cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0122185.10fu
title: SH0122185.10FU

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: 10.1594/pangaea.943903
title: Tethered balloon-borne measurements of aerosol particle microphysics on 2020-07-24, flight PS122/4_48-138

description: In the framework of the Multidisciplinary Observatory for the Study of Arctic Climate (MOSAiC) expedition, the tethered balloon system BELUGA (Balloon-bornE moduLar Utility for profilinG the lower Atmosphere) was deployed from a research camp on an ice floe drifting in the Fram Strait in Summer 2020. The BELUGA system consists of a 90 m³ helium-filled balloon with modular instrumentation. Lonardi et al. 2021 (submitted to Elementa) gives an overview of the BELUGA observations during MOSAiC leg 4. Pilz et al. (in preparation) describe the BELUGA operations and data processing routines. The present data set covers the aerosol particle measurements with the Cubic Aerosol Measurement Platform (CAMP) (details in Pilz et al. in preparation) on 18 flights with mean altitudes of 1 km between 29 June and 27 July 2020.
DOI: 10.13145/bacdive132660.20250331.9.3
title: Microbacterium faecale Chen et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive132660.20251217.10
title: Microbacterium faecale Chen et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0122186.10fu
title: SH0122186.10FU

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: 10.1594/pangaea.943891
title: Tethered balloon-borne measurements of aerosol particle microphysics on 2020-07-10, flight PS122/4_46-182

description: In the framework of the Multidisciplinary Observatory for the Study of Arctic Climate (MOSAiC) expedition, the tethered balloon system BELUGA (Balloon-bornE moduLar Utility for profilinG the lower Atmosphere) was deployed from a research camp on an ice floe drifting in the Fram Strait in Summer 2020. The BELUGA system consists of a 90 m³ helium-filled balloon with modular instrumentation. Lonardi et al. 2021 (submitted to Elementa) gives an overview of the BELUGA observations during MOSAiC leg 4. Pilz et al. (in preparation) describe the BELUGA operations and data processing routines. The present data set covers the aerosol particle measurements with the Cubic Aerosol Measurement Platform (CAMP) (details in Pilz et al. in preparation) on 18 flights with mean altitudes of 1 km between 29 June and 27 July 2020.
DOI: 10.1594/pangaea.943906
title: Tethered balloon-borne measurements of aerosol particle microphysics on 2020-07-27, flight PS122/4_49-98

description: In the framework of the Multidisciplinary Observatory for the Study of Arctic Climate (MOSAiC) expedition, the tethered balloon system BELUGA (Balloon-bornE moduLar Utility for profilinG the lower Atmosphere) was deployed from a research camp on an ice floe drifting in the Fram Strait in Summer 2020. The BELUGA system consists of a 90 m³ helium-filled balloon with modular instrumentation. Lonardi et al. 2021 (submitted to Elementa) gives an overview of the BELUGA observations during MOSAiC leg 4. Pilz et al. (in preparation) describe the BELUGA operations and data processing routines. The present data set covers the aerosol particle measurements with the Cubic Aerosol Measurement Platform (CAMP) (details in Pilz et al. in preparation) on 18 flights with mean altitudes of 1 km between 29 June and 27 July 2020.
DOI: 10.13145/bacdive132661.20250331.9.3
title: Brachybacterium aquaticum Kaur et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive132661.20251217.10
title: Brachybacterium aquaticum Kaur et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0122187.10fu
title: SH0122187.10FU

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: 10.1594/pangaea.970159
title: Neodymium isotope record from ODP Hole 121-752A at Broken Ridge

description: Water flowing from the Pacific Ocean into the Indian Ocean plays a vital role in regulating global thermohaline circulation. Both water basins are connected north of Australia through the Indonesian Throughflow (ITF) and south of Australia through Tasman Leakage (TL). The onset of Tasman Leakage was suggested in the Late Miocene, yet its dynamics on astronomical timescales remain unknown. Here, we present new neodymium (Nd) isotope data from ODP Site 752 (Broken Ridge, Indian Ocean) to trace TL since the Middle Miocene. Both Nd isotope and related stable carbon isotope can be used to distinguish the water masses/ocean circulation. These results therefore, reveal the dynamic of TL since the Middle Miocene.
DOI: 10.1594/pangaea.982470
title: ARK 1999 : AWI airborne Radio-Echo Sounding Data over Northeast Greenland between North GRIP, GRIP, and GISP2 ice core sites (NOGRAM project)

