cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27wb2k
title: CCDC 2081838: Experimental Crystal Structure Determination

description: Related Article: Xi-Qiang Hou, Jiang-Bo Wen, Li Yan, Da-Ming Du|2021|Org.Biomol.Chem.|19|7181|doi:10.1039/D1OB01223A
description: Related Article: Xi-Qiang Hou, Ye Lin, Da-Ming Du|2021|Org.Chem.Front.|8|4183|doi:10.1039/D1QO00626F
DOI: 10.5517/ccdc.csd.cc27x5y9
title: CCDC 2082671: Experimental Crystal Structure Determination

description: Related Article: Felix Pultar, Moritz Hansen, Susanne Wolfrum, Lennard Böselt, Ricardo Fróis-Martins, Susanne Bloch, Alberto Kravina, Deren Pehlivanoglu, Christina Schäffer, Salome LeibundGut-Landmann, Sereina Riniker, Erick M Carreira|2021|J.Am.Chem.Soc.|143|10389|doi:10.1021/jacs.1c04825
description: Related Article: Felix Pultar, Moritz E. Hansen, Susanne Wolfrum, Lennard Böselt, Ricardo Fróis-Martins, Susanne Bloch, Alberto G. Kravina, Deren Pehlivanoglu, Christina Schäffer, Salomé LeibundGut-Landmann, Sereina Riniker, Erick M. Carreira|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.16713427.v2
title: Ultrasound findings in lateral elbow tendinopathy

description: Lateral elbow tendinopathy (LET) is one of the most prevalent conditions in the upper extremity with a diversity of therapeutic options. Understand the types and relations of radiological tendon features would help to develop more specific treatments. The aim of this study was to review ultrasound exams of LET to investigate the types of degenerative findings and the relationships between them in one of the most prominent sports medicine clinics in Latin America.<br>
DOI: 10.18739/a2bv79w8s
title: Landsat derived patterns of lake drainage in northern Alaska between 1975-2019

description: Forty-five years (i.e. 1975-2019) of Landsat observations were used to map the spatiotemporal patterns of lake drainage in northern Alaska. All Landsat data was pre-processed by the United States Geological Survey and downloaded by google earth engine in a radiometrically, atmospherically, and geometrically terrain-corrected state. We used Landsat surface reflectance products acquired from the Multispectral Scanner (MSS), Terrestrial Mapper (TM), Enhanced Terrestrial Mapper Plus (ETM+), and Operational Land Imager (OLI) sensors to compute eight image mosaics for the ice-free period (June 15 to September 1) at five-year time-periods. This data product represents the change in lake area between time-periods or epochs. All data used to spatially identify patterns of lake change are presented in a map (LakeDrainChg.tif), where the associated morphometric controls on drainage are summarized for each of the ~33,000 lake boundaries (Lake_Drainage.shp). All data can also be viewed within Google Earth Engine (https://code.earthengine.google.com/?accept_repo=users/mjlara71/LakeDrainage; accessed on 13 September 2021) or clone Git repository (git clone https://earthengine.googlesource.com/users/mjlara71/LakeDrainage ; accessed on 13 September 2021).
DOI: 10.6084/m9.figshare.16713427
title: Ultrasound findings in lateral elbow tendinopathy

description: Lateral elbow tendinopathy (LET) is one of the most prevalent conditions in the upper extremity with a diversity of therapeutic options. Understand the types and relations of radiological tendon features would help to develop more specific treatments. The aim of this study was to review ultrasound exams of LET to investigate the types of degenerative findings and the relationships between them in one of the most prominent sports medicine clinics in Latin America.<br>
DOI: 10.6084/m9.figshare.16713427.v4
title: Ultrasound findings in lateral elbow tendinopathy

description: Lateral elbow tendinopathy (LET) is one of the most prevalent conditions in the upper extremity with a diversity of therapeutic options. Understand the types and relations of radiological tendon features would help to develop more specific treatments. The aim of this study was to review ultrasound exams of LET to investigate the types of degenerative findings and the relationships between them in one of the most prominent sports medicine clinics in Latin America.<br>
DOI: 10.6084/m9.figshare.16713427.v3
title: Ultrasound findings in lateral elbow tendinopathy

