cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.i4ya.a8zt
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.rgqk.7i66
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.eh6r.1h83
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.zv7g.o0r3
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.08m7.x42a
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.twjo.yeve
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.zhay.l18z
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.q6tl.15ic
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.txio.5hye
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ch06.zrd9
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ck0s.94qo
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.524b.021l
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.pxjt.4r19
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6ofe.lgdk
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.eren.t56u
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1jhl.ndq1
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-900_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qi0h.wrge
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4m5d.fmq4
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.1594/pangaea.965100
title: 2D multichannel seismic reflection processed data (GI Gun working area dataset) of RV SONNE during cruise SO292, Queensland Plateau, Coral Sea

description: The seismic data were collected on the Queensland Plateau during RV SONNE expedition SO292 in spring 2022 (Betzler et al., 2022). The seismic signals were generated by two simultaneously released GI-Gun (true GI-Modus; primary volume of 45 in3) and a Mini-GI source (true GI-Modus; primary volume of 15 in3), towed 41 m behind the ship's stern and in a water depth of ca. 2.5 m. Sources were released by a GPS-controlled PC every 18.75 m at 160 bar. To synchronize seismic sources and trigger the recording system, a SureShot trigger system was used. This system allowed to display and adjust the source signatures measured by hydrophones attached to the seismic sources for each shot and therefore enabled an online quality control during the watchkeeping. The streamer was a Hydroscience Technologies SeaMUX 144-channel system with an active length of 600 m and symmetric group interval. The recording length was set to 4 s, the sample interval was 1 ms. Raw data were stored in SEG-Y format.All seismic profiles were processed on board with the 2021 VISTA® desktop seismic data processing software by Schlumberger. The main processing steps were Bandpass filtering (18/25 – 350/450 Hz), velocity analysis (every 25-500 CMP), spherical divergence correction, NMO-correction and stack, FD migration, topmute, data enhancement (white noise removal, fx deco), scaling. Processed data contained in this dataset are stored as SEG-Y. UTM coordinates (UTM zone 55) are stored at trace header position 181 (4-byte) and 185 (4-byte).
DOI: 10.7483/opendata.cms.t2k1.6b0j
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.9jwyvw
title: Occurrence Download

description: A dataset containing 15616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus phellos L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15616 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069925-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.q4g7.lnry
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4a1s.tbm6
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.mr84.ah6g
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.a4v5.eh4c
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.q7u9.54il
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.tf37.a94w
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hpoe.4wlu
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.zkuh.5kes
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4lm6.0kkl
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.nkue.rb3e
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.rfvv.927u
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.c9ea.j5zg
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.npoy.rqf8
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.v0uy.2prp
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1j78.lar4
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.1594/pangaea.971779
title: KOSMOS 2021 Gran Canaria mesocosm study on ocean alkalinity enhancement: particulate matter and metazoan zooplankton fatty acids

