cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.949863
title: Tree data set from forest inventories in north-eastern Siberia - Tree heights

description: The data set presents more than 32,000 of about 40,000 trees, which were surveyed during several Russian-German expeditions by the North-Eastern Federal University Yakutsk and the Alfred-Wegener-Institute Potsdam in the North-East of the Russian Federation between the years 2011 and 2021. The purpose was to gather information on trees and forests in this region, which was then used to understand tree line migration, stand infilling and natural disturbance and succession processes and to initialize and validate a forest model. Trees are located on more than 160 vegetation plots, each of which has a size of several hundred square meters. For every tree, height was estimated, and the species recorded, while a few individuals were subject to more detailed inventory. This table contains every standing tree of at least 40 cm height that was encountered on the vegetation plots described in the Plot Data Base. It partially overlaps with the dataset “Tree data set from forest inventories in north-eastern Siberia - Tree measurements.” (doi: 10.1594/PANGAEA.949861), which additionally contains details on small or lying deadwood.
description: Variables: The variable Position of tree describes the recording protocol. It has the values PLOT for trees that were surveyed in detail on a square plot, CIRCLEPLOT for trees that were surveyed in detail on a circular plot, PLOTHEIGHT for trees that were surveyed with less detail on a circular plot, and EXTRA for trees that are next to a plot. The variable Species group was derived from the variable Species for further analysis. The variable Growth type has the values T = Tree, K = Krumholz, S = Shrub, M = Multistem, TL = Tree lying. The variable Vitality estimate has the values ++ = very high vitality, + = high vitality, 0 = mediocre vitality, - = low vitality, – = very low vitality. Predicted diameters were derived with allometric formulas from height if they were not explicitly measured. Basal areas and Volume were calculated using the height and diameters or predicted diameters.Exact coordinates (latitude and longitude) were not always recorded for every tree. In that case, refer to the coordinate of the plot.Variables were rounded after calculations.Version 2, 2022-10-24: This version replaces doi: 10.1594/PANGAEA.943522, which contained erroneous species naming.
DOI: 10.1594/pangaea.942114
title: EK60 raw multi-frequency (18, 38, 120, 200 kHz) acoustic data collected during RV SONNE cruise SO285 in 2021 to Benguela Upwelling System work area

description: Hydroacoustic raw data from the SO285 cruise aboard the RV Sonne in 2021 (20/08/2021 to 02/11/2021) from the Canary Islands to the Benguela Upwelling System. The hydroacoustics were used as underway measurements during the mooring rescue cruise in the South Atlantic. No biological reference sampling was done on this cruise. We used the Sonne's SIMRAD EK60 system with 4 frequencies: 18, 38, 120 and 200 kHz. A trigger box was used to avoid interferences with the multibeam echosounders and ADCP during the cruise. Pinging interval is thus less consistent. Ping duration was set to 1.024ms.
DOI: 10.1594/pangaea.942185
title: EK60 raw multi-frequency (18, 38, 120, 200 kHz) acoustic data collected during RV SONNE cruise SO283 in 2021 to the Benguela Upwelling System work area

description: Hydroacoustic raw data from the SO283 cruise aboard the RV Sonne in 2021 (19/03/2021 to 25/05/2021) from the Canary Islands to the Benguela Upwelling System. The hydroacoustics were used as underway measurements during the mooring rescue cruise in the South Atlantic. No biological reference sampling was done on this cruise. We used the Sonne's SIMRAD EK60 system with 4 frequencies: 18, 38, 120 and 200 kHz. The data was limited to 1500m depth. A trigger box was used to avoid interferences with the multibeam echosounders and ADCP during the cruise. Pinging interval is thus less consistent. Ping duration was set to 1.024ms.
DOI: 10.1594/pangaea.946047
title: Copepod prosome length in the southern Benguela upwelling system during Meteor cruise M153
DOI: 10.1594/pangaea.949649
title: Tree growth data on four dominant Pinaceae species along a transect in Central Yakutia sampled in 2018

