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156 results for “Luxembourg”
CAMELS-LUX: Highly Resolved Hydro-Meteorological and Atmospheric Data for Physiographically Characterized Catchments around Luxembourg
<p>The CAMELS-LUX dataset encompasses hydro-meteorological time series and catchment attributes for 56 partly nested stream gauges feeding into the Luxembourgish stream network. The data is available at three temporal resolutions: daily, hourly and at a 15-minute resolution and spans the hydrological years from 2004-11-01 to 2021-10-31. The static catchment attributes cover parameters classifying the topography, geology and land use as well as climatic and hydrologic annual statistics of the 17-year time period.</p> <p>While an in depth description of the dataset as well as background information on catchments, the environment and exact calculation methods is provided in the accompanying publication in ESSD, the dataset description below isolates information on the available parameters and data structure contained in the provided files.</p> <p>Please note that the dataset might not include data corrections or validations that are subject to a date later than the date of the retrieval of the data for the processing of this dataset. This dates back to 2022 for most hydrologic time series, and to 2023 for the reanalysis data or the precipitation data. We are aware of duplicate rows in the time series file with a resolution of 15 minutes for catchment 16 as well as time stamp shifts in the precipitation data. We are working on correcting these data to update this dataset.</p> <p><strong>Data structure</strong></p> <p><strong>Time series data</strong></p> <ol> <li>Hydrologic parameters</li> <li>Precipitation parameters</li> <li>Air temperature and potential evapotranspiration parameters</li> <li>Thunderstorm relevant atmospheric parameters</li> <li> Soil Moisture parameters</li> </ol> <p><strong>Static catchment attributes</strong></p> <ol> <li>Basin IDs</li> <li>Meta catchment attributes</li> <li>Climatic catchment attributes</li> <li>Geologic catchment attributes</li> <li>Land use catchment attributes</li> <li>Topographic catchment attributes</li> </ol> <p><strong>Spatial data - shapefiles</strong></p>
Supplementary Table 1 and data from the workshop on Digital Building Logbooks and Permit Processes for Sustainability in Sustainable Places 24.9.2024 in Luxembourg
<p>This repository contains the supplementary Table 1 and data collected during a workshop on Digital Building Logbooks and Permit Processes for Sustainability. The workshop was held in Sustainable Places on the 24th of September 2024 in Luxembourg. </p>
AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Luxembourg
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
Detailed sap flow monitoring data at Weierbach catchment, Luxembourg
<p>The current repository contains the dasometric data of monitored trees, hourly sap flow data, and tree surveys carried out at the Weierbach catchment during 2019 and 2020. The monitored trees include the following species:</p> <p>- Beech (<em>Fagus sylvatica </em>L.)</p> <p>- Douglas Fir (<em>Pseudotsuga menziesii</em> (Mirbel) Franco)</p> <p>- Spruce (<em>Picea abies </em>L.)</p> <p>- Oak (hybrids of <em>Quercus petraea</em> (Matt.) Liebl. and <em>Quercus robur </em>L.)</p> <p>The sap flow data for all the trees is presented in cm/hr.</p> <p>The bark data presented in the "dasometry_individual_trees.csv" was obtained from the literature.</p>
National Checklists 2017: Luxembourg Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Luxembourg collected using effechecka and geonames polygons
