cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/wrgqam
title: Data Set from Flexural, Impact, and Hydraulic Pressure Tests on Precast Concrete Geothermal Energy Piles

description: A dataset from the flexural, impact and hydraulic pressure tests performed on seven precast concrete driven energy pile foundations are shared publicly on this database.
description: Abstract: Geothermal energy pile foundations are among the most common types of energy geostructures that provide structural support and can be used as a source with ground source heat pumps for heating and cooling buildings. Energy piles can be categorized into cast-in-place and precast piles. Driven precast concrete energy piles can be installed up to the bedrock level, with higher quality, lower cost, and faster installation process compared to cast-in-place energy piles. Precast concrete driven energy pile foundations are manufactured segmentally, and the segments are connected using a suitable type of joint that provides structural integrity and allows continuity of heat exchanging pipes. An innovative and novel steel driven energy pile (DEP) joint was used to manufacture seven precast concrete driven energy piles. To assure the proper performance of the energy piles and the DEP joint, flexural, impact, and hydraulic pressure tests were performed according to the BS EN 12794 standard and the ASTM F2164-21, respectively. The impact test data includes the PDA files, which can be opened using CAPWAP® 2014 software. The data from pressure tests are summarized in a single Excel document. The data of flexural tests includes the force-displacement test data in a single Excel document and also the related digital image correlation (DIC) data, which can be opened by VIC3D 9.4.22 software. The DIC data of each experiment is compiled within a single zip file. The data of this study can be used as a reference for future research and development on driven energy pile joints.
description: VIC3D, 9.4.22
description: CAPWAP®, 2014
DOI: 10.18710/zzasba
title: UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset

