cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/7sb2-k852
title: Sea surface measurements of dissolved inorganic carbon (DIC), total alkalinity (TALK), temperature and salinity during the R/V Marion-Dufresne Ocean Indien Service d'Observations - 31 (OISO-31) cruise (EXPOCODE 35MV20210113) in the Indian Ocean from 2021-01-14 to 2021-03-04 (NCEI Accession 0280946)

description: This dataset consists of surface measurements of dissolved inorganic carbon (DIC), total alkalinity (TALK), temperature and salinity during the R/V Marion-Dufresne Ocean Indien Service d'Observations - 31 (OISO-31) cruise (EXPOCODE 35MV20210113) in the Indian Ocean from 2021-01-14 to 2021-03-04. The OISO program (Océan Indien Service d'Observations), initiated in 1998, collects measurements of pCO2 and associated parameters (T, S, DIC, TALK, nutrients, Chl-a, 13C) along the repeated lines of R.V. Marion-Dufresne in the South-Western Indian and Southern Oceans; this coverage is a complement of the international CO2 observing system (IOCCP). The OISO data are regularly included in international synthesis (SOCAT, GLODAP).
DOI: 10.4121/08735cb7-8859-4ddb-8a09-90df4d4ba1c1
title: Dataset underlying the publication: Estimating Plastic Export from Estuaries into the Sea Using a Mass-balance Model

description: Estuaries act as an interface between rivers and the sea, and therefore play a key role in transporting plastic to the sea. However, plastic transport in estuaries is complex and estuary-to-sea export is still very uncertain. This study presents a plastic mass-balance model that can be applied to specific estuaries, and produces export estimates similar to previous studies. The daily plastic export from estuary to sea was estimated to be 290 kg for the Rhine-Meuse Estuary (RME), and 19,431 kg for the Saigon Estuary, where the discharge into the sea is 3.5 times larger for the RME, compared to the Saigon Estuary. Due to limited discharge measurements for the Saigon Estuary, the yearly plastic export could only be estimated for the RME, corresponding to 13,300 kg. These estimates fall within the uncertainty range of previous studies. Deposition and remobilization resulted in the largest model fluxes, with magnitudes of 20 t/d for the RME and 430 t/d for the Saigon Estuary. At the same time, the model is most sensitive to the uncertainty in parameters related to deposition. Our results demonstrate that with the right measurements, making reliable estimates of estuary-to-sea export is possible. However, uncertainty in plastic transport processes, like deposition and remobilization, has a large impact on the uncertainty of parameters and the model. Automated sensors, targeted field experiments, and improved model structure can enhance export estimates and further improve understanding of plastic dynamics in estuaries, bringing us closer to strategies that reduce the environmental footprint of plastic, and protect ecosystems and human health.<br>This dataset includes the Mass-balance Model script in R, along with all other functions and data used. This publication has not yet been published. The study underlying the future publication can be found in the following master's thesis: https://edepot.wur.nl/695475.
DOI: 10.25921/zrjh-3e68
title: Dissolved inorganic carbon (DIC), total alkalinity, chlorofluorocarbons (CFC-11, CFC-12, CFC113), dissolved organic carbon (DOC), temperature, salinity, oxygen, nutrients and other measurements collected from profile and discrete sample observations during the R/V Mirai cruise MR21-04, GO-SHIP section P01 (EXPOCODE 49NZ20210713) in the North Pacific Ocean from 2021-07-13 to 2021-08-26 (NCEI Accession 0281913)

description: This dataset includes discrete profile measurements of dissolved inorganic carbon (DIC), total alkalinity, chlorofluorocarbons (CFC-11, CFC-12, CFC113), dissolved organic carbon (DOC), temperature, salinity, oxygen, nutrients and sulfur hexafluoride (SF6) collected during the R/V Mirai cruise MR21-04, GO-SHIP section P01 (EXPOCODE 49NZ20210713) in the North Pacific Ocean from 2021-07-13 to 2021-08-26.
DOI: 10.4121/08735cb7-8859-4ddb-8a09-90df4d4ba1c1.v1
title: Dataset underlying the publication: Estimating Plastic Export from Estuaries into the Sea Using a Mass-balance Model

