cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3847494.v1
title: BMC interprofessional agreement data (raw).xlsx

description: This file contains the outcomes from two parallel electronic surveys to CPs and GPs in Slovakia addressed to identify the key factors about their current teamwork. The results found in this file represent each participants answers to questions about: teamwork experience, attitudes to collaborative practice, preferred method of communication, preferred tasks done by CPs, anticipated areas of future collaboration and perceived barriers to collaborative practice. Ethical approval No. 5/2016 was granted by the Ethics Committee for biomedical research, Faculty of Pharmacy, Comenius University in Bratislava, Slovakia.
DOI: 10.7910/dvn/v1rjpf/3d4mu5
title: mea20160321_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/gqouah
title: mea20150610_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/yevxou
title: mea20150729_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/etv9l5
title: mea20150827_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/zfeg3o
title: mea20161201_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847218
title: Supplementary Material for: eEduHeart I: A Multicenter, Randomized, Controlled Trial Investigating the Effectiveness of a Cardiac Web-Based eLearning Platform - Rationale and Study Design

description: <b><i>Objectives:</i></b> Cardiac telerehabilitation includes, in its most comprehensive format, telemonitoring, telecoaching, social interaction, and eLearning. The specific role of eLearning, however, was seldom assessed. The aim of eEduHeart I is to investigate the medium-term effectiveness of the addition of a cardiac web-based eLearing platform to conventional cardiac care. <b><i>Methods:</i></b> In this prospective, multicenter randomized, controlled trial, 1,000 patients with coronary artery disease will be randomized 1:1 to an intervention group (receiving 1-month unrestricted access to the cardiac eLearning platform in addition to conventional cardiac care) or to conventional cardiac care alone. The primary endpoint is health-related quality of life, assessed by the HeartQoL questionnaire at the 1- and 3-month follow-ups. Secondary endpoints include pathology-specific knowledge and self-reported eLearning platform user experience. Data on the eLearning platform usage will be gathered through web logging during the study period. <b><i>Results:</i></b> eEduHeart I will be one of the first studies to report on the added value of eLearning. <b><i>Conclusions:</i></b> If the intervention is proven effective, current cardiac telerehabilitation programs can be augmented by including eLearning, too. The platform can then be used as a model for other chronic diseases in which patient education plays a key role.
DOI: 10.6084/m9.figshare.3847101
title: The Neotropical tanyderid Araucoderus gloriosus (Alexander) (Diptera, Tanyderidae), with description of the egg, larva and pupa, redescription of adults, and notes on natural history

description: 1. <i>Araucoderus gloriosus</i> (Alexander) (Diptera, Tanyderidae), description of the egg, larva and pupa, redescription of adults, and notes on natural history
DOI: 10.6084/m9.figshare.3847218.v1
title: Supplementary Material for: eEduHeart I: A Multicenter, Randomized, Controlled Trial Investigating the Effectiveness of a Cardiac Web-Based eLearning Platform - Rationale and Study Design

description: <b><i>Objectives:</i></b> Cardiac telerehabilitation includes, in its most comprehensive format, telemonitoring, telecoaching, social interaction, and eLearning. The specific role of eLearning, however, was seldom assessed. The aim of eEduHeart I is to investigate the medium-term effectiveness of the addition of a cardiac web-based eLearing platform to conventional cardiac care. <b><i>Methods:</i></b> In this prospective, multicenter randomized, controlled trial, 1,000 patients with coronary artery disease will be randomized 1:1 to an intervention group (receiving 1-month unrestricted access to the cardiac eLearning platform in addition to conventional cardiac care) or to conventional cardiac care alone. The primary endpoint is health-related quality of life, assessed by the HeartQoL questionnaire at the 1- and 3-month follow-ups. Secondary endpoints include pathology-specific knowledge and self-reported eLearning platform user experience. Data on the eLearning platform usage will be gathered through web logging during the study period. <b><i>Results:</i></b> eEduHeart I will be one of the first studies to report on the added value of eLearning. <b><i>Conclusions:</i></b> If the intervention is proven effective, current cardiac telerehabilitation programs can be augmented by including eLearning, too. The platform can then be used as a model for other chronic diseases in which patient education plays a key role.
DOI: 10.7910/dvn/v1rjpf/c74qha
title: mea20160204_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847101.v2
title: The Neotropical tanyderid Araucoderus gloriosus (Alexander) (Diptera, Tanyderidae), with description of the egg, larva and pupa, redescription of adults, and notes on natural history

