Find research datasets worth reusing

Santa Barbara Channel Marine BON: Nearshore kelp forest integrated benthic cover, 1980-ongoing

The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains cover of kelp forest sessile invertebrates, understory macroalgae, and substrate types by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. Divers collect data on using either uniform point contact (UPC) or random point contact (RPC) methods. The four contributing projects are two research projects: The Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. Percent cover is recorded for taxa where individuals cannot be counted. Cover can be calculated from the data here as the fraction of total points at which the taxon was present x 100. With UPC and RPC methods, multiple species can be recorded at any given point. The total percent cover of all species combined using this method can exceed 100%; however, the percent cover of any single species cannot exceed 100%. See Methods for information on integration and data processing. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In

Santa Barbara Channel Marine BON: Nearshore kelp forest integrated fish, 1981-ongoing

The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains counts of fish (including cryptic fish, which are deliberately sought out) produced by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. The four contributing projects are two research projects, the Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), and the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1980 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. This dataset includes five entities, three data tables and two R scripts. The main data table contains counts of organisms, the bottom-area and height of the water column over which the fish were surveyed. The column labeled “count” records the number of organisms found in each plot/transect at a given timestamp. A second data table contains place names and geolocation for sampling sites. Information is sufficient for the calculation of fish density, which is left to the user. The third data table contains the depths of each transect the for the fish survey. Sample R script is included to illustrate generation of a basic table of areal density by taxa and sampling site. A second R script is included to convert these data from their primary MBON structure to a Darwin Core Archive (and available through multiple sources). MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are i

Santa Barbara Channel Marine BON: Nearshore kelp forest integrated quad and swath survey, 1980-ongoing

The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains counts of algae and invertebrates (both sessile and mobile) by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. The four contributing projects are two research projects: The Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. The data table documents the number of organisms and the area over which that number was counted for calculation of areal abundance. Data were collected by human observation (divers using SCUBA) during regular surveys. The algae and invertebrate counts record the number of taxa found in each plot, including quad (small square plots such as 1 or 2 m2) and swath (large linear plots such as 60 m2). See Method and protocol for information on integration and data processing. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In addition, any manuscript generated using this dataset is expected to be sent to the data owners before publication so we can be sure t

Santa Barbara Channel Marine BON: Nearshore kelp forest integrated taxa, 1980-ongoing

The Santa Barbara Channel Marine Biodiversity Network (SBC MBON) tracks long-term patterns in species abundance and diversity. By integrating research and monitoring efforts (both existing and de novo data), we provide a comprehensive view of biodiversity in the region. This dataset is a combined species list from four datasets currently handled and integrated by SBC MBON, with identifiers from an appropriate taxonomic registry included for each taxon. Because this species list reflects the integration of multiple collections, it will be updated as SBC MBON integration efforts develop. Santa Barbara Channel Marine BON: Integrated kelp forest/reef: Fish https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=5&revision=newest Santa Barbara Channel Marine BON: Integrated kelp forest/reef: Quad and swath cover https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=6&revision=newest Santa Barbara Channel Marine BON: Integrated kelp forest/reef: Benthic cover https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=3&revision=newest As of 2018, this dataset contains approximately 400 taxa from combined observations beginning in 1980. Data include codes for the originating project and sampling method, plus basic taxonomic lineage. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In addition, any manuscript generated using this dataset is expected to be sent to the data owners before publication so we can be sure the data is used in the proper context and methods are reported accurately: Santa Barbara Coastal LTER (LTER): Dan Ree

PM_050378_B_Bon_Secours

File Name: PM_050378_B_Bon_Secours.jpg Sublocation: Bon-Secours, Basilique Notre-Dame Location: Péruwelz Province: Hainaut Country: Belgium Header: Extérieur. Description: Basilica (Basilique Notre-Dame) 19th century Eclecticism Neo-Gothic Exterior Keywords: Belgium, Bon-Secours (Péruwelz), Cultural heritage, Eclecticism, Europe, Hainaut, Monuments, Neo-Gothic, Péruwelz, Styles Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

PM_050371_B_Bon_Secours

File Name: PM_050371_B_Bon_Secours.jpg Sublocation: Bon-Secours, Basilique Notre-Dame Location: Péruwelz Province: Hainaut Country: Belgium Header: Extérieur. Détail du portique d'entrée. Description: Basilica (Basilique Notre-Dame) 19th century Eclecticism Neo-Gothic Exterior Keywords: Belgium, Bon-Secours (Péruwelz), Cultural heritage, Eclecticism, Europe, Hainaut, Monuments, Neo-Gothic, Péruwelz, Styles Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

PM_050375_B_Bon_Secours

File Name: PM_050375_B_Bon_Secours.jpg Sublocation: Bon-Secours Location: Péruwelz Province: Hainaut Country: Belgium Header: Monument aux morts 1914-17. Description: War memorial 1914-17. Keywords: Belgium, Bon-Secours (Péruwelz), Cultural heritage, Europe, Hainaut, Monuments, Péruwelz, War memorial Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