description: Tree cores and discs were collected during fieldwork in Yakutia in 2018 by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany, The Institute for Biological problems of the Cryolithozone, Russian Academy of Sciences, Siberian branch, and The Institute of Natural Sciences, North-Eastern Federal University of Yakutsk, Yakutsk, Russia (Kruse et al., 2019). The samples were dried, sanded, digitized and further processed by identifying the ring layers end exporting the tree ring width for each year. The site chronologies were established by cross-dating all samples to each other, which helped coping with small ring sizes but especially with missing rings, and frost rings.We processed samples of four species, Larix gmelinii (LAGM), Picea obovata (PIOB), Pinus sylvestris (PISY) and Pinus sibirica (PISI). These were recorded at a variety of locations: LAGM from Lake Khamra sites EN18079, -80, -81, -83 (N59.974919° E112.958985°, N59.977106° E112.961379°, N59.970583° E112.987096°, N59.974714° E113.002874°)PIOB from Lake Khamra sites EN18079, -81, -83 (59.974919° E112.958985°, 59.970583° E112.987096°, 59.974714° E113.002874°)PISI from Lake Khamra sites EN18080-EN18083 (N59.977106° E112.961379°)PISY from different sites between EN18061 (N62.076376° E129.618586°) and EN18077 (N61.892568° E114.288623°)
description: The data containing files in dendrochronological TUCSON format without header for each of the four tree species, Larix gmelinii (LAGM), Picea obovata (PIOB), Pinus sylvestris (PISY) and Pinus sibirica (PISI) are published at Zenodo (Kruse et al., 2022, doi:10.5281/zenodo.6145466). All samples taken at breast height (1.3 m above ground).LAGM: 35 series of 31 treesPIOB: 17 series of 14 treesPISY: 26 series of 12 treesPISI: 12 series of 9 treesFurther funding by the Initiative and Networking Fund of the Helmholtz Association.
DOI: 10.1594/pangaea.957810
title: Underway data on pCO2, total alkalinity, temperature, salinity, wind speed and air pressure in the Benguela Upwelling System during TRAFFIC and GENUS cruises

description: As part of the BMBF funded project TRAFFIC (Trophic Transfer Efficiency in the Benguela Current) and GENUS (Geochemistry and Ecology of the Namibian Upwelling System), the mole fraction of CO2 (xCO2) was measured in surface waters by using an underway pCO2 system (SUNDANS) during eight cruises. SUNDANS was developed by marine analytics and data (MARIANDA, Germany, www.marianda.com) according to the recommendations of the 2002 underway pCO2 system workshop in Miami. It was equipped with a shower type equilibrator, an open pre-equilibrator and a non-dispersive dual cell infrared gas analyzer (LI-7000). The LI-7000 was calibrated by using nitrogen gas (zero CO2) and a two additional standard gas for CO2. The standard gases were obtained from the company Deuste Steininger GmbH, Germany and revealed CO2 concentrations of 350 to 480 ppm (Std1) and around 800 ppm (Std2). The CO2 standard gases were calibrated against the standard gases provided by NOAA at the Institute for Baltic Sea Research in Warnemünde, Germany and the Leibniz Centre for Tropical Marine Research in Bremen, Germany. The xCO2 data were recorded each 6 seconds and subsequently averaged minute by minute. Minute by minute data on atmospheric pressure (Digital Barometer PTB220, Vaisala), wind speed (Ultrasonic Anemometer 2D, Thies), seawater temperature (Digital Oceanographic Thermometer SBE38, Sea-Bird Electronics, inc.) and salinity (Thermosalinograph SBE21 Seacat, Sea-Bird Electronics, inc.) were measured by underway systems mounted on board the research vessels (Data provided by the Federal Maritime and Hydrographic Agency, access under http://dship.bsh.de/). xCO2 was converted into pCO2 by using the CO2sys programme. The difference between the equilibrator and the sea water temperature was taken into account as suggested by Dickson et al. (2007, SOP5, page 8). Additional measurements on total alkalinity were carried out during SO285 using the VINDTA 2S system (MARIANDA, Germany, www.marianda.com). The samples were titrated with a fixed volume of hydrochloric acid (HCl) by equal increments of HCl (0.1 N HCl). The VINDATA 2S system was calibrated using Certified Reference Material provided by A. Dickson (Scripps Institution of Oceanography, La Jolla, CA, USA).
DOI: 10.1594/pangaea.954510
title: Ground layer above-ground biomass of 20 sites of Yakutia from 2018 - Accumulated data for 15m²-radius plots