description: Lateral elbow tendinopathy (LET) is one of the most prevalent conditions in the upper extremity with a diversity of therapeutic options. Understand the types and relations of radiological tendon features would help to develop more specific treatments. The aim of this study was to review ultrasound exams of LET to investigate the types of degenerative findings and the relationships between them in one of the most prominent sports medicine clinics in Latin America.<br>
DOI: 10.6084/m9.figshare.16807909.v3
title: Bioblitz Data and Meta-data

description: BIOL 3250 Bioblitz Data and Meta-Data
DOI: 10.15468/x4hgmy
title: Fauna marina de la costa vasca - Sistema de Información de la Naturaleza de Euskadi

description: Pendiente de cargar los datos del Endpoint.
DOI: 10.5281/zenodo.5588158
title: Program Comprehension Challenges in Software Code Review

description: Software engineers spend more time understanding code than writing it (with up to 70% of their time being devoted to this). A key activity where developers spend a lot of time reading and understanding code is software code review. Yet, little is known on the challenges concerning program comprehension during software code review. This study provides insight into the types of comprehension challenges that occur during code reviews and their causes. We find that missing design rationale is the most common reason for comprehension challenges in software code review. Comprehension challenges occur most commonly around five topics: “program logic,” “code design,” “defensive coding,” “condition checking,” and “concurrency”. We also show that machine learning (ML) can be used to automatically detect comprehension challenges with 74.3% precision and a 66.7% recall. We discuss potential improvements to code review support tools based on our findings. These files contain the trained ML algorithms and all the data collected and used for this study. Data was collected in 2018 with analysis performed in 2018/2019, but completion was delayed due to impacts of COVID19.
DOI: 10.5281/zenodo.5588157
title: Program Comprehension Challenges in Software Code Review

description: Software engineers spend more time understanding code than writing it (with up to 70% of their time being devoted to this). A key activity where developers spend a lot of time reading and understanding code is software code review. Yet, little is known on the challenges concerning program comprehension during software code review. This study provides insight into the types of comprehension challenges that occur during code reviews and their causes. We find that missing design rationale is the most common reason for comprehension challenges in software code review. Comprehension challenges occur most commonly around five topics: “program logic,” “code design,” “defensive coding,” “condition checking,” and “concurrency”. We also show that machine learning (ML) can be used to automatically detect comprehension challenges with 74.3% precision and a 66.7% recall. We discuss potential improvements to code review support tools based on our findings. These files contain the trained ML algorithms and all the data collected and used for this study. Data was collected in 2018 with analysis performed in 2018/2019, but completion was delayed due to impacts of COVID19.
DOI: 10.5066/p9env3rp
title: Projected peak instantaneous rate of green-up date and spring scale across Wyoming from 2000 to 2099

description: These data represent projections of peak instantaneous rate of green-up date (PIRGd) and spring scale across Wyoming from 2000-2099. Annual data is provided in gridded time series at approximately 4 km spatial resolution. Projections were generated by applying linear mixed models to contemporary remote sensing data, and applying model parameters to future climate projection data from the MACA dataset. Projections were generated for 5 global climate models (GCMs) and 2 representative concentration pathway (RCP) scenarios: RCP 4.5 and RCP 8.5. Data starting in 2000 are provided to help assess accuracy of model projections against contemporary datasets, and provide a platform for comparison to projections for future years. These data were used to assess future changes to forage phenology greenscapes along mule deer migration routes in Wyoming, and are available to assess the impacts of future climate on a wide variety of ecological processes.
DOI: 10.25345/c5jg22
title: MassIVE MSV000088250 - Proteome and secretome analysis of pancreatic cancer cell lines vs. normal epithelial ductal pancreatic cells
title: We have run shotgun and PRM proteomic analysis of cellular proteome and secretome from pancreatic cancer cell lines (PANC-1, PaCa-44, MIA PaCa-2 and BxPC-3) vs. normal epithelial ductal pancreatic cells (HPDE) in LC-MS/MS. Stable isotopic labelling was performed and digestion was done with Trypsin/Lys-C mix endoproteinase.
DOI: 10.34740/kaggle/dsv/2728918
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.16807909.v6
title: Bioblitz Data

description: BIOL 3250 Bioblitz Data and Meta-Data
DOI: 10.5281/zenodo.5590953
title: MySQL dump file for the mechismows server-side app

