cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.950125
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy DS2018b: 120 s after the heating cycle

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2018b is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2018. The buoy was deployed at 68.57°S; 77.93°E, ~1.5 km northwest of Australian Station Davis with initial thicknesses of snow and ice of 0.01 and 0.84 m, respectively, on 22 May 2018. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 22 May and 14 November 2018 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.
DOI: 10.5061/dryad.0000000hc
title: Actaea L. (Ranunculaceae) species from New York state

description: This package contains genotyping-by-sequencing (GBS) data and derived SNP
 matrices used to evaluate the distinctiveness of Actaea rhodostigma sp.
 nov. relative to A. pachypoda and A. rubra in New York State. Fresh leaf
 tissue was collected across six sites and dried in silica; sequencing
 libraries were prepared with the ApeKI restriction enzyme and run on an
 Illumina NovaSeq 6000 to generate 150-bp paired-end
 reads. Sampling comprised A. rubra (n = 3), A. pachypoda (n = 4),
 and A. rhodostigma sp. nov. (n = 5). The resulting analyses from
 this data support the distinctiveness of A. rhodostigma as a distinct
 lineage within the North American Actaea species.
description: # Actaea L. (Ranunculaceae) species from New York state Dataset DOI:
 [10.5061/dryad.0000000hc](https://doi.org/10.5061/dryad.0000000hc) ##
 Description of the data and file structure The dataset contains
 population-level sequences from three species of *Actaea* sampled from New
 York state, United States: *Actaea pachypoda* (n=4), *Actaea rubra* (n=3),
 and *Actaea rhodostigma* sp. nov. (n=5). The squnce data for each
 individual is comprised of pair reads resulting from GBS sequencing. This
 dataset represents a valuable resources for studying evolutionary genetics
 and species boundaries within North American *Actaea* species. Individual
 Sequence Files:  A_pachypoda_A08.1.fq.gz A_pachypoda_A08.2.fq.gz
 A_pachypoda_A12.1.fq.gz A_pachypoda_A12.2.fq.gz A_pachypoda_B08.1.fq.gz
 A_pachypoda_B08.2.fq.gz A_pachypoda_H07.1.fq.gz A_pachypoda_H07.2.fq.gz
 A_rhodostigma_B12.1.fq.gz A_rhodostigma_B12.2.fq.gz
 A_rhodostigma_C08.1.fq.gz A_rhodostigma_C08.2.fq.gz
 A_rhodostigma_D08.1.fq.gz A_rhodostigma_D08.2.fq.gz
 A_rhodostigma_E08.1.fq.gz A_rhodostigma_E08.2.fq.gz
 A_rhodostigma_F08.1.fq.gz A_rhodostigma_F08.2.fq.gz A_rubra_F07.1.fq.gz
 A_rubra_F07.2.fq.gz A_rubra_G07.1.fq.gz A_rubra_G07.2.fq.gz
 A_rubra_H08.1.fq.gz A_rubra_H08.2.fq.gz Description of files: paired-end
 GBS sequence data. File naming structure as follows:
 `"TAXA"_"ACCESSION".1.fg.gz` for FORWARD
 reads; "`TAXA"_"ACCESSION".2.fg.gz` for REVERSE reads
DOI: 10.1594/pangaea.971693
title: LegacyPollen2.0: Taxonomically harmonized pollen percentages of European samples with revised chronologies