description: This data was collected as a part of a mesocosm study to investigate the ecosystem impacts of ocean alkalinity enhancement, within the EU H2020 OceanNETs project. Nine mesocosms were deployed in Taliarte Harbour (Gran Canaria, Spain) and were regularly sampled using integrated water samplers between 10th September-25th October 2021. A gradient design was used in this experiment with a total of nine different alkalinity concentrations. Seawater alkalinity ranged between ambient (0 µeq kg-1 added alkalinity, OAE0) and 2400 µeq kg-1 additional alkalinity (OAE2400). The alkalinity levels increased in equal intervals of 300 µeq kg-1 across nine mesocosms (OAE0, OAE300, OAE600, OAE900, OAE1200, OAE1500, OAE1800, OAE2100, OAE2400). This data set contains particulate matter and metazoan zooplankton fatty acid concentrations (nanograms of fatty acids per µgC), percent contribution, as well as specific trophic marker and marker ratios (calculated form percent fatty acids), and nutritional indexes (calculated from fatty acid concentrations). Samples with %esterification of 0 excluded. Samples with less than 95-100µg carbon are included, but were not used in our analyses because they are below the c mass recommendation thresholds of the gas chromatograph. This results in an underestimation of minor, but biologically-relevant, fatty acids. Fatty acid concentrations were normalized by carbon concentration in the sample, which derives from particulate matter carbon measurements (POC) and zooplankton biomass (data sets available in PANGAEA). Phases were not included here, since they differed between metazoan zooplankton and particulate matter (see Sanchez et al. in prep. for more info).
description: This data set is associated to the submission by Paul et al. (in review) (https://doi.pangaea.de/10.1594/PANGAEA.966941), so we refer to this data set for basic parameters like water temperature, salinity, pH and carbonate chemistry, to avoid repetition. This data set also contains in greater detail the particulate matter carbon mass used to calculate the correspondent fatty acid concentrations. It is also associated with the dataset "KOSMOS 2021 Gran Canaria mesocosm study on ocean alkalinity enhancement: metazoan zooplankton carbon biomass" (https://doi.pangaea.de/10.1594/PANGAEA.971764), which contains in greater detail the zooplankton carbon mass used to calculate the correspondent fatty acid concentrations.
DOI: 10.1594/pangaea.971764
title: KOSMOS 2021 Gran Canaria mesocosm study on ocean alkalinity enhancement: metazoan zooplankton carbon biomass

description: This data was collected as a part of a mesocosm study to investigate the ecosystem impacts of ocean alkalinity enhancement, within the EU H2020 OceanNETs project. Nine mesocosms were deployed in Taliarte Harbour (Gran Canaria, Spain) and were regularly sampled using integrated water samplers between 10th September-25th October 2021. A gradient design was used in this experiment with a total of nine different alkalinity concentrations. Seawater alkalinity ranged between ambient (0 µeq kg-1 added alkalinity, OAE0) and 2400 µeq kg-1 additional alkalinity (OAE2400). The alkalinity levels increased in equal intervals of 300 µeq kg-1 across nine mesocosms (OAE0, OAE300, OAE600, OAE900, OAE1200, OAE1500, OAE1800, OAE2100, OAE2400). This data set contains metazoan zooplankton biomass (µgC per L) from these nine mesocosms. Biomass was calculated based on zooplankton abundances transformed using carbon mass conversion factors. Metazoan zooplankton were sampled with apstein net (ø17cm, mesh size 55µm, 64.06285L) hauls taken every two days (except for days 5 and 9). Zooplankton were size fractioned and assessed in the correspondent size class (small: 55-200µm; medium: 200-500µm; large: 500µm-3mm). Within each size class, all organisms were counted and identified to the lowest possible taxonomic level, and developmental stages were differentiated where possible. Zooplankton abundances (individuals per L) converted to carbon biomass (µgC per L) using biomass conversion factors. Conversion factors are obtained from different sources (Sanchez et al. (in prep)). Briefly: i) metazoan zooplankton functional groups were sampled and measured for carbon biomass using an elemental analyser at specific points throughout the experiment, ii) individual zooplankton were photographed, measured, and their biovolumes and carbon masses derived using standard conversions cited in the literature, iii) zooplankton conversion factors from KOSMOS Gran Canaria 2019 (https://doi.pangaea.de/10.1594/PANGAEA.971765). The experiment, which lasted 33 days, was divided into four response phases (see Sánchez et al. (in prep)): i) pretreatment (days 1 to 4, treatment was implemented on day 4), ii) immediate (days 5-10), iii) shorter term (days 11-22), iv) longer term (days 23 to 33).
description: This data set is associated to the submission by Paul et al. (in review) (https://doi.pangaea.de/10.1594/PANGAEA.966941), so we refer to this data set for basic parameters like water temperature, salinity, pH and carbonate chemistry, to avoid repetition.
DOI: 10.1594/pangaea.971765
title: KOSMOS 2021 Gran Canaria mesocosm study on ocean alkalinity enhancement: metazoan zooplankton carbon and nitrogen mass, and 13C and 15N stable isotopes

