cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.984427
title: Biogeochemistry measurements from discrete underway samples collected during cruise GLICE in Disko Bay, RV Sanna, August 2022

description: Cruise GLICE was conducted on RV Sanna in Disko Bay in August 2022. Throughout the cruise, a towfish was towed alongside the vessel at approximately 1-2 m depth allowing a clean supply of seawater to be pumped into the wet lab. Discrete samples were collected from this underway flow at regular intervals using a laminar flow hood to maintain trace metal clean conditions. Additionally, a separate underway supply was passed through a sensor box to provide underway salinity, temperature, chlorophyll and turbidity measurements (YSI EXO1). Trace metal samples were filtered and acidified at sea, then returned to GEOMAR for analysis after offline preconcentration using a seaFAST system. Nutrient samples were filtered and frozen at sea, then returned to GEOMAR via analysis via an autoanalyzer.
description: Values below detection are given as &lt;0.01 in the data matrix.
DOI: 10.1594/pangaea.984516
title: Biogeochemistry measurements from profiles collected during cruise GLICE in Disko Bay, RV Sanna, August 2022

description: Vertical profiles were collected around Disko Bay in August 2024 focusing mainly on the upper 100 m of the water column which is affected by meltwater from Greenland. Samples were retained for macronutrients (nitrate, phosphate and dSi), DOC/DON, and carbonate chemistry (total alkalinity and pH). Bottle files from the CTD casts (SBE 911plus, Sea-Bird) are included with the measurements. Further details are available from the cruise report.
description: Values below detection are given as &lt;0.01 in the data matrix.
DOI: 10.1594/pangaea.984566
title: Inshore biogeochemical samples collected from Disko Fjord and Saqqarleq Fjord during August 2022

