From 29e647c2a6532d63fceb4dad04099993b0d5c9d9 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 4 Jul 2024 05:22:12 +0000 Subject: [PATCH] deploy: d155cce6a169630449dcc6f25b4560028923fbca --- rss.xml | 2 +- webpack-report.html | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/rss.xml b/rss.xml index a9802568d..2057e997f 100644 --- a/rss.xml +++ b/rss.xml @@ -1,4 +1,4 @@ -<![CDATA[Dataviz.Shef RSS Feed]]>https://dataviz.shef.ac.ukhttps://github.com/researchdata-sheffield/dataviz-hub2/blob/development/src/images/author/dataviz.pngDataviz.Shef RSS Feedhttps://dataviz.shef.ac.ukGatsbyJSMon, 01 Jul 2024 05:21:06 GMT1440<![CDATA[GlueViz for Heterogeneous data]]>https://dataviz.shef.ac.uk/blog/18/02/2022/Glue-Viz-for-Heterogeneous-Datahttps://dataviz.shef.ac.uk/blog/18/02/2022/Glue-Viz-for-Heterogeneous-DataFri, 18 Feb 2022 00:00:00 GMTThis is an event blog for the GlueViz workshop hosted by the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR). You can access the training materials from here . Heterogeneous data Heterogeneous data refers to data samples coming from a number of distinct sources which could well be independent or very different to each other. However, modern research often involves exploration and analysis of interrelated heterogeneous data which cannot be done simply by programming scripts. For example, how do you interpret the daily recorded rainfall in the context of hourly recorded…<![CDATA[Assess FAIRness of datasets in ORDA]]>https://dataviz.shef.ac.uk/visualisation/31/01/2022/ORDA-datasets-FAIRness-assessmenthttps://dataviz.shef.ac.uk/visualisation/31/01/2022/ORDA-datasets-FAIRness-assessmentMon, 31 Jan 2022 00:00:00 GMT<![CDATA[Why Garden? Attitudes and the perceived health benefits of home gardening]]>https://dataviz.shef.ac.uk/visualisation/27/01/2022/Why-Gardenhttps://dataviz.shef.ac.uk/visualisation/27/01/2022/Why-GardenThu, 27 Jan 2022 00:00:00 GMT<![CDATA[Introducing the new visualisation page]]>https://dataviz.shef.ac.uk/blog/08/11/2021/New-Visualisation-Pagehttps://dataviz.shef.ac.uk/blog/08/11/2021/New-Visualisation-PageMon, 08 Nov 2021 00:00:00 GMTData visualisation is a great way to create impact, in support of the University’s vision, and supports the promotion of research. Looking back over the past year, data visualisation has been an effective tool for understanding worldwide trending topics such as climate change, CoVid-19, and elections. Attractive and understandable data visualisations increase the visibility of the University's research and appeal to different stakeholders. In addition, by sharing any source code, data, and other resources involved in making the visualisation, others can benefit from this openness, allowing…<![CDATA[Overfishing and habitat loss drive range contraction of iconic marine fishes to near extinction]]>https://dataviz.shef.ac.uk/visualisation/20/10/2021/Marine-Fishes-Near-Extinctionhttps://dataviz.shef.ac.uk/visualisation/20/10/2021/Marine-Fishes-Near-ExtinctionWed, 20 Oct 2021 00:00:00 GMT<![CDATA[Applications of ParaView]]>https://dataviz.shef.ac.uk/blog/05/10/2021/Paraviewhttps://dataviz.shef.ac.uk/blog/05/10/2021/ParaviewTue, 05 Oct 2021 00:00:00 GMTThis post is based on Suzana Silva's presentation at Research IT Forum: Image processing, techniques and technology. What is ParaView? ParaView is free software that can visualise both observational and numerical data. +<![CDATA[Dataviz.Shef RSS Feed]]>https://dataviz.shef.ac.ukhttps://github.com/researchdata-sheffield/dataviz-hub2/blob/development/src/images/author/dataviz.pngDataviz.Shef RSS Feedhttps://dataviz.shef.ac.ukGatsbyJSThu, 04 Jul 2024 05:21:47 GMT1440<![CDATA[GlueViz for Heterogeneous data]]>https://dataviz.shef.ac.uk/blog/18/02/2022/Glue-Viz-for-Heterogeneous-Datahttps://dataviz.shef.ac.uk/blog/18/02/2022/Glue-Viz-for-Heterogeneous-DataFri, 18 Feb 2022 00:00:00 GMTThis is an event blog for the GlueViz workshop hosted by the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR). You can