description: This mysql dump file provides the data for the restful api implemented in the mechismows app: https://github.com/reactome-fi/mechismows. The app is archived here: https://doi.org/10.5281/zenodo.5590949.
DOI: 10.5281/zenodo.5590952
title: MySQL dump file for the mechismows server-side app

description: This mysql dump file provides the data for the restful api implemented in the mechismows app: https://github.com/reactome-fi/mechismows. The app is archived here: https://doi.org/10.5281/zenodo.5590949.
DOI: 10.6084/m9.figshare.16807909.v7
title: Bioblitz Data

description: BIOL 3250 Bioblitz Data and Meta-Data
DOI: 10.6084/m9.figshare.16807909
title: Local Biodiversity Data and Meta-Data

description: BIOL 3250 Bioblitz Data and Meta-Data
DOI: 10.6084/m9.figshare.16807909.v9
title: Local Biodiversity Data and Meta-Data

description: BIOL 3250 Bioblitz Data and Meta-Data
DOI: 10.6084/m9.figshare.16807909.v8
title: Bioblitz Biodiversity Data and Meta-Data

description: BIOL 3250 Bioblitz Data and Meta-Data
DOI: 10.5517/ccdc.csd.cc27y7n3
title: CCDC 2083685: Experimental Crystal Structure Determination

description: Related Article: Georgia Richardson, Iskander Douair, Scott A. Cameron, Laurent Maron, Mathew D. Anker|2021|Chem.-Eur.J.|27|13144|doi:10.1002/chem.202102428
DOI: 10.5517/ccdc.csd.cc27y7p4
title: CCDC 2083686: Experimental Crystal Structure Determination

description: Related Article: Georgia Richardson, Iskander Douair, Scott A. Cameron, Laurent Maron, Mathew D. Anker|2021|Chem.-Eur.J.|27|13144|doi:10.1002/chem.202102428
DOI: 10.5517/ccdc.csd.cc27y7q5
title: CCDC 2083687: Experimental Crystal Structure Determination

description: Related Article: Georgia Richardson, Iskander Douair, Scott A. Cameron, Laurent Maron, Mathew D. Anker|2021|Chem.-Eur.J.|27|13144|doi:10.1002/chem.202102428
DOI: 10.5517/ccdc.csd.cc27y7r6
title: CCDC 2083688: Experimental Crystal Structure Determination

description: Related Article: Georgia Richardson, Iskander Douair, Scott A. Cameron, Laurent Maron, Mathew D. Anker|2021|Chem.-Eur.J.|27|13144|doi:10.1002/chem.202102428
DOI: 10.5517/ccdc.csd.cc27y7s7
title: CCDC 2083689: Experimental Crystal Structure Determination

description: Related Article: Michael Popadynec, Alireza Baradaran-Heravi, Benjamin Alford, Scott A. Cameron, Keith Clinch, Jennifer M. Mason, Phillip M. Rendle, Olga V. Zubkova, Zhonghong Gan, Hui Liu, Oscar Rebollo, Dennis M. Whitfield, Fengyang Yan, Michel Roberge, David A. Powell|2021|ACS.Med.Chem.Lett.|12|1486|doi:10.1021/acsmedchemlett.1c00349
DOI: 10.5517/ccdc.csd.cc27y7t8
title: CCDC 2083690: Experimental Crystal Structure Determination

description: Related Article: Michael Popadynec, Alireza Baradaran-Heravi, Benjamin Alford, Scott A. Cameron, Keith Clinch, Jennifer M. Mason, Phillip M. Rendle, Olga V. Zubkova, Zhonghong Gan, Hui Liu, Oscar Rebollo, Dennis M. Whitfield, Fengyang Yan, Michel Roberge, David A. Powell|2021|ACS.Med.Chem.Lett.|12|1486|doi:10.1021/acsmedchemlett.1c00349
DOI: 10.5517/ccdc.csd.cc27y8l2
title: CCDC 2083714: Experimental Crystal Structure Determination

description: Related Article: Ryota Yamaguchi, Rika Tanaka, Mayu Maetani, Hiroyasu Tabe, Yusuke Yamada|2021|CrystEngComm|23|5456|doi:10.1039/D1CE00688F
DOI: 10.5517/ccdc.csd.cc27y8m3
title: CCDC 2083715: Experimental Crystal Structure Determination

