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INSPIRE: Map of the distribution of sand and gravel in the Northern German glacial area

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.

INSPIRE: Map of the distribution of sand and gravel in the Northern German glacial area (WMS)

The WMS 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 Specification on Mineral Resources (D2.8.III.21) and Geology (D2.8.II.4_v3.0) the map provides INSPIRE-compliant data. The WMS GK2000 Lagerstätten (INSPIRE) contains the following layers: MR.MineralOccurence.Commodity represents the distribution of sand and gravel. GE.GeomorphologicFeature shows the southernmost maximum of the Scandinavian inland ice sheet (Saalian and Elsterian glaciation).

Ichthyofauna (Osteichthyes, Actinopterygii) from tributaries of the Beni and Mamoré rivers in the Llanos de Moxos wetland of the Bolivian Amazon

<p>This dataset is an update to Supplemental Material Table S1 from the paper: Yunoki T, Echeverria AR, Cholima RB, Miranda Ch. G, Moreno FA (2025). Ichthyofauna (Osteichthyes, Actinopterygii) from tributaries of the Beni and Mamoré rivers in the Llanos de Moxos wetland of the Bolivian Amazon. Check List 21: 318–346.</p><p>Specimen images associated with the occurrence records have been deposited in Zenodo across several archived sets. Each image reference in the associatedMedia field includes:</p><p>A direct URL linking to the individual image file hosted on Zenodo (e.g., https://zenodo.org/records/.../files/image.JPG</p><p>The DOI of the complete dataset in which the image is archived (e.g., https://doi.org/...)</p><p>This format ensures both persistent citation via dataset DOIs and straightforward access to individual images. The current version improves traceability between image files and their corresponding occurrence records.</p><p>Image sets are available at the following DOIs:</p><p>https://doi.org/10.5281/zenodo.15748915</p><p>https://doi.org/10.5281/zenodo.15749855</p><p>https://doi.org/10.5281/zenodo.15750205</p><p>https://doi.org/10.5281/zenodo.15750430</p><p>https://doi.org/10.5281/zenodo.15750726</p><p>https://doi.org/10.5281/zenodo.15754796</p><p>https://doi.org/10.5281/zenodo.15755252</p><p>https://doi.org/10.5281/zenodo.15756212</p><p>https://doi.org/10.5281/zenodo.15756460</p>

Vegetation data of four different short rotation coppice (SRC) life stages

<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>

Butterfly abundance data of four different short rotation coppice (SRC) life stages

<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>

Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany

<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) &amp; 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>

Fish Occurrence Database of the Family Aphaniidae

The database contains 1064 geo-referenced distribution data of fish species of all genera within the family Aphaniidae. The data has been partially downloaded from GBIF, and has been quality checked and is now being uploaded again by providing additional data from published scientific and grey literature as well as from site scale records. Detailed metadata can be found in the Freshwater Metadatabase (http://data.freshwaterbiodiversity.eu/metadb/bf_mdb_view.php?entryID=FWM_29) and in the Freshwater Metadata Journal (https://doi.org/10.15504/fmj.2020.48).

Biodiversity data of gravel pit lakes in Northern Germany

This dataset contains information on species presence in and at lakes in Northern Germany. Most of the lakes are gravel pit lakes. All lakes that contain "fish data" only are natural lakes (N=6). Depending on lake and biological taxa, lakes were sampled several times. This datasheet contains information on species presence from the first sampling event to represent roughly equal sampling efforts between the lakes. The complete database with all sampling events is available via www.fred.igb-berlin.de (DOI: 10.18728/igb-fred-807.0) Detailed metadata can be found in the Freshwater Metadatabase (http://data.freshwaterbiodiversity.eu/metadb/bf_mdb_view.php?entryID=FWM_38) and in the Freshwater Metadata Journal (https://doi.org/10.15504/fmj.2023.53).

Large Branchiopoda occurrence data in the Northern Western Ghats, India

The field data provide species distribution data of a freshwater invertebrate group called large branchiopods from freshwater habitats from one of the megadiverse regions of the world, Western Ghats of India. The data have been collected from 2009 until 2017 at 45 localities. Qualitative representative sampling was carried out using a hand net having a mesh size of 150 µm. A total of 12 species including three new endemic species and two distinct populations of large branchiopods were observed in the sampled localities (Schwentner et al. 2012; Rogers and Padhye 2014; Padhye and Ghate 2016; Padhye et al. 2018; Modak et al. in press). These habitat data, therefore, are important in the context of biodiversity conservation planning and management in general. Detailed metadata can be found in the Freshwater Metadatabase (http://data.freshwaterbiodiversity.eu/metadb/bf_mdb_view.php?entryID=FWM_21) and in the Freshwater Metadata Journal (http://data.freshwaterbiodiversity.eu/metadb/showfmjarticle.php?dbcode=FWM_21).

Indian Ocean Islands - Historic Freshwater Diatom Data

The data collection contains species occurrence records of freshwate diatom taxa from the Indian Ocean Islands (Madagascar, Mauritius, Seychelles). The species records have been collated from existing historical museum records and collections as well as from published scientific literature sources. The data set is a work in progress and more data will be added to it over time. The focus initially will be on Madagascar, followed by the smaller islands in no particular order.

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