GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Data repository  (5)
  • Knorr (Ship : 1970-) Cruise KN98  (3)
  • 1
    facet.materialart.
    Unknown
    Woods Hole Oceanographic Institution
    Publication Date: 2022-05-26
    Description: See Supplementary information.txt for information regarding how access and use the files in WHOI-89-24-data.zip
    Description: Net tows were collected with a Multiple Opening/Closing Net Environmental Sampling System (MOCNESS) carrying twenty 1-m2 nets in October 1982 in and near warm-core ring 82-H in the North Atlantic (RV/Knorr cruise 98). This report includes the species list and abundance tables of the copepods found in five of the tows. There are four types of abundance tables: raw data, standardized to #/1000 m3 , integrated #/m2 to 1000 m depth, and cumulative percents over the depth of the tows.
    Description: Funding was provided by the National Science Foundation through grant Number OCE 80-12748, OCE 85-08350, OCE 87-09962, OCE 80-19055, and OCE 80-17271.
    Keywords: Copepoda ; Knorr (Ship : 1970-) Cruise KN98
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
    Format: application/zip
    Format: application/pdf
    Format: text/plain
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2022-05-26
    Description: Presented at Data Curation Network, May 15, 2020
    Description: At domain-specific data repositories, curation that strives for FAIR principles often entails transforming data submissions to improve understanding and reuse. The Biological and Chemical Oceanography Data Management Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification of the Frictionless Data project (https://frictionlessdata.io) in an effort to improve its data curation process efficiency. In doing so, BCO-DMO has been using the Frictionless Data Package Pipelines library (https://github.com/frictionlessdata/datapackage-pipelines) to define the processing steps that transform original submissions to final data products. Because these pipelines are defined using a declarative language they can be serialized into formal provenance data structures using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). While there may still be some curation steps that cannot be easily automated, this method is a step towards reproducible transforms that bridge the original data submission to its published state in machine-actionable ways that benefit the research community through transparency in the data curation process. BCO-DMO has built a user interface on top of these modular tools for making it easer for data managers to process submission, reuse existing workflows, and make transparent the added value of domain-specific data curation.
    Description: NSF #1924618
    Keywords: Data Curation ; Provenance ; Workflows ; Frictionless Data ; Data management ; Data repository
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2022-05-26
    Description: Presented at USGS Data Management Working Group, 9, November 2020
    Description: At domain-specific data repositories, curation that strives for FAIR principles often entails transforming data submissions to improve understanding and reuse. The Biological and Chemical Oceanography Data Management Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification of the Frictionless Data project (https://frictionlessdata.io) in an effort to improve its data curation process efficiency. In doing so, BCO-DMO has been using the Frictionless Data Package Pipelines library (https://github.com/frictionlessdata/datapackage-pipelines) to define the processing steps that transform original submissions to final data products. Because these pipelines are defined using a declarative language they can be serialized into formal provenance data structures using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). While there may still be some curation steps that cannot be easily automated, this method is a step towards reproducible transforms that bridge the original data submission to its published state in machine-actionable ways that benefit the research community through transparency in the data curation process. BCO-DMO has built a user interface on top of these modular tools for making it easier for data managers to process submission, reuse existing workflows, and make transparent the added value of domain-specific data curation.
    Description: NSF #1924618
    Keywords: Data Curation ; Provenance ; Workflows ; Frictionless Data ; Data management ; Data repository
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2022-05-26
    Description: Presented at Ocean Sciences Meeting (OSM), San Diego, CA, 16 - 21 February 2020
    Description: BCO-DMO is the Biological and Chemical Oceanography Data Management Office. We help oceanography researchers who are funded by the National Science Foundation’s (NSF's) Division of Ocean Sciences' (OCE) Biological or Chemical Oceanography Sections or the Division of Polar Programs' Antarctic Organisms & Ecosystems Program manage their data, making them accessible over the internet. This lightning talk gives a brief overview of who we are, who we work with, and the types of data we manage.
