cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14455/isec.res.2018.144
title: ASSESSING LEVEL OF COMPLIANCE OF OCCUPATIONAL HEALTH AND SAFETY AMONG SMALL AND MEDIUM ENTERPRISES

description: Occupational Health and Safety (OH&S) is the responsibility of everyone at work, construction companies have to be aware that they are responsible for managing and improving issues related to H&S on construction sites. The data in this research was obtained from secondary and primary sources. 70 Questionnaires were dispersed to different companies in the construction industry, 42 were brought back and they were all valid and usable. This represented 60% response rate. The research revealed that the level of implementation was not practice well to the level of acceptance. Therefore, the study went on the assess the hindrance of the poor implementation among small medium enterprise's (SMEs) which were poor supervision, lack of regular audits and inspection, poor material and component, poor management commitment, lack of equipment and tools, lack of training and risk education, lack of communication, lack of skilled workforce, poor working condition, poor subcontractors involvement, lack of incentive for good performance, poor investigation and risk assessment. The research point out that safety and health of the workers is not negotiable, is all pervasive, increases productivity, and leads to better performance, improve the company image, reduced claims and accidents also reduce lost times spent on injuries and property loss. Emphases on the OHS level of implementation are greatly urged to be implemented non-stop to overcome the challenges facing the SME's contractors.
DOI: 10.14455/isec.res.2018.145
title: BIM-BASED APPROACH FOR SEISMIC RISK ANALYSIS

description: The Italian school buildings asset consists of over 40,000 units. The most (more than 60%) were built before the introduction of the national standard on school buildings and constructions in seismic areas. The present research aims to implement a methodology that consists in an informative modelling for seismic risk analysis. The objective of the activity is to provide the policy makers of a useful tool for screening the existing building stock, in order to define the priorities of intervention. The research is divided into several parts. First of all, the most recurrent building technologies have to be defined with respect to the year of construction and the structural characteristics. Furthermore, to assess the seismic risk, the seismic hazard has also to be analyzed. Next, a multiphase process of increasing complexity has to be defined, in which two approaches of seismic analysis are tested. The first one is related to "simple" construction technologies (e.g. frame structures) where information can be collected through visual screening during inspections and through the study of the existing documentation. The second one is a more refined approach that includes non-destructive testing on site and structural analysis. Both procedures lead to the definition of BIM models.
DOI: 10.14455/isec.res.2018.146
title: CHALLENGES FACED BY PUBLIC-PRIVATE PARTNERSHIP IN IMPROVING SERVICE DELIVERY

description: Partnerships, of any kind, come with challenges and obstacles that might be a threat to the success of the vision they have. PPPs are faced with a lot of challenges when it comes to infrastructure delivery in South Africa and across the globe. Hence, the study was conducted to determine the challenges faced by Public Private Partnerships (PPPs) in the South Africa. The data in this paper was obtained from secondary and primary sources. 90 structured questionnaires were distributed to construction stakeholders in the public and private sectors, who were involved in the PPP's projects in South Africa in the Gauteng province. 80 Questionnaires were brought back and were valid for use. The study revealed that: PPPs are inflexible
description: there is limited trust between public and private sector professionals
description: lack of sufficient time to implement PPPs
description: reduced control of public assets
description: conflict of interest between private and public sector
description: public acceptability
description: PPPs are not integrated into sector planning, lack of resources dedicated to fostering PPPs, a policy bias toward traditional public procurement and against PPPs, lack of fiscal imperative to use PPPs and policy on PPP changes with changes in political leadership, etc. The research has revealed that PPPs are lacking at the highest levels of leadership especially at governmental level. Also, PPPs must be favored in general, not in specific circumstances.
DOI: 10.5281/zenodo.2557558
title: Experiments for determination of species of field-collected lab-rared mosquitoes using near-infrared spectroscopy (A1T1)

description: <strong>Experiments for determination of species of field-collected lab-rared mosquitoes using near-infrared spectroscopy (A1T1)</strong>

This dataset contains near-infrared spectroscopy (NIRS) measurements on mosquitoes of different species (<em>Anopheles arabiensis</em>, <em>Anopheles coluzzii</em>, <em>Anopheles gambiae</em>) collected from different locations in Burkina Faso (Dioulassoba, Klesso, Longo) at larval stage, and reared in the lab together with colony mosquitoes of the same species.

