cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1475368
title: Beast2-Paper Bmodeltest Files

description: beast2-paper.xml BEAST 2 XML file + outputs of 4 runs of the XML file.

beast2-paper/beast2-paper.xml<br>
beast2-paper/run*/yang.log trace log<br>
beast2-paper/run*/yang.trees tree log<br>
beast2-paper/run*/beast2-paper.xml.state BEAST 2 state file
DOI: 10.5281/zenodo.1475369
title: Beast2-Paper Bmodeltest Files

description: beast2-paper.xml BEAST 2 XML file + outputs of 4 runs of the XML file.

beast2-paper/beast2-paper.xml<br>
beast2-paper/run*/yang.log trace log<br>
beast2-paper/run*/yang.trees tree log<br>
beast2-paper/run*/beast2-paper.xml.state BEAST 2 state file
DOI: 10.7910/dvn/tehrtn/4qvzp8
title: 41-5_0225.dcm
DOI: 10.7910/dvn/tehrtn/63tate
title: 41-5_0199.dcm
DOI: 10.7910/dvn/tehrtn/dhhsj3
title: 41-1_0155.dcm
DOI: 10.7910/dvn/tehrtn/ieec2o
title: 41-5_0198.dcm
DOI: 10.7910/dvn/tehrtn/msny9r
title: 41-5_0146.dcm
DOI: 10.7910/dvn/tehrtn/qvgegp
title: 41-1_0243.dcm
DOI: 10.7910/dvn/tehrtn/x12xjp
title: 41-5_0150.dcm
DOI: 10.7910/dvn/tehrtn/y6llam
title: 41-5_0204.dcm
DOI: 10.25502/20181101/1128/bb
title: Genetic Variances and Heritabilities of Early Yellow Maize Population Following Cycles of Improvement for Striga Resistance and Drought Tolerance

description: Drought and Striga are principal constraints to maize (Zea mays L.) production in sub-Saharan Africa. An early yellow maize population, TZE-Y Pop DT STR, which had undergone five cycles of selection for resistance to Striga, followed by three cycles of improvement for drought tolerance, was investigated for yield gains, changes in genetic variance, and interrelationships among traits under drought stress and optimum environments. Two hundred and forty S1 lines comprising 60 each from the base population and subsequent populations from three selection cycles improved for grain yield and drought tolerance were assessed under drought and optimal environments in Nigeria from 2010 to 2012. Genetic improvements in grain yield of 423 and 518 kg ha−1 cycle−1 were achieved under drought stress and optimal environments. Predicted improvements in selection for yield were 348 and 377 kg ha−1 cycle−1 under drought stress and optimum environments, respectively. The highest yield observed in C3 was accompanied by reduced days to silking and anthesis–silking interval, improved plant aspect and ear aspect, and increased plant height and ears per plant across research environments, as well as improved stay-green characteristic under drought. The level of genetic variability for yield and a few other traits were maintained under drought and optimal environments in the population. The presence of residual genetic variability for yield and other assayed traits in C3 indicated that progress could be made from future selection in the population depending on the ability of breeders to identify outstanding genotypes and the precision level of experimentation. Substantial improvement has been made in yield and drought tolerance in C3 of the population.
DOI: 10.5281/zenodo.1475757
title: Econfidence Pre-Test And Post-Test Databases And Supplementary File

description: Databases include pre-test and post-test data gathered in eConfidence pilot study. In eConfidence project two serious games were constructed (one aimed at bullying prevention - School of Empathy and other at safe use of internet - Go Online) and efficiency of games was evaluated. Supplementary file includes descriptions of variables and coding procedures.
DOI: 10.5281/zenodo.1475758
title: Econfidence Pre-Test And Post-Test Databases And Supplementary File

description: Databases include pre-test and post-test data gathered in eConfidence pilot study. In eConfidence project two serious games were constructed (one aimed at bullying prevention - School of Empathy and other at safe use of internet - Go Online) and efficiency of games was evaluated. Supplementary file includes descriptions of variables and coding procedures.
DOI: 10.5281/zenodo.1476465
title: Tree-Covered And Intact Forest Landscapes Bc1000, 1995, 2000, 2005, 2010, 2013, 2016 At 250 M

description: Based on the UNEP historic forest cover map, ESA land cover time series and intact forest landscape (IFL 2000, 2013 and 2016) data. Processing steps are described in detail <strong>here</strong>. Antartica is not included.