description: Field investigations were performed selecting locations to include the variety of present boreal forest stands between 113-130 °E, eastwards of the city Yaktusk until westernmost sites close to Lake Khamra. To provide a full assessment of the current state of aboveground biomass the ground vegetation layer was additionally sampled. Fifteen-meter radius sample plots (sites) were demarcated in the most homogeneous locations. Heterogeneity was accommodated by roughly assorting vegetation into one to two vegetation types per sampling plot. Within each area of roughly estimated vegetation types we selected one 0.5 x 0.5 m subplot for representative ground-layer above-ground biomass (ABG) harvesting (major taxa and other). For moss and lichen AGB harvesting inside 0.5 x 0.5 m subplots representative 0.1 x 0.1 m subplots were chosen. All ground-layer vegetation AGB assessments were calculated for the fifteen-meter radius plot in g/m² for each sample plot. The present trees and tree-shape growing shrub species were included only up to heights of &lt;40 cm.This dataset contains the accumulated data for the complete 15 m²-radius plot.
description: All data was collected by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany, The Institute for Biological problems of the Cryolithozone, Russian Academy of Sciences, Siberian branch, and The Institute of Natural Sciences, North-Eastern Federal University of Yakutsk, Yakutsk, Russia.
DOI: 10.1594/pangaea.716105
title: Integrated primary production, phytoplankton, diatoms, and chlorophyll a concentrations measured during VALDIVIA cruise VA44

description: Integrated values over euphotic depth (0-20 m)
DOI: 10.1594/pangaea.957862
title: Water column data on dissolved inorganic carbon, total alkalinity, nutrients and hydrographic parameters in the Benguela Upwelling System during RV Meteor cruise M153 and RV Sonne cruise SO285

description: As part of the BMBF funded project TRAFFIC (Trophic Transfer Efficiency in the Benguela Current), water column samples were collected from the CTD/Rosette sampler during RV Meteor cruise M153 and RV Sonne cruise SO285. Dissolved inorganic carbon (DIC) Total Alkalinity (TA) were measured on board using the VINDTA 3C system (MARIANDA, Germany, www.marianda.com) as a combined TA and DIC titration stand. TA was determined by titration of seawater with hydrochloric acid (0.1 N HCl), while DIC was measured coulometrically. During cruise M153, DIC was measured with a cavity ringdown spectrometer (Picarro G2201-I, 1510CFIDS2047_v1.0) attached to a Liaison A0301 and an AutoMate Prep device. Both the VINDTA 3C and Picarro systems were calibrated using Certified Reference Material provided by A. Dickson (Scripps Institution of Oceanography, La Jolla, CA, USA). Nutrient samples were filtered through disposable syringe filters (0.45 µm) after sampling, filled pre-rinsed 50 ml PE bottles and kept frozen at -20°C until on-shore analysis using a continuous-flow injection system (Skalar SAN plus System) according to methods described by Grasshoff et al. (1999).
DOI: 10.1594/pangaea.941577
title: Pollen data for 72 sites in East Siberia

description: A total of 72 surface samples were collected from Chukotka and Yakutia in East Siberia in the Russian-German Cooperation Expeditions to Siberia in 2016 and 2018: 10 lake surface samples were collected in July 2016, 48 moss/soil polsters and 14 lake sediment samples in July and August 2018. Coordinates of the sampling sites were obtained by hand-held Global Positioning System (GPS). The altitudes of the sampling sites range from 94 to 843 m above sea level. At least 300 terrestrial pollen grains were counted and identified in each sample under a microscope at 400X using published pollen atlases and identification keys. Pollen percentages were calculated based on the total number of terrestrial pollen grains. Ecoregions, including Floodplain and Anthropogenic Meadows, Mountain Tundra, Open Woodlands and Middle Taiga, of each sampling site were extracted from a 1:4 million scale vegetation map for the land area of the former Soviet Union.
DOI: 10.1594/pangaea.949861
title: Tree data set from forest inventories in north-eastern Siberia - Tree measurements

