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12,161 to 12,170 of 12,413 Results
Modernising_Sport_Psychology_in_Football_Focus_group_guide.pdf
Feb 7, 2023 - Modernising sport psychology in football: Interview guides and supplementary data
Adobe PDF - 149.6 KB - MD5: 77222f73981a0b25c710e9cb1597a0f4
Replication data for: Comparing ocular biometry and autorefraction measurements from the Myopia Master with the IOLMaster 700 and the Huvitz HRK-8000A autorefractor
Jan 31, 2023 - University of South-Eastern Norway
Pedersen Hilde Røgeberg; Svarverud Ellen; Hagen Lene Aarvelta; Gilson Stuart; Baraas Rigmor C., 2023, "Replication data for: Comparing ocular biometry and autorefraction measurements from the Myopia Master with the IOLMaster 700 and the Huvitz HRK-8000A autorefractor", https://doi.org/10.23642/USN.21909591, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Ocular biometry and autorefraction measured during cycloplegia with the three instruments: Myopia Master, IOLMaster 700 and Huvitz HRK-8000A. Abstract Purpose: To compare axial length (AL) and corneal radius (CR) measured with the OCULUS Myopia Master and the Zeiss IOLMaster 700, and cycloplegic refractive error meas...
Dataset_ref_biom.csv
Jan 31, 2023 - Replication data for: Comparing ocular biometry and autorefraction measurements from the Myopia Master with the IOLMaster 700 and the Huvitz HRK-8000A autorefractor
Comma Separated Values - 16.7 KB - MD5: 1cadb5876f7009c7c2a8c9ec7488b712
Dataset_ref_biom.csv
README.txt
Jan 31, 2023 - Replication data for: Comparing ocular biometry and autorefraction measurements from the Myopia Master with the IOLMaster 700 and the Huvitz HRK-8000A autorefractor
Plain Text - 2.6 KB - MD5: 155fd470ef2ea0b1ce969c3c1220d4ac
README.txt
The REMOTE Panel: A four wave longitudinal dataset of experiences with remote working arrangements during 2022
Jan 31, 2023 - University of South-Eastern Norway
Olafsen Anja Hagen; Bentzen Marte; Stenling Andreas; Tafvelin Susanne, 2023, "The REMOTE Panel: A four wave longitudinal dataset of experiences with remote working arrangements during 2022", https://doi.org/10.23642/USN.21939563, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: The REMOTE Panel is a four wave longitudinal dataset collected from over 3500 Norwegian employees over the course of 2022 to capture their experiences with remote and hybrid work arrangements. The dataset is licensed under CC BY-NC-ND 4.0 for non-commercial use only. Note that the data will not be shared as long as t...
Supporting Files for: Genome-wide hydroxymethylation profiles in liver of female Nile tilapia with distinct growth performance
Jan 27, 2023 - Nord University
Konstantinidis, Ioannis; Sætrom, Pål; Fernandes, Jorge, 2023, "Supporting Files for: Genome-wide hydroxymethylation profiles in liver of female Nile tilapia with distinct growth performance", https://doi.org/10.18710/6VWVMQ, DataverseNO, V1
This dataset is related to the scientific publication: "Genome-wide hydroxymethylation profiles in liver of female Nile tilapia with distinct growth performance". Abstract of related publication: The mechanisms underlying the fast genome evolution that occurs during animal domestication are poorly understood. Here, we present a genome-wide epigenet...
00_Readme.txt
Jan 27, 2023 - Supporting Files for: Genome-wide hydroxymethylation profiles in liver of female Nile tilapia with distinct growth performance
Plain Text - 10.4 KB - MD5: 39e53204b4cea59708ec358c27f8a244
Supplementary_File_1a.txt
Jan 27, 2023 - Supporting Files for: Genome-wide hydroxymethylation profiles in liver of female Nile tilapia with distinct growth performance
Plain Text - 212.4 KB - MD5: 406984e071d323a444718804c74bfe1b
Supplementary_File_1a.xlsx
Jan 27, 2023 - Supporting Files for: Genome-wide hydroxymethylation profiles in liver of female Nile tilapia with distinct growth performance
MS Excel Spreadsheet - 239.9 KB - MD5: 692f46247e8cbd5eb616b407d7595f5b
Supplementary_File_1b.txt
Jan 27, 2023 - Supporting Files for: Genome-wide hydroxymethylation profiles in liver of female Nile tilapia with distinct growth performance
Plain Text - 51.8 KB - MD5: 3727a7c333c4bcc301a935d1dd733987
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