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Publication Year: 2023

1,261 to 1,270 of 12,160 Results

Line_KR.sgy Oct 24, 2023 - Replication Data for: "Local seismicity and sediment deformation in the west Svalbard margin: Implications of neotectonics for seafloor seepage" Unknown - 15.3 MB - MD5: 5b20d0f8736021690644ae8593031039
Line_VR_1.sgy Oct 24, 2023 - Replication Data for: "Local seismicity and sediment deformation in the west Svalbard margin: Implications of neotectonics for seafloor seepage" Unknown - 124.3 MB - MD5: cb7314e6470936a7d3c045af90024c45
Line_VR_2.sgy Oct 24, 2023 - Replication Data for: "Local seismicity and sediment deformation in the west Svalbard margin: Implications of neotectonics for seafloor seepage" Unknown - 42.7 MB - MD5: a53f1432ac269f121e080a64f07c9ef7
Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data Oct 24, 2023 - TROLLing Sönning, Lukas, 2023, "Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data", https://doi.org/10.18710/5KCE4U, DataverseNO, V1 Dataset description This dataset, which is adapted from Jenset and McGillivray (2017), contains tabular files documenting the alternating usage of -(e)th and -(e)s to mark third-person verb inflection in Early Modern English. The data provided by Jenset and McGillivray (2017) are...
00_ReadMe_downsampling.txt Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data Plain Text - 12.1 KB - MD5: d2b604408fd1f1ffb99c28cfc66c3760 Documentation Text file describing the dataset
data_jenset_mcgillivray_downsampling.tsv Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data Tab-Separated Values - 2.0 MB - MD5: ceca38119ea898d2bbb23c5dd5a32b41 Data Tab-delimited data table containing the 11,645 annotated verb tokens
script_data_preparation.qmd Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data Unknown - 13.1 KB - MD5: 78c7f9528d13d6bb2bddc354e6e62a19 Code R script documenting the data preparation steps
Replication Data for: Finite element-based diffraction correction for piezoelectric transducers accounting for diffraction at transmission, propagation, and reception Oct 23, 2023 - University of Bergen Mosland, Eivind Nag; Lunde, Per; Kocbach, Jan, 2023, "Replication Data for: Finite element-based diffraction correction for piezoelectric transducers accounting for diffraction at transmission, propagation, and reception", https://doi.org/10.18710/ANAN9E, DataverseNO, V1 This dataset contains modelled diffraction corrections for an example ultrasonic transmit-receive measurement system with piezoelectric transducers, and the underlying raw data used to calculate these diffraction corrections. Three different diffraction correction models are used...
00_ReadMe.txt Oct 23, 2023 - Replication Data for: Finite element-based diffraction correction for piezoelectric transducers accounting for diffraction at transmission, propagation, and reception Plain Text - 6.1 KB - MD5: e5a0c7b6b85bb879267aa6bf645deb2a ReadMe
diffcorr_dev_func_of_L.nc Oct 23, 2023 - Replication Data for: Finite element-based diffraction correction for piezoelectric transducers accounting for diffraction at transmission, propagation, and reception Network Common Data Form - 41.9 KB - MD5: fc560938e28fff25df91daf73fa61e3b Deviations between the diffraction corrections for the transmitter's first radial mode as a function of distance, estimating the effect of model simplifications. This is the data used in Fig. 5 in the paper.

Line_KR.sgy

Oct 24, 2023 - Replication Data for: "Local seismicity and sediment deformation in the west Svalbard margin: Implications of neotectonics for seafloor seepage"

Unknown - 15.3 MB -

Line_VR_1.sgy

Oct 24, 2023 - Replication Data for: "Local seismicity and sediment deformation in the west Svalbard margin: Implications of neotectonics for seafloor seepage"

Unknown - 124.3 MB -

Line_VR_2.sgy

Oct 24, 2023 - Replication Data for: "Local seismicity and sediment deformation in the west Svalbard margin: Implications of neotectonics for seafloor seepage"

Unknown - 42.7 MB -

Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data

Oct 24, 2023 - TROLLing

Sönning, Lukas, 2023, "Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data", https://doi.org/10.18710/5KCE4U, DataverseNO, V1

Dataset description This dataset, which is adapted from Jenset and McGillivray (2017), contains tabular files documenting the alternating usage of -(e)th and -(e)s to mark third-person verb inflection in Early Modern English. The data provided by Jenset and McGillivray (2017) are...

00_ReadMe_downsampling.txt

Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data

Plain Text - 12.1 KB -

Documentation

Text file describing the dataset

data_jenset_mcgillivray_downsampling.tsv

Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data

Tab-Separated Values - 2.0 MB -

Data

Tab-delimited data table containing the 11,645 annotated verb tokens

script_data_preparation.qmd

Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data

Unknown - 13.1 KB -

Code

R script documenting the data preparation steps

Replication Data for: Finite element-based diffraction correction for piezoelectric transducers accounting for diffraction at transmission, propagation, and reception

Oct 23, 2023 - University of Bergen

Mosland, Eivind Nag; Lunde, Per; Kocbach, Jan, 2023, "Replication Data for: Finite element-based diffraction correction for piezoelectric transducers accounting for diffraction at transmission, propagation, and reception", https://doi.org/10.18710/ANAN9E, DataverseNO, V1

This dataset contains modelled diffraction corrections for an example ultrasonic transmit-receive measurement system with piezoelectric transducers, and the underlying raw data used to calculate these diffraction corrections. Three different diffraction correction models are used...

00_ReadMe.txt

Oct 23, 2023 - Replication Data for: Finite element-based diffraction correction for piezoelectric transducers accounting for diffraction at transmission, propagation, and reception

Plain Text - 6.1 KB -

ReadMe

diffcorr_dev_func_of_L.nc

Oct 23, 2023 - Replication Data for: Finite element-based diffraction correction for piezoelectric transducers accounting for diffraction at transmission, propagation, and reception

Network Common Data Form - 41.9 KB -

Deviations between the diffraction corrections for the transmitter's first radial mode as a function of distance, estimating the effect of model simplifications. This is the data used in Fig. 5 in the paper.

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