cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/o2pkyn/yjovti
title: 2016-09-16_spawning_ground_3_morning_cam_3_file_10.MP4
DOI: 10.18710/oflznp/wfkgrg
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_16.MP4
DOI: 10.18710/oflznp/z5xzzs
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_01.MP4
DOI: 10.18710/q73py8/mmt4xc
title: 2016-09-16_spawning_ground_3_evening_cam_3_file_10.MP4
DOI: 10.18710/rbcb8f/dldyzq
title: 2016-09-24_spawning_ground_3_afternoon_cam_6_file_03.MP4
DOI: 10.18710/rbcb8f/ot1duy
title: 2016-09-24_spawning_ground_3_afternoon_cam_6_file_05.MP4
DOI: 10.18710/scklvs/bgzgxb
title: 2016-09-23_spawning_ground_3_evening_cam_8_file_04.MP4
DOI: 10.18710/uvpinu/ukonq9
title: TGO_Ramfjordmoen_ionosonde_data_2021-05.PNG.zip
DOI: 10.18710/vc2psh/ophtta
title: NG2018-AFib-gwas-summary-statistics.txt
DOI: 10.18710/ylvian/9vtudl
title: Study4data-1.tab

description: Formated data file (with lables).
DOI: 10.18710/ylvian/uneg7x
title: Study4data.tab

description: Plain text version of data. Comma separated.
DOI: 10.18710/ynh81s/d4kytt
title: 2016-09-23_spawning_ground_3_evening_cam_3_file_08.MP4
DOI: 10.18710/zosbkl/db3dbs
title: 2016-09-15_spawning_ground_3_evening_cam_2_file_08.MP4
DOI: 10.18710/zosbkl/fhu6v1
title: 2016-09-15_spawning_ground_3_evening_cam_2_file_10.MP4
DOI: 10.18710/06hsda/lixgzn
title: 324_X_FLOW_YCRST_DH.tab
DOI: 10.18710/06hsda/syd1ps
title: 315_PRO_YCRAGFST_DH.tab
DOI: 10.18710/06hsda/unogfl
title: 318_EL_DEMAND_YCRST_CLEANGAS.tab
DOI: 10.18710/2jtiot
title: Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer

description: These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET_40%) and 3) MRI-based motion corrected PET (PET_MoCo).
description: n/a
description: PyRadiomics, 3.0
DOI: 10.18710/ahkzyo/gzvanf
title: 2016-09-14_spawning_ground_3_morning_cam_1_file_08.MP4
DOI: 10.18710/buljrw
title: Replication Data for: Predictors of students’ participation in a learning environment survey with annual follow-ups

description: &lt;p&gt;The data are based on a longitudinal study of occupational therapy students in Norway. Students were invited to respond to a survey in each of the three study years. This study analysed predictors of consistent study participation; that is, responding to the survey in each of the study years. The data allows for replicating the study results.&lt;/p&gt;&lt;p&gt;Study abstract:&lt;br&gt;&lt;p&gt;Background: Longitudinal research is one effective way to gauge changes in a student cohort over time, however attrition in these studies is typically high, which can result in study bias. This study explored learning environment factors, approaches to studying, and academic performance as predictors of occupational therapy students’ consistent participation in data collection conducted over three years of their professional program.&lt;/p&gt;&lt;p&gt;Method: A longitudinal study of Norwegian occupational therapy students (analyzed n = 240) was conducted. Logistic regression analysis was used to explore occupational therapy students’ perceptions of the learning environment, their approaches to studying, and exam grades as they related to the likelihood of consistent participation at three annual surveys.&lt;/p&gt;&lt;p&gt;Results: Annual response rates varied between 55.1 %, and 65.6 %, and consistent participation was observed among 49.2 %. The fully adjusted regression models showed that higher strategic approach scores increased the odds of consistent participation (adjusted OR: 1.04, p &lt; 0.01), whereas higher surface approach scores decreased the odds of consistent participation (adjusted OR: 0.95, p &lt; 0.05). Neither sociodemographic factors, learning environment factors nor academic performance predicted participation over time.&lt;/p&gt;&lt;p&gt;Conclusions: Researchers can anticipate relatively high levels of attrition in longitudinal studies of occupational therapy students, but attrition seems to be largely proportional between groups. However, completers in longitudinal studies may be somewhat more well-organized and academically oriented than drop-outs.&lt;/p&gt;
description: SPSS, 26
DOI: 10.18710/c02ir6/tsxrhp
title: 2016-09-23_spawning_ground_3_evening_cam_2_file_04.MP4
DOI: 10.18710/ed8hsd/j7nl8c
title: REVISION-performance-metrics.R

