cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15269113
title: Supplementary

description: Supplementary Table 1 top 10 genes of TSTR subgroups

Supplementary Table 2 features coef of radiomics model
DOI: 10.5281/zenodo.15269114
title: Supplementary

description: Supplementary Table 1 top 10 genes of TSTR subgroups

Supplementary Table 2 features coef of radiomics model
DOI: 10.15468/dl.8p3syg
title: Occurrence Download

description: A dataset containing 3086 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((24.54633 -7.427288, 27.4251 -7.427288, 27.4251 -5.341292, 24.54633 -5.341292, 24.54633 -7.427288))"
 ]
}

 The dataset includes 3086 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011644-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uy9aca
title: Occurrence Download

description: A dataset containing 110558 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección Herbario Federico Medem Bogotá - FMB"
 ]
}

 The dataset includes 110558 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011232-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jw5g2
title: Occurrence Download

description: A dataset containing 15854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Observation)",
 "Country is one of (Indonesia, Singapore)",
 "Geometry POLYGON((104.17327 0.89446,104.10983 0.8842,104.05852 0.88886,103.97455 0.887,103.89618 0.92058,103.80662 0.9579,103.74412 1.0316,103.72359 1.09224,103.69187 1.14449,103.704 1.1874,103.67415 1.23592,103.66388 1.27043,103.67974 1.28723,103.66948 1.30869,103.65269 1.32641,103.61164 1.31615,103.54353 1.23405,103.51368 1.16408,103.53141 1.09504,103.57152 0.99708,103.71426 0.94017,103.89432 0.85901,103.98388 0.80676,104.07997 0.76665,104.16394 0.76385,104.20405 0.78437,104.24977 0.79184,104.30761 0.81889,104.30201 0.88233,104.17327 0.89446))",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 15854 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011238-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.947108
title: Porewater chemistry from sediment core CDISK4-6 from the North Pacific CDisK-IV expedition

description: Samples were collected at six oceanographic stations during cruise CDisK-IV on board RV Kilo Moana from Hawaii to Alaska in August 2017 using an 8-barrel multi-corer. Sediment porewaters were extracted in a cold room, using Rhizon samplers inserted into pre-drilled holes in the core liner, from two cores with undisturbed sediment-water interfaces, from each multi-corer cast. Pre-treatment of the Rhizon samplers and the sampling protocol was different for each of the two cores. Rhizons inserted to core number 1 from each cast were new from the box, and the samples were used for nutrient and major element analyses. A 20 ml syringe was filled from each Rhizon, inserted dry, and the extracted water was filtered again via a 0.45 µm filter. Rhizons inserted to core number 2 were acid-cleaned with 0.001 N HNO3 for at least 24 hours, rinsed with de-ionised water (Milli-Q, Millipore) and kept in de-ionised water until use. The first 1 mL extracted was discarded, and the next 2 mL were stored in acid cleaned polypropylene (PP) vials. These samples, destined for analyses of trace and major elements, were acidified with HNO3 to final acid concentration of 0.035 M.
DOI: 10.13130/rd_unimi/n9enq4/8hhxlc
title: force_disp_final-147.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.950145
title: Porosity measured on benthic foraminifera from modern sediments and the glacial Arabian Sea
DOI: 10.1594/pangaea.950152
title: Geochemistry of sediment core TN041-8PG and TN041-8JPC from modern sediments and the glacial Arabian Sea
DOI: 10.13130/rd_unimi/n9enq4/iip9i1
title: edges_final-144.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/ow1w8w
title: edge_data_final-103.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928529
title: Magnetic susceptibility of sediment core PS2556-2
DOI: 10.1594/pangaea.943666
title: GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition

description: The total snow and ice thickness (distance from the snow surface to the ice-ocean interface) was measured by the electromagnetic induction (EM) method. On MOSAiC transects, we used a broad-band EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled (Hunkeler et al, 2015; Hunkeler et al, 2016). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams.The GEM-2 is a broadband sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during MOSAiC used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.525 kHz, 5.325 kHz, 18.325 kHz, 63.025 kHz, and 93.075 kHz).The transect measurements are based on an empirical approach based on a sensor calibration, where the GEM-2 was placed at known heights above the sea ice surface using a wooden ladder on top of level ice with a known thickness determined by 5 drill holes. An exponential function was then fitted to the frequency components as function of distance of the sensor to the ice/ocean interface and then applied to the transect data. The closest-in-time calibration result was used when a GEM-2 survey could not be accompanied with a calibration.The total thickness retrieval with the GEM-2 calibration and survey data was done on-board shortly after each profile. The dataset is therefore labeled as GEM-2 quickview data but has been subject to manual quality control. Using a direct relationship between total thickness and frequency component implies the assumption that the sea ice conductivity is negligible and the ice/water interface constant within the GEM-2 footprint. While this is a reasonable assumption for level ice, the peak thicknesses of ridges are known to be underestimated by as much as 50 % (Pfaffing et al, 2007) and will be subject of further processing.To estimate the snow depth and then subtract its thickness from the total thickness we rely on direct measurements of snow depth with Magnaprobe. The co-inciding snow depth measurements on MOSAiC transect can be found here: https://doi.pangaea.de/10.1594/PANGAEA.937781Not every GEM-2 transect has complimentary snow depth measurements. An overview of all transect measurements at MOSAiC is given in the attached table.For more details we refer to the MOSAiC transect paper by Itkin et al, 2022: Sea ice and snow mass balance from transects in the MOSAiC Central Observatory, in review at Elementa – Science of Anthropocene.
DOI: 10.13130/rd_unimi/n9enq4/thnjka
title: nodes_final-105.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.941924
title: Individual foraminifera Ba/Ca and Mg/Ca data from three time intervals from four cores of the equatorial Pacific
DOI: 10.1594/pangaea.951062
title: Site-to-site correlation tie points between Sites 1210 and 1209 revised composite depth (S13)
DOI: 10.13130/rd_unimi/n9enq4/ieu0yd
title: edge_data_final-116.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/konvdj
title: force_disp_final-149.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.939732
title: (U-Th)/He ages from zircons collected from the upper Marsyangdi valley of central Nepal: raw data

description: This dataset contains the results of three individual (U-Th)/He analyses using Zircons extracted from bedrock samples. The bedrock samples were collected from medium-high grade metamorphic rocks exposed along the upper Marsyangdi river valley. They were collected in order to add to the already available thermochronometric datasets and better constrain the exhumation history of the central Himalayas. The measurements of the ages follow the general procedures outlined in Reiners (2005) and Reiners et al. (2004).
DOI: 10.1594/pangaea.939734
title: (U-Th)/He ages from zircons collected from the upper Marsyangdi valley of central Nepal: summary

description: This dataset contains the results of three individual (U-Th)/He analyses using Zircons extracted from bedrock samples. The bedrock samples were collected from medium-high grade metamorphic rocks exposed along the upper Marsyangdi river valley. They were collected in order to add to the already available thermochronometric datasets and better constrain the exhumation history of the central Himalayas. The measurements of the ages follow the general procedures outlined in Reiners (2005) and Reiners et al. (2004).
DOI: 10.13130/rd_unimi/n9enq4/dpe54d
title: nodes_final-122.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928396
title: Element analysis of sediment core JR298-PC736
DOI: 10.1594/pangaea.928528
title: Magnetic susceptibility of sediment core PS1565-2
DOI: 10.13130/rd_unimi/n9enq4/5jtgqy
title: edges_final-112.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/bckqlx
title: opt-149.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.939724
title: Nitrous oxide production kinetics from ammonia oxidation in the Eastern Tropical North Pacific in March/April 2018

