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Edificio E, Sector Público Central
Source: Objaverse 1.0 / Sketchfab
Deaths and work related occupational injuries detailed at the country, gender, and NACE Rev.2 sector levels from 2008 to 2019
<p>Ensuring social data's reliability is essential in accurately evaluating social and economic impacts across geographical locations, economic sectors and stakeholder categories. Yet, the MRIO model utilized in our research (EXIOBASE) was hindered by out-of-date or significantly proxy fatality statistics, causing potential inaccuracies in our findings. We have comprehensively revised EXIOBASE fatality data to address this shortcoming, incorporating detailed, nation-specific, and up-to-date data. The update includes work-related fatal occupational injuries as well as fatalities associated with occupational exposure to a variety of 17 hazardous substances and conditions such as asbestos, arsenic, benzene, beryllium, cadmium, chromium, diesel engine exhaust, formaldehyde, nickel, polycyclic aromatic hydrocarbons, silica, sulfuric acid, trichloroethylene, asthmagens, particulate matter, gases and fumes, noise and ergonomic factors. Our methodological process is built on three pillars: data acquisition, raw data processing, and computation of fatal injuries by country, gender, year, and EXIOBASE economic sector.</p> <p>Data were sourced from the World Health Organization (WHO) (Pega et al., 2021) and Eurostat databases (Publications Office of the European Union, 2013). The WHO data was carefully screened based on specific criteria such as age above 15 years, gender, and fatal injuries only. Eurostat data provided granular information on work-related fatalities, classified by economic activities in the European Community (or NACE Rev.2 (Eurostat, 2008)). The WHO provided aggregate fatality data for 2010 and 2016. The strategy for allocating these deaths across Eurostat categories depended on the countries' geographical location, with different methods applied to European and non-European nations.</p> <p>For European nations, fluctuations in fatality numbers within a NACE Rev.2 sector mirrored the changes registered by Eurostat. For non-European countries, fatality figures were proportionally allocated across economic sectors split according to the NACE Rev.2 classification, reflecting the workforce size associated with each economic sector. Due to the scarcity of data for nations within Asia, America, or Africa, we adopted a regional approach, computing fatality ratios over each NACE Rev.2 category for each region by integrating data for available countries over a reference year. For 2010 and 2016, the aggregate fatality figures for nations within these three zones were established. Due to the temporal proximity of both reference years, we postulated a linear trend in the fatality count between these two years. The number of fatalities for a specific country, year, and per NACE Rev.2 activity was then calculated by applying the previously mentioned fatality ratio to the total number of deaths for that nation. Last, we applied the European annual ratios to their total mortality figures for the few countries that could not be classified as European or belonging to one of the aforementioned zones.</p> <p>The result is a comprehensive database that includes the number of fatalities (expressed in the number of deaths for work-related fatal occupational injuries and in Disability-adjusted life years (DALYs), for fatalities associated with occupational exposure to a specific risk factor), detailed at the country, gender, and NACE Rev.2 sector levels from 2008 to 2019, providing insights into work-related fatal injuries across different health effects and geographical regions.