All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:


	ldg = theme: land degradation,
	forest.cover = variable: forest / tree cover,
	esacci.ifl = determination method: combination of ESA land cover and IFL maps,
	c = factor,
	250m = spatial resolution / block support: 250 m,
	s0..0cm = vertical reference: land surface,
	1995 = time reference: year 1995,
	v0.1 = version number: 0.1,
description: {"references": ["Potapov, P., Hansen, M.C., Laestadius, L., Turubanova, S., Yaroshenko, A., Thies, C., Smith, W., Zhuravleva, I., Komarova, A., Minnemeyer, S. and Esipova, E., 2017. The last frontiers of wilderness: Tracking loss of intact forest landscapes from 2000 to 2013. Science Advances, 3(1), p.e1600821."]}
DOI: 10.5281/zenodo.1476467
title: Various Australian Wordlist Schemes

description: Compilation of the work of many authors referenced within.

An Excel worksheet compiling and aligning the English glosses (and reference codes) of various 'basic vocabulary' lists for Australian languages. Semantic codes added from http://www.anu.edu.au/linguistics/nash/aust/domains.html

Compare the lexicostatistical wordlist compilation at http://www.anu.edu.au/linguistics/nash/aust/wl.html
description: Could be used in conjunction with Concepticon http://concepticon.clld.org
DOI: 10.7910/dvn/tehrtn/35ttow
title: 41-5_0082.dcm
DOI: 10.7910/dvn/tehrtn/7fys50
title: 41-1_0163.dcm
DOI: 10.7910/dvn/tehrtn/7rl898
title: 41-1_0222.dcm
DOI: 10.7910/dvn/tehrtn/arrztg
title: 41-1_0240.dcm
DOI: 10.7910/dvn/tehrtn/davmdh
title: 41-5_0072.dcm
DOI: 10.7910/dvn/tehrtn/hoafqb
title: 41-1_0010.dcm
DOI: 10.7910/dvn/tehrtn/nkcicn
title: 41-1_0007.dcm
DOI: 10.7910/dvn/tehrtn/nlsq8x
title: 41-5_0097.dcm
DOI: 10.7910/dvn/tehrtn/ptbzav
title: 41-1_0183.dcm
DOI: 10.7910/dvn/tehrtn/pu6nqx
title: 41-1_0191.dcm
DOI: 10.5281/zenodo.1476466
title: Various Australian Wordlist Schemes

description: Compilation of the work of many authors referenced within.

An Excel worksheet compiling and aligning the English glosses (and reference codes) of various 'basic vocabulary' lists for Australian languages. Semantic codes added from http://www.anu.edu.au/linguistics/nash/aust/domains.html

Compare the lexicostatistical wordlist compilation at http://www.anu.edu.au/linguistics/nash/aust/wl.html
description: Could be used in conjunction with Concepticon http://concepticon.clld.org
DOI: 10.7910/dvn/tehrtn/etould
title: 41-5_0211.dcm
DOI: 10.7910/dvn/tehrtn/miutpf
title: 41-5_0096.dcm
DOI: 10.7910/dvn/tehrtn/rwl1jj
title: 41-5_0059.dcm
DOI: 10.7910/dvn/tehrtn/u0i0hz
title: 41-5_0056.dcm
DOI: 10.7910/dvn/tehrtn/vpqdzo
title: 41-1_0178.dcm
DOI: 10.7910/dvn/tehrtn/xujdx1
title: 41-5_0224.dcm
DOI: 10.7910/dvn/tehrtn/ychwkq
title: 41-1_0111.dcm
DOI: 10.7910/dvn/tehrtn/zbp18d
title: 41-5_0048.dcm
DOI: 10.17632/99gbctprp5.1
title: ImplicitExplicitTheoryData2018

description: Implicit / Explicit theory manipulation effect on choice and reactance
DOI: 10.5281/zenodo.1476448
title: Gazenet: End-To-End Eye-Movement Event Detection With Deep Neural Networks

description: This repository contains synthetic eye-movement dataset used to train deep learning based eye-movement event detection algorithm described in Zemblys, R., Niehorster, D.C. & Holmqvist, K. (2018). gazeNet: End-to-end eye-movement event detection with deep neural networks. Behavior research methods, pp 1–25. https://doi.org/10.3758/s13428-018-1133-5