description: In parallel with a summertime cruise in Disko Bay (GLICE, August 2022), small vessels were used to sample the meltwater-rich areas at the entrance of Disko Fjord and in Saqqarleq Fjord (the southern branch of the Icefjord system). Discrete samples were collected from surface fjord waters and GO-FLO bottles were deployed down to 40 m to collect short profiles through the salinity stratified surface layer. Samples were retained for nutrients and dissolved trace metals. Surface water properties were determined using a YSI EXO-1 sensor to provide salinity, temperature, chlorophyll and turbidity data. A SBE 911plus CTD (Seabird) was used to conduct profiles down to 40 m. CTD bottle files are presented with discrete macronutrient and trace metal concentrations. Macronutrient samples were frozen and analyzed via autoanalyzer upon return to GEOMAR. Trace metal samples were filtered, acidified and analyzed upon return to GEOMAR after offline preconcentration using a seaFAST system.
description: Values below detection are given as &lt;0.01 in the data matrix.
DOI: 10.1594/pangaea.985003
title: Ground Control Points along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: Ground Control Points (topography) obtained along the coastal plain of Babitonga Bay- Santa Catarina, Brazil. Fieldwork was conducted in August 2017 to collect planialtimetric data using a Trimble Catalyst antenna equipped with a Differential Global Navigation Satellite System (GNSS) with a sub-meter correction. The planimetric data (±30 cm) and altimetric data (±10 cm) for the GCPs were obtained using the Catalyst and theodolite, respectively. Coordinates of Ground Control Points were obtained by drone aerophotogrammetry using the Agisoft Metashape Professional version 1.8.4.
DOI: 10.1594/pangaea.985004
title: Estimated ages of sediment core SF-07 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: The cores were collected during the winter season in August 2017 using Russian-type sampling equipment. Sediment cores were obtained from tidal flats colonized by mangroves (SF-07, SF-08), herbs (SF-09), and ombrophilous forest (SF-10).
DOI: 10.1594/pangaea.985005
title: Estimated ages of sediment core SF-08 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: The cores were collected during the winter season in August 2017 using Russian-type sampling equipment. Sediment cores were obtained from tidal flats colonized by mangroves (SF-07, SF-08), herbs (SF-09), and ombrophilous forest (SF-10).
DOI: 10.1594/pangaea.985007
title: Estimated ages of sediment core SF-09 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: The cores were collected during the winter season in August 2017 using Russian-type sampling equipment. Sediment cores were obtained from tidal flats colonized by mangroves (SF-07, SF-08), herbs (SF-09), and ombrophilous forest (SF-10).
DOI: 10.1594/pangaea.985008
title: Estimated ages of sediment core SF-10 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: The cores were collected during the winter season in August 2017 using Russian-type sampling equipment. Sediment cores were obtained from tidal flats colonized by mangroves (SF-07, SF-08), herbs (SF-09), and ombrophilous forest (SF-10).
DOI: 10.1594/pangaea.985009
title: Vegetation survey along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: Fieldwork was conducted in August 2017 to collect planialtimetric data using a Trimble Catalyst antenna equipped with a Differential Global Navigation Satellite System (GNSS) with a sub-meter correction. The planimetric data (±30 cm) and altimetric data (±10 cm) for the GCPs were obtained using the Catalyst and theodolite, respectively. Vegetation heights were measured for mangrove using a 4-meter ruler. Fourteen 10x10 meter plots were established to assess the density, height, and diameter at the breast height of mangrove trees. Porewater salinity was measured with a refractometer.
DOI: 10.1594/pangaea.985016
title: Radiocarbon ages of sediment cores obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: These cores were collected during the winter season in August 2017 using Russian-type sampling equipment. Sediment cores were obtained from tidal flats colonized by mangroves (SF-07, SF-08), herbs (SF-09), and ombrophilous forest (SF-10). All samples were combusted in the benzene synthesis line, transformed to CO2 and encapsulated at the 14C Laboratory of CENA. Sedimentation rates were estimated using the sample depths and time intervals. The CO2 samples were analyzed at the AMS Radiocarbon Laboratory (UGAMS), Center for Applied Isotope Studies, University of Georgia, Georgia, USA. Radiocarbon ages were normalized to a δ13C of −25‰ VPDB and reported as calibrated years (cal yr BP) (2σ).
DOI: 10.1594/pangaea.985064
title: Pollen counts in sediment core SF-07 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: Fieldwork was conducted in August 2017 to sample sediment cores. The sediment cores were subsampled (1 cm³) at 5 cm intervals, resulting in a total of 125 samples that were processed using standard pollen analytical techniques, including acetolysis (Faegri and Iversen, 1989).
DOI: 10.1594/pangaea.985076
title: Pollen counts in sediment core SF-10 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: Fieldwork was conducted in August 2017 to sample sediment cores. The sediment cores were subsampled (1 cm³) at 5 cm intervals, resulting in a total of 125 samples that were processed using standard pollen analytical techniques, including acetolysis (Faegri and Iversen, 1989).
DOI: 10.1594/pangaea.985077
title: Total carbon and nitrogen, and δ13C in sediment core SF-07 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: Fieldwork was conducted in August 2017 to sample sediment cores. The sediments were treated with 4% hydrochloric acid (HCl) to remove carbonates, then washed with distilled water until the pH reached 6. They were subsequently dried at 50°C and homogenized. The samples were analyzed for total organic carbon (TOC) and total nitrogen (TN) at the Stable Isotope Laboratory of CENA/USP. Results were expressed as a percentage of dry weight, with analytical precision of 0.09% for TOC and 0.07% for TN. The δ13C values were reported in per mille (‰) relative to VPDB, with a precision of 0.2‰.
DOI: 10.1594/pangaea.985095
title: Total carbon and nitrogen, and δ13C in sediment core SF-10 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: Fieldwork was conducted in August 2017 to sample sediment cores. The sediments were treated with 4% hydrochloric acid (HCl) to remove carbonates, then washed with distilled water until the pH reached 6. They were subsequently dried at 50°C and homogenized. The samples were analyzed for total organic carbon (TOC) and total nitrogen (TN) at the Stable Isotope Laboratory of CENA/USP. Results were expressed as a percentage of dry weight, with analytical precision of 0.09% for TOC and 0.07% for TN. The δ13C values were reported in per mille (‰) relative to VPDB, with a precision of 0.2‰.
DOI: 10.1594/pangaea.985096
title: Total carbon and nitrogen, and δ13C in sediment core SF-09 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: Fieldwork was conducted in August 2017 to sample sediment cores. The sediments were treated with 4% hydrochloric acid (HCl) to remove carbonates, then washed with distilled water until the pH reached 6. They were subsequently dried at 50°C and homogenized. The samples were analyzed for total organic carbon (TOC) and total nitrogen (TN) at the Stable Isotope Laboratory of CENA/USP. Results were expressed as a percentage of dry weight, with analytical precision of 0.09% for TOC and 0.07% for TN. The δ13C values were reported in per mille (‰) relative to VPDB, with a precision of 0.2‰.
DOI: 10.1594/pangaea.985527
title: Pollen counts in sediment core SF-09 obtained along the coastal plain of Babitonga Bay-Santa Catarina-Brazil