National Checklists 2019: Luxembourg Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Luxembourg collected using effechecka and geonames polygons
S69 | LUXPEST | Pesticide Screening List for Luxembourg
<p>This is the collection associated with list S69 LUXPEST Pesticide Screening List for Luxembourg on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A pesticide screening list for Luxembourg, compiled from multiple sources by Jessy Krier, uni.lu. Dataset DOI: 10.5281/zenodo.3862688.</p> <p>NOTE: the presence of pesticides on this list means that they are potentially relevant for Luxembourg and surrounding regions, but does not imply that they have been detected in Luxembourg. This list has been compiled to enable the efficient screening of data using the background knowledge contained within this list.</p> <p>The sources used were:</p> <p>Classification links & Authorization in Luxembourg</p> <p>https://ec.europa.eu/food/plant/pesticides/eu-pesticides-database/public/?event=activesubstance.selection&language=EN</p> <p>https://sitem.herts.ac.uk/aeru/bpdb/search.htm</p> <p>https://sitem.herts.ac.uk/aeru/ppdb/en/search.htm<br> <br> Origin:</p> <p>ASTA: https://saturn.etat.lu/tapes/tapes_de_lst_pdt.jsp?sel=_</p> <p>SWISSPEST16: https://comptox.epa.gov/dashboard/chemical_lists/swisspest</p> <p>Structure mapping: CompTox Batch Search with CID mapping via PubChem; InChIs were generated from SMILES by OpenBabel. MS_READY SMILES were used for mass spectral screening; parent forms were used for structural information and to map classification content.</p> <p>Update 29/7/2021: TP permission information updated.<br> </p>
R code and data to reproduce figures from the "Multivariate autoregressive modelling and conditional simulation for temporal uncertainty analysis of an urban water system in Luxembourg" paper
<p>This repository contains the R code and data to reproduce figures from the "Multivariate autoregressive modelling and conditional simulation for temporal uncertainty analysis of an urban water system in Luxembourg" paper.</p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Luxembourg
<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 – Ministry of Health</p> <p>OCC-CHEMMON2021 – Ministry of Health</p> <p>OCC-CHEMMON2023 – Ministry of Health; Luxembourg Veterinary and Food Administration</p> <p>OCC-CHEMMON2024 – Ministry of Health; Luxembourg Veterinary and Food Administration</p>
Luxembourg results from the monitoring of pesticide residues in food
<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p> </p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Food safety Service - Ministry of Health</p> <p>MOPER_2022 - Food safety Service - Ministry of Health</p> <p>MOPER_2021 - Food safety Service - Ministry of Health</p> <p>MOPER_2020 - Food safety Service - Ministry of Health</p> <p>MOPER_2019 - Food safety Service - Ministry of Health</p> <p>MOPER_2018 - Food safety Service - Ministry of Health</p> <p>MOPER_2017 - Food safety Service - Ministry of Health</p> <p>MOPER_2016 - Food safety Service - Ministry of Health</p> <p>MOPER_2015 - Food safety Service - Ministry of Health</p> <p>MOPER_2014 - Food safety Service - Ministry of Health</p> <p>MOPER_2013 - Food safety Service - Ministry of Health</p> <p>MOPER_2012 - Food safety Service - Ministry of Health</p> <p>MOPER_2011 - Food safety Service - Ministry of Health</p> <p> </p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>
One year of high frequency monitoring of groundwater physico-chemical parameters in the Weierbach Experimental Catchment, Luxembourg.