access the training materials from here . Heterogeneous data Heterogeneous data refers to data samples coming from a number of distinct sources which could well be independent or very different to each other. However, modern research often involves exploration and analysis of interrelated heterogeneous data which cannot be done simply by programming scripts. For example, how do you interpret the daily recorded rainfall in the context of hourly recorded…<![CDATA[Assess FAIRness of datasets in ORDA]]>https://dataviz.shef.ac.uk/visualisation/31/01/2022/ORDA-datasets-FAIRness-assessmenthttps://dataviz.shef.ac.uk/visualisation/31/01/2022/ORDA-datasets-FAIRness-assessmentMon, 31 Jan 2022 00:00:00 GMT<![CDATA[Why Garden? Attitudes and the perceived health benefits of home gardening]]>https://dataviz.shef.ac.uk/visualisation/27/01/2022/Why-Gardenhttps://dataviz.shef.ac.uk/visualisation/27/01/2022/Why-GardenThu, 27 Jan 2022 00:00:00 GMT<![CDATA[Introducing the new visualisation page]]>https://dataviz.shef.ac.uk/blog/08/11/2021/New-Visualisation-Pagehttps://dataviz.shef.ac.uk/blog/08/11/2021/New-Visualisation-PageMon, 08 Nov 2021 00:00:00 GMTData visualisation is a great way to create impact, in support of the University’s vision, and supports the promotion of research. Looking back over the past year, data visualisation has been an effective tool for understanding worldwide trending topics such as climate change, CoVid-19, and elections. Attractive and understandable data visualisations increase the visibility of the University's research and appeal to different stakeholders. In addition, by sharing any source code, data, and other resources involved in making the visualisation, others can benefit from this openness, allowing…<![CDATA[Overfishing and habitat loss drive range contraction of iconic marine fishes to near extinction]]>https://dataviz.shef.ac.uk/visualisation/20/10/2021/Marine-Fishes-Near-Extinctionhttps://dataviz.shef.ac.uk/visualisation/20/10/2021/Marine-Fishes-Near-ExtinctionWed, 20 Oct 2021 00:00:00 GMT<![CDATA[Applications of ParaView]]>https://dataviz.shef.ac.uk/blog/05/10/2021/Paraviewhttps://dataviz.shef.ac.uk/blog/05/10/2021/ParaviewTue, 05 Oct 2021 00:00:00 GMTThis post is based on Suzana Silva's presentation at Research IT Forum: Image processing, techniques and technology. What is ParaView? ParaView is free software that can visualise both observational and numerical data. It has been used in many different research fields, as illustrated in Figure 1, where we see ParaView applied in cosmology and Figure 2, where we see it applied to medical research. ParaView can readily render the images based on the research data, facilitating visualisation of the data from different perspectives by rotating and post-processing the original data. Thereby, this…<![CDATA[Improved rice cooking approach to maximise arsenic removal while preserving nutrient elements]]>https://dataviz.shef.ac.uk/visualisation/22/09/2021/Improved-Rice-Cooking-Approachhttps://dataviz.shef.ac.uk/visualisation/22/09/2021/Improved-Rice-Cooking-ApproachWed, 22 Sep 2021 00:00:00 GMT<![CDATA[Alcohol pricing policies are estimated to be more effective at reducing consumption and harm for men than women]]>https://dataviz.shef.ac.uk/visualisation/06/09/2021/Modeling-the-Effects-of-Alcohol-Pricing-Policieshttps://dataviz.shef.ac.uk/visualisation/06/09/2021/Modeling-the-Effects-of-Alcohol-Pricing-PoliciesMon, 06 Sep 2021 00:00:00 GMT<![CDATA[Statistical Testing]]>https://dataviz.shef.ac.uk/docs/03/09/2021/LearningPath-Statistical-Modelling-3https://dataviz.shef.ac.uk/docs/03/09/2021/LearningPath-Statistical-Modelling-3Fri, 03 Sep 2021 00:00:00 GMTIntroduction Much of modern research is interested in the relationship between variables. diff --git a/webpack-report.html b/webpack-report.html index 9d2327ae7..03584eb53 100644 --- a/webpack-report.html +++ b/webpack-report.html @@ -3,7 +3,7 @@ - datavizhub-tuos [1 Jul 2024 at 05:20] + datavizhub-tuos [4 Jul 2024 at 05:21]