For further details on the experimental setup see: P.M. Esperança, A.M. Blagborough, D.F. Da, F.E. Dowell, T.S. Churcher (2018) "Detection of <em>Plasmodium berghei</em> infected <em>Anopheles stephensi</em> using near-infrared spectroscopy". <em>Parasites and Vector</em>, <strong>11</strong>:377. https://doi.org/10.1186/s13071-018-2960-z.

The structure of the data file is as follows:


	column 1 (<strong>Scan_ID</strong>): scan identifier
	column 2 (<strong>Mosquito_ID</strong>): mosquito identifier
	column 3 (<strong>Position</strong>): scanning position identifier (1,2,3,4)
	column 4 (<strong>Location</strong>): collection location ("Dioulassoba", "Klesso", "Longo")
	column 5 (<strong>Generation</strong>): generation type ("Lab", "F0", "F1")
	column 6 (<strong>Species</strong>): mosquitoes species ("arabiensis", "coluzzii", "gambiae")
	columns 7 to 2157 (<strong>x350</strong> to <strong>x2500</strong>): NIRS absorbance measurements for wavelengths in the range 350 to 2500 nanometers
DOI: 10.5281/zenodo.2557559
title: Experiments for determination of species of field-collected lab-rared mosquitoes using near-infrared spectroscopy (A1T1)

description: <strong>Experiments for determination of species of field-collected lab-rared mosquitoes using near-infrared spectroscopy (A1T1)</strong>

This dataset contains near-infrared spectroscopy (NIRS) measurements on mosquitoes of different species (<em>Anopheles arabiensis</em>, <em>Anopheles coluzzii</em>, <em>Anopheles gambiae</em>) collected from different locations in Burkina Faso (Dioulassoba, Klesso, Longo) at larval stage, and reared in the lab together with colony mosquitoes of the same species.

For further details on the experimental setup see: P.M. Esperança, A.M. Blagborough, D.F. Da, F.E. Dowell, T.S. Churcher (2018) "Detection of <em>Plasmodium berghei</em> infected <em>Anopheles stephensi</em> using near-infrared spectroscopy". <em>Parasites and Vector</em>, <strong>11</strong>:377. https://doi.org/10.1186/s13071-018-2960-z.

The structure of the data file is as follows:


	column 1 (<strong>Scan_ID</strong>): scan identifier
	column 2 (<strong>Mosquito_ID</strong>): mosquito identifier
	column 3 (<strong>Position</strong>): scanning position identifier (1,2,3,4)
	column 4 (<strong>Location</strong>): collection location ("Dioulassoba", "Klesso", "Longo")
	column 5 (<strong>Generation</strong>): generation type ("Lab", "F0", "F1")
	column 6 (<strong>Species</strong>): mosquitoes species ("arabiensis", "coluzzii", "gambiae")
	columns 7 to 2157 (<strong>x350</strong> to <strong>x2500</strong>): NIRS absorbance measurements for wavelengths in the range 350 to 2500 nanometers
DOI: 10.5517/ccdc.csd.cc213gvh
title: CCDC 1880176: Experimental Crystal Structure Determination

description: Related Article: Kuduva R. Vignesh, Dimitris I. Alexandropoulos, Brian S. Dolinar, Kim R. Dunbar|2019|Dalton Trans.|48|2872|doi:10.1039/C9DT00324J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.14455/isec.res.2018.147
title: IMPORTATION OF RELATIONAL PROJECT DELIVERY AGREEMENTS EXPLOITING THE BIM APPROACH IN LEGISLATION

description: The research proposes an overview of the importation of a Relational Project Delivery Agreement (RPDA) in Italian legislation and the related issues. The AEC sector fragmentation, caused by an increase of building complexity and a change in the industry structure, is demanding a collaborative approach to the project to allow the possibility of a holistic vision based on a BIM approach. This work provides an overview of RPDAs applications on different contexts, highlighting benefits and issues related, including litigation resolution processes. A special focus has been kept in an Italian context, where the stagnant construction market needs to be revolutionized, and better interactions among stakeholders are required. The research imports and adapts an alliance agreement, FAC-1 (Framework Alliance Contract), on Italian framework, tailoring the most important features of the model to the Italian legislation. The goal of this work is providing a methodology to validate a standard form of contract, aiming at an added value to construction sector. Further developments consist in guidelines for contract management and evaluation of the project behavior during different phases of the process.
DOI: 10.5287/bodleian:gogwqbprp
title: J Appl Physiol, Al-Shammari et. al. supplementary material
DOI: 10.5281/zenodo.2560055
title: VAMDC extraction with identifier = 1ae3bd31-9182-44d2-84bf-2212b88ab7d6