description: Related Article: Ryota Yamaguchi, Rika Tanaka, Mayu Maetani, Hiroyasu Tabe, Yusuke Yamada|2021|CrystEngComm|23|5456|doi:10.1039/D1CE00688F
DOI: 10.5517/ccdc.csd.cc27y8n4
title: CCDC 2083716: Experimental Crystal Structure Determination

description: Related Article: Ryota Yamaguchi, Rika Tanaka, Mayu Maetani, Hiroyasu Tabe, Yusuke Yamada|2021|CrystEngComm|23|5456|doi:10.1039/D1CE00688F
DOI: 10.5517/ccdc.csd.cc27y8p5
title: CCDC 2083717: Experimental Crystal Structure Determination

description: Related Article: Ryota Yamaguchi, Rika Tanaka, Mayu Maetani, Hiroyasu Tabe, Yusuke Yamada|2021|CrystEngComm|23|5456|doi:10.1039/D1CE00688F
DOI: 10.5517/ccdc.csd.cc27ygxl
title: CCDC 2083910: Experimental Crystal Structure Determination

description: Related Article: Xinrui Dong, Wenhua Jiang, Dexiang Hua, Xiaohui Wang, Liang Xu, Xiaoxing Wu|2021|Chemical Science|12|11762|doi:10.1039/D1SC03315H
DOI: 10.5517/ccdc.csd.cc27ygzn
title: CCDC 2083912: Experimental Crystal Structure Determination

description: Related Article: Xinrui Dong, Wenhua Jiang, Dexiang Hua, Xiaohui Wang, Liang Xu, Xiaoxing Wu|2021|Chemical Science|12|11762|doi:10.1039/D1SC03315H
DOI: 10.5517/ccdc.csd.cc27yh0q
title: CCDC 2083913: Experimental Crystal Structure Determination

description: Related Article: Xinrui Dong, Wenhua Jiang, Dexiang Hua, Xiaohui Wang, Liang Xu, Xiaoxing Wu|2021|Chemical Science|12|11762|doi:10.1039/D1SC03315H
DOI: 10.5517/ccdc.csd.cc27ygym
title: CCDC 2083911: Experimental Crystal Structure Determination

description: Related Article: Xinrui Dong, Wenhua Jiang, Dexiang Hua, Xiaohui Wang, Liang Xu, Xiaoxing Wu|2021|Chemical Science|12|11762|doi:10.1039/D1SC03315H
DOI: 10.5517/ccdc.csd.cc27zq10
title: CCDC 2085092: Experimental Crystal Structure Determination

description: Related Article: Ryan J. Schwamm, Clara A. Randow, Ahmed Mouchfiq, Matthew J. Evans, Martyn P. Coles, J. Robin Fulton|2021|Eur.J.Inorg.Chem.|2021|3466|doi:10.1002/ejic.202100447
DOI: 10.5517/ccdc.csd.cc27zq54
title: CCDC 2085096: Experimental Crystal Structure Determination

description: Related Article: Ryan J. Schwamm, Clara A. Randow, Ahmed Mouchfiq, Matthew J. Evans, Martyn P. Coles, J. Robin Fulton|2021|Eur.J.Inorg.Chem.|2021|3466|doi:10.1002/ejic.202100447
DOI: 10.5517/ccdc.csd.cc27l769
title: CCDC 2073100: Experimental Crystal Structure Determination

description: Related Article: James D. Grayson, Francesca M. Dennis, Craig C. Robertson, Benjamin M. Partridge|2021|J.Org.Chem.|86|9883|doi:10.1021/acs.joc.1c00976
DOI: 10.6084/m9.figshare.12293189.v1
title: Sample size calculation for “gold-standard” non-inferiority trials with fixed margins and negative binomial endpoints

description: For clinical trials in patients with asthma, chronic obstructive pulmonary disease, and relapsing-remitting multiple sclerosis, regulatory guidelines state that a non-inferiority clinical trial is an option. Aiming at establishing assay sensitivity, a three-arm non-inferiority trial, including an experimental treatment, a reference treatment, and a placebo, the so-called gold-standard non-inferiority trial, is recommended. In addition, in the clinical trials for the above diseases, the number of events per unit time is often used as a primary or key secondary endpoint. There are two issues to be addressed in determining the sample size for gold-standard non-inferiority trials: the hypotheses to be tested for assay sensitivity, and overdispersion of the number of events. To address these two issues, we propose a sample size calculation method for gold-standard non-inferiority trials with two fixed margins and negative binomial endpoints. In a simulation, we show that the proposed hypothesis-testing method achieves the target power, while controlling the type I error rate at a nominal level, and that the sample size calculation method has adequate power accuracy. Moreover, we illustrate an application of our proposed method for a clinical trial of mild asthma.
DOI: 10.5281/zenodo.5590969
title: Dolichallabes microphthalmus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5590968
title: Dolichallabes microphthalmus SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.16802458.v1
title: Backyard Bioblitz Fig Share Final.pdf