description: &lt;p&gt;The UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset is a collection of image patches designed for computational prognostic evaluation of lung cancer. Compiled from a subset of 194 whole-slide images (WSIs) from the University Hospital of North Norway, this dataset provides a comprehensive representation of various lung tissue conditions. Each 768 x 768 pixel patch contributes to a detailed analysis of tissue morphology.&lt;/p&gt;
&lt;p&gt;The dataset was annotated by an oncologist (Thomas Kilvær) and a pathologist (Stig Dalen) with a concerted effort to minimize selection and labeling biases. Specifically, patches with predominantly cancer cells, including tumor-infiltrating lymphocytes, were annotated by Stig Dalen. Thomas Kilvær provided annotations for patches representing normal lung tissue. The combined efforts of Stig Dalen and Thomas Kilvær resulted in the annotations for the reactive stroma with tertiary lymphoid structures and necrosis areas data. Annotations were acquired using QuPath software and a custom-developed annotation tool.&lt;/p&gt;
&lt;p&gt;The dataset categorizes patches into four classes: necrosis, tumor, stroma_tls, and normal_lung. The necrosis class includes patches of tissue associated with tumor regions, while the normal lung class represents areas of healthy lung tissue, inclusive of stromal components. The stroma_tls class is characterized by patches of reactive stroma with dense tissue and lymphocyte aggregates. The tumor tissue class comprises patches with a predominant presence of tumor content and may also include areas with tumor-infiltrating lymphocytes (TILs).&lt;/p&gt;
&lt;p&gt;For those interested in further expanding the scope and improving the balance of classes within the dataset, additional patches from the LC25000 dataset can be integrated for a more diverse representation of tissue conditions. This approach can enhance the robustness of computational models developed using this data.&lt;/p&gt;
&lt;p&gt;The dataset is divided into training and testing sets to facilitate and promote reproducibility in the development and validation of vision models. The training set includes a selection of patches from each class, while the testing set is composed of the remaining patches to ensure a comprehensive assessment of model performance.&lt;/p&gt;
description: QuPath, 0.1.3
description: flet-patch-labeler, ad05dfe
DOI: 10.18710/mtuavq/jine9d
title: 20230910_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/mdysaw
title: 20230809_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/yrpn8j
title: 20230816_BJN_REDTEC_gal.txt
DOI: 10.18710/tynihf/6vseaw
title: 20230820_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/79nfcn
title: 20230809_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/9kcv7p
title: 20230810_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/boqcjb
title: 20230723_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/cq5lsy
title: 20230718_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/ct1mge
title: 20230923_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/eh53ec
title: 20230828_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/ienlfq
title: 20231216_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/jxawyd
title: 20231231_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/ouz2fb
title: 20230725_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/pdhtej
title: 20230917_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/swoyzd
title: 20230824_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/t8sjnk
title: 20230824_HOP_REDTEC_gps.txt
DOI: 10.18710/umdoq0/bqkxqa
title: 20230423_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/bqzwfa
title: 20230626_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ilqdu0
title: 20230913_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/la0o74
title: 20230605_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/wg3ioi
title: 20230511_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/wivmbf
title: 20230531_KHO_REDTEC_glo.txt
DOI: 10.18710/mtuavq/mftiui
title: 20230926_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/uc6dgv
title: 20230722_BJN_REDTEC_gal.txt
DOI: 10.18710/tynihf/1hrhbj
title: 20231206_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/2dsmvi
title: 20231004_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/lpvfvy
title: 20231223_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/vcmcbn
title: 20230921_HOP_REDTEC_gps.txt
DOI: 10.18710/umdoq0/nonp4x
title: 20230908_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/o1923g
title: 20230429_KHO_REDTEC_gal.txt
DOI: 10.18710/tynihf/0qxwar
title: 20231123_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/5wdy0a
title: 20231030_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/mvdyrr
title: 20231205_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/ncpe3a
title: 20231125_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/romesr
title: 20231002_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/uwjq44
title: 20231029_HOP_REDTEC_glo.txt
DOI: 10.18710/m0osle/2yaxmu
title: 20240102_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/r3ytej
title: 20240105_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/rehesz
title: 20240527_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/ublm8d
title: 20240111_KHO_REDOBS_gps.txt
DOI: 10.18710/mtuavq/8rhw0h
title: 20230731_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/gai2uj
title: 20230922_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/r5yw2w
title: 20230918_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/thalrl
title: 20231015_BJN_REDTEC_gal.txt
DOI: 10.18710/tynihf/6jouzq
title: 20231121_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/81labu
title: 20231203_HOP_REDTEC_glo.txt
DOI: 10.18710/umdoq0/9hmql2
title: 20230903_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/awboyg
title: 20230819_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/g9xx15
title: 20230410_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/hdhqiy
title: 20230815_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/hjbnsh
title: 20230427_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/plbgnw
title: 20230402_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/pwtjff
title: 20230418_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/rijw0r
title: 20230722_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/s7i5wn
title: 20230718_KHO_REDTEC_gps.txt
DOI: 10.18710/m0osle/1qzm8l
title: 20240104_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/1tm4tr
title: 20240606_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/4mbsmg
title: 20240503_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/fgh2zk
title: 20240611_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/gbxlkj
title: 20240409_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/qekzoh
title: 20240612_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/rie6po
title: 20240517_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/sfkc3j
title: 20240117_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/um18da
title: 20240218_KHO_REDOBS_gps.txt
DOI: 10.18710/umdoq0/teerb9
title: 20230912_KHO_REDTEC_gal.txt
DOI: 10.18710/m0osle/7rrcmr
title: 20240523_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/81xflr
title: 20240608_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/bfungu
title: 20240630_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/fwihe3
title: 20240618_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/hnj4cg
title: 20240602_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/xwgoo9
title: 20240422_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/y0ejby
title: 20240628_KHO_REDOBS_glo.txt
DOI: 10.18710/rxiuhf/0msvci
title: 03_Uniaxial_compression_B03_3.50-3.60_CSR.txt
DOI: 10.18710/rxiuhf/5ig80p
title: 01_Ground_temperature_1.csv
DOI: 10.18710/te5zog/yza1ps
title: Data_Protection_Impact_Assessment_TROLLing_Lorenz_2024.pdf

description: Assessment of whether open publication is in line with applicable legal and research-ethical rules and guidelines
DOI: 10.18710/tynihf/fbjyet
title: 20231101_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/mwgrro
title: 20231003_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/uk3dqt
title: 20231228_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/vvyjhc
title: 20231111_HOP_REDTEC_glo.txt
DOI: 10.18710/wrgqam/dfmvrr
title: 1_Material_Properties.xlsx

description: Material properties of concrete, rebars, and pipes used in the manufacturing of the precast concrete energy piles
DOI: 10.18710/wrgqam/okr6u8
title: 3_Pressure_test_data.zip