description: Estuaries act as an interface between rivers and the sea, and therefore play a key role in transporting plastic to the sea. However, plastic transport in estuaries is complex and estuary-to-sea export is still very uncertain. This study presents a plastic mass-balance model that can be applied to specific estuaries, and produces export estimates similar to previous studies. The daily plastic export from estuary to sea was estimated to be 290 kg for the Rhine-Meuse Estuary (RME), and 19,431 kg for the Saigon Estuary, where the discharge into the sea is 3.5 times larger for the RME, compared to the Saigon Estuary. Due to limited discharge measurements for the Saigon Estuary, the yearly plastic export could only be estimated for the RME, corresponding to 13,300 kg. These estimates fall within the uncertainty range of previous studies. Deposition and remobilization resulted in the largest model fluxes, with magnitudes of 20 t/d for the RME and 430 t/d for the Saigon Estuary. At the same time, the model is most sensitive to the uncertainty in parameters related to deposition. Our results demonstrate that with the right measurements, making reliable estimates of estuary-to-sea export is possible. However, uncertainty in plastic transport processes, like deposition and remobilization, has a large impact on the uncertainty of parameters and the model. Automated sensors, targeted field experiments, and improved model structure can enhance export estimates and further improve understanding of plastic dynamics in estuaries, bringing us closer to strategies that reduce the environmental footprint of plastic, and protect ecosystems and human health.<br>This dataset includes the Mass-balance Model script in R, along with all other functions and data used. This publication has not yet been published. The study underlying the future publication can be found in the following master's thesis: https://edepot.wur.nl/695475.
DOI: 10.25921/g920-tt88
title: Dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen, nutrients, and other measurements collected from profile and discrete sample observations during R/V Ryofu Maru III cruises along the GO-SHIP Repeat Section P03 (EXPOCODEs 49UP20210728, 49UP20210827, 49UP20210920) in the North Pacific Ocean from 2021-07-28 to 2021-09-20 (NCEI Accession 0282207)

description: This dataset includes discrete profile measurements of dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen, nutrients, and other measurements collected from profile and discrete sample observations during R/V Ryofu Maru III cruises along the GO-SHIP Repeat Section P03 (EXPOCODEs 49UP20210728, 49UP20210827, 49UP20210920) in the North Pacific Ocean from 2021-07-28 to 2021-09-20.
DOI: 10.25921/zgfm-ds26
title: Water temperature, bottom topography, currents, and others taken by XBT, echosounder, ADCP, and other instrumentation from research vessel Kaimei in Marianas Trench Marine National Monument from 2023-03-03 to 2023-03-25 (NCEI Accession 0283273)

description: This dataset contains water temperature, bottom topography, currents, marine gravity, and sub bottom profiles taken from R/V Kaimei in the North Pacific. Based on the detail seafloor observation by remotely operative vehicles (KM-ROV and BMS), we observed the distribution of deep-sea hydrothermal activities and microbial and macrofaunal communities with the seafloor topography, obtained various types of rocks, sediments, hydrothermal deposits and waters, and animals. Most of the data and samples are still under investigation in onshore laboratories, but some of the data and samples were analyzed onboard and then interpreted and summarized as scientific articles. This cruise is U.S. State Department MSR U2022-047 as part of the World Data Service for Geophysics. Data are in text and instrument specific formats.
DOI: 10.15468/dl.6u9uh4
title: Occurrence Download

description: A dataset containing 118914373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 118914373 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011771-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/zyrq-ht66
title: Global Ocean Data Analysis Project version 2.2023 (GLODAPv2.2023) (NCEI Accession 0283442)

description: This dataset consists of the GLODAPv2.2023 data product composed of data from 1108 scientific cruises covering the global ocean between 1972 and 2021. It includes full depth discrete bottle measurements of salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon (TCO2), total alkalinity (TAlk), CO2 fugacity (fCO2), pH, chlorofluorocarbons (CFC-11, CFC-12, CFC-113, and CCl4), SF6, and various isotopes and organic compounds. It was created by appending data from 23 cruises to GLODAPv2.2022 (Lauvset et al., 2022, NCEI Accession 0257247). The data for salinity, oxygen, nitrate, silicate, phosphate, TCO2, TAlk, pH, CFC-11, CFC-12, CFC-113, CCl4, and SF6 were subjected to primary and secondary quality control. Severe biases in these data have been corrected for, and outliers removed. However, differences in data related to any known or likely time trends or variations have not been corrected for. These data are believed to be accurate to 0.005 in salinity, 1% in oxygen, 2% in nitrate, 2% in silicate, 2% in phosphate, 4 µmol kg-1 in TCO2, 4 µmol kg-1 in TAlk, and for the halogenated transient tracers and SF6: 5%.
DOI: 10.3334/cdiac/otg.ndp093_glodapv2
title: A new global interior ocean mapped climatology: the 1° × 1° GLODAP version 2 from 1972-01-01 to 2013-12-31 (NCEI Accession 0286118)