description: Backyard Bioblitz of Centennial Park, Milton, ON, 43.513423, -79.88915. Data and Meta-Data
DOI: 10.6084/m9.figshare.16802458
title: Backyard Bioblitz of Centennial Park, Milton, ON. Meta-Data and Data

description: Backyard Bioblitz of Centennial Park, Milton, ON, 43.513423, -79.88915. Data and Meta-Data
DOI: 10.6084/m9.figshare.16802458.v3
title: Backyard Bioblitz of Centennial Park, Milton, ON. Meta-Data and Data

description: Backyard Bioblitz of Centennial Park, Milton, ON, 43.513423, -79.88915. Data and Meta-Data
DOI: 10.6084/m9.figshare.16802458.v2
title: Backyard Bioblitz of Centennial Park, Milton, ON. Meta-Data and Data

description: Backyard Bioblitz of Centennial Park, Milton, ON, 43.513423, -79.88915. Data and Meta-Data
DOI: 10.5517/ccdc.csd.cc28b0h4
title: CCDC 2094995: Experimental Crystal Structure Determination

description: Related Article: Peiyao Pan, Chuanjun Zhou, Hao Li, Chen Zhu, Cheng Chen, Xi Kang, Manzhou Zhu|2021|Nanoscale|13|17162|doi:10.1039/D1NR05123G
DOI: 10.5517/ccdc.csd.cc28c36z
title: CCDC 2096040: Experimental Crystal Structure Determination

description: Related Article: Dan Zheng, Ting-Hong Huang, Cheng Luo, Jing Tang|2022|Inorg.Chim.Acta|529|120639|doi:10.1016/j.ica.2021.120639
DOI: 10.5517/ccdc.csd.cc27n1rq
title: CCDC 2074853: Experimental Crystal Structure Determination

description: Related Article: Xiufeng Wang, Jing Han, Xiaohui Huang, Licun Li|2021|Inorg.Chem.Commun.|134|108983|doi:10.1016/j.inoche.2021.108983
DOI: 10.5517/ccdc.csd.cc28g1d6
title: CCDC 2098867: Experimental Crystal Structure Determination

description: Related Article: Samuel Lauzon, Thierry Ollevier|2021|Chem.Commun.|57|11025|doi:10.1039/D1CC04556C
DOI: 10.5517/ccdc.csd.cc28g24z
title: CCDC 2098890: Experimental Crystal Structure Determination

description: Related Article: Samuel Lauzon, Thierry Ollevier|2021|Chem.Commun.|57|11025|doi:10.1039/D1CC04556C
DOI: 10.5517/ccdc.csd.cc28g676
title: CCDC 2099017: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Douglas Turnbull, Nolan Hahn, René T. Boeré, Stacey D. Wetmore, Michael Gerken|2021|Inorg.Chem.|60|15695|doi:10.1021/acs.inorgchem.1c02380
DOI: 10.5517/ccdc.csd.cc28g687
title: CCDC 2099018: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Douglas Turnbull, Nolan Hahn, René T. Boeré, Stacey D. Wetmore, Michael Gerken|2021|Inorg.Chem.|60|15695|doi:10.1021/acs.inorgchem.1c02380
DOI: 10.5517/ccdc.csd.cc28g698
title: CCDC 2099019: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Douglas Turnbull, Nolan Hahn, René T. Boeré, Stacey D. Wetmore, Michael Gerken|2021|Inorg.Chem.|60|15695|doi:10.1021/acs.inorgchem.1c02380
DOI: 10.5517/ccdc.csd.cc28g6b9
title: CCDC 2099020: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Douglas Turnbull, Nolan Hahn, René T. Boeré, Stacey D. Wetmore, Michael Gerken|2021|Inorg.Chem.|60|15695|doi:10.1021/acs.inorgchem.1c02380
DOI: 10.5517/ccdc.csd.cc28g6cb
title: CCDC 2099021: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Douglas Turnbull, Nolan Hahn, René T. Boeré, Stacey D. Wetmore, Michael Gerken|2021|Inorg.Chem.|60|15695|doi:10.1021/acs.inorgchem.1c02380
DOI: 10.5517/ccdc.csd.cc28gn2h
title: CCDC 2099446: Experimental Crystal Structure Determination

