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540 results for “Denmark”
Risk-perception, attitudes and behavioural intentions to spend on experiences in the post-Corona crisis: data from Italy, Denmark, China and Japan
<p>A cross-sectional survey conducted in Japan (n=1,111), Denmark (n=1,028), China (n=1,019) and Italy (n=1,014) during 10-24th of July 2020.</p> <p>Data format: sav (SPSS) and csv.</p>
Occasional songs from the Royal Shooting Association in Copenhagen, Denmark (1782–1869)
<p>The data set is centered around a catalogue (enumerative bibliography) of occasional songs addressed to an illustrious recipient at parties organized by the Royal Copenhagen Shooting Association (Det Kongelige Kjøbenhavnske Skydeselskab og Danske Broderskab).</p> <p>A more detailed description will be found in the research article with the title "Increasing Access to Ephemeral Prints. How to Construct and Analyze a Dataset From the Golden Age of Literature in Nineteenth-Century Denmark" (submitted to the journal <em>Orbis Litterarum</em>, in August 2022).</p> <p>The dataset was also published as a printed Danish bibliography entitled</p> <p>Holger Berg: Kongesange og skydeviser fra Det Kongelige Kjøbenhavnske Skydeselskab og Danske Broderskab 1784-1869. Odense: Kle-Art, 2022. ISBN 978-87-92750-35-8</p>
Data from: Davison et al. (2023) Vegetation structure from LiDAR explains the local richness of birds across Denmark
<p>Environmental and biodiversity data associated with the article: Davison et al. (2023) <strong>Vegetation structure from LiDAR explains the local richness of birds across Denmark</strong>, <em>Journal of Animal Ecology</em>.</p> <p>Bird richness and abundance at points across Denmark, with matched land cover and LiDAR structural data. Bird observations are a subset of the Common Bird Monitoring programme (DOF – Birdlife Denmark) and pooled from summer counts of 2014, 15, and 16. Bird functional group assignments and environmental data are from open access data sets (see below).</p> <table> <tbody> <tr> <td>Data source</td> <td>Reference</td> </tr> <tr> <td>Danish Common Bird Monitoring programme</td> <td>Eskildsen, D. P., Vikstrøm, T., & Jørgensen, M. F. (2021). Overvågning af de almindelige fuglearter i Danmark 1975-2020. Dansk Ornitologisk Forening.</td> </tr> <tr> <td>EcoDes-DK15 LiDAR data set of Denmark</td> <td>Assmann, J. J., Moeslund, J. E., Treier, U. A., & Normand, S. (2022). EcoDes-DK15: high-resolution ecological descriptors of vegetation and terrain derived from Denmark’s national airborne laser scanning data set. Earth System Science Data, 14(2), 823–844. https://doi.org/10.5194/essd-14-823-2022</td> </tr> <tr> <td>Pan-European land cover map of the year 2015 </td> <td>Pflugmacher, D., Rabe, A., Peters, M., & Hostert, P. (2019). Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey. Remote Sensing of Environment, 221, 583–595. https://doi.org/10.1016/j.rse.2018.12.001</td> </tr> <tr> <td>AVONET bird traits data</td> <td>Tobias, J. A., Sheard, C., Pigot, A. L., Devenish, A. J. M., Yang, J., Neate-Clegg, M. H. C., Alioravainen, N., Weeks, T. L., Barber, R. A., Walkden, P. A., MacGregor, H. E. A., Jones, S. E. I., Vincent, C., Phillips, A. G., Marples, N. M., Montaño-Centellas, F., Leandro-Silva, V., Claramunt, S., Darski, B., … Schleunning, M. (2022). AVONET: morphological, ecological and geographical data for all birds. Ecology Letters, 25(3), 581–597. https://doi.org/10.1111/ele.13898</td> </tr> <tr> <td>Birds of the Palearctic - original source of trait data </td> <td>Cramp, S. (2006). The birds of the western Palearctic interactive. Oxford University Press and BirdGuides.</td> </tr> <tr> <td>Life-history characteristics of European birds - trait database</td> <td>Storchová, L., & Hořák, D. (2018). Life-history characteristics of European birds. Global Ecology and Biogeography, 27(4), 400–406. https://doi.org/10.1111/geb.12709</td> </tr> </tbody> </table>
Data Files and Documentation - National Coordination of Data Steward Education in Denmark