description: 1. <i>Araucoderus gloriosus</i> (Alexander) (Diptera, Tanyderidae), description of the egg, larva and pupa, redescription of adults, and notes on natural history
DOI: 10.7910/dvn/v1rjpf/82ittf
title: mea20150930_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847101.v1
title: 2. The Neotropical tanyderid Araucoderus gloriosus (Alexander) (Diptera, Tanyderidae), with description of the egg, larva and pupa, redescription of adults, and notes on natural history

description: 1. <i>Araucoderus gloriosus</i> (Alexander) (Diptera, Tanyderidae), description of the egg, larva and pupa, redescription of adults, and notes on natural history
DOI: 10.6084/m9.figshare.3847086
title: Phase Transfer Entropy in Matlab

description: Script to compute phase transfer entropy (PTE) in Matlab. <br>This function is free software, distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.It is designed and distributed for research purposes only. The authors accept no responsibility for its use.
DOI: 10.7910/dvn/v1rjpf/sd86e5
title: mea20151014_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/v7bznw
title: mea20150726_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/f9vxqt
title: mea20150411_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847086.v3
title: Phase Transfer Entropy

description: Script to compute phase transfer entropy in Matlab
DOI: 10.7910/dvn/v1rjpf/oe5smv
title: mea20150803_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/jfsfpk
title: mea20161214_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/ymlpdy
title: mea20160103_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847086.v5
title: Phase Transfer Entropy

description: Script to compute phase transfer entropy (dPTE) in Matlab. <br>This function is free software, distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.It is designed and distributed for research purposes only. The authors accept no responsibility for its use.
DOI: 10.7910/dvn/v1rjpf/hbp1kc
title: mea20160819_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847086.v6
title: Phase Transfer Entropy

description: Script to compute phase transfer entropy (dPTE) in Matlab. <br>This function is free software, distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.It is designed and distributed for research purposes only. The authors accept no responsibility for its use.
DOI: 10.7910/dvn/v1rjpf/tjwypy
title: mea20150601_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847086.v7
title: Phase Transfer Entropy

description: Script to compute phase transfer entropy (dPTE) in Matlab. <br>This function is free software, distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.It is designed and distributed for research purposes only. The authors accept no responsibility for its use.
DOI: 10.7910/dvn/v1rjpf/1s8jij
title: mea20160614_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847086.v8
title: Phase Transfer Entropy

description: Script to compute phase transfer entropy (dPTE) in Matlab. <br>This function is free software, distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.It is designed and distributed for research purposes only. The authors accept no responsibility for its use.
DOI: 10.7910/dvn/v1rjpf/ryxnjt
title: mea20161226_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/mgum76
title: mea20150903_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/xqze33
title: mea20150918_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3847086.v11
title: Phase Transfer Entropy in Matlab

description: Script to compute phase transfer entropy (PTE) in Matlab. <br>This function is free software, distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.It is designed and distributed for research purposes only. The authors accept no responsibility for its use.
DOI: 10.7910/dvn/v1rjpf/i5c2lr
title: mea20160708_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/prmddj
title: mea20150709_03.txt.gz

description: :unav
DOI: 10.25390/caryinstitute.11801052.v10
title: Cary Institute Environmental Monitoring Program Current Year Data 2020

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.7910/dvn/v1rjpf/ibhso4
title: mea20150224_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/xrkroi
title: mea20160106_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/yf979n
title: mea20160526_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/i560zt
title: mea20151109_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/9nsoik
title: mea20150116_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/1sypbr
title: mea20150511_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/zdyzch
title: mea20160527_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/d7iccw
title: mea20160210_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/cxpoqd
title: mea20150117_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/ehkyjk
title: mea20160726_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846984
title: Meta-Data of Mining Software Repositories (MSR) conference Papers from 2004 to 2016

description: The <b>Mining Software Repositories (MSR) conference</b> is an annual conference started as a one-day workshop in the year 2004 (co-located with International Conference on Software Engineering ICSE 2004 at Edinburgh, UK) with the aim of brining software analytics researchers and practitioners from both university and industry around the world to exchange research results and ideas. MSR 2004 (Edinburgh, UK) was the first edition of the event and the annual event completes 13 editions in 2016 (Texas, USA). The dataset contains meta-data about 13 years of MSR papers. A paper titled "Thirteen Years of Mining Software Repositories (MSR) Conference - What is the Bibliography Data Telling Us?" by Lov Kumar and Ashish Sureka is published on Arxiv. The link the paper is https://arxiv.org/abs/1609.06266
DOI: 10.6084/m9.figshare.3846987
title: Woodlot Dataset 3 Techniques and Data

