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4,031 to 4,040 of 11,649 Results

TGO_Ramfjordmoen_ionosonde_data_1984-12_PNG.zip Jul 4, 2022 - TGO Ramfjordmoen Ionosonde Data December 1984 ZIP Archive - 790.3 KB - MD5: f9eef6fcc9ba34dc97faa9cb8f70aa34
Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content May 27, 2019 Ancin Murguzur, Francisco Javier; Bison, Marjorie; Smis, Adriaan; Böhner, Hanna; Struyf, Eric; Meire, Patrick; Bråthen, Kari Anne, 2019, "Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content", https://doi.org/10.18710/CXRCUW, DataverseNO, V1 Here we provide a first step towards a global arctic-alpine NIRS model of foliar N, P and C content integrating 97 species, nine functional groups, three levels of phenology, a range of habitats and two biogeographic regions (the Alps and Fennoscandia). The precision of the resulting NIRS method meet international requirements, indicating one NIRS...
00_ReadMe.txt May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content Plain Text - 1.4 KB - MD5: 893f3e4ee9fc40672d200cc9f36b1310
Carbon .zip May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content ZIP Archive - 15.8 MB - MD5: 170ead1f8b99dd8dde99e601200423d4 Data and scripts for C calibration and prediction
Nitrogen .zip May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content ZIP Archive - 18.4 MB - MD5: b7edfe5c5c74ee3f1c4de86d123f5735 Data and scripts for N calibration and prediction
Phosphorus .zip May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content ZIP Archive - 13.0 MB - MD5: 7f7703b187411f4ab5db784965cb9bc8 Data and scripts for P calibration and prediction
Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5 May 11, 2021 - Spawning behavior of Arctic charr Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5", https://doi.org/10.18710/BMOHZB, DataverseNO, V1 This dataset contains video recordings of spawning behavior of Arctic charr (Salvelinus alpinus) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 5 at spawning ground 3 in the afternoon of 24 September 2016. A description of the data structure and format is gathered in the documentation dat...
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 to quantify using data from singular cases. We present causalizeR (http...
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

TGO_Ramfjordmoen_ionosonde_data_1984-12_PNG.zip

Jul 4, 2022 - TGO Ramfjordmoen Ionosonde Data December 1984

ZIP Archive - 790.3 KB -

Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content

May 27, 2019

Ancin Murguzur, Francisco Javier; Bison, Marjorie; Smis, Adriaan; Böhner, Hanna; Struyf, Eric; Meire, Patrick; Bråthen, Kari Anne, 2019, "Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content", https://doi.org/10.18710/CXRCUW, DataverseNO, V1

Here we provide a first step towards a global arctic-alpine NIRS model of foliar N, P and C content integrating 97 species, nine functional groups, three levels of phenology, a range of habitats and two biogeographic regions (the Alps and Fennoscandia). The precision of the resulting NIRS method meet international requirements, indicating one NIRS...

00_ReadMe.txt

May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content

Plain Text - 1.4 KB -

Carbon .zip

May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content

ZIP Archive - 15.8 MB -

Data and scripts for C calibration and prediction

Nitrogen .zip

May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content

ZIP Archive - 18.4 MB -

Data and scripts for N calibration and prediction

Phosphorus .zip

May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content

ZIP Archive - 13.0 MB -

Data and scripts for P calibration and prediction

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

May 11, 2021 - Spawning behavior of Arctic charr

Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: afternoon; camera no: 5", https://doi.org/10.18710/BMOHZB, DataverseNO, V1

This dataset contains video recordings of spawning behavior of Arctic charr (Salvelinus alpinus) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 5 at spawning ground 3 in the afternoon of 24 September 2016. A description of the data structure and format is gathered in the documentation dat...

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 to quantify using data from singular cases. We present causalizeR (http...

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

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