description: This dataset contains airborne radar data acquired using the AWI EMR system (Nixdorf et al., 1999) during the Arctic season of 1999. The profiles extend across the Northeast Greenland Ice Sheet betweenNorth GRIP, GRIP, and GISP2 ice core sites. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
description: OLD VERSION 1, please use newer version (see Replaced by reference)--Project PI: Heinz Miller (AWI)Contact persons for AWI Radio-echo sounding data: Daniel Steinhage (daniel.steinhage@awi.de), Veit Helm (veit.helm@awi.de), Olaf Eisen (olaf.eisen@awi.de)---The netCDF files contain the following variables:altitude: Platform altitude (WGS84) in metersbed_elevation: Bed elevation for each trace (without applying a firn correction and permitivity of ice: 3.15) in metersbed_pick: picked Bed location for each trace, expressed as twt in seconds from time zerodata: Radar data (Values in dBm after DC conversion)data_agc: Scaled radar data using automatic gain control (AGC)distance: Along-track distance in metersice_thickness: Ice thickness for each trace (without applying a firn correction and permitivity of ice: 3.15) in meterslat: Latitude in decimal degrees (WGS84)lon: Longitude in decimal degrees (WGS84)range: Range between sensor and surface in metersspacing: Along-track trace to trace spacing in meterssurface: Surface elevation derived from radar (WGS84) in meterssurface_pick: Picked surface reflection in two-way travel time in secondstime: Seconds of daytwt: Two-way travel time (twt) in seconds
DOI: 10.15156/bio/sh0122188.10fu
title: SH0122188.10FU

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: 10.1594/pangaea.978103
title: Seasonal highly branched isoprenoid concentration and isotope data from Brown's Lake, Ohio

description: Concentrations, hydrogen (δ2H) and carbon isotopes (δ13C) of highly branched isoprenoids (HBIs) from sediment trap samples from Brown's Lake in Ohio. Measurements also included concentrations, carbon isotopes (δ13C), percent carbon and C/N of the sediment trap samples. Samples were collected from July 2020 to October 2022 at monthly intervals. Column chromatography was used to isolate the HBIs. An Agilent 7890A gas chromatograph (GC) coupled with an Agilent 5975C quadrupole mass selective detector (MSD) was used to identify and quantify HBIs. A Thermo Trace GC Ultra coupled to an Isolink pyrolysis reactor and interfaced to a Thermo Electron Delta V Advantage IRMS was used for compound specific carbon and hydrogen isotopes of HBIs. Secchi disk depth and pH were also measured monthly at the time of each sediment trap sampling.
DOI: 10.13145/bacdive132662.20251217.10
title: Nocardia jiangsuensis Bai et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive132663.20250331.9.3
title: Williamsia herbipolensis Kämpfer et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0122189.10fu
title: SH0122189.10FU

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.5e98a3
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Culex antennatus",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 361 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078277-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.969148
title: Gas production (CO2 + CH4) of an one year anaerobic incubation with salt water from two permafrost cores near Utqiagvik, Alaska

description: The dataset reports CO2 and CH4 production rates from a laboratory incubation of soil samples sourced from two permafrost cores taken in April 2022 near Utqiagvik, Alaska, USA. For one half of both permafrost cores, the upper meter was subsampled into four layers each. From each layer, a small part was used for soil parameter analysis (see doi:10.1594/PANGAEA.969147) and a bigger part was used for an incubation. For the incubation mimicking a sea water inundation, sample material was incubated under anaerobic condition at 10 °C for 368 days. Headspace gas samples (5 mL) were taken multiple times and CO2 and CH4 concentrations were determined with a gas chromatograph (Shimadzu, Nexis GC-2030). Production rates and cumulative productions were calculated per gram soil and per gram carbon as described in the method of Robertson., et al. (1999). In order to assess the effect of salt water on the CO2 and CH4 production, three artificially manufactured salt treatments were applied: a control treatment (tap water), a brackish water treatment (salt content: 12.6 ‰) and a sea water treatment (salt content: 34.5-34.8 ‰). In total, the incubation comprises of 104 samples which conclude from two cores x four layers x three treatments x four replicates + two cores x four blanks (blanks not in dataset).
DOI: 10.1594/pangaea.978091
title: Hourly lake water temperate from six depths in Brown's Lake, Ohio