Code used to train a model can be found on github here. Code to generate synthetic eye-movement data can be downloaded from here.
DOI: 10.5281/zenodo.1476449
title: Gazenet: End-To-End Eye-Movement Event Detection With Deep Neural Networks

description: This repository contains synthetic eye-movement dataset used to train deep learning based eye-movement event detection algorithm described in Zemblys, R., Niehorster, D.C. & Holmqvist, K. (2018). gazeNet: End-to-end eye-movement event detection with deep neural networks. Behavior research methods, pp 1–25. https://doi.org/10.3758/s13428-018-1133-5

Code used to train a model can be found on github here. Code to generate synthetic eye-movement data can be downloaded from here.
DOI: 10.7910/dvn/tehrtn/bo7old
title: 41-1_0196.dcm
DOI: 10.7910/dvn/tehrtn/h8m42o
title: 41-5_0060.dcm
DOI: 10.7910/dvn/tehrtn/j3kwoj
title: 41-1_0046.dcm
DOI: 10.7910/dvn/tehrtn/qdve5e
title: 41-1_0230.dcm
DOI: 10.7910/dvn/tehrtn/qpfxoj
title: 41-5_0063.dcm
DOI: 10.7910/dvn/tehrtn/sbzx5h
title: 41-5_0023.dcm
DOI: 10.7910/dvn/tehrtn/snwhih
title: 41-5_0041.dcm
DOI: 10.7910/dvn/tehrtn/ssdfcq
title: 41-5_0249.dcm
DOI: 10.7910/dvn/tehrtn/uikhft
title: 41-5_0242.dcm
DOI: 10.17632/whmbdhg3tr.1
title: Data for: How Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure

description: Data form the survey of citizen preferences for landscape attributes of green infrastructure
DOI: 10.7910/dvn/tehrtn/4xunkq
title: 41-5_0142.dcm
DOI: 10.7910/dvn/tehrtn/7bhsyg
title: 41-5_0039.dcm
DOI: 10.7910/dvn/tehrtn/8tuksj
title: 41-1_0102.dcm
DOI: 10.7910/dvn/tehrtn/9cudte
title: 41-1_0224.dcm
DOI: 10.7910/dvn/tehrtn/czhl26
title: 41-5_0106.dcm
DOI: 10.7910/dvn/tehrtn/f2ghp2
title: 41-1_0083.dcm
DOI: 10.7910/dvn/tehrtn/ge1zht
title: 41-1_0002.dcm
DOI: 10.7910/dvn/tehrtn/vco3t0
title: 41-5_0115.dcm
DOI: 10.7910/dvn/tehrtn/zktpjh
title: 41-1_0225.dcm
DOI: 10.18113/d35m2x
title: Shale Network – Lycoming County Groundwater as of October 2018
DOI: 10.7910/dvn/tehrtn/7bp05s
title: 41-1_0217.dcm
DOI: 10.7910/dvn/tehrtn/cjculr
title: 41-1_0153.dcm
DOI: 10.7910/dvn/tehrtn/e0149h
title: 41-1_0219.dcm
DOI: 10.7910/dvn/tehrtn/fge9z2
title: 41-1_0172.dcm
DOI: 10.7910/dvn/tehrtn/ldbgor
title: 41-5_0057.dcm
DOI: 10.7910/dvn/tehrtn/m645tk
title: 41-1_0064.dcm
DOI: 10.7910/dvn/tehrtn/rahc4i
title: 41-1_0151.dcm
DOI: 10.7910/dvn/tehrtn/rzrjfs
title: 41-1_0089.dcm
DOI: 10.7910/dvn/tehrtn/vhsjim
title: 41-1_0118.dcm
DOI: 10.7910/dvn/tehrtn/5ub81v
title: 41-1_0129.dcm
DOI: 10.7910/dvn/tehrtn/6i2pen
title: 41-1_0114.dcm
DOI: 10.7910/dvn/tehrtn/6kcaza
title: 41-1_0012.dcm
DOI: 10.7910/dvn/tehrtn/ct9fkq
title: 41-1_0229.dcm
DOI: 10.7910/dvn/tehrtn/fzzsha
title: 41-1_0205.dcm
DOI: 10.7910/dvn/tehrtn/l4epcm
title: 41-5_0212.dcm
DOI: 10.7910/dvn/tehrtn/qcogos
title: 41-1_0040.dcm
DOI: 10.7910/dvn/tehrtn/uuzezr
title: 41-5_0192.dcm
DOI: 10.7910/dvn/tehrtn/xplgd7
title: 41-1_0175.dcm
DOI: 10.5281/zenodo.1475798
title: Econfidence School Of Empathy Game Metrics

