Other language confidence: 0.9769176724800457
<p>Population of the cichory leaf miner fly (Phytomyza cichorii) was monitored in Belgian chicory fields using water traps between the years 1995 and 2024. This data was primarily used to inform farmers on when the legal economic damage threshold of this insect was crossed. Data was collected by placing three water traps within a field for 7 days. After 7 days the water traps were replaced and the number of female and male chicory miner flies were counted. Since 2025 the water traps have been replaced by sticky traps with algorithmic monitoring. Since this dataset contained 29 years of data it raised the question on how the population of the chicory miner fly was impacted by climatic changes over the last 29 years. Historic weather data was collected both using the KMI's Automatic weather station data for data prior to 2015 and the KMI's WOW-BE platform for weather data between 2016 and 2024. The original coordinate data revealed the names and plots of each farmer. Due to privacy reasons we contacted the farmers and they asked us to anonomize this data. Therefore we report the municipality data of the farms rather than the coordinate data.</p>
<p>Distribution data of updates on a taxonomic revision (genera Tetraserica and Trioserica, from China and Vietnam)</p>
<p>The data set contains distribution data from an integrative taxonomic revision for the genus Pachypus Dejean, 1821, published in Scientific Reports (Title: An integrative taxonomy of cryptic Pachypus chafers using museomics, morphometrics, barcoding, and genomic DNA analysis (Coleoptera: Scarabaeidae: Pachypodinae)). </p>
<p>Lasioserica paper - taxonomy update 2026</p>
<p>Distribution data of a taxonomic revision (Neoserica calva group)</p>
<p>This data set contains fish occurrence and abundance data for 72 freshwater fish species (native and non-native) for 12 federal states (Berlin, Brandenburg, Hesse, Mecklenburg- West Pomerania, Lower Saxony, Bremen, North Rhine-Westphalia, Saarland, Saxony-Anhalt, Saxony, Schleswig-Holstein, Thuringia) in Germany, This geographic extent covers mostly middle and north Germany, including the basins of Maas, Weser, Ems, Elbe, Oder, and middle Rhine, while excluding the Danube River Basin and the upper Rhine Basin. The data set has been collected by federal authorities and experts at 12007 sampling sites for the purpose Water Framework or Habitats Directive monitoring across the aforementioned federal states: (1) Berlin 159 sampling sites data provided by „Fischereiamt Berlin“ (2) Brandenburg 1179 sampling sites data provided by „Landesamt fuer Umwelt Brandenburg, Referat W14 (Oberflaechengewaesserguete)“ (3) Bremen 37 sampling sites data provided by „Die Senatorin fuer Klimaschutz, Umwelt, Mobilität, Stadtentwicklung und Wohnungsbau, Contrescape 72, 28195 Bremen“ (4) Hesse 988 sampling sites data provided by "Hessisches Landesamt fuer Naturschutz, Umwelt und Geologie (HLNUG), Dezernat Gewaesseroekologie" (5) Mecklenburg-West Pomerania 260 sampling sites data provided by "Landesamt fuer Umwelt, Naturschutz und Geologie (LUNG) Mecklenburg-Vorpommern" (6) North Rhine-Westphalia 2118 sampling sites data provided by "fischinfo.naturschutzinformationen.nrw.de" (7) Lower Saxony 530 sampling sites data provided by "Niedersaechsisches Landesamt fuer Verbraucherschutz und Lebensmittelsicherheit (LAVES), Dezernat Binnenfischerei, Hannover" (8) Saarland 63 sampling sites data provided by "Landesamt fuer Umwelt und Arbeitsschutz Saarland, Fachbereich Gewaesseroekologie" (9) Saxony 3735 sampling sites data provided by "LfULG (2021): Auszug aus der Fischdatenbank SaFiDB" (10) Saxony-Anhalt 436 sampling sites data provided by "Landesverwaltungsamt Sachsen-Anhalt Halle (Saale) & Institut fuer Binnenfischerei Potsdam-Sacrow e.V.: Fischartenkataster des Landes Sachsen-Anhalt 1992-2021" (11) Schleswig-Holstein 1881 sampling sites data provided by "Landesamt fuer Landwirtschaft, Umwelt und laendliche Raeume des Landes Schleswig-Holstein" (12) Thuringia 621 sampling sites data provided by "Fischdatenbank Thueringen" The whole data set covers a time-span from 1985 to 2020, but the main time span, for which we know that all federal states delivered most of the available data, was 2000 to 2020. However, 6246 of the sites were only sampled once. All other sites have been sampled at least twice and one site was sampled 20 times. For each sampling event, the dataset includes information on species (latin name), number of individuals caught, sampling location (name, type (lake or river)), location (names of broader water-bodies, coordinates), sampling effort (in most cases length, but sometimes duration or area), sampling method (mostly electrofishing, but sometimes others). As most data were collected for Water Framework or Habitats Directive monitoring, it can be expected that all caught species were reported. However, the original dataset only reported detections, and not absences. Hence, here, we included zero values for all species that were not reported at a site in one year, but were present in another year at that site.</p>
<p>Distribution data of the taxonomic paper: New Sericini from Myanmar (Coleoptera: Scarabaeidae: Sericinae)</p>
<p>The dataset contains vegetation data collected in four different life stages of short rotation coppices (SRC): harvested, young (2 year old), mature (3 year old) and old (4 year old). In each SRC life stage, there were three sites established, in which a plot of 10 x 20 m was searched for vascular plant and fern species (Total = 12 sites). Each site was investigated once in May, June, July and August 2022. In may and June, plants were identified on species level according to the WFO Plant List and classified in terms of their relative ground cover according to a scale presented in Pfadenhauer et al. (1986): "Überlegungen zu einem Konzept geobotanischer Dauerbeobachtungsflächen für Bayern", complemented by an additional class containing single individuum findings. In the harvested SRCs, the plants were also identified in July and August because plant communities were expected to markedly change in these months as the poplars sprout out again and grew. In June, July and August, the number of flowering shoots were recorded for insect pollinated plant species at each site. </p>
<p>The dataset contains abundance data of butterfly species captured with coloured canopy Malaise traps in four different life stages of short rotation coppices (SRC): harvested, young (2 year old), mature (3 year old) and old (4 year old). In each life stage, three Malaise traps were placed (3 sites per life stage). The traps were active for two weeks, each in May, June, July and August. The samples were collected to compare the butterfly richness and abundance between the life stages. Butterflies were identified by an entomological expert to species level. Furthermore, the dataset comprises the wet mass of the butterfly individuals per species and sample, weighed with a precision scale (0.001 g)</p>
The SuK-Nord (INSPIRE) shows the geological distribution of aggregates (sand and gravel) in Northern Germany, especially north of the southernmost maximum of the Scandinavian inland ice sheet (Saalian and Elsterian glaciation). According to the Data Specifications on Mineral Resources (D2.8.III.21) and Geology (D2.8.II.4_v3.0) the content of the map is stored in two INSPIRE-compliant GML files: SuK_Nord_EarthResource_polygon.gml contains the distribution of aggreagtes (sand and gravel) as polygons. SuK_Nord_GeomorphologicFeature.gml contains the southernmost maximum of the Scandinavian inland ice sheet (Saalian and Elsterian glaciation) as lines. The GML files together with a Readme.txt file are provided in ZIP format (SuK_Nord-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
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