description: Lake water temperature at various depths in Brown's Lake in Ohio. A series of six temperature data loggers (HOBO Pendant MX Temp MX2201, Bourne, MA USA) were deployed and positioned at one-meter intervals from the surface of the water at Brown's Lake. Temperature was measured hourly at each depth from the start of the study in July 2020 until October 2022.
DOI: 10.13145/bacdive132663.20251217.10
title: Williamsia herbipolensis Kämpfer et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.1594/pangaea.978099
title: Water chemistry depth profiles from Brown's Lake, Ohio

description: Water chemistry depth profiles from Brown's Lake in Ohio. Measurements were taken using an In-Situ Aqua TROLL 500 multimeter sonde with pH/ORP, conductivity, temperature, chlorophyll a, and an optical dissolved oxygen sensor. Profiles were measured during two discrete times, October 12th, 2021, and November 5th, 2022.
DOI: 10.13145/bacdive132664.20251217.10
title: Microbacterium diaminobutyricum Fidalgo et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.1594/pangaea.969147
title: Soil data from two permafrost cores near Utqiagvik, Alaska

description: The dataset reports soil data of soil samples sourced from two permafrost cores taken in April 2022 near Utqiagvik, Alaska, USA. For one half of both permafrost cores, the upper meter was subsampled into four layers each. From each layer, a small part was used for soil parameter analysis and a bigger part was used for an incubation (see doi:10.1594/PANGAEA.969148). For the soil parameter analysis, pore water was extracted after thawing the samples (n = 8) to measure pH, electrical conductivity and dissolved organic matter. Afterwards, remaining sediment was freeze-dried and the parameters TC, TOC, TN and delta C13 were determined. Additional pore water samples were used to determine SO4 and Cl content.
DOI: 10.1594/pangaea.983838
title: Individual polychlorinated biphenyl congener air-water volatilization fluxes from the Portland Harbor, Portland, OR, 2018

description: We provide individual PCB congener airborne concentration data for 27 samples collected from 21 locations in 2022 at the Portland Harbor Superfund site and surrounding areas in Portland, OR, USA. Measurements were obtained using polyurethane foam passive air samplers (PUF-PAS) deployed for 43 days. Masses of individual PCB congeners measured in each PUF-PAS sample are included, along with masses from 12 laboratory blanks. Estimated effective volumes used to calculate airborne PCB concentrations from the collected masses are also reported. Additionally, PCB water emissions from the Portland Harbor for individual congeners were calculated using EPA-provided water concentration data from 2018.
DOI: 10.13145/bacdive132665.20250331.9.3
title: Methanomicrobium antiquum Mochimaru et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive132665.20251217.10
title: Methanomicrobium antiquum Mochimaru et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0122190.10fu
title: SH0122190.10FU

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: 10.1594/pangaea.984192
title: Individual airborne PCB congeners effective volumes measured in 27 samples using polyurethane foam passive air samplers (PUF-PAS) from Portland, OR, 2022

description: We provide individual PCB congener airborne concentration data for 27 samples collected from 21 locations in 2022 at the Portland Harbor Superfund site and surrounding areas in Portland, OR, USA. Measurements were obtained using polyurethane foam passive air samplers (PUF-PAS) deployed for 43 days. Masses of individual PCB congeners measured in each PUF-PAS sample are included, along with masses from 12 laboratory blanks. Estimated effective volumes used to calculate airborne PCB concentrations from the collected masses are also reported. Additionally, PCB water emissions from the Portland Harbor for individual congeners were calculated using EPA-provided water concentration data from 2018.
description: Individual PCB congener effectve volume in PUF using passive air sampler (i.e., PUF-PAS)* Quantification and determination of individual PCB congeners effective volume PUF-PAS Sampling Rate Model interface pufpasvolume.org * Some latitude and longitude of events were slightly altered to protect privacy of homeowners.
DOI: 10.13145/bacdive132666.20250331.9.3
title: Micromonospora profundi Veyisoglu et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive132666.20251217.10
title: Micromonospora profundi Veyisoglu et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0122191.10fu
title: SH0122191.10FU

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.