description: This data package contains a mapped climatology (GLODAPv2.2016b) of ocean biogeochemical variables based on the 2016 version of the GLODAP version 2 data product, which covers all ocean basins over the years 1972 to 2013. The quality-controlled and internally consistent GLODAPv2 was used to create global 1° × 1° mapped climatologies of salinity, temperature, oxygen, nitrate, phosphate, silicate, total dissolved inorganic carbon (TCO2), total alkalinity (TAlk), pH, and calcium carbonate (CaCO3) saturation states using the Data-Interpolating Variational Analysis (DIVA) mapping method (Troupin et al., 2012). Error fields are calculated using the clever poor mans error calculation method in DIVA (Beckers et al., 2014). Climatologies were created for 33 standard depth levels from surface to 5500 meters. The conceivably confounding temporal trends in TCO2 and pH due to anthropogenic influence were removed prior to mapping by normalizing these data to the year 2002 using first-order calculations of anthropogenic carbon accumulation rates. We additionally provide maps of accumulated anthropogenic carbon in the year 2002 and of preindustrial TCO2. For all variables, all data from the full 1972–2013 period were used, including data that did not receive full secondary quality control.
DOI: 10.25921/4vqp-hm84
title: Surface underway measurements of partial pressure of carbon dioxide (pCO2) in the Mediterranean Sea and North Atlantic Ocean during the M/N Colibri Ships of Opportunity (SOOP) lines in 2023 (NCEI Accession 0286288)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from MN Colibri Ships of Opportunity (SOOP) lines in the Mediterranean Sea and North Atlantic Ocean from 2023-05-06 to 2023-07-31. These data include barometric pressure, partial pressure of carbon dioxide - atmosphere, partial pressure of carbon dioxide - water, sea surface salinity and temperature. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.
DOI: 10.5281/zenodo.17734653
title: VERITAS OS: LLMベースProto-AGIエージェントのための 透明性・安全性・監査性を備えた意思決定オペレーティングシステム

description: VERITAS OS は、大規模言語モデル(LLM)を安全かつ透明性を持って運用するために設計された、Proto-AGI 向けの意思決定オペレーティングシステムである。

 

近年の ReAct、AutoGPT、LangGraph、DSPy などに代表される LLM エージェントは、ツール使用や反復推論の面で大きな進歩を遂げたが、企業利用・高リスク領域に必要な 安全性・再現性・監査可能性・意思決定の透明性 において限界が存在する。

 

本研究は、LLM を「ブラックボックスのまま使う」のではなく、

決定論的・多段階の透明な意思決定パイプラインで包む OS レイヤーを構築する

というアプローチを提案する。

本稿で紹介する VERITAS OS の主要コンポーネント

 



Multi-stage Transparent Decision Pipeline計画・推論・批判・エビデンス収集・安全ゲートを統合した決定プロセス

FUJI Gate(安全性・倫理判断モジュール)リスク・法的制約・有害性・ポリシー適合性を機械的にスコアリングする安全ゲート

Cryptographic TrustLog意思決定過程を改ざん不可能な形式で記録する監査ログ

MemoryOS & WorldModel長期記憶・文脈管理・タスク状態追跡

ValueCoreLLM に一貫した価値観と安定した判断基準を与えるモジュール

/v1/decide API上記すべてを統合し、透明で再現性のある意思決定を実行する中心的エンドポイント


目的と位置づけ

 

VERITAS OS は、企業利用・AI安全・プロフェッショナル支援・法的領域など、

高信頼性が求められる環境において LLM を Proto-AGI 的に活用するための基盤

として設計されている。

 

本稿の日本語版は、研究コミュニティ・開発者・企業担当者向けに、

アーキテクチャの概要と設計思想を明確に解説するものである。

英語版(Version v1)と並行して、日本語版としての技術解説(Version v1-JP)として公開する。

備考

本研究は独立した個人研究として進行しており、今後は:



安全性実験

推論精度実験

アブレーション研究

メモリ拡張

AGIガバナンスへ向けた機能拡張


などの計画がある。

 

