cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1260186.10fu
title: SH1260186.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1260187.10fu
title: SH1260187.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1260198.10fu
title: SH1260198.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.yrb6gt
title: Occurrence Download

description: A dataset containing 1470 records in GBIF matching the query:
SELECT
 stateprovince,
 COUNT(*) total_registros
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CL'
 AND occurrence.hascoordinate = TRUE
 AND (occurrence.hasgeospatialissues = FALSE OR occurrence.hasgeospatialissues IS NULL)
 AND occurrence.decimallatitude IS NOT NULL
 AND occurrence.decimallongitude IS NOT NULL
 AND occurrence.class IS NOT NULL
 AND occurrence.stateprovince IS NOT NULL
GROUP BY
 occurrence.stateprovince
ORDER BY
 total_registros DESC

 The dataset's 1470 records were derived from 816 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003718-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.974713
title: Annotated and filtered molecular formulas associated with dissolved organic matter molecular composition data of exemplary water masses resolved by online LC-FT-Orbitrap-MS

description: The unique chromatographic behaviour of DOM was investigated on three exemplary water samples representing coastal DOM, oceanic surface DOM and oceanic refractory DOM. Weddell Sea surface (30 m depth, oceanic surface DOM) and deep water (1356 m depth, refractory DOM) was sampled with a rosette sampler on RV Polarstern during ANT XXII/2 (station PS67/006-130, latitude -67.5633, longitude -55.3448) and are described elsewhere (El Naggar et al., 2007; Koch et al., 2008). Coastal DOM is routinely extracted from southern North Sea (latitude 54.1447, longitude 7.8711) and used as an in-house laboratory standard. Mass spectra were obtained with liquid chromatography coupled to a Fourier-transform Orbitrap mass spectrometer (LC-FT-Orbitrap-MS) with negative electrospray ionisation. A Q-Exactive Plus (Thermo Fisher Scientific, Bremen, Germany) was coupled to an ultra-performance liquid chromatography system (UPLC, Vanquish, Thermo Fisher Scientific, Bremen, Germany).Reversed phase chromatography was done with a C18 column (Waters AQUITY 2 x 100 mm, 1.7 µm) column at 0.3 mL min 1 and a linear gradient: A (ultrapure water, 4 mmol L 1 ammonium formate) 2 min: 99 %, 11 min: 0 %, 14.9 min: 99 %; B (MeOH, 4 mmol L 1 ammonium formate) 2 min: 1 %, 11 min: 100 %, 14.5 min 100 %, 14.9 min 1 %. The exact mass lists and intensities of the 1.1 min binned scans were exported with the Xcalibur software package (Thermo Electron Corporation). Scans were calibrated with an in-house script. Molecular formulas were assigned with the following elemental composition: 12C≤∞1H≤∞16O≤∞14N≤232S≤1 within 0.8 ppm mass deviation, and filtered with the Ultra Mass Explorer (UME, www.awi.de/en/ume, (Leefmann et al., 2019)).
DOI: 10.1594/pangaea.974714
title: Annotated and filtered molecular formulas associated with dissolved organic matter molecular composition data of exemplary water masses resolved by online LC-FT-ICR-MS

description: The unique chromatographic behaviour of DOM was investigated on three exemplary water samples representing coastal DOM, oceanic surface DOM and oceanic refractory DOM. Weddell Sea surface (30 m depth, oceanic surface DOM) and deep water (1356 m depth, refractory DOM) was sampled with a rosette sampler on RV Polarstern during ANT XXII/2 (station PS67/006-130, latitude -67.5633, longitude -55.3448) and are described elsewhere (El Naggar et al., 2007; Koch et al., 2008). Coastal DOM is routinely extracted from southern North Sea (latitude 54.1447, longitude 7.8711) and used as an in-house laboratory standard. Mass spectra were obtained with liquid chromatography coupled to a Fourier-transform ion cyclotron resonance mass spectrometer (LC-FT-ICR-MS) with negative electrospray ionisation. A 7 Tesla scimaX MRMS system (Bruker Daltonics GmbH & Co. KG, Bremen, Germany) was coupled to an ultra-performance liquid chromatography system (UPLC, Elute LC, Bruker Daltonics GmbH & Co. KG, Bremen, Germany). Reversed phase chromatography was done with a C18 column (Waters AQUITY 2 x 100 mm, 1.7 µm) column at 0.3 mL min 1 and a linear gradient: A (ultrapure water, 4 mmol L 1 ammonium formate) 2 min: 99 %, 11 min: 0 %, 14.9 min: 99 %; B (MeOH, 4 mmol L 1 ammonium formate) 2 min: 1 %, 11 min: 100 %, 14.5 min 100 %, 14.9 min 1 %. The exact mass lists and intensities of the 1.1 min binned scans were exported with the DataAnalysis 5.3 software package (Bruker Daltonics GmbH & Co. KG, Bremen, Germany). Scans were calibrated with an in-house script. Molecular formulas were assigned with the following elemental composition: 12C≤∞1H≤∞16O≤∞14N≤232S≤1 within 0.3 ppm mass deviation, and filtered with the Ultra Mass Explorer (UME, www.awi.de/en/ume, (Leefmann et al., 2019)).
DOI: 10.1594/pangaea.975805
title: TC, TN, IC, TOC, CN, and accumulation rates of sediment core PS115/2_2