description: This is a dataset extracted from http://vald.astro.uu.se/atoms-12.07/tap/ VAMDC node.Query originating this dataset: query=select species;  Data source version: 2018-04-04Data format: XSAMS 12.07Query uuid in VAMDC query store: 1ae3bd31-9182-44d2-84bf-2212b88ab7d6
description: {"references": ["N.N. (2018)."]}
DOI: 10.5281/zenodo.2560056
title: VAMDC extraction with identifier = 1ae3bd31-9182-44d2-84bf-2212b88ab7d6

description: This is a dataset extracted from http://vald.astro.uu.se/atoms-12.07/tap/ VAMDC node.Query originating this dataset: query=select species;  Data source version: 2018-04-04Data format: XSAMS 12.07Query uuid in VAMDC query store: 1ae3bd31-9182-44d2-84bf-2212b88ab7d6
description: {"references": ["N.N. (2018)."]}
DOI: 10.15132/10000145
title: Chemical composition of different light petroleum distillates (LPD)

description: Lighter fuel samples from five different commercial sources were purchased. Samples of 10, 25, 50, 75, 90, and 95% evaporated product were prepared, resulting in 40 samples in total which were analyzed using gas chromatography–mass spectrometry.
DOI: 10.17632/4s247nh98t.1
title: Data for: Toward energy saving and high efficiency through an optimized use of a PET coarse filter: The development of a new electrostatically assisted air filter

description: This supporting information (6 pages) includes 4 figures and 2 tables.
DOI: 10.17632/vm6gss9fvc.1
title: Data for: Piloting a new prosociality paradigm in dogs and wolves: the location choice task.

description: Raw data associated with the location choice task of Dale, Despraz et al
DOI: 10.5258/soton/d0538
title: Dielectric Holograms dataset

description: Dataset for "All-dielectric Free-electron-driven Holographic Light Sources" Appl. Phys. Lett. 113, 241902 (2018)  DOI:10.1063/1.5048503
DOI: 10.25919/5c5d014583f3b
title: Princess Charlotte Bay 2015-2017 biogeochemistry case study archive

description: Data archive of case study in Princess Charlotte Bay, which includes bathymetric, hydrological, chemical and biological data. Datasets include time series from moorings, anchor stations and glider deployments as well as continuous data, discrete samples and water-column profiles collected during spatial surveys.
DOI: 10.5281/zenodo.2556679
title: UNICITY: A depth maps database for people detection in security airlocks

description: <strong>UNICITY: A depth maps database for people detection in security airlocks.</strong>

UNICITY consists of 58k images collected from 65 recorded sequences with one or two people performing different behaviors including attacks and trickeries, like for instance tailgating (when a person walks very close to another to get into a restricted area). It also provides full annotation of people such as the location of head and shoulders. As as result, UNICITY is perfectly suited for training and adapting machine learning algorithms for video surveillance applications.

<strong>Main Features:</strong>


	UNICITY consists of 58k images using two depth sensors.
	65 recorded sequences with one or two people performing different behaviors such as attacks and tailgating.
	UNICITY also provides code for evaluation and visualization, and full annotation of people such as the location of head and shoulders.
	This new dataset is perfectly suited for training and adapting machine learning algorithms for video surveillance applications.


<strong>Citation</strong>:

Please cite the following paper if you use the UNICITY dataset in your work (papers, articles, reports, books, software, etc):


	UNICITY: A depth maps database for people detection in security airlocks. J. Dumoulin, O. Canevet, M. Villamizar, H. Nunes, O.A. Khaled, E. Mugellini, F. Moscheni, and J.M Odobez. International Conference on Advanced Video and Signal-based Surveillance Workshop (AVSSW). November 2018.


