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6,101 to 6,110 of 11,138 Results
Adobe PDF - 49.5 KB - MD5: 0602b6f28ef1f7996db1de11bdb3f597
Data
Tabular Data - 1.1 KB - 8 Variables, 9 Observations - UNF:6:0fO9bBLPDXjRf8/WtGVGkA==
Data
Original data excel-file
Plain Text - 1.7 KB - MD5: 68c15eeb4dbd24559507a800bf58c526
Data
Sep 29, 2020
Bråthen, Kari Anne; Ancin-Murguzur, Francisco Javier, 2019, "Replication Data for: Determination of plant silicon content with near infrared reflectance spectroscopy", https://doi.org/10.18710/4PZFHQ, DataverseNO, V2, UNF:6:PvRUDKMp2Uh3Ynd+ef3knw== [fileUNF]
Silicon (Si) is one of the most common elements in the earth bedrock, and its continental cycle is strongly biologically controlled. Yet, research on the biogeochemical cycle of Si in ecosystems is hampered by the time and cost associated with the currently used chemical analysis...
Plain Text - 7.7 KB - MD5: 789981d31f24cda582e7c390b92d4e34
README file
R Syntax - 1.8 KB - MD5: 1fc93c6725844273a7015fae0eca6211
Script to process the spectral data and obtain a partial least squares model to prdict Si in plants
Plain Text - 16.6 MB - MD5: 50db9c8d22d0c708ed157bb806b0e570
Spectral data obtained from scanning plant samples with a FieldSpec3 spectrometer
Oct 21, 2022
Descôteaux, Raphaëlle; Huserbråten, Mats; Jørgensen, Lis Lindal; Renaud, Paul E.; Ingvaldsen, Randi B.; Ershova, Elizaveta A.; Bluhm, Bodil A., 2022, "Replication Data for: Origin of marine invertebrate larvae on an Arctic inflow shelf", https://doi.org/10.18710/DVYBTY, DataverseNO, V1
Date of data collection: 2017-09-02 to 2018-08-11 Geographic location of data collection: North of Svalbard (around 80 deg. N, 12.5 deg. E), as well as Barents Sea north (around 77.3 deg N, 28.5 deg. E) and south (around 75.5 deg. N, 30.0 deg. E) of Polar Front.
Plain Text - 16.1 KB - MD5: fd38dceb4d9b0ad9e3233c53a1b3d98c
Read me file describing each file included in the dataset with metadata.
Comma Separated Values - 537 B - MD5: d764e77b37acded85ce58c34a05cf2dc
Adult benthic invertebrate occurence data found in published literature additional to that already found in GBIF (mined in R using package rgbif), the IMR dataset (not publicly available) and the Andrade et al., 2017 dataset (https://doi.org/10.1594/PANGAEA.877932)
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