description: META DATA Methods: The distance of one tree to another and the tree’s diameter was measured with a transect measuring tape in metres. Only ten pairs of adult trees were used in the experiment and random sampling was conducted. Random sampling was conducted in order to avoid any bias within the sample as some areas in the forest may get more nutrients than other areas hence, affecting the data collected. Adult trees : Can be described as having a thick trunk and elongated branches. The amount and size of leaves on adult trees are typically abundant. Diameter at breast height: This is the diameter of the tree relative to the researcher’s breast height measured in metres. The height of the researcher’s distance at breast height is approximately 1.25 m. Note: Diameter at breast height was also notated as DBH. Condition: The condition of a tree was determined through the characteristics of its trunk and the colour of its leaves. They were given a score out of 2 depending on their condition. If the trunk was very crooked it was given a low score of 0 and if it was straight it was given a 2. The tree was given a score of 2 based on the abundance of green canopy the tree was covering, and if it showed dry, brittle leaves it was given a score of 0. Any mixture of the conditions between tree trunk and leaf colour were given a score of 1. Site Description: Data was collected at the Danby Woodlot of York University Keele Campus on September 21, 2016 at 4:20 pm. The site was shaded with little sunlight peeking through. There was little to no wind. The temperature was approximately 25 degrees Celsius. Data collected was obtained on a data sheet with results as displayed. Other experiments by other groups were being conducted at the same time. Hypothesis: The greater the distance of the first tree to the second tree will cause the condition of a tree to be better due to the lack of competition of resources within the area for sunlight and space. The greater the diameter of the tree trunk, the better the condition of the tree due to the amount of nutrients that the tree might be receiving compared to a tree with a slender trunk. Prediction 1: Trees that are farther from one another will have better growing conditions. Prediction 2: Trees that have wider trunks are in better condition than those with slender trunks.
DOI: 10.7910/dvn/v1rjpf/v6w9jf
title: mea20150518_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846984.v1
title: Meta-Data of Mining Software Repositories (MSR) conference Papers from 2004 to 2016

description: The <b>Mining Software Repositories (MSR) conference</b> is an annual conference started as a one-day workshop in the year 2004 (co-located with International Conference on Software Engineering ICSE 2004 at Edinburgh, UK) with the aim of brining software analytics researchers and practitioners from both university and industry around the world to exchange research results and ideas. MSR 2004 (Edinburgh, UK) was the first edition of the event and the annual event completes 13 editions in 2016 (Texas, USA). The dataset contains meta-data about 13 years of MSR papers. A paper titled "Thirteen Years of Mining Software Repositories (MSR) Conference - What is the Bibliography Data Telling Us?" by Lov Kumar and Ashish Sureka is published on Arxiv. The link the paper is https://arxiv.org/abs/1609.06266
DOI: 10.7910/dvn/v1rjpf/1kq44x
title: mea20160807_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/uxjhpj
title: mea20160624_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/zkkjfn
title: mea20151105_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/nyyaak
title: mea20160517_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/gbuil3
title: mea20150630_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846969
title: Methodology 2016.docx

description: Although this is an <em>all-volunteer, citizen science project</em>, we want to keep the methodology as scientifically current and accurate as possible, while still keeping within the scope and means of a citizen science project. So, here is a summary of the databases and methods used in this long-term (5-10 year) populations dynamics study of the Sevengill Shark (<em>Notorynchus cepedianus</em>).<strong>Note</strong>: We are <em>not</em> set up for shark tagging, which is both expensive as well as labor intensive and usually requires boats, crew and an affiliation with a marine research institution and grant money to operate.1. <strong>Database #1</strong>: Photographic Database: we have over 100 photographs, of varying quality, from poor to outstanding, taken over the past 4 years by local divers of Sevengills in the San Diego area. It is the best of these photographs we plan to run through the<em>pattern recognition algorithm</em> to identify individual Sevengill sharks through the <em>freckling pattern</em>commonly seen on their front and dorsal sides, much as biologist Brad Norman did a few years ago to identify individual Whale sharks via the star-like patterns on their dorsal sides.2. <strong>Database #2</strong>: Video Database: the video database of over 70, <em>mostly high definition</em>, high quality videos, also taken be local divers, will be used also, to aid in determining <em>gender and behavioral patterns observed, as well as bite marks and scratches,</em> etc. They also will be subjected to the pattern recognition algorithm.3. <strong>Pattern Recognition Algorithm</strong>: we are currently using <strong>Wildbook,</strong> which uses two sophisticated <em>pattern recognition algorithms</em>, <strong>IS3 and SPOT</strong> (1), similar to the one used by Brad Norman to identify the star patterns on <strong>Whale Sharks</strong> (2) (3) to identify individual<strong>Sevengill</strong> sharks via the unique freckling pattern that can be seen on their front and dorsal sides. In this way, we will hope, over time, to identify which sharks are returning from year to year.1) http://www.wildme.org/wildbook/doku.php?id=start],2) http://www.esajournals.org/doi/abs/10.1890/07-0315.13) http://whaleshark.org/<strong>Summary:</strong><br>This is a<em> long-term</em> (5-10 year) long <em>population dynamics study</em> which will endeavor to establish a <em>baseline study</em> of Sevengill sharks in the San Diego area, using the methodology described above. We also have PI (Principle Investigator) for the project, to supervise the scientific work.
DOI: 10.7910/dvn/v1rjpf/xeauo0
title: mea20150714_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846963
title: Dataset 1: Danloy Grasslands