description: Database includes metrics regarding in-game behaviour in eConfidence <em>School of Empathy </em>game. In supplementary file variable labels and descriptions are provided.
DOI: 10.5281/zenodo.1475799
title: Econfidence School Of Empathy Game Metrics

description: Database includes metrics regarding in-game behaviour in eConfidence <em>School of Empathy </em>game. In supplementary file variable labels and descriptions are provided.
DOI: 10.5281/zenodo.1475905
title: Third Harmonic Generation Images Of The Lacuno-Canalicular Network In Bone Femoral Diaphysis Of Mice From The Bionm1 Project (Space Flight)

description: Data set for 11 samples in 3 groups of Control, Space Flight and Synchro (ground control with space flight housing and feeding conditions). Contains THG images in tif format of 2D mosaic of selected samples and 3D stacks in selected anatomical regions of interest. See readme file for more information.
description: {"references": ["Gerbaix M, Gnyubkin V, Farlay D, Olivier C, Ammann P, Courbon G, et al. One-month spaceflight compromises the bone microstructure, tissue-level mechanical properties, osteocyte survival and lacunae volume in mature mice skeletons. Scientific reports. 2017;7(1):2659. doi:10.1038/s41598-017-03014-2."]}
DOI: 10.5281/zenodo.1475906
title: Third Harmonic Generation Images Of The Lacuno-Canalicular Network In Bone Femoral Diaphysis Of Mice From The Bionm1 Project (Space Flight)

description: Data set for 11 samples in 3 groups of Control, Space Flight and Synchro (ground control with space flight housing and feeding conditions). Contains THG images in tif format of 2D mosaic of selected samples and 3D stacks in selected anatomical regions of interest. See readme file for more information.
description: {"references": ["Gerbaix M, Gnyubkin V, Farlay D, Olivier C, Ammann P, Courbon G, et al. One-month spaceflight compromises the bone microstructure, tissue-level mechanical properties, osteocyte survival and lacunae volume in mature mice skeletons. Scientific reports. 2017;7(1):2659. doi:10.1038/s41598-017-03014-2."]}
DOI: 10.5281/zenodo.1476284
title: Experimental Data For "Dynamic Strain Accumulation: A Triggering Mechanism Of Slow-To-Huge Earthquake"

description: All the data uploaded is for supporting our submission <em>"Strain Accumulation Induced by Dynamic Loading: A Dynamic Triggering of slow-to-huge Earthquake".  </em>The data are listed in separated files which are corresponding to the figures shown the submission.
DOI: 10.5281/zenodo.1476285
title: Experimental Data For "Dynamic Strain Accumulation: A Triggering Mechanism Of Slow-To-Huge Earthquake"

description: All the data uploaded is for supporting our submission <em>"Strain Accumulation Induced by Dynamic Loading: A Dynamic Triggering of slow-to-huge Earthquake".  </em>The data are listed in separated files which are corresponding to the figures shown the submission.
DOI: 10.7910/dvn/tehrtn/7ryudu
title: 41-5_0187.dcm
DOI: 10.7910/dvn/tehrtn/bf6dbh
title: 41-5_0021.dcm
DOI: 10.7910/dvn/tehrtn/j278xv
title: 41-1_0115.dcm
DOI: 10.7910/dvn/tehrtn/n5ruak
title: 41-5_0086.dcm
DOI: 10.7910/dvn/tehrtn/n9onhw
title: 41-5_0170.dcm
DOI: 10.7910/dvn/tehrtn/rbtqm0
title: 41-1_0001.dcm
DOI: 10.7910/dvn/tehrtn/recuom
title: 41-5_0216.dcm
DOI: 10.7910/dvn/tehrtn/yxnsve
title: 41-5_0053.dcm
DOI: 10.17037/data.00000912
title: Retention of adults from fishing communities in an HIV vaccine preparedness study in Masaka, Uganda