description: Fieldwork was conducted in August 2017 to sample sediment cores. The sediment cores were subsampled (1 cm³) at 5 cm intervals, resulting in a total of 125 samples that were processed using standard pollen analytical techniques, including acetolysis (Faegri and Iversen, 1989).
DOI: 10.15468/dl.3qb8yc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is An updated Checklist of the Myospila Rondani (Diptera: Muscidae) of India with description of a new species"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006719-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17705026
title: PPoPP'26 Artifact Evaluation for UFO Trees: Practical and Provably-Efficient Parallel Batch-Dynamic Trees
DOI: 10.1594/pangaea.986727
title: Sedimentary organic carbon and environmental characteristics of vegetated shoreline from Finnish lakes

description: This data set consists of environmental and geochemical information obtained from samples of 27 sediment cores collected from the vegetated shoreline of three lakes in Finland (Kallavesi, Vesijärvi and Oulujärvi). The sampling campaign occurred in August 2023. For each sediment core, we calculated the sedimentary organic carbon stock (kg/m2). We also measured environmental parameters (water depth, slope, vegetation density and fetch length) that could drive the accumulation of organic carbon in the sediments.
DOI: 10.5281/zenodo.17705025
title: PPoPP'26 Artifact Evaluation for UFO Trees: Practical and Provably-Efficient Parallel Batch-Dynamic Trees
DOI: 10.1594/pangaea.986902
title: Microseismicity in the period 02/2020-05/2020 at Condor Seamount, Azores (SEISAN waveform files)

description: From February to May of 2020, a seismic network of ocean-bottom seismometers was deployed around the Condor seamount, Azores. This dataset provides waveform event files of 1931 well-located local earthquakes detected in continuous waveform data, with magnitudes between 1.0 and 3.2. The zip-file includes waveform data and a Nordic file, and a station file with station coordinates in SEISAN format. All data in the zipped file can be processed and used with the SEISAN seismology software.
DOI: 10.1594/pangaea.986950
title: Loss on ignition, water content, and pH measurements in surface sediments within DynaCom experimental islands and saltmarsh enclosed plots at different elevation levels, Spiekeroog, Germany, 2023-01 to 2023-08

description: Data presented here were collected between January 2023 to August 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Sediment samples for the determination of pH, water content and loss on ignition were taken bi-/monthly in surface sediments (0-3 cm depth) from the experimental plots. Samples were taken between 3 hours before and 3 hours after low tide. Samples were stored dark and cool (8 °C) until measurement. Samples were measured in the laboratory within two months after sampling. Water content (w, [-]) was determined by first weighing the fresh sample (mf; ~ 3-7 g) in pre-weighed aluminium trays and than placed in the drying chamber at 105 °C for 12 hours. After placing samples in the exsiccator for 60 min., samples were re-weight to determine dry weight (md). Water content was calculated using w = (mf - md) / md . Afterwards, samples were placed in the muffle furnace for 2 hours at 430 °C within their aluminium trays, and placed again in the exsiccator for 60 min. Samples were re-weighed to determine the new dry weight (mgl) to calculate loss on ignition (LOI, [%]) using LOI = ((md – mgl) / md ) * 100 . Values of pH were measured according to DIN ISO 10390. Therefore, soil samples were weighed in pre-weighed Falcon™ 50 mL conical centrifuge tubes. Sediment samples were homogenized using a pestle. Ultrapure water was used to measure pH directly within the tubes using a HQ40D digital two channel multi meter and an Intellical PHC101 field low maintenance gel filled pH electrode (Hach Lange GmbH, Germany). The pH electrode was calibrated before measurement using singlet pH buffer sets (pH 4.01, 7.00, 10.01) for single use (Hach Lange GmbH, Germany). Post-processing of measured values were done using MATLAB (R2024b). Quality control was performed by (a) visually checks, and hence (b) the classification into quality control flags using quality check algorithms.
DOI: 10.1594/pangaea.987011
title: Seismic processed data (Ocean Bottom Seismometer working area dataset, profiles p4102 and p4103) during RV MARIA S. MERIAN cruise MSM34/2, Black Sea

description: Ocean bottom seismometer data recorded during RV MARIA S. MERIAN cruise MSM34-2 from 29.12.2013 - 16.01.2014 (Varna-Varna). The main objective of this cruise was the characterisation of gas hydrate deposits on the Danube deep-sea fan, using active seismic data. We present seismic record sections (.sgy format) of ocean bottom seismometer components from eight stations along two seismic profiles (p4102 and p4103). The profiles were shot using a 45 cinch / 45 cinch GI airgun towed behind the vessel in a depth of 2 m. Data are unprocessed, however, they are corrected for instrument drift along the profile using the symmetry of the direct arrival and the data are time corrected.
DOI: 10.1594/pangaea.987020
title: Final age model for stalagmite BER-SWI-13