description: In March/April 2018 during a cruise on R/V Sally Ride, SR1805, 15N-NH4+ incubations in 60mL glass serum bottles were performed to measure ammonium oxidation rates to nitrite and nitrous oxide in different depth at 3 different stations in the oxygen deficient zone (ODZ) of the Eastern Tropical North Pacific off the coast of Mexico. Water samples were collected from 30L Niskin bottles deployed with a conductivity-temperature-depth profiler (CTD, Seabird Electronics). The goal was to get a better understanding on the controls of nitrous oxide (N2O) production. The N2O production rate experiments were performed according to Bourbonnais et al. 2021 (https://doi.org/10.3389/fmars.2021.611937). Furthermore, ammonium (NH4+), nitrite (NO2-) and nitrate (NO3-) as well as N2O concentrations were determined using standard fluorometric (Holmes et al. 1999, https://doi.org/10.1139/f99-128), photometric (Strickland and Parsons 1972, hdl:10013/epic.46454.d001), chemiluminescent (Braman and Hendrix 1989, doi:10.1021/ac00199a007) and mass spectrometric techniques (McIlvin and Casciotti 2010, https://doi.org/10.4319/lom.2010.8.54), respectively. The N2O yield per nitrite produced was calculated. The archaeal ammonia monooxygenase gene subunit A (amoA) copy numbers/mL were determined using qPCR as described previously (Peng et al. 2015, https://doi.org/10.1002/2015GB005278).
description: The data table contains the depth profiles of salinity, temperature (°C), oxygen concentration (µmol/L), ammonium (µmol/L), nitrate (µmol/L), nitrite (µmol/L) and nitrous oxide concentration (nmol/L) for three stations in the oxygen deficient zones (ODZ) in the Eastern Tropical North Pacific. It also contains the rate measurements of N2O production rate (nmol N2O/L*d) with standard error, ammonium oxidation rate (nmol N2O/L*d) to nitrite with standard error as well as N2O yield (%) with standard deviation. The % hybrid N2O production refers to the production of 45N2O, which requires incorporation of a 14N substrate other than NH4+. It is expressed in percent with respect to the total N2O produced from 15NH4+. Furthermore, the archaeal amoA copy numbers / mL and the standard deviation are given for the different depths.
DOI: 10.13130/rd_unimi/n9enq4/ofasha
title: force_disp_final-118.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928491
title: Carbonate and opal conten of sediment core PS2556-1
DOI: 10.1594/pangaea.928532
title: Age models of west off Antarctic Peninsula sediment cores
DOI: 10.13130/rd_unimi/n9enq4/w59ye7
title: edges_init-116.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928490
title: Grain-size and mineral composition, and water content of sediment core PS1565-2
DOI: 10.1594/pangaea.928517
title: Magnetic susceptibility of sediment core JR298-GBC731
DOI: 10.13130/rd_unimi/n9enq4/hdbswz
title: edges_init-140.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/shr7zw
title: force_disp_init-126.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.941902
title: Individual foraminifera Ba/Ca and Mg/Ca data paired with stable isotopes data from the same material from three time intervals from four cores of the equatorial Pacific
DOI: 10.13130/rd_unimi/n9enq4/jtqfyp
title: edges_init-121.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.941922
title: Bulk solution foraminifera Ba/Ca, Mg/Ca, and stable isotope data from LGM timeseries from four cores of the equatorial Pacific
DOI: 10.13130/rd_unimi/n9enq4/5x0yxo
title: edges_init-118.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/t6lqvz
title: opt-145.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.271526
title: Airchemistry at Neumayer Station, Antarctica during the year 1992

description: Please note that the Ozone data was provided by P. Winkler. The complete dataset for Ozone can be found at: https://doi.pangaea.de/10.1594/PANGAEA.942386
description: Data processing by Johannes Kässbohrer, Fielax
DOI: 10.1594/pangaea.966217
title: Dissolved nutrients data from the PS122 MOSAiC Expedition carried out at the AWI Nutrient Facility