description: Summary of the hydraulic pressure tests performed on the energy piles after the impact tests and before the flexural tests
DOI: 10.18710/m0osle/0o07xs
title: 20240629_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/8rt6o2
title: 20240625_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/bo4dwu
title: 20240520_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/ekfjrq
title: 20240625_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/p5amoa
title: 20240714_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/pt7fgn
title: 20240627_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/rrhkj0
title: 20240514_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/va8uau
title: 20240509_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/xaxbdg
title: 20240506_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/xd4d2a
title: 20240625_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/xpgs5f
title: 20240519_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/ykbo7g
title: 20240624_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/yogz4w
title: 20240408_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/ywuloh
title: 20240502_KHO_REDOBS_glo.txt
DOI: 10.18710/rxiuhf/qc6lm5
title: 03_Uniaxial_compression_B03_3.3-3.4_CSR.txt
DOI: 10.18710/tynihf/0kblu0
title: 20231224_HOP_REDTEC_gal.txt
DOI: 10.18710/ugnife
title: DualSleep dataset for accelerometer-based sleep/wakefulness recognition
title: DualSleep

description: The DualSleep dataset contains acceleration and temperature overnight recordings of 29 participants wearing two accelerometers at the thigh and lower back, together with the corresponding sleep stages/annotations (Wake, Non-REM1, Non-REM2, Non-REM3, REM, Movement). The annotation were created using simultaneous Polysomnography recordings. The study protocol was approved by the Regional Committee for Medical and Health research ethics (reference no. 2015/1748/REK midt) and all participants signed a written informed consent before being enrolled in the study.

The DualSleep dataset was used for machine learning experiments in our published paper: "A machine learning model for predicting sleep and wakefulness based on accelerometry, skin temperature and contextual information" (https://doi.org/10.2147/NSS.S452799)
DOI: 10.18710/umdoq0/jpmp61
title: 20230918_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/oawied
title: 20230713_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/srqlqu
title: 20230917_KHO_REDTEC_gps.txt
DOI: 10.18710/zzasba/3bmkk3
title: test_subset.zip
DOI: 10.18710/mtuavq/3c4hts
title: 20230824_BJN_REDTEC_gal.txt
DOI: 10.18710/tynihf/o6tpkr
title: 20231128_HOP_REDTEC_gal.txt
DOI: 10.18710/umdoq0/0ziqiq
title: 20230809_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/1wghrj
title: 20230816_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/72ujll
title: 20230710_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/8egd3s
title: 20230703_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/9ojaeg
title: 20230824_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/9qi6sa
title: 20230922_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ft9jzs
title: 20230719_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/h9frtj
title: 20230828_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/hnp9t2
title: 20230802_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/izca43
title: 20230810_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/pez4od
title: 20230718_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/sjhzgs
title: 20230807_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/u7oknf
title: 20230728_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ushfjn
title: 20230920_KHO_REDTEC_gal.txt
DOI: 10.18710/mtuavq/99zkex
title: 20230822_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/ccr51x
title: 20230810_BJN_REDTEC_glo.txt
DOI: 10.18710/tynihf/pgpkr1
title: 20231211_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/rw4inm
title: 20231103_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/snnves
title: 20231025_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/ssbuuq
title: 20231204_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/tdsnji
title: 20231008_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/txxtko
title: 20231229_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/uvrelg
title: 20231222_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/wntfvd
title: 20231129_HOP_REDTEC_glo.txt
DOI: 10.18710/umdoq0/4f5gnz
title: 20230920_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/eqz857
title: 20230912_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/lptwns
title: 20230730_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/oftduh
title: 20230725_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/oslapq
title: 20230906_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/qx0ldl
title: 20230709_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/thzjoa
title: 20231019_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/w9u5m6
title: 20230731_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/wfos44
title: 20230102_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/xcw0zv
title: 20230804_KHO_REDTEC_glo.txt
DOI: 10.18710/l0vpw7/bubfqo
title: SBL024_Subt4__15__15-04-46-812.txt
DOI: 10.18710/ltho8b/reyhdq
title: Figure_4.png
DOI: 10.18710/m0osle/ft5uxi
title: 20240502_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/woufmh
title: 20240604_KHO_REDOBS_glo.txt
DOI: 10.18710/rxiuhf/3lymlx
title: 03_Uniaxial_compression_B02_4.4-4.5_CSR.txt
DOI: 10.18710/rxiuhf/eyqgg6
title: 03_Uniaxial_compression_B02_6.1-6.2_CL.txt
DOI: 10.18710/rxiuhf/hmbokb
title: 02_Labolatory_temperature_24.vi2
DOI: 10.18710/rxiuhf/mi3rrt
title: 03_Uniaxial_compression_B02_3.9-4.0_CL.txt
DOI: 10.18710/rxiuhf/n8ps71
title: 03_Uniaxial_compression_B02_3.30-3.50_CL.txt
DOI: 10.18710/rxiuhf/xazahc
title: 03_Uniaxial_compression_B03_2.4-2.5_CL.txt
DOI: 10.18710/scnnmr/1fakb5
title: SupplementaryDataForJdocArticle_2024.pdf