description: The data set presents more than 12,000 of about 40,000 trees, which were surveyed during several Russian-German expeditions by the North-Eastern Federal University Yakutsk and the Alfred-Wegener-Institute Potsdam in the North-East of the Russian Federation between the years 2011 and 2021. The purpose was to gather information on trees and forests in this region, which was then used to understand tree line migration, stand infilling and natural disturbance and succession processes and to initialize and validate a forest model. Trees are located on more than 160 vegetation plots, each of which has a size of several hundred square meters. For every tree, height was estimated, and the species recorded. Some individuals were subject to more detailed inventory, including diameters at base and at breast height, crown diameters, and other information. This table partially overlaps with the data set: “Tree data set from forest inventories in north-eastern Siberia - Tree heights.” (doi: 10.1594/PANGAEA.949863), but includes all tree measurements as well as all inventoried trees, which were not included in the Tree heights dataset due to small or lying deadwood.
description: Variables: The variable Position of tree describes the recording protocol. It has the values PLOT for trees that were surveyed in detail on a square plot, CIRCLEPLOT for trees that were surveyed in detail on a circular plot, PLOTHEIGHT for trees that were surveyed with less detail on a circular plot, and EXTRA for trees that are next to a plot. The variable Species group was derived from the variable Species for further analysis. The variable Growth type has the values T = Tree, K = Krumholz, S = Shrub, M = Multistem, TL = Tree lying. The variable Vitality estimate has the values ++ = very high vitality, + = high vitality, 0 = mediocre vitality, - = low vitality, – = very low vitality. Predicted diameters were derived with allometric formulas from height if they were not explicitly measured. Basal areas and Volume were calculated using the height and diameters or predicted diameters.Exact coordinates (latitude and longitude) were not always recorded for every tree. In that case, refer to the coordinate of the plot.Variables were rounded after calculations.Version 2, 2022-10-24: This version replaces doi: 10.1594/PANGAEA.943522, which contained erroneous species naming.
DOI: 10.1594/pangaea.935643
title: Physical oceanography at CTD station 7 obtained during METEOR cruise M153
DOI: 10.1594/pangaea.935647
title: Physical oceanography at TRIAXUS station M153_19-3

description: TRIAXUS is a towed and undulating system which was equipped with a SEABIRD FASTCAT, SBE 49, AANDERAA OXYGEN OPTODE 4330 F, and a SEASCAN SUNADeep Nitrate Sensor. It measured: seawater temperatures, salinity, dissolved oxygen and nitrate concentrations in the water column.
DOI: 10.1594/pangaea.935645
title: Particle flux from sediment trap M153_7-1

description: The sediment trap was attached to the same mooring as the MDO and recorded total particle fluxes, which were averaged to monthly means.
DOI: 10.1594/pangaea.935646
title: Physical oceanography at mooring station M153_7-29

description: The Mini Dot Oxygen Sensor (MDO) was attached to a mooring and recorded seawater temperatures and dissolved oxygen concentrations.
DOI: 10.15468/dl.ahk3qy
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scaptotrigona depilis (Moure, 1942)"
 ]
}

 The dataset includes 614 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002531-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.943522
title: Tree data set from forest inventories in north-eastern Siberia, Tree data base

description: Variables: The variable Position of tree describes the recording protocol. It has the values PLOT for trees that were surveyed in detail on a square plot, CIRCLEPLOT for trees that were surveyed in detail on a circular plot, PLOTHEIGHT for trees that were surveyed with less detail on a circular plot, and EXTRA for trees that are next to a plot. The variable Species group was derived from the variable Species for further analysis. The variable Growth type has the values T = Tree, K = Krumholz, S = Shrub, M = Multistem, TL = Tree lying. The variable Vitality estimate has the values ++ = very high vitality, + = high vitality, 0 = mediocre vitality, - = low vitality, – = very low vitality. Predicted diameters were derived with allometric formulas from height if they were not explicitly measured. Basal areas and Volume were calculated using the height and diameters or predicted diameters.Exact coordinates (latitude and longitude) were not always recorded for every tree. In that case, refer to the coordinate of the plot.Variables were rounded after calculations.
DOI: 10.1594/pangaea.943455
title: Tree data set from forest inventories in north-eastern Siberia, Plot data base

description: The variable Site was used internally to refer to the plots. It is often, but not always identical to the event name. The variable Expedition refers to the name of the field campaign. The variable Location identifies a section of an expedition, often referred to by the location of the field camp. All variables from Number of trees onward were derived from aggregating the trees in the plot data base.
DOI: 10.1594/pangaea.945305
title: Microplankton biomass in the Benguela Upwelling System sampled during the RV SONNE cruise SO283

