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8,411 to 8,420 of 11,133 Results

setup.R Feb 23, 2023 - Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS) R Syntax - 2.3 KB - MD5: c9af120dbbf4f9de433bdd14ae724e62 Code to attach necessary libraries, create sub-directories under the working directory, set paths, specify vectors
TOC.R Feb 23, 2023 - Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS) R Syntax - 50.6 KB - MD5: 3592c54fc28bd9dde5cca00eec0b27c2 Code for the test-of-concept model "TOC" and plotting
WF_meta.txt Feb 23, 2023 - Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS) Plain Text - 80.1 KB - MD5: 93fe9e93cd3277a9dbcf70257225bbe0 Metadata for rodent individuals trapped in West-Finnmark. Not directly used in analysis, but to show the variablity in environmental conditions and individual traits.
WF_spectra.txt Feb 23, 2023 - Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS) Plain Text - 48.5 MB - MD5: ec4ce20ad458668d1c17a677caedd00c NIR-spectra and taxonomic information of rodent individuals from West-Finnmark trapping.
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets" May 31, 2017 Holsbø, Einar, 2017, "Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"", https://doi.org/10.18710/FGVLKS, DataverseNO, V1, UNF:6:SEfvjgycJrjkrvJEtM0zxA== [fileUNF] This dataset is example data from the Norwegian Women and Cancer study. It is supporting information to our article "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets." (In submission) The bulk of the data comes from measu...
control_data.tab May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets" Tabular Data - 6.3 MB - 835 Variables, 887 Observations - UNF:6:KSkjULQu1KihFJb3scG97Q== See README.txt
detection.tab May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets" Tabular Data - 294.8 MB - 833 Variables, 47323 Observations - UNF:6:W4QYTCGeeCW+ZoWljmXUhA== See README.txt
experiment.R May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets" R Syntax - 3.1 KB - MD5: cf091166eb35040d9975c0ed835309ed See README.txt
expression_se.tab May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets" Tabular Data - 258.7 MB - 833 Variables, 47323 Observations - UNF:6:QeBoR9mHtQZdv/Wogf3lgA== See README.txt
expression.tab May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets" Tabular Data - 188.8 MB - 833 Variables, 47323 Observations - UNF:6:RSU8+RYh31lcWzi7Z27iNg== See README.txt

setup.R

Feb 23, 2023 - Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS)

R Syntax - 2.3 KB -

Code to attach necessary libraries, create sub-directories under the working directory, set paths, specify vectors

TOC.R

Feb 23, 2023 - Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS)

R Syntax - 50.6 KB -

Code for the test-of-concept model "TOC" and plotting

WF_meta.txt

Feb 23, 2023 - Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS)

Plain Text - 80.1 KB -

Metadata for rodent individuals trapped in West-Finnmark. Not directly used in analysis, but to show the variablity in environmental conditions and individual traits.

WF_spectra.txt

Feb 23, 2023 - Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS)

Plain Text - 48.5 MB -

NIR-spectra and taxonomic information of rodent individuals from West-Finnmark trapping.

Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"

May 31, 2017

Holsbø, Einar, 2017, "Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"", https://doi.org/10.18710/FGVLKS, DataverseNO, V1, UNF:6:SEfvjgycJrjkrvJEtM0zxA== [fileUNF]

This dataset is example data from the Norwegian Women and Cancer study. It is supporting information to our article "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets." (In submission) The bulk of the data comes from measu...

control_data.tab

May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"

Tabular Data - 6.3 MB - 835 Variables, 887 Observations -

See README.txt

detection.tab

May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"

Tabular Data - 294.8 MB - 833 Variables, 47323 Observations -

See README.txt

experiment.R

May 31, 2017 - Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"

R Syntax - 3.1 KB -

See README.txt