description: Supplementary data for the article
DOI: 10.18710/tynihf/dagnrm
title: 20231116_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/ftxefo
title: 20231219_HOP_REDTEC_gps.txt
DOI: 10.18710/ugnife/ipl5p5
title: PSGO_27.csv
DOI: 10.18710/umdoq0/3nx9br
title: 20231207_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/5fjdcm
title: 20230726_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/5i6uoa
title: 20230806_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/7kf0u0
title: 20230821_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/cixmph
title: 20230911_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/fw74d2
title: 20230824_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/gjfxv2
title: 20230802_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/hhazsk
title: 20231204_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ionh6a
title: 20230729_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/iwnoyx
title: 20230816_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/kdzr7f
title: 20231001_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/lzi6uh
title: 20231102_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/n4f1wp
title: 20230801_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/no1huf
title: 20230801_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ojxav3
title: 20230925_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/pvwitd
title: 20230722_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/se8jg7
title: 20230930_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/yjsycg
title: 20230913_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ypa3er
title: 20230701_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/gyfaub
title: 20231125_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/yfqa8g
title: 20230817_KHO_REDTEC_glo.txt
DOI: 10.18710/m0osle/94c1nl
title: 20240414_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/dh06ze
title: 20240420_KHO_REDOBS_gal.txt
DOI: 10.18710/mtuavq/34bk9h
title: 20231004_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/98cxio
title: 20231108_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/acpwm8
title: 20230716_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/deadup
title: 20230823_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/gcwsqq
title: 20230829_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/ttqypc
title: 20231207_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/xxskn5
title: 20230601_BJN_REDTEC_glo.txt
DOI: 10.18710/tynihf/10ghfn
title: 20231209_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/1tyyrq
title: 20231004_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/26o2gr
title: 20231012_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/d1mmua
title: 20231112_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/dij9x0
title: 20231031_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/hpcygb
title: 20231031_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/iaoxjv
title: 20231004_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/weni0o
title: 20231126_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/wlsy0c
title: 20231009_HOP_REDTEC_gps.txt
DOI: 10.18710/umdoq0/1s67en
title: 20230725_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/4rhn9u
title: 20231118_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/8thrfk
title: 20230703_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/bwqwrf
title: 20231030_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/gmv04q
title: 20231117_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ivzs01
title: 20231006_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/lyh23f
title: 20231001_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/mj8dov
title: 20231201_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/n3nikn
title: 20231022_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/nj4dqg
title: 20230206_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/nqeunw
title: 20231227_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/olirzu
title: 20231007_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/rqjfy2
title: 20231112_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/rutq6a
title: 20231208_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/sdqdfn
title: 20231217_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/sm2wy9
title: 20230303_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/swayjj
title: 20230114_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ubjw1b
title: 20231101_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/vbv2ta
title: 20231122_KHO_REDTEC_gal.txt
DOI: 10.18710/m0osle/b3xos2
title: 20240504_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/iueove
title: 20240911_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/q9zbry
title: 20240512_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/vd8dic
title: 20240605_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/vgulza
title: 20240421_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/z96qfz
title: 20240807_KHO_REDOBS_glo.txt
DOI: 10.18710/tgrolw/m2zouw
title: 20230324_NYA_REDTEC_glo.txt
DOI: 10.18710/umdoq0/bfpjbr
title: 20231118_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ymmqjn
title: 20230115_KHO_REDTEC_gps.txt
DOI: 10.18710/4dlxe3/8w4bxj
title: Script_wolf_wind_main.R

description: Script to replicate the main analysis.
DOI: 10.18710/dqzkmx/umumgk
title: 9-letter-r.csv

description: Accuracy tables for the dataset: Letter Recognition.