<strong>Contributors:</strong>


	Joël Dumoulin, HumanTech Institute, HES-SO Fribourg, Switzerland.
	Olivier Canévet, Idiap Research Institute, Martigny, Switzerland.
	Michael Villamizar, Idiap Research Institute, Martigny, Switzerland.
	Hugo Nunes, Fastcom Technology SA, Lausanne, Switzerland.
	Omar Abou Khaled, HumanTech Institute, HES-SO Fribourg, Switzerland.
	Elena Mugellini, HumanTech Institute, HES-SO Fribourg, Switzerland.
	Fabrice Moscheni, Fastcom Technology SA, Lausanne, Switzerland.
	Jean-Marc Odobez, Idiap Research Institute, Martigny, Switzerland.


<strong>Acknowledgement:</strong>

The work was supported by Innosuisse, the Swiss innovation agency, through the UNICITY (3D scene understanding through machine learning to secure entrance zones) project.

<strong>Links:</strong>

Next links contain additional information about the dataset:


	Innosuisse UNICITY project: [link]
	Paper describing the dataset: [link]
	Video presenting the dataset: [link]
	Paper using the dataset for counting people and detecting intrusions: [link]
	
		WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems.<br>
		M. Villamizar, A. Martinez-Gonzalez, O. Canevet and J-M. Odobez.<br>
		International Conference on Advanced Video and Signal-based Surveillance (AVSS) - 2018.
	
	


<strong>Contact</strong>:

For any questions, please contact:


	Michael Villamizar, Idiap Research Institute, Martigny -Switzerland
DOI: 10.15121/1493620
title: kISMET Core Photos and Descriptions

description: These core photos and descriptions were taken from the five boreholes that were drilled as part of the kISMET SubTER project conducted at the Sanford Underground Research Facility (SURF) in Lead, SD. The boreholes are subvertical in orientation, and were drilled on the 4850 level of SURF on the West Drift, about 450 feet from Governor's Corner. The well heads for the five wells are in a line, but the outer two wells (k001 and k005) were deviated to form a five-spot configuration at 50 m depth. Four of the five boreholes have a nominal depth of 50 m and have HQ core - the fifth, located in the center (k003) was drilled to a depth of 100m and has NQ core. The central borehole was used for stress and hydraulic fracturing - the other four boreholes were used for monitoring purposes. Core logging was conducted by Paul Cook (LBNL), Bill Roggenthen (SDSMT), and Drew Siler (LBNL). All core consists of rocks from the Poorman Formation. Some of the core photos are missing. These have been documented in the included spreadsheets labeled with the well name and the word missing. The locations of the boreholes are documented on the included map and spreadsheet.
DOI: 10.15132/10000146
title: Chemical composition of different sources of petrol

description: Petrol samples were collected directly from nine different public fuelling stations in Glasgow, Scotland. Samples of 10, 25, 50, 75, 90, and 95% evaporated product were prepared, resulting in 63 samples in total which were analyzed using gas chromatography–mass spectrometry.
DOI: 10.5281/zenodo.2556678
title: UNICITY: A depth maps database for people detection in security airlocks

description: <strong>UNICITY: A depth maps database for people detection in security airlocks.</strong>

UNICITY consists of 58k images collected from 65 recorded sequences with one or two people performing different behaviors including attacks and trickeries, like for instance tailgating (when a person walks very close to another to get into a restricted area). It also provides full annotation of people such as the location of head and shoulders. As as result, UNICITY is perfectly suited for training and adapting machine learning algorithms for video surveillance applications.

<strong>Main Features:</strong>


	UNICITY consists of 58k images using two depth sensors.
	65 recorded sequences with one or two people performing different behaviors such as attacks and tailgating.
	UNICITY also provides code for evaluation and visualization, and full annotation of people such as the location of head and shoulders.
	This new dataset is perfectly suited for training and adapting machine learning algorithms for video surveillance applications.


<strong>Citation</strong>:

Please cite the following paper if you use the UNICITY dataset in your work (papers, articles, reports, books, software, etc):


	UNICITY: A depth maps database for people detection in security airlocks. J. Dumoulin, O. Canevet, M. Villamizar, H. Nunes, O.A. Khaled, E. Mugellini, F. Moscheni, and J.M Odobez. International Conference on Advanced Video and Signal-based Surveillance Workshop (AVSSW). November 2018.