description: Sediment Core PS115/2-2 was recovered from the Amundsen Basin in 3600 m water depth at the eastern flank of the Gakkel Ridge during Polarstern Expedition PS115/2 in 2018 (Stein, 2019). The well-dated core is used to reconstruct in detail the interrelationship between ice-sheet dynamics and organic carbon burial in the central Eurasian Basin during the last 430 kyr, and to correlate marine and terrestrial records of the Eurasian Ice Sheet (EIS) history. Using organic-geochemical bulk parameters (i.e., TOC, C/N ratios, Rock Eval) and biomarkers, we have identified prominent well-defined sections with strongly elevated concentration of ancient (petrogenic) predominantly terrestrial OC, coinciding with glacial time intervals of extended ice sheets and the subsequent terminations/deglacials. For the measurement of bulk parameters by means of elemental analysis and Rock-Eval pyrolysis, freeze-dried and homogenized sediments were used. Total organic carbon (TOC) contents were measured by Carbon-Sulfur Analyser (CS-125, Leco) after removing carbonate with hydrochloric acid. Total carbon (TC) and total nitrogen (TN) contents were determined by Carbon-Nitrogen-Sulfur Analyser (Elementar III, Vario). Inorganic (carbonate) carbon (IC) was calculated as IC = TC-TOC. The C/N ratios used as a first-order proxy for estimating the marine (C/N = 5 to 8) and terrestrial (C/N &gt;&gt;10) proportions of the OC, were calculated as "TOC/TN" ratio. As the TN values in sediments from the Laptev Sea continental margin and adjacent deep sea as well as the sediments from Core PS115/2-2 may also contain significant amount of inorganic nitrogen, the C/N ratios of Core PS115/2-2 are certainly minimum values, i.e., when corrected for inorganic nitrogen the maxima of 14 to 16 would increase to 25 and more (cf., Stein & Fahl, 2004). Based on dry bulk density values and linear sedimentation rates, bulk sediment accumulation rates and, by considering TOC values, bulk TOC accumulation rates were calculated (cf., Stein & Fahl, 2004). For further details and methods, we refer to Stein et al. (this paper).
DOI: 10.1594/pangaea.975853
title: X-Ray Fluorescence analysis of sediment core PS115/2_2

description: Sediment Core PS115/2-2 was recovered from the Amundsen Basin in 3600 m water depth at the eastern flank of the Gakkel Ridge during Polarstern Expedition PS115/2 in 2018 (Stein, 2019). The well-dated core is used to reconstruct in detail the interrelationship between ice-sheet dynamics and organic carbon burial in the central Eurasian Basin during the last 430 kyr, and to correlate marine and terrestrial records of the Eurasian Ice Sheet (EIS) history. In this context, the AWI Avaatech XRF (X-Ray Fluorescence) Core Scanner was used for rapid and non-destructive determination of the chemical composition of sediment sections of cores PS115/2-2-1 and PS115/2-2. Split core surfaces were scanned during a 10 kV, 30 kV, and 50 kV run, in order to obtain reliable intensities (counts per second) of specific major elements by analysing the spectra with for Arctic sediments adapted WinAxial™ models. For documentation and analytical details, we refer to the Avaatech Manual (https://epic.awi.de/id/eprint/37355/4/ XRFCore-Scanner_user-manualV2.pdf). For details and methods, we refer to Stein et al. (this paper).
DOI: 10.1594/pangaea.975840
title: Radioactive isotope analysis of sediment core PS115/2_2