description: Related Article: Ryoga Hojo, Don M. Mayder, Zachary M. Hudson|2021|J.Mater.Chem.C|9|14342|doi:10.1039/D1TC03480D
DOI: 10.5517/ccdc.csd.cc28h4pm
title: CCDC 2099930: Experimental Crystal Structure Determination

description: Related Article: Samuel Lauzon, Thierry Ollevier|2021|Chem.Commun.|57|11025|doi:10.1039/D1CC04556C
DOI: 10.6084/m9.figshare.16842913.v1
title: Source data for "Planar photonic chips with tailored angular transmission for high-contrast-imaging devices"

description: This Source Data file provides the corresponding simulated and experimental data files for the figures in the main text of the paper "Planar photonic chips with tailored angular transmission for high-contrast-imaging devices", including the data within Fig. 1, Fig. 2, Fig. 3, Fig. 4 and Fig. 5.
DOI: 10.25345/c5ds05
title: MassIVE MSV000088251 - GNPS - Nina rubber product trial
title: extract of crumb rubber. submission tiral for MassQL use.
DOI: 10.17632/mvnz46kfwn.1
title: ARID1A depletion

description: Acute depletion of the ARID1A subunit of SWI/SNF complexes
DOI: 10.17632/4zb54wsfxz.1
title: DataS1: A study of MapToCleave: high-throughput profiling of microRNA biogenesis in living cells. Kang et al.

description: Data S1. MapToCleave_library.fasta, Related to STAR methods.
MapToCleave library in fasta format. The ID field provides information on the hairpin name, miRBase identify (if available), whether the hairpin is included in the MapToCleave library and if the hairpin is mirtron. The information is separated by a colon. For example, the id “>hsa-mir-19b-2:MI0000075:in:none” means that the hairpin name is hsa-mir-19b-2, with miRBase ID MI0000075, in the MapToCleave library and the hairpin is not mirtron. The mirtron annotation is from Eric C. Lai lab (Chung et al., 2011; Wen et al., 2015).
DOI: 10.4226/86/5927896772837
title: Young and Well Towns Randomised Controlled Trial Data
DOI: 10.25451/flinders.16545492
title: White sharks exploit the sun during predatory approaches

description: This dataset contains information on the approach characteristics of the white shark (Carcharodon carcharias). Contains one spreadsheet and one .csv file. Dataset includes GLMM Data and Rayleigh test data on shark approach in relation to the Sun.<br><br>GLMM Data includes Shark ID (Shark A-Shark AH, i.e. data on 34 Sharks), sun direction, wind direction, wind strength, swell height and water depth.<br><br>Rayleigh test data includes approach information in relation to the sun in the morning, afternoon, in overcast and sunny weather. Approach in relation to the boat in overcast, sunny and all days. Rayleigh test data includes information on Shark A-Shark G (i.e. data on 7 Sharks).<br><br>Date coverage: 2011-07-06 - 2011-11-21<br>Location: Neptune Islands Group Marine Park, South Australia, Australia
DOI: 10.25451/flinders.16545492.v1
title: White sharks exploit the sun during predatory approaches

description: This dataset contains information on the approach characteristics of the white shark (Carcharodon carcharias). Contains one spreadsheet and one .csv file. Dataset includes GLMM Data and Rayleigh test data on shark approach in relation to the Sun.<br><br>GLMM Data includes Shark ID (Shark A-Shark AH, i.e. data on 34 Sharks), sun direction, wind direction, wind strength, swell height and water depth.<br><br>Rayleigh test data includes approach information in relation to the sun in the morning, afternoon, in overcast and sunny weather. Approach in relation to the boat in overcast, sunny and all days. Rayleigh test data includes information on Shark A-Shark G (i.e. data on 7 Sharks).<br><br>Date coverage: 2011-07-06 - 2011-11-21<br>Location: Neptune Islands Group Marine Park, South Australia, Australia