description: Data was collected at the Danloy Grasslands at the York University Keele campus. It was collected by throwing a 1m by 1m quadrant onto a patch of grassland in a random location 20 times, and observing the various types of vegetation in the quadrant and quantifying it. The richness of species in each quadrant were counted, the amount of individuals of each species present in the quadrant were counted, the total percentage the vegetation covered in the quadrant was recorded, and the percentage of grass observed in the quadrant was recorded.<br>Hypothesis: A greater abundance of species in a given area or quadrant will reduce the percent cover of grass in that quadrant. This is because more individuals of different species compete with other species for resources such as sun exposure, resulting in growth and reproduction and therefore less room on the grassland floor for grass to grow.<br>Predictions: It is expected that a high percent of total cover will result in a high value of abundance of species.It is expected that a high value of richness of species will result in a high value of abundance of species.It is expected that a low percent of grass cover will result in a high value of abundance of species.
DOI: 10.6084/m9.figshare.3846969.v1
title: Methodology 2016.docx

description: Although this is an <em>all-volunteer, citizen science project</em>, we want to keep the methodology as scientifically current and accurate as possible, while still keeping within the scope and means of a citizen science project. So, here is a summary of the databases and methods used in this long-term (5-10 year) populations dynamics study of the Sevengill Shark (<em>Notorynchus cepedianus</em>).<strong>Note</strong>: We are <em>not</em> set up for shark tagging, which is both expensive as well as labor intensive and usually requires boats, crew and an affiliation with a marine research institution and grant money to operate.1. <strong>Database #1</strong>: Photographic Database: we have over 100 photographs, of varying quality, from poor to outstanding, taken over the past 4 years by local divers of Sevengills in the San Diego area. It is the best of these photographs we plan to run through the<em>pattern recognition algorithm</em> to identify individual Sevengill sharks through the <em>freckling pattern</em>commonly seen on their front and dorsal sides, much as biologist Brad Norman did a few years ago to identify individual Whale sharks via the star-like patterns on their dorsal sides.2. <strong>Database #2</strong>: Video Database: the video database of over 70, <em>mostly high definition</em>, high quality videos, also taken be local divers, will be used also, to aid in determining <em>gender and behavioral patterns observed, as well as bite marks and scratches,</em> etc. They also will be subjected to the pattern recognition algorithm.3. <strong>Pattern Recognition Algorithm</strong>: we are currently using <strong>Wildbook,</strong> which uses two sophisticated <em>pattern recognition algorithms</em>, <strong>IS3 and SPOT</strong> (1), similar to the one used by Brad Norman to identify the star patterns on <strong>Whale Sharks</strong> (2) (3) to identify individual<strong>Sevengill</strong> sharks via the unique freckling pattern that can be seen on their front and dorsal sides. In this way, we will hope, over time, to identify which sharks are returning from year to year.1) http://www.wildme.org/wildbook/doku.php?id=start],2) http://www.esajournals.org/doi/abs/10.1890/07-0315.13) http://whaleshark.org/<strong>Summary:</strong><br>This is a<em> long-term</em> (5-10 year) long <em>population dynamics study</em> which will endeavor to establish a <em>baseline study</em> of Sevengill sharks in the San Diego area, using the methodology described above. We also have PI (Principle Investigator) for the project, to supervise the scientific work.
DOI: 10.7910/dvn/v1rjpf/gnatvs
title: mea20160313_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/6fa8su
title: mea20150521_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846951
title: 2016 Species Inventory for Yukon Marine Life Survey

description: This is a list of genera and species verified via hi definition photography on the artificial reef Yukon in San Diego.
DOI: 10.7910/dvn/v1rjpf/g2mzke
title: mea20150312_03.txt.gz

description: :unav