</p> <p> </p> <p><strong>Nomenclature</strong></p> <p>Archives:</p> <ul> <li><em>Concordance_ISIC_Exiobase.xlsx : </em>Concordance between the International Standard Industrial Classification (ISIC) and the exiobase sectors</li> <li><em>Concordance_ISO3_EXIO3.xlsx - </em>Concordance between the ISO3 code and the Exiobase regions</li> <li><em>Workforce_by_ISO3.csv - </em>Number of active persons per Country (ISO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Year (from 1991 to 2021)</li> <li><em>Workforce_by_EXIO3.csv - </em>Number of active persons per Exiobase region (EXIO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Year (from 1991 to 2021)</li> <li><em>Death_ISO3.csv - </em>Number of death per Country (ISO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Estimate (point, lower, upper), Year (from 2009 to 2019)</li> <li><em>Death_EXIO3.csv - </em>Number of death per Exiobase Region (EXIO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Estimate (point, lower, upper), Year (from 2009 to 2019)</li> <li><em>Death_EXIO3_region_exiobase_sector.csv - </em>Number of death per Exiobase Region (EXIO3 code), exiobase sector, Sex, Estimate (point, lower, upper), Year (from 2009 to 2019)</li> <li>Injuries_ISO3.zip - Archive of DALY per Country (ISO3 code), Exiobase Sector, Sex, Estimate (point, lower, upper), Type of Exposure, Year (from 2009 to 2019)</li> <li>Injuries_EXIO3.zip - Archive of DALY per Exiobase Region (EXIO3 code), Exiobase Sector, Sex, Estimate (point, lower, upper), Type of Exposure, Year (from 2009 to 2019)</li> <li><em>Workforce_EXIO3_sector_exiobase.xlsx - </em>Number of active persons per Exiobase region (EXIO3 code), per exiobase sector, Sex, Year (from 1991 to 2021).<br>This file is available here : Berthet, Etienne and Lavalley, Julien and Anquetil-Deck, Candy and Ballesteros, Fernanda and Stadler, Konstantin and Soytas, Ugur and Hauschild, Michael and Laurent, Alexis, Assessing the Social and Environmental Impacts of Critical Mineral Supply Chains for the Energy Transition in Europe. Available at SSRN: <a href="https://ssrn.com/abstract=4610350" target="_blank" rel="noopener noreferrer">https://ssrn.com/abstract=4610350</a> or <a href="http://dx.doi.org/10.2139/ssrn.4610350" target="_blank" rel="noopener noreferrer">http://dx.doi.org/10.2139/ssrn.4610350</a> </li> </ul> <p><strong>Content of Injuries_*.zip:</strong></p> <ul> <li>arsenic_*.csv</li> <li>asbestos_*.csv</li> <li>asthmagens_*.csv</li> <li>benzene_*.csv</li> <li>beryllium_*.csv</li> <li>cadmium_*.csv</li> <li>chromium_*.csv</li> <li>diesel_*.csv</li> <li>ergonomic_*.csv</li> <li>formaldehyde_*.csv</li> <li>gases_*.csv</li> <li>nickel_*.csv</li> <li>noise_*.csv</li> <li>polycyclic_*.csv</li> <li>silica_*.csv</li> <li>sulfuric_*.csv</li> <li>trichloro_*.csv</li> </ul>
Compassion and self-care in the care sector
<p>Care, by itself, brings thoughts of warmth, compassion, and doing right by the people who need your help. As an employment Secto<strong>r</strong>, it sees life or death stakes placed on a chronically undervalued staff, working under stringent budgets in high pressure working environments.</p> <p>What, then, can we learn from the fields of trauma research and community support in caring for those carers?</p> <p>Dr Dianne Wepa of Charles Darwin University joins us again with colleagues Professor Mary Steen from the University of Northumbria and Dr Lisa Di Lemma from Liverpool Hope University to talk about self care and self compassion as tools for improving public health. </p> <p>As a note, this episode includes discussions of workplace bullying and medical trauma. Listener discretion is advised. </p> <p>Read the original research: https://doi.org/10.2174/18743501-V15-E221020-2022-39<br><br>Listen to Dr Wepa's previous episodes:</p> <ul> <li>https://doi.org/10.5281/zenodo.10213207</li> <li>https://doi.org/10.5281/zenodo.10455774</li> </ul>
Philoxenite 3D models: North-western part of area N1 including sectors 1–4
<p>The documentation has been created as part of the National Science Centre grant (UMO-2017/25/B/H3/01841).</p>
Philoxenite 3D models: North-western part of area N1 including sectors 1, 4 and 6
<p>The documentation has been created as part of the National Science Centre grant (UMO-2017/25/B/H3/01841).</p>
Philoxenite 3D models: North-western part of area N1 sector 6