description: An anonymised data set of 654 fisherfolk living on the shores of Lake Victoria who were enrolled in an open cohort vaccine preparedness study in Masaka Uganda. They visited the study clinic quarterly to have HIV counselling and testing for a period of two years. At baseline, socio-demographic and HIV risk behaviour data was collected. During follow-up data HIV risk behaviour data was collected every 6 months. Volunteers who did not return for two consecutive visits and those who seroconverted were discontinued from the study.
description: Data was captured using paper-based interviewer administered questionnaires. The study clinic team performed initial data checks on the completed volunteer consents and data collection tools and all queries generated were resolved in real time. The data entered in Microsoft Access was subject to routine checks using a set of pre-determined query checks for consistency and logic. All queries generated were returned to the clinic team and resolved. It was then transferred to Stata 14.0 (Stata Corp, College Station, TX, USA) for analysis.
DOI: 10.17632/9shxsjk4cm.1
title: Data for: An automatic ear base temperature extraction method for top view piglet thermal image

description: This data set includes three part. The first part is the original thermal images (named by "original thermal images") used for the algorithm testing, which is corresponding to the 100 testing IS2 files described in the manuscript. The second part, named by "Result images after processing", are the result images after the proposed algorithm is applied. Where, each image in the "Result images after processing" folder has two red points, which correspond to the points where the ear base temperatures are extracted . The extracted left and right ear base temperatures are listed in the Excel file named by "Ear base temperature extracted manually and by the proposed algorithm". Where, the corresponding ear base temperatures extracted manually are also listed. The error of the temperatures extracted manually and by the proposed algorithm is listed in the Excel file too.
DOI: 10.17632/82j8pz5hkg.1
title: Data for: Refrigerated microbial stability of pitaya (Stenocereus pruinosus) juice inoculated with Listeria innocua and Saccharomyces cerevisiae and processed by high hydrostatic pressure

description: This Excel file covers the raw data for the response surface design tests, the response surface model, the response surface validation; and the storage test to ascertain the possibility of injury cells recovery.
DOI: 10.7910/dvn/l6c4dk/2gkwzq
title: 113-5_0079.dcm
DOI: 10.7910/dvn/l6c4dk/ivwljn
title: 113-5_0242.dcm
DOI: 10.7910/dvn/l6c4dk/krpicc
title: 113-1_0019.dcm
DOI: 10.7910/dvn/l6c4dk/r8t5hy
title: 113-5_0015.dcm
DOI: 10.7910/dvn/l6c4dk/y0jx6g
title: 113-5_0047.dcm
DOI: 10.7910/dvn/l6c4dk/ziooxw
title: 113-5_0181.dcm
DOI: 10.25502/20181101/1228/bb
title: Gains in Grain Yield of Extra-early Maize during Three Breeding Periods under Drought and Rain-fed Conditions

description: Drought and Striga are principal constraints to maize (Zea mays L.) production in sub-Saharan Africa. An early yellow maize population, TZE-Y Pop DT STR, which had undergone five cycles of selection for resistance to Striga, followed by three cycles of improvement for drought tolerance, was investigated for yield gains, changes in genetic variance, and interrelationships among traits under drought stress and optimum environments. Two hundred and forty S1 lines comprising 60 each from the base population and subsequent populations from three selection cycles improved for grain yield and drought tolerance were assessed under drought and optimal environments in Nigeria from 2010 to 2012. Genetic improvements in grain yield of 423 and 518 kg ha−1 cycle−1 were achieved under drought stress and optimal environments. Predicted improvements in selection for yield were 348 and 377 kg ha−1 cycle−1 under drought stress and optimum environments, respectively. The highest yield observed in C3 was accompanied by reduced days to silking and anthesis–silking interval, improved plant aspect and ear aspect, and increased plant height and ears per plant across research environments, as well as improved stay-green characteristic under drought. The level of genetic variability for yield and a few other traits were maintained under drought and optimal environments in the population. The presence of residual genetic variability for yield and other assayed traits in C3 indicated that progress could be made from future selection in the population depending on the ability of breeders to identify outstanding genotypes and the precision level of experimentation. Substantial improvement has been made in yield and drought tolerance in C3 of the population.
DOI: 10.5281/zenodo.1470154
title: A Synthetic Sample Of Short-Cadence Solar-Like Oscillators For Tess

description: These are the simulated lightcurves for a synthetic sample of short-cadence solar-like oscillators as they might be observed by the Transiting Exoplanet Survey Satellite (TESS), as presented by Ball et al. (2018), "A synthetic sample of short-cadence solar-like oscillators for TESS". 