    Description: Award(s): NSF #1924618
    Keywords: Data Curation ; Data management ; Data repository
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2022-05-26
    Description: Presented at AGU Ocean Sciences, 11 - 16 February 2018, Portland, OR
    Description: The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a domain-specific digital data repository that works with investigators funded under the National Science Foundation’s Division of Ocean Sciences and Office of Polar Programs to manage their data free of charge. Data managers work closely with investigators to satisfy their data sharing requirements and to develop comprehensive Data Management Plans, as well as to ensure that their data will be well described with extensive metadata creation. Additionally, BCO-DMO offers tools to find and reuse these high-quality data and metadata packages, and services such as DOI generation for publication and attribution. These resources are free for all to discover, access, and utilize. As a repository embedded in our research community, BCO-DMO is well positioned to offer knowledge and expertise from both domain trained data managers and the scientific community at large. BCO-DMO is currently home to more than 9000 datasets and 900 projects, all of which are or will be submitted for archive at the National Centers for Environmental Information (NCEI). Our data holdings continue to grow, and encompass a wide range of oceanographic research areas, including biological, chemical, physical, and ecological. These data represent cruises and experiments from around the world, and are managed using community best practices, standards, and technologies to ensure accuracy and promote re-use. BCO-DMO is a repository and tool for investigators, offering both ocean science data and resources for data dissemination and publication.
    Description: NSF #1435578
    Keywords: Data management ; Data tools ; Data sharing ; Data re-use ; Data citation ; Data repository
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2022-05-26
    Description: Compiled in this report are tables of zooplankton biomass data (displacement volume), carbon equivalents, and associated net tow data (volume filtered, depth, temperature, and salinity) collected with a Multlple Opening/Closing Net Environmental Sampling System (MOCNESS) during the warm-core ring cruises which took between September 1981 and October 1982. Rings sampled were 81-D, 82-B, and 82-H. Also included are plots of tow positions relative to ring center and plots of biomass and cumulative proportion of biomass versus depth. A total of 81 tows and 1220 samples were taken.
    Description: Funding was provided by the National Science Foundation under Grant OCE 80-17248.
    Keywords: Zooplankton ; Warm Core Rings ; Atlantis II (Ship : 1963-) Cruise AII110 ; Oceanus (Ship : 1975-) Cruise OC116 ; Oceanus (Ship : 1975-) Cruise OC118 ; Oceanus (Ship : 1975-) Cruise OC121 ; Oceanus (Ship : 1975-) Cruise OC125 ; Knorr (Ship : 1970-) Cruise KN98
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2022-05-26
    Keywords: Endeavor (Ship: 1976-) Cruise EN90 ; Knorr (Ship : 1970-) Cruise KN98 ; Water masses ; Ocean circulation ; Marine biology ; Chemical oceanography ; Warm Core Rings
    Repository Name: Woods Hole Open Access Server
    Type: Working Paper
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2022-10-21
    Description: Presented at AGU Fall Meeting 10 – 14 December 2018, Washington, D.C.
    Description: The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and Antarctic Organisms & Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archiving with appropriate national facilities. Recently, more and more of the projects submitted to BCO-DMO represent modeling efforts which further increase our knowledge of the chemical and biological properties within the ocean ecosystem. But, as a repository traditionally focused on observational data as a primary research output, what roles should domain-specific data repositories play in this field? Recognizing code as a first class research product, how should repositories support the discovery, access and reuse of code and software used in hypothesis driven research? We feel the time is at hand for the community to begin a concerted and holistic approach to the curation of code and software. Such strategy development should begin with asking what is the appropriate output to curate? What is the minimum metadata required for re-use? How should code be stored and accessed? Should repositories support or facilitate peer reviewing code? The answers to these questions will better inform domain-specific repositories on how to better manage code as a first class research asset in order to support the scientific community. This presentation will explore these topics, inviting discussion from the audience to advance a collective strategy.
    Description: NSF #1435578
    Keywords: Data management ; Provenance ; Data repository ; Worfklow ; Modeling Conference Name: AGU 2018 Conference Location: Washington, D.C
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...