description: an R script that generates simulated test data sets using GSE51032 as a template and evaluates method performance for ramr and other methods across all test scenarios. NB that some methods (e.g. comb-p) are slow, thus modern hardware and parallelism is advised. As comb-p uses at least four threads by default, it was forced to run in a single threaded mode by limiting "processes" parameter of multiprocessing.pool.Pool call to "1" in comb-p sorce code (cpv/_common.py).
DOI: 10.18710/h0y5i4/t09why
title: 2016-09-16_spawning_ground_3_afternoon_cam_1_file_09.MP4
DOI: 10.18710/idcuci/paus0w
title: 10-Regions-Imaged-every-5sec-10min-Z1-T1_50X_02.tif
DOI: 10.18710/jj3ebo
title: Video recordings of spawning behavior of Arctic charr; date: 2016-09-26; spawning ground: 3; time: afternoon; camera no: 1

description: &lt;p&gt;This dataset contains video recordings of spawning behavior of Arctic charr (&lt;em&gt;Salvelinus alpinus&lt;/em&gt;) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 1 at spawning ground 3 in the afternoon of 26 September 2016.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;A description of the data structure and format is gathered in the documentation dataset: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Documentation of the Spawning behavior of Arctic charr video collection", DataverseNO, https://doi.org/10.18710/VIQB0B&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;This dataset is part of a larger collection: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "The Spawning behavior of Arctic charr video collection". DataverseNO. https://doi.org/10.18710/HTM6-F146.&lt;/b&gt;&lt;/p&gt;
description: afternoon
DOI: 10.18710/nzxkew
title: Video recordings of spawning behavior of Arctic charr; date: 2016-09-26; spawning ground: 3; time: afternoon; camera no: 6

description: &lt;p&gt;This dataset contains video recordings of spawning behavior of Arctic charr (&lt;em&gt;Salvelinus alpinus&lt;/em&gt;) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 6 at spawning ground 3 in the afternoon of 26 September 2016.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;A description of the data structure and format is gathered in the documentation dataset: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Documentation of the Spawning behavior of Arctic charr video collection", DataverseNO, https://doi.org/10.18710/VIQB0B&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;This dataset is part of a larger collection: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "The Spawning behavior of Arctic charr video collection". DataverseNO. https://doi.org/10.18710/HTM6-F146.&lt;/b&gt;&lt;/p&gt;
description: afternoon
DOI: 10.18710/wvbjvw/6mgiiw
title: 2016-09-23_spawning_ground_3_afternoon_cam_6_file_05.MP4
DOI: 10.18710/z6yeld/a5ylxj
title: 2016-09-16_spawning_ground_3_evening_cam_1_file_04.MP4
DOI: 10.18710/zosbkl
title: Video recordings of spawning behavior of Arctic charr; date: 2016-09-15; spawning ground: 3; time: evening; camera no: 2

description: &lt;p&gt;This dataset contains video recordings of spawning behavior of Arctic charr (&lt;em&gt;Salvelinus alpinus&lt;/em&gt;) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 2 at spawning ground 3 in the evening of 15 September 2016.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;A description of the data structure and format is gathered in the documentation dataset: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Documentation of the Spawning behavior of Arctic charr video collection", DataverseNO, https://doi.org/10.18710/VIQB0B&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;This dataset is part of a larger collection: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "The Spawning behavior of Arctic charr video collection". DataverseNO. https://doi.org/10.18710/HTM6-F146.&lt;/b&gt;&lt;/p&gt;
description: evening
DOI: 10.18710/4tba0h/6ptxvp
title: 2016-09-16_spawning_ground_3_morning_cam_2_file_13.MP4
DOI: 10.18710/5aiobn/7sr5ta
title: 2016-09-15_spawning_ground_3_afternoon_cam_1_file_04.MP4
DOI: 10.18710/5aiobn/cplnnv
title: 2016-09-15_spawning_ground_3_afternoon_cam_1_file_05.MP4
DOI: 10.18710/5aiobn/kzrikm
title: 2016-09-15_spawning_ground_3_afternoon_cam_1_file_03.MP4
DOI: 10.18710/659tvn/6xrskn
title: 2016-09-15_spawning_ground_3_afternoon_cam_2_file_08.MP4
DOI: 10.18710/659tvn/ytwpsu
title: 2016-09-15_spawning_ground_3_afternoon_cam_2_file_05.MP4
DOI: 10.18710/6lhval/stmgl7
title: 2016-09-24_spawning_ground_3_morning_cam_3_file_10.MP4
DOI: 10.18710/bgyfc1/dh0mhv
title: 2016-09-15_spawning_ground_3_morning_cam_1_file_03.MP4
DOI: 10.18710/cxufl8/vvij9l
title: 2016-09-15_spawning_ground_3_evening_cam_1_file_04.MP4
DOI: 10.18710/ed8hsd/o4nsin
title: REVISION-algorithm-diagram.R