Each zip file contains the FITS lightcurves and mode data for stars observed in one sector, starting in the southern ecliptic hemisphere. The CSV file contains a selection of data contained in the FITS headers.

For more detail, read the paper on arXiv.

Note that the FITS headers incorrectly report the units of the white noise level as \(\mathrm{ppm}\) rather than \(\mathrm{ppm}\cdot\mathrm{hr}^{1/2}\). The white noise level excludes any systematic component, which should be added in quadrature if desired.
DOI: 10.5281/zenodo.1470155
title: A Synthetic Sample Of Short-Cadence Solar-Like Oscillators For Tess

description: These are the simulated lightcurves for a synthetic sample of short-cadence solar-like oscillators as they might be observed by the Transiting Exoplanet Survey Satellite (TESS), as presented by Ball et al. (2018), "A synthetic sample of short-cadence solar-like oscillators for TESS". 

Each zip file contains the FITS lightcurves and mode data for stars observed in one sector, starting in the southern ecliptic hemisphere. The CSV file contains a selection of data contained in the FITS headers.

For more detail, read the paper on arXiv.

Note that the FITS headers incorrectly report the units of the white noise level as \(\mathrm{ppm}\) rather than \(\mathrm{ppm}\cdot\mathrm{hr}^{1/2}\). The white noise level excludes any systematic component, which should be added in quadrature if desired.
DOI: 10.5287/bodleian:j5kpxjjb0
title: Sex peptide receptor-regulated polyandry differentially modulates pre- and post-copulatory sexual selection in Drosophila
DOI: 10.7910/dvn/l6c4dk/0uyj4n
title: 113-1_0043.dcm
DOI: 10.7910/dvn/l6c4dk/2diwdo
title: 113-1_0034.dcm
DOI: 10.7910/dvn/l6c4dk/cg8bks
title: 113-1_0167.dcm
DOI: 10.7910/dvn/l6c4dk/dqu92r
title: 113-5_0236.dcm
DOI: 10.7910/dvn/l6c4dk/gmx5zn
title: 113-1_0039.dcm
DOI: 10.7910/dvn/l6c4dk/pyole6
title: 113-5_0096.dcm
DOI: 10.7910/dvn/l6c4dk/xlssim
title: 113-1_0246.dcm
DOI: 10.7910/dvn/l6c4dk/xm2qac
title: 113-1_0086.dcm
DOI: 10.7910/dvn/l6c4dk/zqbeyv
title: 113-5_0114.dcm
DOI: 10.7910/dvn/l6c4dk/9r4nah
title: 113-5_0215.dcm
DOI: 10.7910/dvn/l6c4dk/ivuvuy
title: 113-5_0216.dcm
DOI: 10.7910/dvn/l6c4dk/l1cnpq
title: 113-5_0133.dcm
DOI: 10.7910/dvn/l6c4dk/lbwvuk
title: 113-1_0066.dcm
DOI: 10.7910/dvn/l6c4dk/lergyn
title: 113-5_0115.dcm
DOI: 10.7910/dvn/l6c4dk/liepnl
title: 113-1_0110.dcm
DOI: 10.7910/dvn/l6c4dk/p8mawl
title: 113-1_0061.dcm
DOI: 10.7910/dvn/l6c4dk/urnuz4
title: 113-1_0055.dcm
DOI: 10.7910/dvn/l6c4dk/z9e6lp
title: 113-5_0103.dcm
DOI: 10.14455/isec.res.2018.63
title: A Conceptual Framework for Identifying Construction Activity Intensity in Harsh Weather Conditions

description: Harsh Weather Conditions (HWC) are environmental hazards that directly affect construction worker's health and safety, with a corresponding negative impact on their productivity. Climate predictions predict worsening scenarios of hot and humid weather conditions extending into regions not previously subject to HWC. The predictions pose a significant potential risk and elements of current practices in the construction industry seriously compromise workers' safety and productivity. HWC have been shown to have impacts on individuals and influence working environments which taken together lead to inhibiting the achievement of practical, safe and productive practices. This research aims to highlight the need to automatically identify the construction activity intensity in HWC, with proposing a conceptual framework of computerized vision analysis (CVA) system. This framework includes construction activity matrices that classify steel, formwork, and concreate work into macro and micro movements, with including the engaged materials, tools, and equipment. This system is expected to help in measuring the impacts of HWC on construction workers' safety and its implications on their productivity by identifying the activity intensity level and worker's idle time at the crew levels.