description: This data was collected as a part of a mesocosm study to investigate the ecosystem impacts of ocean alkalinity enhancement, within the EU H2020 OceanNETs project. Nine mesocosms were deployed in Taliarte Harbour (Gran Canaria, Spain) and were regularly sampled using integrated water samplers between 10th September-25th October 2021. A gradient design was used in this experiment with a total of nine different alkalinity concentrations. Seawater alkalinity ranged between ambient (0 µeq kg-1 added alkalinity, OAE0) and 2400 µeq kg-1 additional alkalinity (OAE2400). The alkalinity levels increased in equal intervals of 300 µeq kg-1 across nine mesocosms (OAE0, OAE300, OAE600, OAE900, OAE1200, OAE1500, OAE1800, OAE2100, OAE2400). This data set contains metazoan zooplankton carbon and nitrogen mass (µg per individual), carbon to nitrogen stoichiometry and δ15N (‰ air) and δ13C (‰ PDB) stable isotopes. Here are included metazoan zooplankton carbon and nitrogen mass, and stable isotope measurements. These measurements were used to calculate zooplankton biomass, CN stoichiometry, trophic level and production (see the correspondent data sets). Metazoan zooplankton were sampled with apstein net (ø17cm, mesh size 55µm, 64.06285L) hauls taken every four days (except the first 11 days, when samples were only taken on days 1 and 11). Zooplankton were size fractioned and assessed in the correspondent size class (small: 55-200µm; medium: 200-500µm; large: 500µm-3mm). Organisms were picked into functional groups within each size class: i) bulk zooplankton (MZP), which consisted of a random mix of all zooplankton, ii) copepod zooplankton (COP), and iii) copepod nauplii (NAU), iv) Large Labidocera, a type of copepod much larger than other copepods inthe large size class, was also sampled when found in the nets (LAB) and in the sedimented material (SED-LAB). The experiment, which lasted 33 days, was divided into four response phases (see Sánchez et al. (in prep)): i) pretreatment (days 1 to 4, treatment was implemented on day 4), ii) immediate (days 5-10), iii) shorter term (days 11-22), iv) longer term (days 23 to 33).
description: This data set is associated to the submission by Paul et al. (in review) (https://doi.pangaea.de/10.1594/PANGAEA.966941), so we refer to this data set for basic parameters like water temperature, salinity, pH and carbonate chemistry, to avoid repetition. It is also associated to the dataset "KOSMOS 2021 Gran Canaria mesocosm study on ocean alkalinity enhancement: metazoan zooplankton carbon biomass" (https://doi.pangaea.de/10.1594/PANGAEA.971764), which uses carbon mass conversion factors derived from it.
DOI: 10.7483/opendata.cms.90i1.lpp5
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.1594/pangaea.968775
title: Winter cod 2024: CTD data recorded during RV ALKOR cruise AL606

description: This data set comprises CTD data of the RV ALKOR cruise AL606 conducted in January 2024 (January 22nd – January 30th) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year monitoring programme Winter cod 2021-25 (Monitoring winter spawning activity of Western Baltic cod (Gadus morhua) (2021-25)) of the University of Hamburg aiming at investigating the early-winter spawning activity of Western Baltic cod to identify potential climate-induced shifts in spawning phenology.
description: Note that the CTD data presented here is already processed data containing the deletion of the upcast (i.e. measurements in the data are obtained from the downcast of the CTD haul) and a rough quality check for outliers (used reliability thresholds: salinity should range no more than from &lt;5 to &gt;37PSU: Pressure should be always &lt; 60dbar; water Temperature should be not outside the range between -2°C and 10°C; Dissolved oxygen should not exceed values &gt; 15 mg; Albeit temperature no negative values should occur). Measurements exceeding these reliability thresholds were flagged as outliers and removed. Note that additional outliers in the data may occur.
DOI: 10.7483/opendata.cms.6oj4.uocv
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.1594/pangaea.968786
title: SeaRanger 2024: Monitoring data recorded during RV ALKOR cruise AL607 - Gadus morhua body and gonad measurements