<p>This site contains the Data Files and Documentation Files from the National Coordination of Data Steward Education in Denmark Project (2019-2020). The main deliverables from the project are:</p> <p>The Main Report:</p> <p><a href="https://doi.org/10.5282/zenodo.3609516">National Coordination of Data Steward Education in Denmark</a> (<strong>Main Report</strong>)</p> <p>and</p> <p>Wildgaard, Lorna</p> <p><a href="https://doi.org/10.5281/zenodo.3628375">Reframing Data Stewardship educations in Denmark and abroad</a> (<strong>Wildgaard</strong>)</p> <p> </p> <p>List of available Data and Documentation Files below:</p> <p><strong>Wildgaard </strong>and<strong> Main Report (section 2 Review of Data Steward Education)</strong></p> <p><em>1. DS_education_1_review_thematic_analysis.nvp (NVIVO-file) </em></p> <p><em>2. DS_education_2_review_coding_scheme (Excel) </em></p> <p><em>(Created by Wildgaard, Lorna)</em></p> <p><strong>Main Report (section 3 LinkedIn analysis)</strong></p> <p>No data available due to GDPR</p> <p><strong>Main Report (section 4 Job vacancies analysis)</strong></p> <p><em>3. DS_education_3_vacancies_and_method.zip (zip-file) </em></p> <p><em>4. DS_education_4_vacancies_top10_word_frequencies_geographical_location (Excel) </em></p> <p><em>(Created by Vlachos, Evgenios)</em></p> <p>The zip-file contains a text file describing the method used in the analysis (Method) and 119 pdf files with Data Steward vacancies.</p> <p><strong>Main Report (section 5 Questionnaire)</strong></p> <p><em>5. DS_education_5_questionnaire_questions </em></p> <p><em>6. DS_education_6_questionnaire_survey_report </em></p> <p><em>(Created by Vlachos, Evgenios & Knudsen, Christian B.)</em></p> <p><strong>Main Report (section 6 Interviews)</strong></p> <p>7. <em>DS_education_7_interviews_summaries_interview_1-4</em> </p> <p><em>(Created by Hüser, Falco)</em></p>
Figure 1 in A description of the male of Cocoseius elsalvador Denmark and Andrews (Acari: Phytoseiidae: Typhlodrominae)
Figure 1 Cocoseius elsalvador male: A – Dorsal shield and anterior peritreme; B – Ventral shields; C – Spermatodactyl; D – Leg IV.
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Denmark
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – National Food Institute - The Technical University of Denmark</p> <p>OCC-CHEMMON2021 – National Food Institute - The Technical University of Denmark</p> <p>OCC-CHEMMON2022 – National Food Institute - The Technical University of Denmark</p> <p>OCC-CHEMMON2023 – National Food Institute - The Technical University of Denmark</p> <p>OCC-CHEMMON2024 – National Food Institute - The Technical University of Denmark</p>
MERICS China Podcast: Austria, Denmark, Ireland, and their relations with China, with Alexander Davey, Lucas Erlbacher and Andreas Forsby
<p>European countries have become more aligned on how to deal with China in the past years, but national approaches towards the country still vary. In this episode of the MERICS China Podcast, we zoom in on Austria, Denmark, and Ireland and how their relationships with China have evolved, how they work with Brussels on China issues, and what is in store for the near future.<br><br><strong>Johannes Heller-John </strong>is joined by <strong>Alexander Davey</strong>, analyst at MERICS, <a href="https://www.aies.at/english/staff/erlbacher.php" target="_blank" rel="noopener noreferrer"><strong>Lucas Erlbacher</strong></a>, research associate with the Austrian Institute for European and Security Studies, and <a href="https://www.diis.dk/en/experts/andreas-boje-forsby" target="_blank" rel="noopener noreferrer"><strong>Andreas Forsby</strong></a>, senior researcher with the Danish Institute for International Studies. They contributed the country chapters for Ireland, Austria, and Denmark, respectively, in <a title="From a China strategy to no strategy at all: Exploring the diversity of European approaches" href="https://merics.org/en/report/china-strategy-no-strategy-all-exploring-diversity-european-approaches" target="_blank" rel="noopener">the most recent report of the European Thinktank Network on China (ETNC)</a>.</p>
DK10 - Multi-apartment building & Office - Herning (Denmark)
<p>Data files for building: DK10 - Multi-apartment building & Office - Herning (Denmark)</p> <p>Languages: Danish, English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
DK9 - Multi-apartment building & Office - Kibæk (Denmark)
<p>Data files for building: DK9 - Multi-apartment building & Office - Kibæk (Denmark)</p> <p>Languages: Danish, English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
DK8 - Multi-apartment building - Aarhus (Denmark)