<strong>Contributors:</strong>


	Joël Dumoulin, HumanTech Institute, HES-SO Fribourg, Switzerland.
	Olivier Canévet, Idiap Research Institute, Martigny, Switzerland.
	Michael Villamizar, Idiap Research Institute, Martigny, Switzerland.
	Hugo Nunes, Fastcom Technology SA, Lausanne, Switzerland.
	Omar Abou Khaled, HumanTech Institute, HES-SO Fribourg, Switzerland.
	Elena Mugellini, HumanTech Institute, HES-SO Fribourg, Switzerland.
	Fabrice Moscheni, Fastcom Technology SA, Lausanne, Switzerland.
	Jean-Marc Odobez, Idiap Research Institute, Martigny, Switzerland.


<strong>Acknowledgement:</strong>

The work was supported by Innosuisse, the Swiss innovation agency, through the UNICITY (3D scene understanding through machine learning to secure entrance zones) project.

<strong>Links:</strong>

Next links contain additional information about the dataset:


	Innosuisse UNICITY project: [link]
	Paper describing the dataset: [link]
	Video presenting the dataset: [link]
	Paper using the dataset for counting people and detecting intrusions: [link]
	
		WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems.<br>
		M. Villamizar, A. Martinez-Gonzalez, O. Canevet and J-M. Odobez.<br>
		International Conference on Advanced Video and Signal-based Surveillance (AVSS) - 2018.
	
	


<strong>Contact</strong>:

For any questions, please contact:


	Michael Villamizar, Idiap Research Institute, Martigny -Switzerland
DOI: 10.15121/1493741
title: Nevada Play Fairway - Crescent Valley Geodatabase and Modeling Data

description: This package contains data and metadata for 2-meter temperature probe survey, gravity, slip dilation, XRD analyses, play fairway modeling, and ArcGIS geodatabase resources. This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. systems with no surface hot springs or fumaroles) and thereby accelerating geothermal development in this promising region.
DOI: 10.15121/1493742
title: Nevada Play Fairway - Gabbs Valley Geodatabase and Modeling Data

description: This package contains data and metadata for 2-meter temperature probe survey, gravity, slip dilation, play fairway modeling, and ArcGIS geodatabase resources. This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. systems with no surface hot springs or fumaroles) and thereby accelerating geothermal development in this promising region.
DOI: 10.15121/1493743
title: Nevada Play Fairway - Steptoe Valley Geodatabase and Modeling Data

description: This package contains data and metadata for the 3d thermal model, well lithology logs, gravity grids and depth to basement inversions, play fairway modelling, and ArcGIS geodatabase resources. This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. systems with no surface hot springs or fumaroles) and thereby accelerating geothermal development in this promising region.
DOI: 10.15121/1493744
title: Nevada Play Fairway - Sou Hills Geodatabase and Modeling Data

description: This package contains data and metadata for 2-meter temperature probe survey, gravity, LiDAR, slip dilation, well headers, play fairway modelling, and ArcGIS geodatabase resources. This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. systems with no surface hot springs or fumaroles) and thereby accelerating geothermal development in this promising region.
DOI: 10.15121/1493756
title: Gravity Data from Cove Fort and Dog Valley, Utah Play Fairway Analysis

description: This is a zipped archive containing an ArcGIS shapefile and a text file containing gravity data covering the Cove Fort and Dog Valley areas in central Utah. Part of the data was acquired by the Utah Geological Survey and part came from PACES (University of Texas El Paso). The attribute fields in the datasets are included in the README file below. *A 2.67 g/cm^3 reduction density was used for the Bouguer correction.
DOI: 10.15121/1493758
title: Eastern Great Basin Geothermal Play Fairway Analysis Report

description: This is the final report for the second phase of geological, geophysical, and geochemical data collection and processing for the Eastern Great Basin Geothermal Play Fairway Analysis project.
DOI: 10.15121/1493765
title: Utah FORGE: Pressure Temperature Logs from Blundell Well 71-10, Beaver County

description: This archive contains an Excel spreadsheet with pressure and temperature logs from PacifiCorp well 71-10. This well is in the Blundell Power Plant geothermal well field near Roosevelt Hot Springs, Beaver County, Utah. The spreadsheet also contains UTM coordinates for the location of the well.