description: Samples for the analysis of dissolved nutrients were collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) from the water column, sea ice cores and from special events/locations (e.g., leads, melt ponds, brine, incubation experiments). Samples for dissolved inorganic nutrients (NO3 +NO2 , NO2 , PO4 , Si(OH)4, NH4 ) were analysed onboard during PS122 legs 1 to 3, with duplicate samples collected from CTD casts for later analysis of total dissolved nitrogen (TDN) and total dissolved phosphorus (TDP). From leg 4, all samples collected were stored frozen at -20°C for later analysis. Analyses of stored samples were carried out at the AWI Nutrient Facility between January and March 2021. Nutrient analyses onboard and on land were carried out using a Seal Analytical AA3 continuous flow autoanalyser, controlled by the AACE software version 7.09. Best practice procedures for the measurement of nutrients were adopted following GO-SHIP recommendations (Hydes et al., 2010; Becker et al., 2019). Descriptions of sample collection and handling can be found in the various cruise reports (Haas & Rabe, 2023; Kanzow & Damm, 2023; Rex & Metfies, 2023; Rex & Nicolaus, 2023; Rex & Shupe, 2023). Here we provide data from the water column, obtained from the analysis of discrete samples collected from CTD-Rosette casts from Polarstern (https://sensor.awi.de/?site=search&q=vessel:polarstern:ctd_sbe9plus_321) and Ocean City (https://sensor.awi.de/?site=search&q=vessel:polarstern:ctd_sbe9plus_935). Data from sea ice cores and special events are presented elsewhere. Data from sea ice cores and special events are presented elsewhere. For reference, here we included data from CTD-BTL files associated with nutrient samples. These data are presented by Tippenhauer et al. (2023) Polarstern CTD and Tippenhauer et al. (2023) Ocean City CTD.
DOI: 10.13130/rd_unimi/n9enq4/qsphpp
title: edges_init-104.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.933560
title: GEM-2 combined snow and ice thickness during a floe-scale walk on station PS81/517_GPS1

description: Combined snow and ice thickness from a multifrequency electromagnetic induction instrument (GEM-2), see Hunkeler et al. (2015) for details.
description: Coordinates:============X and Y coordinates are relative to a GPS base station installed on each floe. Coordinates were determined using post-processing kinematic GPS (PPK-GPS), and corrected for floe ration and drift. Coordinates of measurements inside the laser scanning area were particularly carefully processed to collocate measurements as accurately as possible (within a few cm). The vertical height above sea level in the TLS data was determined by using reflectors on poles. Upon installation of these reflector poles, the ice was drilled through and the height of the reflector above sea level was determined. For details, see Wever et al. (2021).On the floe scale walk, magnaprobe coordinates have been equally processed as in the laser scanning area. However, for the GEM-2 instrument, the position of the magnaprobe was taken for the corresponding time stamp in the GEM-2 data. Since the GEM-2 instrument was following the Magnaprobe surveyor with a few m distance, this leads to less precise positioning. However, the GEM-2 instrument also has a footprint of similar order of magnitude (see Hunkeler et al., 2015).Coordinate reference points:============================All coordinates are relative to GPS base station 1, in a local coordinate system where X and Y coordinates align with easting and northing, respectively, from the respective UTM Zone at a specific point in time. The respective coordinates of GPS base station 1 for this dataset are:For PS81/517: Location of GPS base station 1, July 31 2013, 1942 UTC:WGS84 : latitude=-63.39434 longitude=-51.13041UTM Zone 22S : northing=2970466 easting=493483
DOI: 10.1594/pangaea.951128
title: Bulk digestion and excess Ba data of ODP Sites 198-1209 and 198-1210 (S15)
DOI: 10.13130/rd_unimi/n9enq4/5qpmxk
title: nodes_init-144.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/lfrr2r
title: nodes_init-110.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.968277
title: Sediment properties in drained lake basins in northern Alaska, August 2018

description: These data originate from a field survey in early August 2018 in the Teshekpuk Lake region on the Alaskan North Slope. We sampled surface sediment in drained lake basins. Active layer thickness was measured in the field. Sediment samples were analyzed for water content, dry bulk density, soil organic carbon stocks 0-3 cm, total organic carbon contents, total nitrogen contents, stable carbon isotopes (δ13C), stable nitrogen isotopes (δ15N), and sediment methane concentrations. All analyses were conducted in AWI laboratories in Potsdam, Bremerhaven and Helgoland.
DOI: 10.13130/rd_unimi/n9enq4/vrieuw
title: edge_data_final-110.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.271525
title: Airchemistry at Neumayer Station, Antarctica during the year 1999