<p>The documentation has been created as part of the National Science Centre grant (UMO-2017/25/B/H3/01841).</p>
Philoxenite 3D models: Northern part of area N1, sector 7
<p>The documentation has been created as part of the National Science Centre grant (UMO-2017/25/B/H3/01841).</p>
Philoxenite 3D models: North-western part of area N1 sector 8
<p>The documentation has been created as part of the National Science Centre grant (UMO-2017/25/B/H3/01841).</p>
Mining allowances, wellbeing and SE development in the mining sector, DRC
<p>This dataset supports the paper "A Congolese mining giant’s social corporate responsibility stuck between false pretense and bricolage: passing through a logic of <em>do no harm</em> to make <em>sustainable development</em> concrete still at issue." currently in the submission phase to a journal. The paper fundamentally questions the relationship between social policies and their application on the field in the mining extraction industry. It relies upon results from a case study implemented by me in DRC between 2018 and 2022, in the frame of a broader multidisciplinary project (Anthropology, Social Economics, Land Management) named “Locals dealing with Developmental Income” (DevInc). </p>
Code and input data related to "Integrated decarbonization of hard-to-abate industry utilizing biomass reliefs burden on power sector"
<p>Input data and code for the submitted article: "Integrated decarbonization of hard-to-abate industry utilizing biomass reliefs burden on power sector" <br><br>by Alissa Ganter <sup>1,†</sup>, Paula Baumann <sup>1,2,†</sup>, Veis Karbassi <sup>2</sup>, Giovanni Sansavini <sup>1,*</sup></p> <p><sup>1 </sup>Reliability and Risk Engineering, Institute of Process and Energy Engineering, ETH Zurich, Leonhardstrasse 21, 8092 Zurich, Switzerland</p> <p><sup>2 </sup>School of Business and Economics, RWTH Aachen University, Kackertstraße 7, 52072 Aachen, Germany</p> <p><sup>† </sup>These authors contributed equally</p> <p><sup>*</sup>Corresponding author: sansavig@ethz.ch</p>
Supplementary Data: Industrial sector pathways to a well-below 2ºC world: a global integrated assessment perspective
<p>Supplementary Material for the study titled<em> Industrial sector pathways to a well-below 2ºC world: a global integrated assessment perspective</em>. <em> </em></p>
FIGURE. Four endemic taxa of the Bermejense sector: A. Centaurea haenseleri (slopes in the north face of Mountain Cerro del Duque); B. Galium boissieranum (scrublands in the Mountain Sierra del Real); C. Armeria colorata (shady rocks in the north face of Abanto peak); D. Staehelina baetica (thermophilic scrublands in the Mountain Sierra Palmitera). (Photos by authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Four endemic taxa of the Bermejense sector: A. Centaurea haenseleri (slopes in the north face of Mountain Cerro del Duque); B. Galium boissieranum (scrublands in the Mountain Sierra del Real); C. Armeria colorata (shady rocks in the north face of Abanto peak); D. Staehelina baetica (thermophilic scrublands in the Mountain Sierra Palmitera). (Photos by authors).
FIGURE. Four endemic taxa of the Rondeño sector: A. Astragalus nevadensis subsp. andres-molinae (high mountain cushion scrublands in the plateau of Quejigal de Tolox); B. Teucrium teresianum (thermophilic scrublands in the south face of Mount Torrecilla); C. Cytisus fontanesii subsp. plumosus (grazed scrublands in La Nava polje); D. Armeria villosa subsp. villosa (vertical cliffs in the north face of Fatalandar peak). (Photos by authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Four endemic taxa of the Rondeño sector: A. Astragalus nevadensis subsp. andres-molinae (high mountain cushion scrublands in the plateau of Quejigal de Tolox); B. Teucrium teresianum (thermophilic scrublands in the south face of Mount Torrecilla); C. Cytisus fontanesii subsp. plumosus (grazed scrublands in La Nava polje); D. Armeria villosa subsp. villosa (vertical cliffs in the north face of Fatalandar peak). (Photos by authors).