<p><span>We present a novel dataset from the Weierbach Experimental Catchment in Luxembourg, derived from a year-long high-frequency monitoring campaign focused on groundwater physico-chemical parameters. Through meticulous data collection and rigorous quality control, parameters such as electrical conductivity, dissolved oxygen, oxidation-reduction potential, pH and cations/anion concentrations were measured, offering new insights into the CZ's hydrological and biogeochemical dynamics. The dataset highlights the intricate interplay between redox reactions, pH, and ion exchange processes, as well as the influence of seasonal variability and flowline interactions on solute transport.</span></p> <p><span>By providing a detailed view of the catchment's response to hydrological changes, this dataset fills a significant gap in CZ research, offering a valuable resource for advancing our understanding of hydro-biogeochemical catchment processes. This contribution is not only a step forward in CZ science but also serves as a critical tool for researchers and practitioners aiming to refine models, inform land management practices, and foster a more holistic understanding of catchment biogeochemistry.</span></p>
Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Luxembourg
<p>This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.</p> <p><strong>Reporting authorities contributing to each data collection:</strong></p> <ul> <li>TSE_2023_LU: Veterinary Services Administration (ASV)</li> <li>TSE_2022_LU: Veterinary Services Administration (ASV)</li> <li>TSE_2021_LU: Veterinary Services Administration (ASV)</li> <li>TSE_2020_LU: Veterinary Services Administration (ASV)</li> <li>TSE_2019_LU: Veterinary Services Administration (ASV)</li> </ul>
National Checklists: Luxembourg 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 - Luxembourg
<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 Luxembourg. 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 – Veterinary Service Administration</p> <p>VMPR_2022 – Veterinary Service Administration</p> <p>VMPR_2021 – Veterinary Service Administration</p> <p>VMPR_2020 – Veterinary Service Administration</p> <p>VMPR_2019 – Veterinary Service Administration</p> <p>VMPR_2018 – Veterinary Service Administration</p> <p>VMPR_2017 – Veterinary Service Administration</p> <p> </p>
Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Luxembourg
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Questionnaire for surveys on Urban Green Space use and survey raw data for Brussels (Belgium), Luxembourg-city (Luxembourg) and Rouen (France)
<p>The repository contains the xml files of survey questionnaires on the use of urban green spaces. All survey files are translated into three languages (English, French and German).</p> <p>At the time of this publication, these questionnaires have already been used for conducting face-to-face surveys in 2016 in Brussels (Belgium), in 2017 in Luxembourg-city (Luxembourg) and in 2017 in Rouen (France).</p> <p>The results of these surveys are provided in raw data format (csv files), after anonymisation (home and workplace locations have been removed).</p> <p>Please feel free to contact us for any supplementary info.</p>
Fig. 3 in SimoniteUthiS, a new vampyromorph coleoid with prey in its arms from the Early Jurassic of Luxembourg
Fig. 3 Gladius morphology of Simoniteuthis michaelyi n. gen. n. sp., holotype (MNHNL TI024), Lower Toarcian, Serpentinum Chronozone, Exaratum Subchronozone, Bascharage. A overview of the slab; B close-up of the anterior hyperbolar zone showing the course of growth increments; C schematic morphology and measurements; D overview of the counter-slab; E close-up of the posterior gladius showing the course of growth increments. Scale bars = 10 mm
Fig. 2 Simoniteuthis michaelyi n. gen. n in SimoniteUthiS, a new vampyromorph coleoid with prey in its arms from the Early Jurassic of Luxembourg
Fig. 2 Simoniteuthis michaelyi n. gen. n. sp., holotype (MNHNL TI024), Lower Toarcian, Serpentinum Chronozone, Exaratum Subchronozone, Bascharage. A–D slab; E–G counter-slab. A overview; B camera lucida drawing of A; C close-up of the head–arm complex; D same under UV-light showing the weakly illuminating arm musculature; E overview; F close-up of the preyed fishes, red colour Specimen 1 (op = opercle; sop = subopercle), blue colour Specimen 2 (caud = caudal fin; sop = subopercle; centra = central vertebra); G same under UV-light. Scale bars = 10 mm
Fig. 5 in SimoniteUthiS, a new vampyromorph coleoid with prey in its arms from the Early Jurassic of Luxembourg
Fig. 5 General phylogenetic tree of the Neocoleoidea (proostracum-bearing coleoids) indicating arm crown modifications within the Octobrachia. If the filamentous arm pair of Recent Vampyroteuthis is a homologue of the lost arm pair of the Octopoda, the vampyromorph stem lineage (thicker) should theoretically exhibit evidence of a rudimental dorsolateral (5th) arm pair
Fig. 1 in SimoniteUthiS, a new vampyromorph coleoid with prey in its arms from the Early Jurassic of Luxembourg
Fig. 1 Detailed map of the Edward Steichen Industrial Zone, northeast of the town of Bascharage in southwest Luxembourg. The area marked by a black asterisk corresponds to the place of finding (© Carte topographique: Adm. Du Cadastre et de la Topographie, Luxembourg)
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OpenNeuro
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