description: an R script that builds ramr flowchart
DOI: 10.18710/ed8hsd/x64ku6
title: REVISION-SIMULATED-results-5-1000.results.tab

description: detailed performance metrics
 obtained by revision/R/REVISION-performance-metrics.R. Decription of columns:
 01. lib: library used
 02. delta: delta beta of aberrant methylation events
 03. cutoff: q-value cutoff parameter for the search
 04. user.self: R system.time() output value
 05. sys.self: R system.time() output value
 06. elapsed: R system.time() output value
 07. user.child: R system.time() output value
 08. sys.child: R system.time() output value
 09. uGTP: number of ground true positive unique AMRs
 10. uTP: number of true positive unique AMRs found
 11. nGTP: number of ground true positive non-unique AMRs
 12. nTP: number of true positive non-unique AMRs found
 13. tFP: total number of false positive AMRs
 14. utpCor: average correlation coefficient for true positive unique AMRs found
 15. ntpCor: average correlation coefficient for true positive non-unique AMRs found
 16. ufnCor: average correlation coefficient for false negative unique AMRs
 17. nfnCor: average correlation coefficient for false negative non-unique AMRs
 18. tGTN: total number of ground true negative AMRs
 19. uFN: number of false negative unique AMRs
 20. nFN: number of false negative non-unique AMRs
 21. tTN: total number of true negative AMRs
 22. tFPR: total false positive AMR rate
 23. uPrecision: precision metric for unique AMRs
 24. uRecall: recall metric for unique AMRs
 25. uMCC: Matthews correlation coefficient metric for unique AMRs
 26. uF1: F1 metric for unique AMRs
 27. uAuROC: area under the recall-tFPR curve for unique AMRs
 28. uAuPR: area under the precision-recall curve for unique AMRs
 29. nPrecision: precision metric for non-unique AMRs
 30. nRecall: recall metric for non-unique AMRs
 31. nMCC: Matthews correlation coefficient metric for non-unique AMRs
 32. nF1: F1 metric for non-unique AMRs
 33. nAuROC: area under the recall-tFPR curve for non-unique AMRs
 34. nAuPR: area under the precision-recall curve for non-unique AMRs
DOI: 10.18710/ed8hsd/zc3sl8
title: REVISION-SIMULATED-5-1000-0.100.data.Rdata

description: An R data file which is
 similar to "revision∕data/REVISION-SIMULATED-5-1000-0.025.data.Rdata", but was
 generated using "delta=0.100". File was generated by
 revision/R/REVISION-performance-metrics.R.
DOI: 10.18710/idcuci/1p0scv
title: 20160420_mcc13_bmr20ppc_mtdr500nM_T25_1520_convtl_005.tif

description: Microscopy image data for the dataset LiveEpi1Hu.
DOI: 10.18710/idcuci/dlxtvz
title: Image1_Airyscan_RAW_AiryscanProcessing.tif
DOI: 10.18710/idcuci/escsfk
title: 20160420_mcc13_bmr20ppc_mtdr500nM_T25_1520_convtl_008.tif

description: Microscopy image data for the dataset LiveEpi1Hu.
DOI: 10.18710/kwqmyd/kclace
title: 2016-09-25_spawning_ground_3_morning_cam_3_file_07.MP4
DOI: 10.18710/kwqmyd/vgx34c
title: 2016-09-25_spawning_ground_3_morning_cam_3_file_10.MP4
DOI: 10.18710/o2pkyn/ugvsvj
title: 2016-09-16_spawning_ground_3_morning_cam_3_file_04.MP4
DOI: 10.18710/pzqc4a/nocac0
title: all_pupillometry.h5
DOI: 10.18710/sj9xhb/sd7gpo
title: 2016-09-18_spawning_ground_3_morning_cam_2_file_08.MP4
DOI: 10.18710/trxvju/iz9q0f
title: Daily_hemoglobin_value.tab
DOI: 10.18710/vc2psh
title: Summary statistics for "Biobank-driven genomic discovery yields new insight into atrial fibrillation biology"