description: Biomass of two size fractions of microplankton were analyzed of samples taken during cruise SO283 in April/May 2021by an Apstein Net (20 µm mesh size). The sampling took place in the northern and southern Benguela upwelling system in the context of the project TRAFFIC (Trophic TRAnsfer eFFICiency in the Benguela Current). TRAFFIC aims to enlighten the energy transfer through the food webs of the northern and southern subsystems of the Benguela upwelling system.
DOI: 10.1594/pangaea.933263
title: SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia

description: This orthomosaics and Structure from Motion (SfM) point clouds dataset is a part of the SiDroForest data collection (van Geffen et al., 2021). The aim of SiDroForest is to gain a clear picture of the current vegetation dynamics in the pan-arctic region of Siberia. The dataset presented here contains orthomosaics and structure from motion (SfM) point clouds and point cloud products for plots visited in Siberia during a 2-month fieldwork expedition in 2018 by the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research in Germany (Kruse et al., 2019).During the fieldwork, 53 vegetation plots were covered by Unmanned Aerial Vehicle (UAV) flights and Red Green Blue (RGB) photographs were taken with a consumer grade DJI Phantom 4 quadcopter and MAPIR Survey3W RGNIR camera with a standardized flight plan (double-gridded in near-nadir position and circular facing the plot center at take-off elevation) on a 50 x 50 m area (further details in Kruse et al., 2019, Brieger et al., 2019).From these UAV images, SfM point clouds and orthoimages were constructed. The UAV data and the products that were constructed are described below.Data CollectionBecause of the availability of multiple overlapping images from different camera viewpoints, point cloud processing and generation of 3-dimensional (3D) products and successive generation of orthoimages were possible. We manually rejected images that have been taken during take-off and landing, and blurry, under- or overexposed images from further processing. The remaining images were then used to generate the 3D point cloud and related products directly from the point cloud data.
DOI: 10.1594/pangaea.945082
title: Microplankton biomass collected during RV METEOR cruise M153 to the Benguela Upwelling System transit area

description: Biomass of two seize fractions of microplankton was measured of samples taken during cruise M153 in February and March 2019 by a Multinet Midi (55 µm mesh size, 5 depths). The sampling took place in the northern and southern Benguela upwelling system in the context of the project TRAFFIC (Trophic TRAnsfer eFFICiency in the Benguela Current). TRAFFIC aims to enlighten the energy transfer through the food webs of the northern and southern subsystems of the Benguela upwelling system.
DOI: 10.1594/pangaea.933268
title: SiDroForest: Sentinel-2 Level-2 Bottom of Atmosphere labelled image patches with seasonal information for Central Yakutia and Chukotka vegetation plots (Siberia, Russia)

description: This Sentinel-2 Level-2 (Bottom-of-Atmosphere) image patches with seasonal information for Central Yakutia and Chukotka vegetation plots dataset in Siberia, Russia, is a part of the SiDroForest data collection. The aim of SiDroForest is to map current vegetation dynamics in the boreal to sub arctic region of Siberia.Sentinel-2 is an ESA optical satellite mission providing satellite imagery globally- and freely-available, which facilitates low-cost large-scale analyses of circumpolar boreal forests. The Sentinel-2 mission is composed of two identical satellites that were launched in 2015 and 2017. Though freely available, Sentinel-2 data often contains clouds and finding a cloud and haze-free acquisition can take time. Therefore, this Data Collection provides cloud free atmospherically corrected image patches of the vegetation plots in three different seasons of the vegetation period in Siberia: early summer, peak summer and summer. The atmospherically corrected Sentinel-2 data were optimized prior to vegetation related analyses: we resampled the spectral bands to 10 m spatial resolution to make them comparable in the same spatial pixel resolution, removing the 60m bands that support atmospheric correction but are not optimal for land surface classification. In addition, for vegetation monitoring it is common to apply the Normalized Difference Vegetation Index (NDVI) that we provide as an additional band.The dataset presented here contains subsets of Sentinel-2 acquisitions that cover all the 54 locations where fieldwork was performed in Siberia during a 2-month fieldwork expedition in 2018 by the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research in Germany (Kruse et al., 2019). 30 by 30m image patches were cropped and given a vegetation label (classes 1-11).