description: This data contains monitoring data of the RV ALKOR cruise AL607 conducted in February 2024 (February 10th – February 16th) in the Western Baltic Sea by the University of Hamburg. Sampling activities conducted during this teaching cruise was part of the international sampling efforts to investigate the spawning activity of Western Baltic cod (Gadus morhua) coordinated by the Western Baltic cod Forum (WBCF). The data set includes cod single fish analysis data. All single fish measurements were made directly on board. Full wet weights of cod were measured and subsequently cod were gutted and liver weights, gonad weights and sexes, gutted wet weights (i.e., gutted wet mass), gonad stages and liver nematode infestations were recorded, and Otoliths were taken.
DOI: 10.1594/pangaea.968776
title: Winter cod 2024: Monitoring data recorded during RV ALKOR cruise AL606 - Gadus morhua body and gonad measurements

description: This data contains monitoring data of the RV ALKOR cruise AL606 conducted in January 2024 (January 22nd – January 30th) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year monitoring programme Winter cod 2021-25 (Monitoring winter spawning activity of Western Baltic cod (Gadus morhua) (2021-25)) of the University of Hamburg aiming at investigating the early-winter spawning activity of Western Baltic cod to identify potential climate-induced shifts in spawning phenology. The data set includes cod single fish analysis data. All single fish measurements were made directly on board. Full wet weights of cod were measured and subsequently cod were gutted and liver weights, gonad weights and sexes, gutted wet weights (i.e., gutted wet mass), gonad stages and liver nematode infestations were recorded, and Otoliths were taken.
DOI: 10.1594/pangaea.968784
title: SeaRanger 2024: CTD data recorded during RV ALKOR cruise AL607

description: This data set comprises CTD data of the RV ALKOR cruise AL607 conducted in February 2024 (February 10th – February 16th) in the Western Baltic Sea by the University of Hamburg. Sampling activities conducted during this teaching cruise was part of the international sampling efforts to investigate the spawning activity of Western Baltic cod (Gadus morhua) coordinated by the Western Baltic cod Forum (WBCF).
description: Note that the CTD data presented here is already processed data containing the deletion of the upcast (i.e. measurements in the data are obtained from the downcast of the CTD haul) and a rough quality check for outliers (used reliability thresholds: salinity should range no more than from &lt;5 to &gt;37PSU: Pressure should be always &lt; 60dbar; water Temperature should be not outside the range between -2°C and 10°C; Dissolved oxygen should not exceed values &gt; 15 mg; Albeit temperature no negative values should occur). Measurements exceeding these reliability thresholds were flagged as outliers and removed. Note that additional outliers in the data may occur.
DOI: 10.7483/opendata.cms.8snf.nulf
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.1594/pangaea.968768
title: Winter cod 2024: Monitoring data recorded during RV ALKOR cruise AL606 - Station data

description: This data contains monitoring data of the RV ALKOR cruise AL606 conducted in January 2024 (January 22nd – January 20th) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year monitoring programme Winter cod 2021-25 (Monitoring winter spawning activity of Western Baltic cod (Gadus morhua) (2021-25)) of the University of Hamburg aiming at investigating the early-winter spawning activity of Western Baltic cod to identify potential climate-induced shifts in spawning phenology. The data set includes station data (i.e. action log) of the cruise.
description: The station data was obtained from the DSHIP action log available at the BSH (Bundesamt für Seeschifffahrt und Hydrographie), Germany.
DOI: 10.1594/pangaea.968785
title: SeaRanger 2024: Monitoring data recorded during RV ALKOR cruise AL607 - Station data

description: This data contains monitoring data of the RV ALKOR cruise AL607 conducted in February 2024 (February 10th – February 16th) in the Western Baltic Sea by the University of Hamburg. Sampling activities conducted during this teaching cruise was part of the international sampling efforts to investigate the spawning activity of Western Baltic cod (Gadus morhua) coordinated by the Western Baltic cod Forum (WBCF). The data set includes station data (i.e. action log) of the cruise.
description: The station data was obtained from the DSHIP action log available at the BSH (Bundesamt für Seeschifffahrt und Hydrographie), Germany.
DOI: 10.7483/opendata.cms.y678.sfau
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.chjh.m19e
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0r7f.1sum
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-950_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM