cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.961888
title: Grain size distributions (GSD) for samples collected across the Rio Grande Delta upstream of Elephant Butte Reservoir (July 2021-September 2022)

description: Grain size distributions (GSD) were determined in the lab for four sample types: bed material, suspended sediment, reservoir water, and stratigraphic column samples. Sediment samples were collected from the Rio Grande Delta upstream of Elephant Butte Reservoir in New Mexico during four field campaigns spanning between July 2021 and September 2022: (1) July 4-6, 2021, (2) March 20-22, 2022, (3) May 6-8, 2022, and (4) September 16-18, 2022. GSD were averaged over 5 total measurements with a Malvern Mastersizer 3000 laser diffraction grain size analysis system with a Hydro LV dispersion unit. The purpose of this analysis was to characterize the grain sizes of sediments in the Rio Grande Delta for material finer than gravel (sand, silt, and clay).
description: 1. Bed material, mostly from the Rio Grande bed, and a few from mid-channel bars and/or just off the river mouth.2. Suspended sediment, all from the Rio Grande during active flow. Samples were collected at 2/3 of the total depth in the river water column. 3. Reservoir water, collected downstream from the mouth of the Rio Grande. "Top" in the location name means the sample was collected 0.5 m below the water surface, and "Bottom" means the sample was collected 0.5 m above the bed.4. Stratigraphic column, which were samples collected from shallow stratigrahpic pits in the deltaic floodplain, and the banks of the Rio Grande.
DOI: 10.1594/pangaea.961889
title: Sediment characteristics across the Rio Grande Delta upstream of Elephant Butte Reservoir (July 2021-September 2022)

description: Sediment and sediment-water samples were collected within the Rio Grande channel and its delta upstream of Elephant Butte Reservoir during four field campaigns spanning between July 2021 and September 2022: (1) July 4-6, 2021, (2) March 20-22, 2022, (3) May 6-8, 2022, and (4) September 16-18, 2022. Sediment analyses were conducted on four sample types: (1) suspended sediment, collected from water in the Rio Grande channel at two-thirds of the total channel depth below the water surface, (2) bed material, from the Rio Grande channel, (3) shallow stratigraphic column samples, collected from 0 to 0.5 meters in depth in the Rio Grande Delta, and (4) Elephant Butte Reservoir water samples, collected near the mouth of the Rio Grande at the top (0.5 m below the water surface) and bottom (0.5 m above the bed) of the water column. The sediment analyses reported herein include computing Suspended Sediment Concentration (SSC) for sample types 1 and 4, and Organic Matter Content (%) for all sample types (1-4). SSC was determined by measuring the water volume of the sample, then freeze-drying and weighing the mass of sediment to obtain a concentration (kg/m^3). OM% was determined by performing Loss on Ignition (LOI) on all sample types (1-4), which removes organic material from the sample through exposure to high temperatures in a muffle furnace. The purpose of these analyses was to characterize the amount and type of sediment transported and deposited within Elephant Butte Reservoir and its delta during different times of the year.
description: 1. Bed material, mostly from the Rio Grande bed, and a few from mid-channel bars and/or just off the river mouth.2. Suspended sediment, all from the Rio Grande during active flow. Samples were collected at 2/3 of the total depth in the river water column. 3. Reservoir water, collected downstream from the mouth of the Rio Grande. "Top" in the location name means the sample was collected 0.5 m below the water surface, and "Bottom" means the sample was collected 0.5 m above the bed.4. Stratigraphic column, which were samples collected from shallow stratigrahpic pits in the deltaic floodplain, and the banks of the Rio Grande.
DOI: 10.1594/pangaea.964896
title: Grain size distribution of sediment core NBP19-02_KC19
DOI: 10.1594/pangaea.964936
title: CT Number of sediment core NBP19-02_JGC17
DOI: 10.1594/pangaea.964937
title: CT Number of sediment core NBP19-02_JGC11
DOI: 10.1594/pangaea.964938
title: CT Number of sediment core NBP19-02_KC04
DOI: 10.1594/pangaea.964940
title: CT Number of sediment core NBP19-02_KC15
DOI: 10.1594/pangaea.965011
title: Magnetic susceptibility of sediment core NBP19-02_KC04
DOI: 10.1594/pangaea.965012
title: Magnetic susceptibility of sediment core NBP19-02_KC13
DOI: 10.1594/pangaea.965013
title: Magnetic susceptibility of sediment core NBP19-02_KC15
DOI: 10.1594/pangaea.964891
title: Grain size distribution of sediment core NBP19-02_JGC17
DOI: 10.1594/pangaea.964941
title: CT Number of sediment core NBP19-02_KC19
DOI: 10.1594/pangaea.964892
title: Grain size distribution of sediment core NBP19-02_KC04
DOI: 10.1594/pangaea.964942
title: CT Number of sediment core NBP19-02_KC23
DOI: 10.1594/pangaea.964899
title: Grain size distribution of sediment core NBP19-02_MC16
DOI: 10.1594/pangaea.965016
title: Lead content of sediment cores from cruise NBP19-02
DOI: 10.1594/pangaea.964893
title: Grain size distribution of sediment core NBP19-02_KC13
DOI: 10.1594/pangaea.965758
title: Modern benthic foraminifera census and grain-size of surface sediments offshore Thwaites Glacier, Antarctica

description: This dataset includes two procedures: grain-size measurements and modern (rose-bengal stained) benthic foraminifera census offshore Thwaites Glacier. Sediment underwent staining with a rose-bengal ethanol solution for a minimum of 24 hours. Subsequently, the samples were dried, split, and identified for the foraminifera census. Grain-size measurements were conducted on approximately five cubic centimeters of a duplicate Multicore. Thesamples were dispersed using a sodium hexametaphosphate solution for at least 24 hours before being analyzed with a Cilas 1190 laser particle size analyzer. The grain size is reported based on the diameter at which a certain percentage of grains are coarser. For instance, the D90 measurement signifies the diameter at which 90% of grains are coarser.
DOI: 10.15468/dl.7j787d
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrgilauda theresae"
 ]
}

 The dataset includes 54 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017837-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktwbet
title: Occurrence Download

description: A dataset containing 815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagenocarpus verticillatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 815 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017838-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.931054
title: Modern monthly precipitation with additional 300mm all throughout Northern Africa, distributed over the summer months, used for the vegetation model simulation in figure 2a

description: This dataset of 10 files (D1 to D10) provides all data used to perform the model simulations, the reconstructed modern climate from pollen samples collected in Morocco and the related modern pollen samples. More specifically here follows the description of each file from D1 to D10: D1-prcMEAN1901_1930.dat is the modern monthly precipitation with additional 300mm all throughout Northern Africa, distributed over the summer months, used for the vegetation model simulation in figure 2a. D2-prcMEAN1901_1930.dat is the modern monthly precipitation with additional 300mm for the vegetation model simulation in figure 3a. This dataset includes additional 300mm precipitation below 18°N during the summer season, above 24°N during the winter season, and a progressive transition of the additional 300mm between 18°N and 24°N (see table S2). D3-biomeMEAN1901_1930.res corresponds to the simulated biomes values using HADCM3 climatology (figure 1b). D4-nppmthMEAN1901_1930.res corresponds to the simulated NPP values using HADCM3 climatology (figure 1c). D5-biomeMEAN1901_1930.res corresponds to the biomes values using precipitation scenario for the second CARAIB simulation (figure 2b). D6-nppmthMEAN1901_1930.res corresponds to the NPP values using precipitation scenario for the second CARAIB simulation (figure 2c). D7-biomeMEAN1901_1930.res corresponds to the biomes and NPP values using precipitation scenario for the third CARAIB simulation (figure 3b). D8-nppmthMEAN1901_1930.res corresponds to the NPP values using precipitation scenario for the third CARAIB simulation (figure 3c). D9-surf_data.csv is the modern pollen data set used for reconstructing the modern precipitation in Morocco (figure S5). D10-surf_prc.csv is the modern pollen-based reconstruction of precipitation (figure S5).
DOI: 10.1594/pangaea.925837
title: Precipitation pollen-based climate reconstruction of a sediment core from Lake Tislit
DOI: 10.1594/pangaea.925821
title: Radiocarbon dates of a sediment core from Lake Tislit
DOI: 10.1594/pangaea.51743
title: Grain size classes after Kolb (BC) of surface sediment samples IOW172160 to IOW188110 from the Baltic Sea
DOI: 10.1594/pangaea.973696
title: Mass accumulation rates from ODP Hole 112-680A, Peruvian Margin

description: This data consists of Mass accumulation rates of molybdenum and uranium from sediments collected during the ODP Expedition 112 borehole 680A at the Peruvian Margin. Moxs and Uxs averages per MIS were calculated using data from Gueguen et al (2016) and data from https://doi.pangaea.de/10.1594/PANGAEA.973695.
DOI: 10.1594/pangaea.983349
title: Carbon in sediment cores from the Western Irish Sea Mud Belt, June 2022

description: Sediment cores were split lengthwise using a Geotek core splitter at the British Ocean Sediment Core Research Facility (BOSCORF). A U-channel of known volume was used to extract samples from the centre of each core at depth intervals: every 2 cm for the top 20 cm of the sediment core, every 5 cm between 20–50 cm, and every 10 cm beyond 50 cm. Samples were freeze-dried and homogenised, and both wet and dry weights were recorded before analysis. Sediment dry bulk densities were estimated by dividing the mass of dry sediment (g) by the original volume of sediment sampled (cm3). The organic carbon and total carbon concentrations were measured using a Flash 2000 Elemental Analyser. The inorganic carbon was removed via acid fumigation before organic carbon analysis. Sediment carbon density (SCD, gC/cm3) was estimated by multiplying the sediment organic carbon concentration (%) by the sediment dry bulk density (g/cm3).
DOI: 10.1594/pangaea.984199
title: A multi-biomarker approach using caged blue mussel, Mytilus edulis, on three World War shipwrecks in the North Sea

description: This dataset contains results from a field-based exposure study assessing the biological effects of submerged munitions on the marine bivalve Mytilus spp.. Mussels were collected from Sylt Island (North Sea) and exposed at three historic munition wrecks: SMS Mainz (Germany), KW58 Hendericus (Belgium), and UC30 (Denmark). At each site, mussel cages were deployed directly on or near the wreck structures for several weeks.After recovery, mussels were assessed for mortality and dissected for histochemical and biochemical analyses. Tissues (gills, mantle, and digestive gland) were examined for histological biomarkers including lipofuscin, glycogen, neutral lipids, as well as sex and gonadal maturity. Enzymatic activities of catalase (CAT) and glutathione S-transferase (GST) were measured spectrophotometrically and normalized to protein content.
DOI: 10.15468/dl.unzcwy
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidosperma gibsonii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017839-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjdr3m
title: Occurrence Download

description: A dataset containing 500703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-12-12",
 "EventDate is less than or equal to 2026-01-11",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 500703 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017828-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.973695
title: Elemental and isotopic data from from ODP Hole 112-680A, Peruvian Margin

description: The data are from sediments collected during ODP Expedition 112, borehole 680A, at the Peruvian Margin. The dataset includes concentrations of Al (mg/g), Fe (mg/g), Mn (mg/g), P (mg/g), K (mg/g), Ca (mg/g), Na (mg/g), Mo (µg/g), U (µg/g), N (%), S (%), TOC (%), TC (%), Fe extracted by sodium acetate (%), Fe extracted by sodium dithionite (%), Fe in magnetite (%), Fe in pyrite, δ¹⁵N (‰), δ¹³C (‰) in the organic fraction of sediments, and δ⁹⁸Mo (‰) from 45 different samples. The aim of collecting these data was to investigate how oxygen levels at the seafloor and in the water column fluctuated from the Pliocene to the Pleistocene.
DOI: 10.1594/pangaea.973697
title: Qualitative productivity interpolated on ODP Hole 112-680A, Peruvian Margin

description: This data consists of productivity from sediments collected during the ODP Expedition 112m borehole 680A at the Peruvian Margin. Depths are from samples analyzed in Gueguen et al. (2016) and in https://doi.pangaea.de/10.1594/PANGAEA.973695. Productivity was interpolated to the depths using a qualitative curve published by Schrader and Sorknes (1991). Values are qualitative and dimensionless.
DOI: 10.1594/pangaea.974801
title: Colouration of coral Xenia umbellata in a aquarium experiment

description: One colony per tank (n = 3 per treatment) was photographed every 7 days in a 25°C tank using an Olympus TG6 (ISO 100, f/1.4, 4x magnification). Images were analysed in Photoshop, selecting the opening of the gastrovascular cavity and tentacles of three polyps. RGB pixel values were measured and converted to inverted luminosity, where lower values indicate bleaching and higher values indicate darkening. Xenia umbellata originates from the Red Sea.
description: Study location: Aquarium experiment at the University of Bremen, GermanyTreatments: 3 carbon enrichment treatments of 20 mg C/L. DOM (glucose), 2. POM (phytoplankton), 3. POM (zooplankton)Date of study: May 2022Duration of study: 28 daysSpecies information: Xenia umbellata native to the Indo-Pacific and Red Sea
DOI: 10.1594/pangaea.965006
title: Magnetic susceptibility of sediment core NBP19-02_JGC17
DOI: 10.1594/pangaea.965010
title: Magnetic susceptibility of sediment core NBP19-02_JGC11
DOI: 10.1594/pangaea.964887
title: Radiocarbon ages of sediment cores from cruise NBP19-02
DOI: 10.1594/pangaea.964888
title: Water content of sediment cores from cruise NBP19-02
DOI: 10.1594/pangaea.964890
title: Grain size distribution of sediment core NBP19-02_JGC11
DOI: 10.1594/pangaea.964884
title: Roughness coeffcient of sediment cores from cruise NBP19-02
DOI: 10.1594/pangaea.987504
title: Age-depth model of IODP Hole 354-U1451A, Bay of Bengal, since the Late Miocene

description: Biostratigraphic and magnetostratigraphic tie points (France-Lanord et al., 2016; Weber & Reilly, 2018), tuned with lightness (L*) records.
DOI: 10.1594/pangaea.987507
title: Mean grain size and sortable silt volume percentages from hemipelagic vs. turbiditic intervals of IODP Hole 354-U1451A, Bay of Bengal, since the Late Miocene
DOI: 10.1594/pangaea.987509
title: Sortable silt grain-size distributions, textural fractions, and derived hydrodynamic parameters of IODP Hole 354-U1451A, Bay of Bengal, since the Late Miocene
DOI: 10.1594/pangaea.881071
title: Manipulation experiment on phytoplankton diversity, species composition and biomass

description: Ecological research in recent decades revealed that species loss has a predominantly negative effect on ecosystem functioning and stability. Most of these studies were based on random species loss scenarios, but extinctions in nature are not random. Recent experimental studies using macroscopic communities largely advanced knowledge about the effects of non-random species loss. However, in microscopic communities like the phytoplankton, implementing realistic species loss scenarios is challenging and experimental data are scarce. Creating more realistic experiments to study the role of phytoplankton diversity for ecosystem functioning is particularly important, as they provide up to 50% of global primary productivity, form the basis of all pelagic food webs, and are important for biogeochemical cycling. In this study, we experimentally tested and evaluated three methods for non-random species loss in a natural marine phytoplankton community. Dilution, filtration, and heat stress removed the targeted rare, large, and sensitive species, respectively. All these species groups are extremely vulnerable to extinction in future climate scenarios and play important roles in the communities. Dilution and filtration with a fine mesh additionally decreased initial biomass, which increased the variability of species left in the respective replicates. The methods tested in this study can be used to non-randomly manipulate phytoplankton species diversity in communities used for experiments. However, in studies where species identities are more important than species richness, the dilution and filtration methods should be modified to eliminate the effect of decreasing initial biomass.
description: Supplement to: Engel, Friederike G; Lewandowska, Aleksandra M; Eggers, Sarah Lena; Matthiessen, Birte (2017): Manipulation of Non-random Species Loss in Natural Phytoplankton: Qualitative and Quantitative Evaluation of Different Approaches. Frontiers in Marine Science, 4
DOI: 10.1594/pangaea.987483
title: Stable carbon and oxygen isotope data from bulk carbonates from DSDP Site 77-540
DOI: 10.1594/pangaea.987484
title: Grain size analysis of DSDP Site 77-540
DOI: 10.1594/pangaea.987492
title: XRF elemental count data at the 10kV and 30kV excitation levels of DSDP Site 77-540

description: Data have been quality controlled for positive Ar values.
DOI: 10.1594/pangaea.980730
title: Biomarkers and their isotope ratios of IODP Site 363-U1486
DOI: 10.1594/pangaea.980727
title: Age model of IODP Site 363-U1486
DOI: 10.1594/pangaea.980728
title: Stable carbon and oxygen isotope ratios of Cibicidoides of IODP Site 363-U1486
DOI: 10.15468/dl.y44vr4
title: Occurrence Download

description: A dataset containing 2737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidosperma laterale",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2737 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017841-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.962000
title: CTD data for Elephant Butte Reservoir near the mouth of the Rio Grande (March and May 2022)

description: Conductivity, Temperature, and Depth (CTD) data was collected within and near the mouth of the Rio Grande in March and May 2022 to measure potential water column stratification. CTD data was collected with a SonTek CastAway CTD from a packraft.
DOI: 10.1594/pangaea.962005
title: Pebble count data for two gravel bars on the Rio Grande above Elephant Butte Reservoir, New Mexico, USA (September 2022)

description: Wolman pebble counts were conducted on point bars along the Rio Grande channel upstream of Elephant Butte Reservoir in September 2022 to characterize the typical grain sizes of gravels that are commonly found on point bars, mid-channel bars, and on the Rio Grande channel bed (Wolman, 1954).
DOI: 10.1594/pangaea.961890
title: Air and water temperature across the Rio Grande Delta upstream of Elephant Butte Reservoir (March 2022 - September 2022)

description: Temperature was measured at 15-minute intervals between March 21 and September 17, 2022. The temperature dataset includes: (1) continuous measurements of air temperature from a control location in the Rio Grande Delta, and (2) a combination of air and water temperature from the Rio Grande Delta upstream of Elephant Butte Reservoir, as it became inundated by river flooding and high reservoir levels during a portion of the study. The temperature data were collected with HOBO Tidbit v2 Temp Loggers that were installed on wooden stakes two centimeters above the ground. The purpose of this data collection effort was to determine the amount of time the Rio Grande Delta floodplain was inundated by water to help constrain sedimentation rates.
DOI: 10.15468/dl.7nttjm
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepironia articulata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 543 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017842-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3084475/2551525
title: Data for EMSL Project 51287 from April 2024