FIGURE. Genuine oromediterranean, high mountain vegetation, characterized by Juniperus sabina and Juniperus communis subsp. hemisphaerica with scattered Abies pinsapo above 1,800 m on the northern summit of La Torrecilla, Rondeño sector. (Photo authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Genuine oromediterranean, high mountain vegetation, characterized by Juniperus sabina and Juniperus communis subsp. hemisphaerica with scattered Abies pinsapo above 1,800 m on the northern summit of La Torrecilla, Rondeño sector. (Photo authors).
FIGURE. Hyper-xeric, dolomitic supramediterranean vegetation, dominated by Juniperus phoenicea on the southern face of Sierra de Tolox in the Rondeño sector. (Photo authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Hyper-xeric, dolomitic supramediterranean vegetation, dominated by Juniperus phoenicea on the southern face of Sierra de Tolox in the Rondeño sector. (Photo authors).
FIGURE. Serpentine pine forests (Pinus pinaster) accompanied by Erica scoparia and Quercus coccifera, climax vegetation in the Bermejense sector. (Photo authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Serpentine pine forests (Pinus pinaster) accompanied by Erica scoparia and Quercus coccifera, climax vegetation in the Bermejense sector. (Photo authors).
FIGURE. Graminoid vegetation with Festuca elegans in a matrix of spring-flowering Erinacea anthyllis subsp. anthyllis cushion scrub in the upper summits of the Rondeño sector. At the bottom, the peak La Torrecilla (1,918 m). (Photo authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Graminoid vegetation with Festuca elegans in a matrix of spring-flowering Erinacea anthyllis subsp. anthyllis cushion scrub in the upper summits of the Rondeño sector. At the bottom, the peak La Torrecilla (1,918 m). (Photo authors).
FIGURE. Landscape in the Bermejense biogeographical sector. Shrublands dominated by Juniperus oxycedrus subsp. oxycedrus and serpentine endemic scrublands in the Cerro Corona (1,299 m). (Photo authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Landscape in the Bermejense biogeographical sector. Shrublands dominated by Juniperus oxycedrus subsp. oxycedrus and serpentine endemic scrublands in the Cerro Corona (1,299 m). (Photo authors).
FIGURE. In the foreground, Aljíbico sector with Pinus pinaster and Quercus suber, in the centre Bermejense sector with serpentine scrublands and in the background the Rondeño sector with the highest summit of the studied area (La Torrecilla, 1,918 m) oromediterranean bioclimatic belt. (Photo authors) in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. In the foreground, Aljíbico sector with Pinus pinaster and Quercus suber, in the centre Bermejense sector with serpentine scrublands and in the background the Rondeño sector with the highest summit of the studied area (La Torrecilla, 1,918 m) oromediterranean bioclimatic belt. (Photo authors)
Data Bundle for PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System
<p>While small data files used in PyPSA-Eur-Sec are included directly in the git repository, larger ones are collected in this data bundle. The data bundle’s size is around 680 MB.</p> <p><strong>Licenses</strong></p> <p>Different licenses apply to the various components of this data bundle (mostly attribution).</p> <p>For details see <a href="https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements">https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements</a></p> <p><strong>Changelog 0.3.1</strong></p> <ul> <li>Fix IRENASTAT encoding</li> </ul> <p><strong>Changelog 0.3.0</strong></p> <ul> <li>Add <a href="https://pxweb.irena.org/pxweb/en/IRENASTAT">IRENASTAT</a> country-level power generation capacities.</li> </ul> <p><strong>Changelog 0.2.0</strong></p> <ul> <li>add hydrogen salt cavern storage potential (h2_salt_caverns_GWh_per_sqkm.geojson)</li> </ul> <p> </p>
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