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451 to 460 of 11,076 Results

2016-09-24_spawning_ground_3_afternoon_cam_5_file_02.MP4 May 11, 2021 - Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5 MPEG-4 Video - 3.7 GB - MD5: 96fde98718c20670a12b9db46f1ea08f
2016-09-24_spawning_ground_3_afternoon_cam_5_file_03.MP4 May 11, 2021 - Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5 MPEG-4 Video - 3.7 GB - MD5: a5accbeb07d5694ccc13e4e5d08a0d05
2016-09-24_spawning_ground_3_afternoon_cam_5_file_04.MP4 May 11, 2021 - Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5 MPEG-4 Video - 1.9 GB - MD5: 7ca8bc822e94a5cfd0005f3048b22463
Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature Jun 16, 2021 Ancin-Murguzur, Francisco Javier; Hausner, Vera Helene, 2021, "Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature", https://doi.org/10.18710/PTQ8X7, DataverseNO, V1 Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult t...
00_README.txt Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature Plain Text - 3.3 KB - MD5: cac1754480e5840e440aaf6d7d5517e8
causalizeR.zip Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature ZIP Archive - 36.3 KB - MD5: 9d407764767d45c3c46a424615cef204 Snapshot of the causalizeR package at the moment of publication
Data.zip Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature ZIP Archive - 8.3 MB - MD5: 37dca9e41ce7bbc9f5dd53bc4ee2eca6 bibliographic files in .bib format as downloaded from Scopus
Script.R Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature R Syntax - 4.4 KB - MD5: 7a953dc67edabc01168a0628e4bf12ac Script to process the bibliographic data with the causalizeR package
Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study Aug 28, 2020 Kaiser, Sabine; Kyrrestad, Henriette; Martinussen, Monica, 2020, "Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study", https://doi.org/10.18710/OSAYBD, DataverseNO, V1 This dataset contains answers from 377 adolescents from secondary high school (class 11, 12, and 13), who answered questions about how they experienced the information provided about the coronavirus and how the virus affected their everyday life in the period 2020-03-16 to 2020-0...
0_ReadMe.txt Aug 28, 2020 - Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study Plain Text - 4.2 KB - MD5: 11955a5545fc1079a3e128447075f09a README

2016-09-24_spawning_ground_3_afternoon_cam_5_file_02.MP4

May 11, 2021 - Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5

MPEG-4 Video - 3.7 GB -

2016-09-24_spawning_ground_3_afternoon_cam_5_file_03.MP4

May 11, 2021 - Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5

MPEG-4 Video - 3.7 GB -

2016-09-24_spawning_ground_3_afternoon_cam_5_file_04.MP4

May 11, 2021 - Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5

MPEG-4 Video - 1.9 GB -

Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature

Jun 16, 2021

Ancin-Murguzur, Francisco Javier; Hausner, Vera Helene, 2021, "Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature", https://doi.org/10.18710/PTQ8X7, DataverseNO, V1

Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult t...

00_README.txt

Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature

Plain Text - 3.3 KB -

causalizeR.zip

Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature

ZIP Archive - 36.3 KB -

Snapshot of the causalizeR package at the moment of publication

Data.zip

Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature

ZIP Archive - 8.3 MB -

bibliographic files in .bib format as downloaded from Scopus

Script.R

Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature

R Syntax - 4.4 KB -

Script to process the bibliographic data with the causalizeR package

Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study

Aug 28, 2020

Kaiser, Sabine; Kyrrestad, Henriette; Martinussen, Monica, 2020, "Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study", https://doi.org/10.18710/OSAYBD, DataverseNO, V1

This dataset contains answers from 377 adolescents from secondary high school (class 11, 12, and 13), who answered questions about how they experienced the information provided about the coronavirus and how the virus affected their everyday life in the period 2020-03-16 to 2020-0...

0_ReadMe.txt

Aug 28, 2020 - Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study

Plain Text - 4.2 KB -

README

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