description: This data set consists of the taxonomically harmonized and temporally standardized fossil pollen data from 3680 records. 1122 records are located in North America, 1446 records in Europe, 687 records in Asia, 185 records in South America, 159 in Africa and 81 in the Indo-Pacific region. We expanded the previous version of the LegacyPollen 1.0 data set (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) with records from the Neotoma Paleoecology Database (https://www.neotomadb.org/; last access: August 31, 2022), ACER 1.0 database (Sánchez Goñi et al., 2017; https://doi.org/10.1594/PANGAEA.870867), Chinese fossil pollen dataset (Zhou et al., 2023, https://www.plant-ecology.com/CN/Y2023/V47/I10/1453 [in Chinese]; Cao et al., 2022, https://doi.org/10.1111/gcb.16274), and our own collection for the Asian sector. Taxonomic harmonization (i.e., woody taxa and major herbaceous taxa have been harmonized to genus level and other herbaceous taxa to family level) and temporal standardization (i.e., re-estimation of age-depth models) follow the previously established frameworks LegacyPollen 1.0 (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) and LegacyAge 1.0 (Li et al., 2022; https://doi.org/10.5194/essd-14-1331-2022), respectively. In compiling the dataset, we also followed the practices recommended by Flantua et al. (2023; https://doi.org/10.1111/geb.13693) for large-scale paleoecological data synthesis, such as how to select data sources and filter the dataset.Compared to the LegacyPollen 1.0 dataset, we now include the Neotoma DOI (if Neotoma source) in the overview table of site metadata to eliminate the broken chain of static LegacyPollen 2.0 dataset with living (such as updating discovered metadata errors and chronologies) Neotoma and associated risk of data staleness. Furthermore, we also added the PANGAEA Event (PANGAEA dataset identifier) for each new record to ensure that our dataset meets PANGAEA's high standards for quality, usability, and compliance.
description: The event AKO_combined cobines events "AKO 11; AKO 14; AKO24; AKO25" =&gt; Neotoma URLs: http://doi.org/10.21233/XW3E-V308; http://doi.org/10.21233/22EZ-Q584; http://doi.org/10.21233/BJGC-8T48; http://doi.org/10.21233/A024-5D69
DOI: 10.1594/pangaea.971802
title: LegacyPollen2.0: Overview of taxonomically harmonized pollen records

description: This data set consists of the taxonomically harmonized and temporally standardized fossil pollen data from 3680 records. 1122 records are located in North America, 1446 records in Europe, 687 records in Asia, 185 records in South America, 159 in Africa and 81 in the Indo-Pacific region. We expanded the previous version of the LegacyPollen 1.0 data set (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) with records from the Neotoma Paleoecology Database (https://www.neotomadb.org/; last access: August 31, 2022), ACER 1.0 database (Sánchez Goñi et al., 2017; https://doi.org/10.1594/PANGAEA.870867), Chinese fossil pollen dataset (Zhou et al., 2023, https://www.plant-ecology.com/CN/Y2023/V47/I10/1453 [in Chinese]; Cao et al., 2022, https://doi.org/10.1111/gcb.16274), and our own collection for the Asian sector. Taxonomic harmonization (i.e., woody taxa and major herbaceous taxa have been harmonized to genus level and other herbaceous taxa to family level) and temporal standardization (i.e., re-estimation of age-depth models) follow the previously established frameworks LegacyPollen 1.0 (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) and LegacyAge 1.0 (Li et al., 2022; https://doi.org/10.5194/essd-14-1331-2022), respectively. In compiling the dataset, we also followed the practices recommended by Flantua et al. (2023; https://doi.org/10.1111/geb.13693) for large-scale paleoecological data synthesis, such as how to select data sources and filter the dataset.Compared to the LegacyPollen 1.0 dataset, we now include the Neotoma DOI (if Neotoma source) in the overview table of site metadata to eliminate the broken chain of static LegacyPollen 2.0 dataset with living (such as updating discovered metadata errors and chronologies) Neotoma and associated risk of data staleness. Furthermore, we also added the PANGAEA Event (PANGAEA dataset identifier) for each new record to ensure that our dataset meets PANGAEA's high standards for quality, usability, and compliance.
DOI: 10.1594/pangaea.950123
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy DS2018b: 30 s after the heating cycle

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2018b is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2018. The buoy was deployed at 68.57°S; 77.93°E, ~1.5 km northwest of Australian Station Davis with initial thicknesses of snow and ice of 0.01 and 0.84 m, respectively, on 22 May 2018. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 22 May and 14 November 2018 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.
DOI: 10.1594/pangaea.950154
title: Temperature measurements from SIMBA-type sea ice mass balance buoy ZS2014

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA ZS2014 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2014. The buoy was deployed at 69.37°S; 76.36°E, ~100 m from the coast of Station Zhongshan with initial thicknesses of snow and ice of 0.02 and 0.57 m, respectively, on 13 May 2014. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 13 May and 23 November 2014 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.
DOI: 10.1594/pangaea.950165
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy ZS2014: 30s after the heating cycle

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA ZS2014 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2014. The buoy was deployed at 69.37°S; 76.36°E, ~100 m from the coast of Station Zhongshan with initial thicknesses of snow and ice of 0.02 and 0.57 m, respectively, on 13 May 2014. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 13 May and 23 November 2014 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.
DOI: 10.1594/pangaea.950137
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy DS2015: 120 s after the heating cycle