VERITAS OS は、LLM を安全に運用するための「意思決定インフラ」としての新しい可能性を提示する。
DOI: 10.25921/dtpv-pj79
title: Surface underway measurements of partial pressure of carbon dioxide (pCO2), salinity, water temperature and other associated parameters during the R/V Marion Dufresne OISO-33 cruise (EXPOCODE 35MV20230123) in Indian Ocean from 2023-01-23 to 2023-02-22 (NCEI Accession 0287397)

description: This dataset includes continuous sea surface measurements of pCO2, temperature, salinity and atmospheric pressure data during the R/V Marion Dufresne OISO-32 cruise (EXPOCODE 35MV20220210) in Indian Ocean from 2023-01-23 to 2023-02-22. The OISO program (Océan Indien Service d'Observations), initiated in 1998, collects measurements of pCO2 and associated parameters (T, S, DIC, TALK, nutrients, Chl-a, 13C) along the repeated lines of R.V. Marion-Dufresne in the South-Western Indian and Southern Oceans; this coverage is a complement of the international CO2 observing system (IOCCP). The OISO data are regularly included in international data synthesis (SOCAT, GLODAP).
DOI: 10.25921/zqbp-bw28
title: Surface underway measurements of partial pressure of carbon dioxide (pCO2), salinity, water temperature and other associated parameters during the R/V Marion Dufresne RESILIENCE cruise (EXPOCODE 35MV20220420) in the Indian Ocean from 2022-04-20 to 2022-05-21 (NCEI Accession 0287480)

description: This dataset includes continuous sea surface measurements of pCO2, temperature, salinity and atmospheric pressure data during the R/V Marion Dufresne RESILIENCE cruise (EXPOCODE 35MV20220420) in the Indian Ocean from 2022-04-20 to 2022-05-21. The RESILIENCE cruise was conducted onboard R.V. Marion-Dufresne in the South-Western Indian. The project addresses the links between fine oceanic scales such as fronts and eddies and marine life, from phytoplankton to large marine mammals through zooplankton and micronekton, in two main areas, the central Mozambique Channel and the coastal sector of the Agulhas Current. Information is available at https://doi.org/10.17600/18001917.
DOI: 10.25921/e1sc-w762
title: Surface underway measurements of partial pressure of carbon dioxide (pCO2), salinity, water temperature and other associated parameters during the R/V Marion Dufresne EBO-2022 cruise (EXPOCODE 35MV20220627) in the Indian Ocean from 2022-06-27 to 2022-07-06 (NCEI Accession 0287481)

description: This dataset includes continuous sea surface measurements of pCO2, temperature, salinity and atmospheric pressure data during the R/V Marion Dufresne EBO-2022 cruise (EXPOCODE 35MV20220627) in the Indian Ocean from 2022-06-27 to 2022-07-06. The EBO-2022 cruise (Ecole Bleue Outremer) was conducted onboard R.V. Marion-Dufresne in the Western Indian Ocean. The cruise aimed at training young people based overseas.
DOI: 10.25921/b8tp-0e49
title: Surface underway measurements of partial pressure of carbon dioxide (pCO2), sea surface salinity, temperature and other parameters during the ship of opportunity (SOOP) M/S New Century 2 cruises in the Pacific Ocean, Atlantic Ocean and Caribbean Sea in 2023 (NCEI Accession 0287492)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from M/S New Century 2 in the Pacific Ocean, Caribbean Sea, Atlantic Ocean from 2023-01-08 to 2023-12-31. These data include absolute humidity, air temperature, air-sea difference - partial pressure of carbon dioxide, barometric pressure, partial pressure of carbon dioxide - atmosphere, partial pressure of carbon dioxide - water, relative humidity, sea surface salinity, sea surface temperature and wind direction and speed. The instruments used to collect these data include barometric pressure sensor, carbon dioxide (CO2) gas analyzer, tandem (bubble+mixer) type equilibrator for autonomous CO2 measurement and thermosalinographs.
DOI: 10.25921/jcn9-9y70
title: Surface underway measurements of partial pressure of carbon dioxide (pCO2), sea surface salinity, temperature and other parameters obtained during the ship of opportunity (SOOP) M/S Trans Future-5 cruises in the Pacific Ocean in 2023 (NCEI Accession 0287548)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from M/S Trans Future 5 in the, North Pacific Ocean, Philippine Sea, Solomon Sea, South Pacific Ocean and Tasman Sea from 2023-01-07 to 2024-01-13. These data include absolute humidity, air temperature, air-sea difference - partial pressure of carbon dioxide (pCO2), pCO2 - atmosphere, pCO2 - water, barometric pressure, relative humidity, sea surface salinity, sea surface temperature, wind direction and speed. The instruments used to collect these data include barometric pressure sensor, carbon dioxide (CO2) gas analyzer, shower head chamber equilibrator for autonomous CO2 measurement and thermosalinographs.
DOI: 10.25921/g60g-ef82
title: Water temperature, conductivity, and others taken by CTD and Niskin bottles from the CCGS VECTOR in Coastal Waters of Southeast Alaska and British Columbia from 2023-06-24 to 2023-06-29 (NCEI Accession 0289466)