description: The chronology models a Mg cycle count to a radiocarbon chronology and thus some artifical cycle boundaries are introduced, especially for depths less than 5.4 mm.
DOI: 10.1594/pangaea.987032
title: Magnesium proxy record for stalagmite BER-SWI-13
DOI: 10.1594/pangaea.987059
title: Ozone measurements from station Tamanrasset (2025-09)
DOI: 10.1594/pangaea.987060
title: Radiosonde measurements from station Tamanrasset (2025-09)

description: Start location: Tamanrasset; Distance from radiation site: 10 km
DOI: 10.1594/pangaea.987061
title: Meteorological synoptical observations from station Tamanrasset (2025-09)
DOI: 10.1594/pangaea.987062
title: Basic measurements of radiation at station Tamanrasset (2025-09)

description: On 2018-02-22 the tracker experienced problems and has stopped working since then. Therefore no DIF nor DIR data is available. Also note, that the Pyrgeometer has not been shaded since then and that the SWD pyranometer is not ventilated. To have at least some DIF data, a shadowband was reinstalled for the diffuse sensor on 4th of April 2022. The DIF data is to be taken with care.
DOI: 10.15468/dl.rm3nhs
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gibasis pellucida"
 ]
}

 The dataset includes 559 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006720-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v49hmr
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Giliastrum rigidulum"
 ]
}

 The dataset includes 42 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006722-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4tmvc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunnus albacares",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1860",
 "Year is less than or equal to 1869"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006721-251120083545085/datasets/export for details.
DOI: 10.15468/dl.gq3u6n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Cananga odorata odorata"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006723-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30090127.v3
title: Computational Characterization of Decision Making During Trans-saccadic Visual Perception

description: When sampling visual information from the environment, humans execute fast sequential saccadic eye movements and yet preserve stability in their visual percept. This ability relies on the continuous integration of external sensory information (e.g., visual displacements) and internal monitoring signals. At the time of the saccade subjects often experience saccadic suppression of displacement—a failure to notice changes in the location of visual objects slightly shifted during the eye movement. Although well studied, questions remain regarding <i>how </i>and <i>when</i> external sensory signals lead to perceptual judgment alterations following saccadic eye movements. Here we used a drift diffusion modeling (DDM) framework to systematically examine the extent to which sensory information biased perceptual judgments when detecting trans-saccadic shifts of visual targets. Healthy human participants (<i>N </i>= 30, 21 female) completed a visual perception task in which a visual target was shifted following a prompted saccadic eye movement (4<sup>o</sup> or 8<sup>o</sup>). Target displacements occurred up to +2.5<sup>o</sup> along the horizontal axis, and participants reported the shift direction with a button press response. Incorporating the perceptual response and visual error between the displaced target and end-movement fixation location, the DDM accounted for the visuospatial biasing effects of sensory processing on decision-making. The modelling framework based on the visual error could also capture individual positive and negative biasing effects across backward shifts (i.e., towards the initial fixation location) and forward shifts (i.e., further away from initial fixation). Furthermore, participants whose perceptual bias was more pronounced in either the backward or forward directions tended to show a greater visuospatial offset in evidence accumulation preceding perceptual judgments due to an overreliance on the visual error information. The DDM computational modeling approach described here shows promise as an explanatory framework to account for sensorimotor integration impairments based on perceptual deficits demonstrated in certain patient populations.
DOI: 10.34740/kaggle/dsv/13857164
title: BITCOIN Historical Datasets 2018-2025 Binance API
DOI: 10.15468/dl.ve8u6f
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caddisflies (Insecta: Trichoptera) from Maranhão State, Northeast Region, Brazil: A new species, checklist, and new geographical records"
 ]
}

 The dataset includes 159 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006725-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17644092
title: Data for "Passive acoustic data as phenological distributions: uncovering signals of temporal ecology"

description: Passive Acoustic Monitoring (PAM) is an increasingly common method for monitoring birds and other sound-producing organisms at scale, but methods that digest these data streams into ecological insight remain underdeveloped. Specifically, using PAM and classification algorithms powered by artificial intelligence (AI) to uncover the phenology of vocal animals is an emerging use of these data but currently lacks standardized, repeatable methods with verified connections to biological phenomena. In the paper accompanying this dataset, we articulate specific hypotheses regarding the relationship between avian vocal activity and phenological events, and present a flexible, reproducible methodological workflow for quantifying avian vocal phenology from PAM data. We applied our pipeline to 18,568 hours of audio from 185 recording sites across Olympic National Park, USA.

The data hosted here can be used in concert with the code in the linked Github repository to reproduce the analyses in the manuscript "Passive acoustic data as phenological distributions: uncovering signals of temporal ecology." They should be saved into the "input" folder initialized by the Github repository.