description: To identify genetic variation underlying atrial fibrillation, the most common cardiac arrhythmia, we performed a genome-wide association study of &gt;1,000,000 people, including 60,620 atrial fibrillation cases and 970,216 controls. We identified 142 independent risk variants at 111 loci and prioritized 151 functional candidate genes likely to be involved in atrial fibrillation. Many of the identified risk variants fall near genes where more deleterious mutations have been reported to cause serious heart defects in humans (GATA4, MYH6, NKX2-5, PITX2, TBX5)1, or near genes important for striated muscle function and integrity (for example, CFL2, MYH7, PKP2, RBM20, SGCG, SSPN). Pathway and functional enrichment analyses also suggested that many of the putative atrial fibrillation genes act via cardiac structural remodeling, potentially in the form of an ‘atrial cardiomyopathy’2, either during fetal heart development or as a response to stress in the adult heart.
The data format is .tbl
description: METAL, 2011-03-25
description: GCTA, 1.91.1
description: Plink, 1.9
description: SAIGE, 0.19
description: BOLT-LMM, 2.3.1
description: EPACTS, 3.3
description: Genome Analysis Toolkit, 3.4.0
description: DEPICT, 2014-07-21
description: GREGOR, 1.4.0
description: R software pSI package, 1.1
description: Philips TraceMasterVue ECG Management System
description: R, 3.4.3
description: Python, 3.4.5
description: BAFRegress, 0.9.3
description: Illumina GenomeStudio, Module 1.9.4, algorithm GenTrain 2.0
description: LASER, 2.0
description: Minimac, 3
description: SQLite, 3
DOI: 10.18710/zosbkl/iafiyo
title: 2016-09-15_spawning_ground_3_evening_cam_2_file_06.MP4
DOI: 10.18710/06hsda/c4vex4
title: 314_PRO_YCRAGF_NOIDVH.tab
DOI: 10.18710/06hsda/q8xaxx
title: 29_MainResults_CLEANGAS.gdx
DOI: 10.18710/0xfsvw/5rin4p
title: 2016-09-16_spawning_ground_3_morning_cam_1_file_07.MP4
DOI: 10.18710/0xfsvw/73hv5m
title: 2016-09-16_spawning_ground_3_morning_cam_1_file_03.MP4
DOI: 10.18710/0xfsvw/indooi
title: 2016-09-16_spawning_ground_3_morning_cam_1_file_12.MP4
DOI: 10.18710/0xfsvw/jgalkv
title: 2016-09-16_spawning_ground_3_morning_cam_1_file_02.MP4
DOI: 10.18710/0xfsvw/nde538
title: 2016-09-16_spawning_ground_3_morning_cam_1_file_09.MP4
DOI: 10.18710/0xfsvw/ve34xo
title: 2016-09-16_spawning_ground_3_morning_cam_1_file_17.MP4
DOI: 10.18710/4tba0h/nzqmz0
title: 2016-09-16_spawning_ground_3_morning_cam_2_file_11.MP4
DOI: 10.18710/659tvn/dllvan
title: 2016-09-15_spawning_ground_3_afternoon_cam_2_file_06.MP4
DOI: 10.18710/659tvn/efpb68
title: 2016-09-15_spawning_ground_3_afternoon_cam_2_file_04.MP4
DOI: 10.18710/8ee2js/okjt16
title: LousePigmentation_LessPigm_vs_LsOslofjord.txt

description: Data from experiment 2: Salmon lice with little pigmentation from Trøndelag was cultivated in an outdoor tank to see whether they developed dark pigmentation when exposed to daylight and sunshine. An old laboratory strain (LsOslofjord) was cultivated in a neighboring tank to compare pigmentation between the two strains. The level of pigmentation is given as dMGV (delta mean grey value) which is a measure showing how much light is blocked by the louse photograped in translucent light. Pigmentation is measured as the mean grey value in 50 pixel wide area on the louse cephalothorax using ImageJ. An equivalent area in the background just outside each louse is also measured and subtracted from the area covered by the louse to give a measure on how much light that is blocked by each louse. A subjective score is also given: 1=little pigmentation, 2=medium pigmentation and 3=much pigmentation (females with score 3 are rarely found in indoor tanks, but common in the wild)
DOI: 10.18710/ce8rqh/buwnhb
title: Figure_6.jpg