<p>Data files for building: DK8 - Multi-apartment building - Aarhus (Denmark)</p> <p>Languages: Danish, English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
DK4 - Terraced house - Herning (Denmark)
<div> <p>Data files for building: DK4 - Terraced house - Herning (Denmark)</p> <p>Languages: Danish, English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p> <p> </p> </div>
DK2 - Single family house - Ry (Denmark)
<p>Data files for building: DK2 - Single family house - Ry (Denmark)</p> <p>Languages: Danish, English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
DK2 - Single family house - Ry (Denmark)
<p>Data files for building: DK2 - Single family house - Ry (Denmark)</p> <p>Languages: Danish, English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
DK7 - Multi-apartment building - Herning (Denmark)
<p>Data files for building: DK7 - Multi-apartment building - Herning (Denmark)</p> <p>Languages: Danish, English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
DK6 - Multi-apartment building - Herning (Denmark)
<p>Data files for building: DK6 - Multi-apartment building - Herning (Denmark)</p> <p>Languages: Danish, English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
National Checklists: Denmark Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - Denmark
<p>This dataset contains the monitoring results of veterinary medicinal product residues and other substances measured in live animals and animal products analysed by the national competent authority of Denmark. The presence of unauthorised substances, residues of veterinary medicinal products in food may pose a risk factor for public health.</p> <p>For this reason and in order to ensure a high level of consumer protection, a comprehensive legislative framework has been established in the European Union (EU) which defines maximum limits permitted in food and monitoring programmes for the control of the presence of these substances in the food chain. Regulation (EU) No 37/2010 establishes maximum limits for residues of veterinary medicinal products in food-producing animals and animal products. Maximum residue levels for pesticides in or on food and feed of plant and animal origin are laid down in Regulation (EC) No 396/2005. Commission Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</p> <p>The dataset contains the results of laboratory tests from samples taken from bovines, pigs, sheep, goats, horses, poultry, rabbits, farmed game, wild game aquaculture, milk, eggs and honey, and from 2023 also samples from casings, insects and reptiles.</p> <p>Targeted samples are taken with the aim of detecting illegal treatment or controlling compliance with the maximum levels laid down in the relevant legislation. This means that, in their national plans Member States target the groups of animals (species, gender, age) where the probability of finding residues is the highest. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, ii) possession or presence of prohibited substances at any point during manufacture, storage, distribution or sale through the food and feed production chain, or iii) suspicion or evidence of illegal treatment or non-compliance with the withdrawal period for an authorised medicinal veterinary product.</p> <p>Residues of pharmacologically active substances mean active substances, excipients or degradation products and their metabolites, which remain in food.</p> <p>Unauthorised substances mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the European Union legislation.</p> <p>Non-compliant sample is a sample that has been analysed for the presence of one or more substances and failed to comply with the legal provisions for at least one substance. Thus, a sample can be non-compliant for one or more substances.</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>VMPR_2023 – National Food Institute - Technical University of Denmark</p> <p>VMPR_2022 – National Food Institute - Technical University of Denmark</p> <p>VMPR_2021 – National Food Institute - Technical University of Denmark</p> <p>VMPR_2020 – National Food Institute - Technical University of Denmark</p> <p>VMPR_2019 – National Food Institute - Technical University of Denmark</p> <p>VMPR_2018 – National Food Institute - Technical University of Denmark</p> <p>VMPR_2017 – National Food Institute - Technical University of Denmark</p>
EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set
<p><strong>Eighteen high-resolution ecological descriptors of vegetation and terrain for Denmark "EcoDes-DK15"</strong></p> <p>The data are derived from the nationwide airborne laser scanning / LiDAR campaign of Denmark from 2014-2015 provided by the Danish Agency for Data Supply and Efficiency.</p> <p><strong>Update: EcoDes-DK15 v1.1.0 (4 Dec. 2021)</strong></p> <p>Following the recommendations and feedback during the first round of peer-review, we updated the EcoDes-DK processing pipeline and EcoDes-DK15 data set. The key changes are:</p> <ul> <li>New version of the source data optimised to contain only point data collected before the end of 2015. The source data for EcoDes-DK15 v1.0.0 unintentionally contained data from 2018. The new source data is documented <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/documentation/source_data/readme.md">here</a>.</li> <li>New "date_stamp_*" auxiliary variables that illustrate the survey dates for the vegetation points in each cell. See updated descriptor documentation <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/documentation/descriptors.md">here</a>.</li> <li>Re-scaling of "solar_radiation" variable to MJ per 100 m<sup>2</sup> per year.</li> </ul> <p><strong>Detailed documentation for the data set can be found in the accompanying manuscript and GitHub repository:</strong></p> <p>Assmann, J. J., Moeslund, J. E., Treier, U. A., and Normand, S.: EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set, Earth Syst. Sci. Data Discuss. [preprint], <a href="https://doi.org/10.5194/essd-2021-222">https://doi.org/10.5194/essd-2021-222</a>, in review, 2021<strong><em>.</em></strong></p> <p><a href="https://github.com/jakobjassmann/ecodes-dk-lidar">https://github.com/jakobjassmann/ecodes-dk-lidar</a></p> <p>Files are compressed using bzip2 and tar archiving. The compressed archives can be extracted using commonly available archiving tools (for example <a href="https://www.7-zip.org/">7z </a>on Windows, the archiving tool on macOS and bz2 on Linux). </p> <p>A small example "teaser" subset (5 MB) of the data set, covering the Husby Klit area from Figure 7 in the manuscript, can be found <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/manuscript/figure_7/EcoDes-DK15_teaser.zip">here</a>.</p> <p><strong>Abstract (from manuscript)</strong></p> <p>Biodiversity studies could strongly benefit from three-dimensional data on ecosystem structure derived from contemporary remote sensing technologies, such as Light Detection and Ranging (LiDAR). Despite the increasing availability of such data at regional and national scales, the average ecologist has been limited in accessing them due to high requirements on computing power and remote-sensing knowledge. We processed Denmark’s publicly available national Airborne Laser Scanning (ALS) data set acquired in 2014/15 together with the accompanying elevation model to compute 70 rasterized descriptors of interest for ecological studies. With a grain size of 10 m, these data products provide a snapshot of high-resolution measures including vegetation height, structure and density, as well as topographic descriptors including elevation, aspect, slope and wetness across more than forty thousand square kilometres covering almost all of Denmark’s terrestrial surface. The resulting data set is comparatively small (~94 GB, compressed 16.8 GB) and the raster data can be readily integrated into analytical workflows in software familiar to many ecologists (GIS software, R, Python). Source code and documentation for the processing workflow are openly available via a code repository, allowing for transfer to other ALS data sets, as well as modification or re-calculation of future instances of Denmark’s national ALS data set. We hope that our high-resolution ecological vegetation and terrain descriptors (EcoDes-DK15) will serve as an inspiration for the publication of further such data sets covering other countries and regions and that our rasterized data set will provide a baseline of the ecosystem structure for current and future studies of biodiversity, within Denmark and beyond.</p> <p><strong>Acknowledgements (from manuscript)</strong></p> <p>We would like to thank Andràs Zlinszky for his contributions to earlier versions of the data set, Charles Davison for feedback regarding data use and handling, as well as Matthew Barbee and Zsófia Koma for sharing their insights on the source data merger and Zsófia’s script to generate summary statistics for the different versions of the DHM point clouds. Funding for this work was provided by the Carlsberg Foundation (Distinguished Associate Professor Fellowships) and Aarhus University Research Foundation (AUFF-E-2015-FLS-8-73) to Signe Normand (SN). This work is a contribution to SustainScapes – Center for Sustainable Landscapes under Global Change (grant NNF20OC0059595 to SN).</p>