description: This dataset contains fully QA/QC'd oceanographic profile data collected aboard the CCGS VECTOR in the Coastal Waters of Southeast Alaska and British Columbia from 2023-06-24 to 2023-06-29. This dataset is the U.S. State Department MSR RATS U2023-017. The data types present in this accession include WATER TEMPERATURE, CONDUCTIVITY, SALINITY, HYDROSTATIC PRESSURE, and DEPTH collected with a SBE911PLUS CTD, as well as CHLOROPHYLL, DISSOLVED OXYGEN, PHAEOPIGMENT, PHOTOSYNTHETIC ACTIVE RADIATION (PAR), FLUORESCENCE, TRANSMISSIVITY, nitrate + nitrite, phosphate, and silicate collected using Niskin bottles, and LATITUDE and LONGITUDE from GPS. These data were collected by Sebastien Donnet and scientists from the Department of Fisheries and Oceans Canada; Institute of Ocean Sciences and submitted by Hayley Dosser from the Institute of Ocean Sciences. Data are in text format.
DOI: 10.15468/dl.2m4p6c
title: Occurrence Download

description: A dataset containing 45543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cephalopholis cruentata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45543 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011790-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/k14p-rs93
title: Seafloor topography, animals - individual, water temperature, and other underway data taken by CTD, echo sounder, and other instruments from the deep submersible research vehicle Shinkai6500 deployed from the research vessel Yokosuka in Marianas Trench Marine National Monument from 2023-07-25 to 2023-08-04 (NCEI Accession 0289670)

description: Based on the detail seafloor observation by human occupied vehicles (Shinkai6500), we observed the distribution of serpentinite-driven fluid flows and microbial and macrofaunal communities with the seafloor topography, obtained various types of rocks, sediments, deposits and waters, and animals. Most of the data and samples are still under investigation in onshore laboratories. These data are augmented by underway measurements taken by CTD installed on the Shinkai6500 and XBT profile data. This cruise is U.S. State Department MSR U2022-052 as part of the World Data Service for Geophysics and Oceanography. Data are in text and instrument-specific formats.
DOI: 10.5281/zenodo.17208330
title: 22–02098S: Properties of Slag-rich Binders

description: The dataset was obtained with financial support from the Czech Science Foundation under project No. 22–02098S. It contains data for three alkali-activated and slag-rich cement pastes and mortars, all of which were cured under five different curing modes:



Data from the shrinkage measurements obtained using a manual vertical length comparator (manual gauge, MG) and an embedded strain gauge (SG). 

Data for dynamic moduli and Poisson's ratio calculated from the resonant frequencies.

Data for flexural and compressive strength development.

Data from mercury intrusion porosimetry (MIP).


For all experimental details, refer to the published articles listed in the Related Work section (see below).

 

 
description: Cite this dataset properly if you reuse or further process it.
description: The files can only be accessed by users specified in the permissions. The permission will be assigned on request.
DOI: 10.5281/zenodo.17208331
title: 22–02098S: Properties of Slag-rich Binders

description: The dataset was obtained with financial support from the Czech Science Foundation under project No. 22–02098S. It contains data for three alkali-activated and slag-rich cement pastes and mortars, all of which were cured under five different curing modes:



Data from the shrinkage measurements obtained using a manual vertical length comparator (manual gauge, MG) and an embedded strain gauge (SG). 

Data for dynamic moduli and Poisson's ratio calculated from the resonant frequencies.

Data for flexural and compressive strength development.

Data from mercury intrusion porosimetry (MIP).


For all experimental details, refer to the published articles listed in the Related Work section (see below).

 

 
description: Cite this dataset properly if you reuse or further process it.
description: The files can only be accessed by users specified in the permissions. The permission will be assigned on request.
DOI: 10.11588/duerer.online.692846ae20ffe
title: Zwei Studien einer Frau aus dem Burgenland, https://d-nb.info/gnd/1197937528
DOI: 10.25921/2gxd-g268
title: Station profile and underway data taken by CTD and other instrumentation from the research vessel Mirai, cruise MR23-07, in the North Pacific and Bering Sea from 2023-10-08 to 2023-11-01 (NCEI Accession 0290761)

description: The dataset includes continuous measurements (navigation, meteorology, gravity, magnet, current velocity, radiation, cloud height, surface temperature, surface salinity) as well as station measurements (CTD, carbon, nutrients, dissolved oxygen, CFCs). This cruise is U.S. State Department MSR U2023-009 as part of the World Data Service for Geophysics and Oceanography. Data are in text and binary formats.