description: Data processing by Johannes Kässbohrer, Fielax
DOI: 10.1594/pangaea.854448
title: (Figure 3A-E) PCA factor scores in sediment core OCE326-GGC14
DOI: 10.13130/rd_unimi/n9enq4/fzsn5h
title: force_disp_final-136.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/xkszhw
title: edge_data_final-144.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/xwzf00
title: edges_final-117.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.271531
title: Airchemistry at Neumayer Station, Antarctica during the year 1997

description: Data processing by Johannes Kässbohrer, Fielax
DOI: 10.1594/pangaea.952536
title: Integrated science teaching in atmospheric ice nucleation research: immersion freezing experiments

description: This data supports a lab experiment-based module to integrate research and education in atmospheric ice nucleation, which is an important phenomenon potentially influencing global climate change. Our primary objective was to promote meaningful laboratory exercises to enhance the competence of students in the fields of science, technology, engineering, and math (STEM) by applying an appropriate methodology to laboratory ice nucleation measurements. To achieve our objectve, we tested our modules with a number of STEM interns, as well as students in a classroom setting, and trained them on how to experimentally simulate atmospheric ice nucleation and cloud droplet freezing. For practical training, we used a simple freezing assay device called the West Texas Cryogenic Refrigerator Applied to Freezing Test (WT-CRAFT) system. We provided hands-on lessons with students to let them calibrate WT-CRAFT with deionized ultrapure water and recorded representative experiments to understand the physicochemical properties of bulk water and droplet freezing.
description: Table S1 summarizes the WT-CRAFT calibration data based on measurements with filtered tap (F_Tap), deionized (DI), and HPLC water. Each measurement was performed by different individuals. The number of frozen droplets is shown as a function of temperature. The total number of droplets examined in each experiment was 70. Recorded videos are available in the supplemental data section.
DOI: 10.13130/rd_unimi/n9enq4/vhc3kx
title: edges_init-111.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928531
title: Radiocarbon ages of sediment cores JR298-GBC729 and JR298-GBC735
DOI: 10.13130/rd_unimi/n9enq4/1y54x5
title: opt-142.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/9xpfu1
title: nodes_init-145.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.854447
title: (Figure 3G) Total diatom abundance in sediment core OCE326-GGC14
DOI: 10.1594/pangaea.948504
title: Calcifying zooplankton standing stocks and in the North Pacific from the R/V Kilo Moana cruise KM1712

description: This dataset compiles the standing stocks (ind/m³), the integrated standing stocks (ind/m²) and the integrated CaCO3 standing stocks (mg/m²) for three groups of zooplanktonic calcifying organisms: pteropods, heteropods and foraminifers. The organisms were collected by oblique towing (Ø 0.5 m, 90 μm mesh size, SeaGear mechanical flowmeter) in the North Pacific between Hawaii and the Gulf of Alaska during the R/V Kilo Moana cruise KM1712 in August 2017. The sampling strategy was designed to capture an integrated sample of all foraminifers, pteropods and heteropods from juveniles to adults living throughout the upper water column. Pteropods and heteropods were quantified and shell diameter measured using a Leica Z16 AP0 binocular light microscope at 20-100x. Pteropods and heteropods were identified and grouped respectively in three (Cavoliniidae, Cymbuliidae, Limacinidae) and two (Atlantidae, Carinidae) families. All Foraminifera were wet picked from the sample splits, divided into groups greater and less than 125 µm, counted, and weighed with a high precision microbalance.
description: Jess F. Adkins and William M. Berelson were chief scientists of the Kilo Moana cruise KM1712. Patrizia Ziveri and William R. Gray designed the sampling strategy, measured the Foraminifera standing stocks and the Foraminifera CaCO3 standing stocks. Clara Mano and Griselda Anglada-Ortiz measured the Pteropoda and Pterotracheoidea standing stocks and the Pteropoda and Pterotracheoidea CaCO3 standing stocks.
DOI: 10.13130/rd_unimi/n9enq4/bci2fc
title: opt-120.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.931025
title: TEX86, TEX86L and SST reconstruction for sediment cores MD12-3394