https://researchdata.se/en/catalogue Search results en Dataset of 3D reconstructions of the foraminifer Elphidium clavatum (marine protist with a calcite shell) acquired at the Beamline BL 47XU, SPring-8 synchrotron facility (Japan). A voxel size of 0.5 µm was used. In total, 124 specimens of Elphidium clavatum were scanned. For each specimen are available: a collection of raw images ("cropped" folder), a collection of binary images ("mask" folder), a 3D reconstruction (STL file), and two snapshot images of the 3D reconstruction. Sediment cores were collected in 2013 during a cruise with R/V Skagerak at Öresund station DV, north of the Island of Ven (55°55.59′ N, 12°42.66′ E). From the sediment core, 16 sediment layers were selected, representing the last 200 years (i.e., roughly the years ~2013, ~2010, ~2005, ~2002, ~1993, ~1986, ~1978, ~1960, ~1939, ~1923, ~1906, ~1890, ~1873, ~1857, ~1840, and ~1807). Between five to ten Elphidium clavatum specimens were selected from each layer. The dataset is part of the study exploring 3D time series of microfossils recording environmental conditions in the Baltic Sea entrance from the period early industrial (the 1800s) to present-day (the 2010s). The size of the dataset is 57 GB. Please contact the main author for further details. 124 specimens of Elphidium clavatum from 16 sediment layers were scanned. For each specimen, the following files are available: a collection of raw images in TIF format ("cropped" folder), a collection of binary images in TIF format ("mask" folder), a 3D reconstruction in STL format, and two snapshot images of the 3D reconstruction in TIF or PNG format. A voxel size of 0.5 µm was used. The data for each specimen is stored in a folder named as follows: DV(sediment depth in cm)-sp(specimen number)-(estimated year), e.g., “DV1-sp2-2013” (sediment depth: 1 cm, specimen 2, estimated year 2013). Examples of suitable software for handling the files include ImageJ and MeshLab. Total number of files: 69,652 (plus a readme file with documentation) Total number of folders: 390 Dataset size: 57,1 GB Thu, 16 Mar 2023 10:22:15 GMT https://researchdata.se/en/catalogue/dataset/2023-40-1 https://researchdata.se/en/catalogue/dataset/2023-40-1 Lund University Constance Choquel Dataset of Ba/Ca in Bulimina marginata and Nonionellina labradorica (CTG-labelled) acquired by Laser-Ablation Inductively Coupled Mass Spectrometry (LA ICP MS; Department of Geology, Lund University, Lund, Sweden). Comprises data of the three most-recently formed chambers (n, n-1 and n-2), as well as the proloculus area (p; B. marginata only). The specimens were collected from core-top samples of two sites in Gullmar Fjord, Swedish West coast, Sweden over a temporal gradient spanning the year 2018 and 2019. The data set is part of a study exploring the response of foraminiferal Ba/Ca to contrasting hydroclimatic conditions. A publication including this data is currently ongoing. Please contact the main author for further details (inda.brinkmann@geol.lu.se). Gullmar Fjord was sampled in September 2018, February 2019 and June 2019 (R/V Oscar von Sydow and R/V Skagerak, respectively) at GF 117 (115–117 m; 58º19.695’N, 11º33.147’E) and GF 71 (69–71 m; 58º17.116’N, 11º30.546’E). Sediment cores were recovered with a GEMAX® twin-barrel corer (modified Gemini corer, 9 cm diameter, from Oy Kart AB, Finland). The top 1 cm of the cores were collected and CTG-labelled to identify living foraminifera. Bulimina marginata and Nonionellina labradorica specimens were selected and bleached (NaOCl 5%). Trace element concentrations of test walls were analysed using a Bruker Aurora Elite (quadrupole) ICP‐MS and a 193 nm Cetac Analyte G2 excimer laser installed with a two volume HelEx2 sample cell (Dept. of Geology, Lund University, Lund, Sweden). U.S. National Institute of Standards and Technology SRM NIST610 was used as external calibration material with GeoReM (Geological and Environmental Reference Materials; Jochum et al., 2005) composition values (via http://georem.mpch-mainz.gwdg.de). Tue, 29 Mar 2022 09:31:19 GMT https://researchdata.se/en/catalogue/dataset/2021-318-1 https://researchdata.se/en/catalogue/dataset/2021-318-1 Lund University Inda Brinkmann Dataset of Mn/Ca in Bulimina marginata and Nonionellina labradorica (CTG-labelled) acquired by Laser-Ablation Inductively Coupled Mass Spectrometry (LA-ICP-MS). Comprises data of the three most-recently formed chambers (n, n-1 and n-2), as well as the proloculus area (p; B. marginata only). The specimens were collected from core-top samples of two sites in the fjord Gullmarn on the west coast of Sweden over a temporal gradient spanning the years 2018 and 2019. The data set is part of a study exploring the response of foraminiferal Mn/Ca to low-oxygen bottom-water conditions. Sediment from the fjord Gullmarn was sampled in September 2018, February 2019 and June 2019 (R/V Oscar von Sydow and R/V Skagerak, respectively) at two sites: GF 117 (115–117 m water depth; 58º19.695’N, 11º33.147’E) and GF 71 (69–71 m water depth; 58º17.116’N, 11º30.546’E). Sediment cores were recovered with a GEMAX® twin-barrel corer (modified Gemini corer, 9 cm diameter, from Oy Kart AB, Finland). The top 0-1 and 1-2 cm of the cores were collected and CTG-labelled to identify living foraminifera. Bulimina marginata and Nonionellina labradorica specimens were selected and bleached (NaOCl 5%). Trace element concentrations of test walls were analysed using a Bruker Aurora Elite (quadrupole) ICP‐MS and a 193 nm Cetac Analyte G2 excimer laser installed with a two volume HelEx2 sample cell (Dept. of Geology, Lund University, Lund, Sweden). U.S. National Institute of Standards and Technology SRM NIST610 was used as external calibration material with GeoReM (Geological and Environmental Reference Materials; Jochum et al., 2005) composition values (via http://georem.mpch-mainz.gwdg.de). Please contact the main author for further details. Thu, 30 Mar 2023 07:08:17 GMT https://researchdata.se/en/catalogue/dataset/2023-61-1 https://researchdata.se/en/catalogue/dataset/2023-61-1 Lund University Inda Brinkmann Dataset of Mn/Ca, Mg/Ca and Sr/Ca of the three most-recently formed chambers (n, n-1 and n-2) of Nonionella stella (CTG-labelled) acquired by Secondary Ion Mass Spectrometry (SIMS; Nordsim, Stockholm, Sweden). Nonionella stella specimens were collected from core-top samples of three sites over a depth-gradient in the Santa Barbara Basin, off Southern California, USA. The data set is part of a study exploring the response of foraminiferal Mn/Ca to changing bottom-water oxygenation and pore-water Mn geochemistry. The data is discussed in: Brinkmann, I., Ni, S., Schweizer, M., Oldham, V. E., Quintana Krupinski, N. B., Medjoubi, K., et al. (2021). Foraminiferal Mn/Ca as bottom-water hypoxia proxy: An assessment of Nonionella stella in the Santa Barbara Basin, USA. Paleoceanography and Paleoclimatology, 36, e2020PA004167. https://doi.org/10.1029/2020PA004167. Please contact the main author for further details (inda.brinkmann@geol.lu.se). The northern SBB was sampled in May 2018 (cruise SP1811, R/V Robert Gordon Sproul) at site 1 (430 m; 34º 18.6’N, 119º 54.0’W), site 2 (505 m; 34º 20.8’N, 119º 59.0’W) and site 3 (567 m; 34º 19.2’N, 120º 03.4’W). Sediment cores were recovered with a Ocean Instruments MC800 multicorer. The cores were sliced into 0.5 cm sections (‘0–0.5 cm’, ‘0.5–1.0 cm’, ‘1.0–1.5 cm’ and ‘1.5–2.0 cm’; site 1 also 'fluff') and CTG-labelled to identify living foraminifera. Nonionella stella specimens were selected and bleached (NaOCl 5%) prior to epoxy-embedding. Trace element concentrations of test walls were analysed using a CAMECA ims1280 ion microprobe (Nordsim Laboratory, Swedish Museum of Natural History, Stockholm, Sweden); an OKA calcite crystal served as reference material. Fri, 15 Oct 2021 05:28:59 GMT https://researchdata.se/en/catalogue/dataset/2020-182-1 https://researchdata.se/en/catalogue/dataset/2020-182-1 Lund University Inda Brinkmann Supplementary tables for the Review article "Connectivity and Population Structure in a Marginal Sea - a Review" (https://doi.org/10.1111/ddi.70056). Contains information on connectivity and population structure within marine species inhabiting the Skagerrak sea, summarised from scientific studies published between the years 1990 and 2023. Table S1: List of all 484 scientific studies that were screened, as well as information regarding whether they were included in the literature review. Table S2: Contains extracted data from the 172 scientific studies, published between 1990 and 2023, that were reviewed with regard to connectivity and population structure in the Skagerrak. The data includes information about both the studies' methodology (such as scientific discipline, spatial and temporal scale, and sample size) and results (such as which populations were identified and estimated connectivity between different regions). Table S3: Detailed summary of the scientific studies that studied contemporary connectivity on a "large" scale (between the Skagerrak sea and adjacent seas). For species with information from several studies, a concensus result for the species was created. Table S4: Detailed summary of the scientific studies that studied contemporary connectivity on a "small" scale (within the Skagerrak sea). For species with information from several studies, a concensus result for the species was created. Table S5: Detailed summary of the scientific studies that studied population structure, both within the Skagerrak Sea and between the Skagerrak and adjacent seas. For species with information from several studies, a concensus result for the species was created. Tables S6-S7: Settings for the BARRIER analysis conducted in the study. For more detailed descriptions of the content we refer to the text in the original study. This dataset is listed as "Deliverable 2.2" of the MARHAB project (Horizon Europe, grant number 101135307). Mon, 10 Nov 2025 12:52:33 GMT https://researchdata.se/en/catalogue/dataset/2025-294 https://researchdata.se/en/catalogue/dataset/2025-294 University of Gothenburg Simon Henriksson Per Erik Jorde Charlotte Berkström Guldborg Søvik Pierre De Wit Halvor Knutsen Even Moland Carl André Marlene Jahnke