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Data from: Modelling misclassification in multi-species acoustic data when estimating occupancy and relative activity
负责人:
关键词:
Acoustic data;bats;False positives;imperfect detection;misidentification;occupancy models? passive acoustic monitoring;species classification
DOI:
doi:10.5061/dryad.q83bk3jdg
摘要:
to classify each recorded call to a species. Species classification errors are possible during this process and result in both false negative and false positi
Additional file 15: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species
负责人:
关键词:
Medicine Genetics Molecular Biology 69999 Biological Sciences not elsewhere classified Developmental Biology Inorganic Chemistry 110309 Infectious Diseases 60506 Virology
DOI:
doi:10.6084/m9.figshare.7103423
摘要:
Tissue-specific Indices of Cattle LncRNAs. The calculated tissue-specific indices (TSI) for each lncRNA in each tissue. The \u201CTSI A\u201D
Additional file 16: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species
负责人:
关键词:
Medicine Genetics Molecular Biology 69999 Biological Sciences not elsewhere classified Developmental Biology Inorganic Chemistry 110309 Infectious Diseases 60506 Virology
DOI:
doi:10.6084/m9.figshare.7103429
摘要:
h replicates. F1 is calculated as (2 * A * B) / (A\u2009+\u2009B) where A is TSI A and B is TSI. The \u201CName\u201D and \u201CLocation\u201D columns give
Additional file 16: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species
负责人:
关键词:
Medicine Genetics Molecular Biology 69999 Biological Sciences not elsewhere classified Developmental Biology Inorganic Chemistry 110309 Infectious Diseases 60506 Virology
DOI:
doi:10.6084/m9.figshare.7103429.v1
摘要:
h replicates. F1 is calculated as (2 * A * B) / (A\u2009+\u2009B) where A is TSI A and B is TSI. The \u201CName\u201D and \u201CLocation\u201D columns give
Data from: Clinical and metabolic characteristics among Mexican children with different types of diabetes mellitus
负责人:
关键词:
Obesity;Pancreatic autoimmunity;Types of diabetes mellitus;insulin resistance;pediatric
DOI:
doi:10.5061/dryad.fg65j
摘要:
e not mutually exclusive, and we detailed why FCP levels are not critical for the classification system of DM in children. The findings of this study suggest tha
Data from: Integration of homogeneous structural region identification and rock mass quality classification
负责人:
关键词:
Integration;homogeneous structural region;RMRmbi;rock mass quality classification
DOI:
doi:10.5061/dryad.7nh05k6
摘要:
, visualisation of regional RMRmbi classification results was performed. Results show that: (i) the homogeneous structural regions are finely demarcat
Data from: New molecular tools for the identification of two endangered smooth-hound sharks, Mustelus mustelus and Mustelus punctulatus
负责人:
关键词:
microsatellite loci;Mustelus asterias;smooth-hound sharks;genetic identification;Mitochondrial DNA;ITS2;Conservation genetics and biodiversity;Mustelus punctulatus;Mustelus mustelus
DOI:
doi:10.5061/dryad.39q83
摘要:
fied in the internal transcribed spacer 2 (ITS2) region and a diagnostic test based on its amplification was established. All the samples classified morphologically as M. mustelus
Data from: Lexicon-enhanced sentiment analysis framework using rule-based classification scheme
负责人:
关键词:
document level.;Sentiment analysis;sentiment classification;sentence level;domain specific;modifiers;sentiment detection;emoticon;rule-based
DOI:
doi:10.5061/dryad.p1j71
摘要:
, and presence of domain specific words, as they may result in inaccurate classification of users’ reviews. Lexicon-enhanced sentiment analysis based on Rule-based
Data from: Behavioral classification of low frequency acceleration and temperature data from a free ranging small mammal
负责人:
Studd, Emily
关键词:
DOI:
doi:10.5061/dryad.1s1m8r7
摘要:
ow that high accuracy in behavioral classification is achievable when pairing low frequency acceleration recordings with temperature. 2. We conducted 84

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