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2015 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2015. The buoy was deployed at 68.57°S; 77.93°E, ~1.5 km northwest of Australian Station Davis with initial thicknesses of snow and ice of 0.10 and 0.88 m, respectively, on 26 May 2015. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. Because of a sensor failure, only data from the upper 213 sensors is included here. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 26 May and 8 December 2015 in sample intervals of 2~6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.
DOI: 10.5061/dryad.3r2280gvz
title: Data from: Differences between two populations of <em>Stipa krylovii</em> in adaptive strategies: analysis of a three-year reciprocal transplant experiment

description: Understanding how the relative importance of local adaptation versus
 phenotypic plasticity varies across spatiotemporal scales is critical for
 explaining and predicting plant population dynamics. We conducted a
 three-year reciprocal transplant experiment with the dominant grass Stipa
 krylovii between contrasting sites (wetter Xilinhot and drier Beligutai)
 in the Inner Mongolia Steppe to determine the dominant adaptation
 mechanism driving variation in five phenotypic traits. Trait variation
 explained by site increased over time, indicating the growing importance
 of phenotypic plasticity. The Beligutai population demonstrated
 significant local advantage (∆LA) in vegetative and reproductive shoot
 production, whereas the Xilinhot population exhibited greater adaptive
 plasticity. These findings reveal temporally evolving phenotypic
 plasticity in S. krylovii, leading to divergent adaptive strategies
 between populations. This study provides empirical support for predicting
 species distribution under climate change and advances theoretical
 understanding of adaptation mechanisms in perennial clonal herbs across
 semi-arid regions.
description: # Data from: Differences between two populations of *Stipa krylovii* in
 adaptive strategies: analysis of a three-year reciprocal transplant
 experiment Dataset DOI:
 [10.5061/dryad.3r2280gvz](https://doi.org/10.5061/dryad.3r2280gvz) ##
 Description of the data and file structure Data from: Differences between
 two populations of Stipa krylovii in adaptive strategies: analysis of a
 three-year reciprocal transplant experiment. ### Files and variables ####
 File: NJB-04890-data_clean.csv **Description:** This is a data matrix for
 four growth traits and one resource allocation traitfor *Stipa
 krylovii* by a three-year reciprocal transplant experiment. #####
 Variables * Species * Observed year * Code * Site * Origin * Height of
 vegetative shoot (cm) * Height of reproductive shoot (cm) * Number of
 vegetative shoots (ramet ind ^-1^) * Number of reproductive shoots (ramet
 ind ^-1^) * Reproductive ratio
DOI: 10.1594/pangaea.987017
title: Annual stalagmite-derived SSTs for Bermuda (1449-2013)

description: Mean annual SSTs spanning the last ~564 years modelled from a calibration with a previously-published coral record. The confidence interval (95%) reflects purely the calibration uncertainty.
DOI: 10.1594/pangaea.910873
title: Relative abundance of intact polar lipid species in fungi

description: Unit is given in % of total.
DOI: 10.1594/pangaea.987037
title: Monthly stalagmite-derived SSTs for Bermuda (1449-2013)

description: Mean monthly SSTs spanning the last ~564 years modelled from a calibration with a previously-published coral record. The confidence interval (95%) reflects purely the calibration uncertainty.
DOI: 10.1594/pangaea.950057
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy ZS2015: 30s after the heating cycle

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA ZS2015 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in August 2015. The buoy was deployed at 69.37°S; 76.36°E, ~100 m from the coast of Station Zhongshan with initial thicknesses of snow and ice of 0.18 and 1.16 m, respectively, on 11 August 2015. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 11 August and 6 December 2015 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.
DOI: 10.1594/pangaea.120913
title: Fig. 17: Geochemistry of sediment core MD97-2128
DOI: 10.1594/pangaea.938208
title: Carbonate and occluded organic matter d13C and age determination form every sample of the Jiaxian Section on the Chinese Loess Plateau
DOI: 10.15468/dl.89nbna
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhopalura ophiocomae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004480-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.957258
title: Global distributions of calcifying zooplankton abundance and biomass - curated observations (as .CSV) and gridded products (biomass climatologies and model outputs, as NetCDF)