Fig. 99 in Laboulbeniomycetes (Fungi, Ascomycota) of Denmark
Fig. 99 (next page). A. The disused "Holtug Kalkbrud" is an old limestone quarry where the small water ponds (visible in the middle of the picture) completely dry out and leave a lot of plant debris behind. By sifting this debris Teratomyces philonthi (on Gabrius breviventer), Laboulbenia flagellata (on Anchomenus dorsalis), L. leisti (on Leistus ferrugineus), Cantharomyces orientalis (on Carpelimus bilineatus and C. corticinus), and Monoicomyces homalotae (on Atheta graminicola) can be found. (Photograph: Andrea Schomann). B. By sifting this semi-fresh flood debris on the dike at Juvre in the northern part of the island Rømø in the Wadden Sea, the extremely rare Corethromyces bialowiezensis (on Tachyporus chrysomelinus) very surprisingly was found, and also Monoicomyces invisibilis (on Platystethus alutaceus) was among the species found here. The sifting of flood debris immediately after severe autumn and winter storms with large floods as a result, has proven to be extremely effective in finding large amounts of invertebrates. The picture shows evidence of no less than three such incidents, in the form of well-separated belts of flood debris consisting of large amounts of plant material on the dike. Henning Liljehult is seen here a little irresolute about where to start on a 3-kilometer-long belt of debris. (Photograph: Jan Pedersen). C. "Klintebjerg ved Klint" is a sun-exposed, sandy grazed meadow with small shallow ponds where Zodiomyces vorticellarius (on Helochares obscurus) and Chitonomyces paradoxus (on Laccophilus minutus) can be found. In cow and deer dung on the pasture Rhachomyces philonthinus (on Philonthus varians), Laboulbenia argutoris (on Pterostichus strenuus) and Monoicomyces britannicus (on Atheta longicornis) are found. (Photograph: Andrea Schomann). D. The area around the now disused railway terrain in Rødbyhavn is one of the most exciting habitats in Denmark, as for many years a completely unique flora and fauna has proved to be present. Thus, more than 30 thermophilic invertebrate species new to the Danish fauna have been found at this site. This fact is primarily due to the southern location in Denmark and a habitat type which is quite unique to Danish conditions, most of all reminiscent of the conditions on rocky or sandy pastures in Central Europe. Among other things, it is the only known Danish locality for Laboulbenia egens (on Elaphropus parvulus) which, like Rhachomyces canariensis (on Trechus obtusus), Ecteinomyces trichopterophilus (on Acrotrichis spp.), Laboulbenia calathi (on Calathus melanocephalus), L. eubradycelli (on Bradycellus caucasicus and Bradycellus csikii), L. olisthopi (on Olisthopus rotundatus), and L. pedicellata (on Bembidion illigeri), was found by sifting extremely sun-exposed dry moss and lichens on gravel. In the seed-heads of wild carrots Laboulbenia ophoni (on Ophonus puncticeps) was found. (Photograph: Jan Pedersen). E. View from part of the Wadden Sea as seen from "Rømødaemningen", where Laboulbenia giardii (on Dicheirotrichus gustavii) was found by sifting the seaweed at the foot of the dam. (Photograph: Andrea Schomann).
Fig. 106 in Laboulbeniomycetes (Fungi, Ascomycota) of Denmark
Fig. 106. Habitus of hosts with fungi. Some thalli are zoomed in, and others are encircled. A. Corylophus cassidoides with four thalli of Laboulbenia corylophi on the apex of the elytra. B. Spelobia palmata with three thalli of Stigmatomyces divergatus on the left middle coxa. Scale bars: 1 mm. (Photos: Aslak Kappel Hansen).
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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