description: High-resolution version of Figure 6 in manuscript.
DOI: 10.18710/ce8rqh/kq6mwz
title: Figure_3f.jpg

description: High-resolution version of Figure 3f in manuscript.
DOI: 10.18710/ce8rqh/vjhrsj
title: Supplement_S2a.jpg

description: High-resolution version of Supplement S2a in manuscript.
DOI: 10.18710/cxufl8
title: Video recordings of spawning behavior of Arctic charr; date: 2016-09-15; spawning ground: 3; time: evening; camera no: 1

description: &lt;p&gt;This dataset contains video recordings of spawning behavior of Arctic charr (&lt;em&gt;Salvelinus alpinus&lt;/em&gt;) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 1 at spawning ground 3 in the evening of 15 September 2016.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;A description of the data structure and format is gathered in the documentation dataset: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Documentation of the Spawning behavior of Arctic charr video collection", DataverseNO, https://doi.org/10.18710/VIQB0B&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;This dataset is part of a larger collection: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "The Spawning behavior of Arctic charr video collection". DataverseNO. https://doi.org/10.18710/HTM6-F146.&lt;/b&gt;&lt;/p&gt;
description: evening
DOI: 10.18710/cxufl8/miu55z
title: 2016-09-15_spawning_ground_3_evening_cam_1_file_09.MP4
DOI: 10.18710/g4siij/n3vwni
title: eye8.zip
DOI: 10.18710/h0y5i4/3qu2e2
title: 2016-09-16_spawning_ground_3_afternoon_cam_1_file_03.MP4
DOI: 10.18710/h0y5i4/z1jwlk
title: 2016-09-16_spawning_ground_3_afternoon_cam_1_file_14.MP4
DOI: 10.18710/lp3ymq/ngvgom
title: Figure_2.jpg
DOI: 10.18710/o2pkyn/ash0vv
title: 2016-09-16_spawning_ground_3_morning_cam_3_file_15.MP4
DOI: 10.18710/o2pkyn/xcpuyq
title: 2016-09-16_spawning_ground_3_morning_cam_3_file_05.MP4
DOI: 10.18710/z6yeld/jixxbd
title: 2016-09-16_spawning_ground_3_evening_cam_1_file_01.MP4
DOI: 10.18710/zgaydt/qcb7kl
title: VersionB_OriginalData.txt

description: This file contains the original data set for Version B of the survey without organizing and cleaning it for analysis.
DOI: 10.18710/4tba0h/ce8x6g
title: 2016-09-16_spawning_ground_3_morning_cam_2_file_17.MP4
DOI: 10.18710/6meoma/qjf5kz
title: PLA_2.raw.zip
DOI: 10.18710/ce8rqh
title: Replication data for "Impact of Timanian thrust systems on the late Neoproterozoic–Phanerozoic tectonic evolution of the Barents Sea and Svalbard"

description: High-resolution versions of the figures of the Koehl et al. (2021; "Impact of Timanian thrust systems on the late Neoproterozoic–Phanerozoic tectonic evolution of the Barents Sea and Svalbard") submitted for review.
description: CorelDraw, 2017
DOI: 10.18710/nogjq2/2e7jav
title: JM-prl-tshba-pomca.tif
DOI: 10.18710/o2pkyn/lj3rep
title: 2016-09-16_spawning_ground_3_morning_cam_3_file_17.MP4
DOI: 10.18710/06hsda/ccfven
title: 301_EL_PRICE_YCR_CLEANGAS.tab
DOI: 10.18710/0xfsvw/f0xm98
title: 2016-09-16_spawning_ground_3_morning_cam_1_file_10.MP4
DOI: 10.18710/0xfsvw/vle53t
title: 2016-09-16_spawning_ground_3_morning_cam_1_file_18.MP4
DOI: 10.18710/44vr8k/qp1er2
title: 00_ReadMe.txt
DOI: 10.18710/4tba0h/mvvb0t
title: 2016-09-16_spawning_ground_3_morning_cam_2_file_03.MP4
DOI: 10.18710/ls41fg/oamba9
title: 2016-09-18_spawning_ground_3_morning_cam_3_file_04.MP4
DOI: 10.18710/pd713m/osvicg
title: 2016-09-19_spawning_ground_3_morning_cam_2_file_06.MP4
DOI: 10.18710/pzqc4a/f7awyr
title: api_responses.zip