description: The present datasets are those used and generated by: Knecht et al. (2023). The .csv files contain georeferenced observations of abundances and biomass of shelled pteropods and planktic foraminifera (determined at various taxonomic levels). Two README documents describe the way these were implemented from previous zooplankton data syntheses, ongoing plankton monitoring programs and more recent oceanographic cruises. Two NetCDF (.nc) contain the depth-resolved monthly climatologies of shelled pteropods and foraminifera biomasses. The two other NetCDF contain the global estimates of Mean/Median/Min/Max/Stdev biomass concentrations for shelled pteropods and foraminifera for the surface ocean. These global estimates were obtained through an ensemble of biomass distribution models that is extensively described in Knecht et al. (see preprint cited above). This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 862923. This output reflects only the author's view, and the European Union cannot be held responsible for any use that may be made of the information contained therein.
DOI: 10.1594/pangaea.945655
title: 3D point cloud of the Hundsalm ice cave

description: 3D point cloud of the Hundsalm ice cave acquired with a Riegl VZ-2000i Terrestrial Laser Scanner on 2020-05-15, 2020-06-23 and 2020-07-03. Individual point clouds acquired from 255 scan positions were co-registered taking into account potential changes in snow, firn and ice content between the acquisition campaigns. The final data set reflects the snow, firn and ice conditions of 2020-07-03 and contains 3D points with an average spatial resolution of 2 cm. Points are classified into 4 classes: 1 = above ground points (e.g. vegetation) outside the cave, 2 = ground points outside the cave, 3 = points representing the cave's rock surface, 4 = points representing the snow, firn and ice surface in the cave. The points are stored in ETRS89/UTM zone 32N coordinates (EPSG:25832) and include, beside of the classification, an intensity attribute.
DOI: 10.1594/pangaea.957431
title: Snow Profiles of stable water isotopes at the EastGRIP deep drilling site, summer seasons 2016 - 2019

description: Throughout the summer seasons 2016 to 2019 snow profiles were taken repeatedly. The sample positions are aligned along a 300 m wind-parallel transect at the EastGRIP ice core deep drilling site. The snow was collected at 6 positions with a 20 – 50 m spacing. Snow was sampled using carbon fiber tubes of 1-m length that were pushed gently into the snow. A maximum compaction of 1 cm was observed during extraction. The snow cores were carefully removed from the carbon fiber tubes on the cutting table. The core was then cut into slices of 1 cm thickness for the upper 10 cm and 2 cm thickness for the lower 90 cm. The samples were placed into Whirl-Pak® bags and closed airtight. The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25 °C. Prior to measurements, the samples were melted in the sample bags at room temperature. For the measurement of the isotopic composition, the instruments Picarro L2120-i, L2130-I and L2140-i were used. The measurement set-up followed the Van-Geldern protocol (Van Geldern and Barth, 2012). Each sample was injected 4 times unless otherwise noted in the comment column. As a measure of accuracy, we calculated the combined standard uncertainty (B. Magnusson, T. Näykki, H. Hovind, M. Krysell, E. Sahlin, Handbook for calculation of measurement uncertainty in environmental laboratories, Nordtest Report TR 537 (ed. 4) 2017) including the long-term reproducibility and bias of our laboratory by measuring a quality check standard in each measurement run and including the uncertainty of the certified standards. The combined uncertainty for δ18O is 0.11 ‰ and for δ2H is 0.8 ‰. Deuterium excess is calculated as both1) d = dD - 8*d18O; (Merlivat and Jouzel, 1979) and 2) dln = ln(dD + 1) - 8.47(ln(d18O+1)) - 28.5(ln(d18O+1))2; (Uemura et al., 2012).
DOI: 10.1594/pangaea.950149
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy DS2018a: 120 s after the heating cycle

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2018a is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2018. The buoy was deployed at 68.57°S; 77.95°E, ~1 km northwest off Australian Station Davis Coast with initial thicknesses of snow and ice of 0.06 and 0.80 m, respectively, on 28 May 2018. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 28 May and 10 November 2018 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.
DOI: 10.1594/pangaea.950014
title: Temperature measurements from SIMBA-type sea ice mass balance buoy DS2016

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2016 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2016. The buoy was deployed at 68.57°S; 77.95°E, ~1 km northwest off Australian Station Davis Coast with initial thicknesses of snow and ice of 0.06 and 0.80 m, respectively, on 23 May 2016. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 23 May and 27 October 2016 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.