2R1 as detailed in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/BERTExperiments.tar.gz |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo ZIP - 42,8 GB -
MD5: 6c8d651f74559f16cac879722b46bff8
This file contains the BioC XML files in unicode format from PMC Corpus The dataset has been downloaded from 1 on 5 June, 2019. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/BioCManuscriptCorpus.zip |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 19,4 GB -
MD5: a27819702fb003f346d7ec541533a480
This file contains all the character and sentence pretrained models evaluated in HESML V2R1 as detailed in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/CharacterAndSentenceEmbeddings.tar.gz |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo ZIP - 100,9 GB -
MD5: 079326772685a95c86e0ed003137bd42
IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/PreprocessedBioCCorpus.zip |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 39,0 GB -
MD5: 6ccf1d8b29b824cafd36ac1d3a238d1b
This file contains the Word Embedding pretrained models detailed in HESML V2R1 [1] and our pretrained model based on Fastext [3] in the BioC PMC Corpus [4].
Our pretrained model has been trained on Fastext skipgram model using the parameters from [1] in the BioC PMC Corpus [4].... |
Archivo Gzip - 2,4 MB -
MD5: 9b1f122353d3772e26f90e88b0920747
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