Slate, D. (1991). Letter Recognition. UCI Machine Learning Repository. https://doi.org/10.24432/C5ZP40. Licensed under CC BY 4.0.
DOI: 10.18710/m0osle/6nbyjb
title: 20240624_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/8rgmox
title: 20240626_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/8rhymi
title: 20240607_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/aurs2s
title: 20240514_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/avi3d7
title: 20240725_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/lrpvii
title: 20240409_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/toqeig
title: 20240622_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/wr2hg1
title: 20240611_KHO_REDOBS_glo.txt
DOI: 10.18710/mtuavq/1lxusr
title: 20230824_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/5sq6al
title: 20230924_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/do4lm2
title: 20230901_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/hcacxz
title: 20230705_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/ivyrqm
title: 20230817_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/kx1xwe
title: 20230823_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/li5dak
title: 20230813_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/pckxek
title: 20230702_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/uud79j
title: 20230916_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/yadnhv
title: 20230424_BJN_REDTEC_glo.txt
DOI: 10.18710/rxiuhf/xyebd1
title: 03_Uniaxial_compression_B02_3.60-3.70_CL.txt
DOI: 10.18710/tgrolw/ntigkz
title: 20230327_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/yxismm
title: 20230324_NYA_REDTEC_gps.txt
DOI: 10.18710/tynihf/mkymvf
title: 20231019_HOP_REDTEC_glo.txt
DOI: 10.18710/ugnife/8xhaye
title: PSGO_07.csv
DOI: 10.18710/ugnife/psqyns
title: PSGO_16.csv
DOI: 10.18710/ugnife/ualfkj
title: PSGO_01.csv
DOI: 10.18710/umdoq0/07wjb3
title: 20231211_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/3snilg
title: 20231204_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/4eqkhl
title: 20231110_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/7hxjkp
title: 20230131_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/99xqhq
title: 20230217_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/asetxa
title: 20231210_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/avgsif
title: 20231119_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/d9gqtq
title: 20231222_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/fdjrw6
title: 20230326_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/fe2l5q
title: 20231114_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/fvk88i
title: 20231214_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/g0q4mo
title: 20230318_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/geic9n
title: 20230206_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/hk27ct
title: 20230103_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/jmiwji
title: 20230101_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/jooome
title: 20231115_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/keijlo
title: 20231221_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/lh5edn
title: 20230303_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/lnbwxr
title: 20231219_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/luge3d
title: 20231226_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ng2zb7
title: 20231104_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/o9gljg
title: 20231014_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/orvlfz
title: 20230331_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/t2auxf
title: 20231008_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/tk2mrz
title: 20231128_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/weteve
title: 20231205_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/wxsz0p
title: 20231217_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/x7oxr1
title: 20231215_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/y70mdy
title: 20231212_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/yx4yds
title: 20231029_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/zn9ihd
title: 20231202_KHO_REDTEC_gal.txt
DOI: 10.18710/w5b9qd/hhvugl
title: Chaetognatha.mp4
DOI: 10.18710/w5b9qd/rqslqa
title: Paraeuchaeta.mp4
DOI: 10.18710/w5b9qd/sznb4g
title: 00_README.txt

description: Readme file describing the data
DOI: 10.18710/w5b9qd/upovj5
title: Tomopteris.mp4
DOI: 10.18710/wrgqam/rajwtw
title: 4_Flexural_tests_and_DIC_summary.xlsx

description: Summary of the flexural tests including the force, moment, displacements at each load step and the corresponding photo ID of each step for DIC analysis
DOI: 10.18710/dqzkmx/hpulzy
title: 10-hepatitis.csv

description: Accuracy tables for the dataset: Hepatitis.

Gong, G. (1988). Hepatitis. UCI Machine Learning Repository. https://doi.org/10.24432/C5Q59J. Licensed under CC BY 4.0.