description: Zipped folder of all responses from Google Speech-to-Text API.
DOI: 10.18710/ql4qnt/qybwnb
title: 2016-09-16_spawning_ground_3_evening_cam_2_file_05.MP4
DOI: 10.18710/t6ksx4/uqbzxx
title: matches_vm_mtt_subsample_27.csv

description: Results of the matching test (distinction power evaluation). Profile type: partly enriched; annotation scheme: MTT (=Syntagrus' native annotation). First column: sample size (=frequency cutoff/2), other columns (number of columns = number of permutations, 30 by default): matching rates. Encoding: UTF-8 without BOM; cell separator: comma; decimal separator: dot.
DOI: 10.18710/z6yeld/7cgyha
title: 2016-09-16_spawning_ground_3_evening_cam_1_file_11.MP4
DOI: 10.18710/z6yeld/z1ggym
title: 2016-09-16_spawning_ground_3_evening_cam_1_file_10.MP4
DOI: 10.18710/06hsda/digwiu
title: 326_CURT_YCRAGFST_HIGH.tab
DOI: 10.18710/06hsda/k6kms3
title: 321_H_DEMAND_YCRAST_CLEANGAS.tab
DOI: 10.18710/0pbogl/ljbuax
title: fields-08600.dat
DOI: 10.18710/3hfp0c/ijjwdw
title: 01_ReadMeFile.txt
DOI: 10.18710/bijyvo/9rol42
title: Day5_2021-07-05_Stokmo_2.zip
DOI: 10.18710/bijyvo/amddlh
title: Day6_2021-07-06.zip
DOI: 10.18710/bijyvo/idflr1
title: Day1_2021-07-01.zip
DOI: 10.18710/bijyvo/lsllc4
title: Day4_2021-07-04.zip
DOI: 10.18710/cqti4g/rndcar
title: Ulvoyholmen_2016_gannet_diet.txt
DOI: 10.18710/cqti4g/ui5dcl
title: Gjesvaer_2009_gannet_diet.txt
DOI: 10.18710/g4siij
title: Replication Data for: Super-resolution imaging of Schlemm’s canal using 3D-SIM

description: Series of three-dimensional structured illumination microscopy (3D SIM) and deconvolution microscopy data of 3µm think tissue sections of Schlemm’s Canal in the chamber angle of mice’s eyes. Schlemm’s Canal endothelium was labeled with an anti-CD31 antibody and an AF647 secondary antibody, the slides were also treated with the nuclear stain DAPI. In addition, eye tissue has significant autofluorescence. The eyes are of either a CD1 mouse strain wildtype animal or of the same background but carrying a βB1-CTGF transgenic construct. CTGF is known to play a key role in mediating the effects of primary open angle glaucoma. The aim of the study was to test the feasibility of 3D SIM of eye tissue and especially in the examination of Schlemm’s Canal.
DOI: 10.18710/g4siij/dzc7mu
title: 0_ReadMe.txt
DOI: 10.18710/hjavsn/fj5zmv
title: data_s2_raw_sequencing_data_run1_R2.fastq

description: Metabarcoding data from high-throughput sequencing
DOI: 10.18710/hjavsn/uxwqlx
title: Data_Filtered.csv

description: Filtered data used for regression analysis
DOI: 10.18710/idcuci/h0q3kl
title: 20191030_H9c2-normOx-3_cMed_mCh-OMP_mCL-1to1000-12min_36C-1522_m_027.tif

description: Microscopy image data for the dataset LiveEpi1Rat.
DOI: 10.18710/idcuci/rw9u0r
title: 0_ReadMe-1.txt
DOI: 10.18710/lp3ymq/kprknm
title: Figure_1.jpg

description: High-resolution version of Figure 1.
DOI: 10.18710/mwlhoa
title: Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 1)

description: It has been identified that the first-year experience is crucial to student motivation and throughput of study programs, therefore it is interesting to look at the state of the art of computer science study programs in Norway. This data is part of a PhD project and relates to Study 1. In this study we present a survey and study of the number of undergraduate computer science programs in Norway and map their characteristics in order to gather an up to date overview of the selection of programs. Through a systematic review of all Norwegian undergraduate programs using data from national databases we have found that there are 12 institutions offering 56 different programs in Norway in 2018. The study showed that the characteristics of these programs vary, that is, the amount of computer science courses during the first year, the number of students, admission requirements, student satisfaction and time commitment. This article presents these findings along with an analysis of what characteristics impact the students’ contentment and learning experience.