description: Sediment Core PS115/2-2 was recovered from the Amundsen Basin in 3600 m water depth at the eastern flank of the Gakkel Ridge during Polarstern Expedition PS115/2 in 2018 (Stein, 2019). The well-dated core is used to reconstruct in detail the interrelationship between ice-sheet dynamics and organic carbon burial in the central Eurasian Basin during the last 430 kyr, and to correlate marine and terrestrial records of the Eurasian Ice Sheet (EIS) history. Our age model, a fundamental prerequisite for any kind of paleoclimatic reconstruction, is based on magnetostratigraphy, 230Th and 231Pa excess (230Thex and 231Paex) records, and AMS14C ages. The radioisotopes 230Th, 232Th, 231Pa, 234U and 235U (238U) were analysed by means of isotope dilution sector field ICP-mass spectrometry (SF-ICP-MS). As independent age control proxies, extinction ages of 230Thex and 231Paex have been determined (cf., Hillaire-Marcell et al., 2017; Geibert et al., 2021; Song et al., 2023). For details and methods, we refer to Stein et al. (this paper).
DOI: 10.1594/pangaea.975869
title: Magnetostratigraphy of sediment core PS115/2_2

description: Sediment Core PS115/2-2 was recovered from the Amundsen Basin in 3600 m water depth at the eastern flank of the Gakkel Ridge during Polarstern Expedition PS115/2 in 2018 (Stein, 2019). The well-dated core is used to reconstruct in detail the interrelationship between ice-sheet dynamics and organic carbon burial in the central Eurasian Basin during the last 430 kyr, and to correlate marine and terrestrial records of the Eurasian Ice Sheet (EIS) history. Our age model, a fundamental prerequisite for any kind of paleoclimatic reconstruction, is based on magnetostratigraphy, 230Th and 231Pa excess (230Thex and 231Paex) records, and AMS14C ages. For magnetostratigraphy, we have determined records of the inclination and relative paleointensity (RPI) of the Earth's magnetic field, combined with rock magnetic measurements to assess a possible diagenetic overprint on the paleomagnetic signal (cf., Frederichs, 1995; Tauxe et al., 1995; Channell et al., 2009, 2020). For details and methods, we refer to Stein et al. (this paper).
DOI: 10.15468/dl.cc7926
title: Occurrence Download

description: A dataset containing 752466 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 2025-04-27",
 "EventDate is less than or equal to 2025-05-27",
 {
 "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)"
 ]
 }
 }
 ]
}

 The dataset includes 752466 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015117-250515123054153/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.29133461
title: Land Cover and Land Use Data in China from 1982 to 2013

description: This dataset was generated by He et al (2017).
DOI: 10.15468/dl.jw949b
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eugenia xalapensis (Kunth) DC."
 ]
}

 The dataset includes 427 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015119-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10800555
title: GlobalHighPM₂.₅ (2020)

description: Here is the first big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) global ground-level PM2.5 dataset over land for the year 2020. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.91 and a root-mean-square error (RMSE) of 9.20 µg m-3 on a daily basis.

If you use the GlobalHighPM2.5 dataset in your scientific research, please cite the following reference (Wei et al., NC, 2023):





Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3
description: Note that the data are recorded in UTC time (i.e., GMT+0). 

This dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).
DOI: 10.5281/zenodo.10402639
title: GlobalHighPM₂.₅ (2020)

description: Here is the first big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) global ground-level PM2.5 dataset over land for the year 2020. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.91 and a root-mean-square error (RMSE) of 9.20 µg m-3 on a daily basis.

If you use the GlobalHighPM2.5 dataset in your scientific research, please cite the following reference (Wei et al., NC, 2023):





Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3
description: Note that the data are recorded in UTC time (i.e., GMT+0). 

This dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).
DOI: 10.1594/pangaea.975991
title: Age model and linear sedimentation rates of sediment core PS115/2_2

description: Sediment Core PS115/2-2 was recovered from the Amundsen Basin in 3600 m water depth at the eastern flank of the Gakkel Ridge during Polarstern Expedition PS115/2 in 2018 (Stein, 2019). The well-dated core is used to reconstruct in detail the interrelationship between ice-sheet dynamics and organic carbon burial in the central Eurasian Basin during the last 430 kyr, and to correlate marine and terrestrial records of the Eurasian Ice Sheet (EIS) history. Our age model, a fundamental prerequisite for any kind of paleoclimatic reconstruction, is based on records of the inclination and relative paleointensity (RPI) of the Earth's magnetic field approved by rock magnetic data, 230Th and 231Pa excess (230Thex and 231Paex) records, and AMS14C ages. The listed tie points are used to develop the age model and to calculate linear sedimentation rates. For details and methods, we refer to Stein et al. (this paper).
DOI: 10.1594/pangaea.976764
title: Chlorophyll a data from the Boknis Eck time series station 2015 to 2021

description: The dataset was acquired at the time-series station Boknis Eck (54.5°N and 10.0°E) at six standard depths (1, 5, 10, 15, 20, 25 m). The dataset contains data for Chlorophyll a (sampled with a rosette sampler, measured using a fluorometer until 2019 and using high performance liquid chromatography from 2019). The data are from 2015 to 2021.
DOI: 10.1594/pangaea.977762
title: Chemical data of soil density fractions from Gaburumata mangrove, Ishigaki Island, Japan

description: The study area, located along the Gaburumata River on Ishigaki Island, Okinawa Prefecture, Japan (24°30'18.5N, 124°14'52.2E), comprises a mangrove forest covering approximately 1.5 ha around the river estuary. The vegetation is dominated by Bruguiera gymnorrhiza. Transects were established at three points (upstream, midstream, downstream) running from north to south. Sampling was conducted in June 2022 at five depths: 0-10, 10-20, 20-40, 40-70, and 70-100 cm, respectively, using a stainless-steel soil auger. Samples were collected at ten locations along each transect at approximately equal intervals. Corresponding depth sections were composited to create one composite sample per depth per transect, which was then stored in plastic bags under cool, dark conditions and transported to the laboratory. Composited samples were frozen and subjected to vacuum freeze-drying for seven days. Subsequently, the freeze-dried soil was gently sieved through a 2 mm mesh sieve. Density fractionation was performed using an aqueous solution of sodium polytungstate (SPT-0, TC-Tungsten Compounds, Germany; SPT) with a density of 1.6 g cm³ with the optimized protocol described in the accompanying paper. After density fractionation, each density fraction was freeze-dried, ground to powder, and measured for elemental analysis, stable carbon and radiocarbon analysis, and extractable metals analysis (Al, Fe, Ca, Mg).
DOI: 10.34740/kaggle/dsv/11916269
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.1594/pangaea.981248
title: Seawater carbonate chemistry and critical thermal minimum/maximum and oxygen consumption rates of fish

description: This study seeks to explore the combined effects of warming and acidification on the thermal and metabolic responses of Patagonotothen tessellata and Harpagifer bispinis, two sympatric notothenioid fish from the Beagle Channel. Juveniles were exposed to present-day and near-future summer temperatures (∼10 and 13 °C) and pCO2 levels (∼500 and 1300 μatm) in a full factorial design. Their critical thermal minimum/maximum (CTmin/CTmax) were assessed and their partial thermal tolerance polygons were estimated. Oxygen consumption rates allowed us to calculate fish' aerobic scope (AS) as the difference between the standard and maximum metabolic rates (SMR and MMR). This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were extracted from tables in the related paper (see Related to) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2025-04-23.
DOI: 10.1594/pangaea.981400
title: Meteorological synoptical observations from station Tamanrasset (2025-02)
DOI: 10.1594/pangaea.981401
title: Ozone measurements from station Tamanrasset (2025-01)
DOI: 10.1594/pangaea.981402
title: Meteorological synoptical observations from station Tamanrasset (2025-01)
DOI: 10.1594/pangaea.981403
title: Radiosonde measurements from station Tamanrasset (2025-01)

description: Start location: Tamanrasset; Distance from radiation site: 10 km
DOI: 10.1594/pangaea.981404
title: Basic measurements of radiation at station Tamanrasset (2025-02)

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: 10.1594/pangaea.981405
title: Basic measurements of radiation at station Tamanrasset (2025-01)

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: 10.1594/pangaea.981406
title: Meteorological synoptical observations from station Tamanrasset (2025-03)
DOI: 10.1594/pangaea.981407
title: Ozone measurements from station Tamanrasset (2025-03)
DOI: 10.1594/pangaea.981408
title: Radiosonde measurements from station Tamanrasset (2025-03)

description: Start location: Tamanrasset; Distance from radiation site: 10 km