PM_050376_B_Bon_Secours

File Name: PM_050376_B_Bon_Secours.jpg Sublocation: Bon-Secours Location: Péruwelz Province: Hainaut Country: Belgium Header: Monument de Jean Absil (23 octobre 1893 - 2 février 1974) est un compositeur de musique moderniste belge, organiste et professeur au Conservatoire de Bruxelles. Description: Monument of Jean Absil (October 23, 1893 - February 2, 1974) was a Belgian modernist music composer, organist, and professor at the Brussels Conservatory. Keywords: Belgium, Bon-Secours (Péruwelz), Bronze sculpture, Cultural heritage, Europe, Hainaut, Monuments, Public monument, Péruwelz, Sculpture, Techniques Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

PM_050383_B_Bon_Secours

File Name: PM_050383_B_Bon_Secours.jpg Sublocation: Bon-Secours, Basilique Notre-Dame Location: Péruwelz Province: Hainaut Country: Belgium Header: Basilique Notre-Dame. 19ème siècle. Éclectisme. Néo-gothique. Extérieur. Description: Basilica (Basilique Notre-Dame) 19th century Eclecticism Neo-Gothic Exterior Keywords: Belgium, Bon-Secours (Péruwelz), Cultural heritage, Eclecticism, Europe, Hainaut, Monuments, Neo-Gothic, Péruwelz, Styles Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

PM_050379_B_Bon_Secours

File Name: PM_050379_B_Bon_Secours.jpg Sublocation: Bon-Secours Location: Péruwelz Province: Hainaut Country: Belgium Header: Intérieur d'un café. Description: Interior of a café. Keywords: Architecture, Bar interior, Bar interior/exterior, Belgium, Bon-Secours (Péruwelz), Cultural heritage, Europe, Hainaut, My photography, Péruwelz, Thematic Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

PM_050373_B_Bon_Secours

File Name: PM_050373_B_Bon_Secours.jpg Sublocation: Bon-Secours, Basilique Notre-Dame Location: Péruwelz Province: Hainaut Country: Belgium Header: Extérieur. Description: Basilica (Basilique Notre-Dame) 19th century Eclecticism Neo-Gothic Exterior Keywords: Belgium, Bon-Secours (Péruwelz), Cultural heritage, Eclecticism, Europe, Hainaut, Monuments, Neo-Gothic, Péruwelz, Styles Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

PM_050377_B_Bon_Secours

File Name: PM_050377_B_Bon_Secours.jpg Sublocation: Bon-Secours, Basilique Notre-Dame Location: Péruwelz Province: Hainaut Country: Belgium Header: Extérieur. Détail du portique d'entrée. Description: Basilica (Basilique Notre-Dame) 19th century Eclecticism Neo-Gothic Exterior Detail entrance portico Keywords: Belgium, Bon-Secours (Péruwelz), Cultural heritage, Europe, Hainaut, Péruwelz Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

openCC (other)Mar 2020View details →

edi48/100

Santa Barbara Channel Marine BON Darwin Core Archive: Nearshore kelp forest integrated benthic cover, 1980-ongoing

The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains cover of kelp forest sessile invertebrates, understory macroalgae, and substrate types by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. Divers collect data on using either uniform point contact (UPC) or random point contact (RPC) methods. The four contributing projects are two research projects: The Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. Percent cover is recorded for taxa where individuals cannot be counted. Cover can be calculated from the data here as the fraction of total points at which the taxon was present x 100. With UPC and RPC methods, multiple species can be recorded at any given point. The total percent cover of all species combined using this method can exceed 100%; however, the percent cover of any single species cannot exceed 100%. See Methods for information on integration and data processing. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). This dataset is formatted as a Darwin Core Archive (DwC-A, occurrence core). This is a derived data product and see provenance for the source data. For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your

edi48/100

Santa Barbara Channel Marine BON Darwin Core Archive: Nearshore kelp forest integrated quad and swath cover, 1980-ongoing

The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains counts of algae and invertebrates (both sessile and mobile) by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. The four contributing projects are two research projects: The Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. The data table documents the number of organisms and the area over which that number was counted for calculation of areal abundance. Data were collected by human observation (divers using SCUBA) during regular surveys. The algae and invertebrate counts record the number of taxa found in each plot, including quad (small square plots such as 1 or 2 m2) and swath (large linear plots such as 60 m2). See Method and protocol for information on integration and data processing. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). This dataset is formatted as a Darwin Core Archive (DwC-A, occurrence core). This is a derived data product and see provenance for the source data. For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the down

openCC (other)Mar 2020View details →

edi44/100

Santa Barbara Channel Marine BON: Gray Whales Count

This dataset documents the passage of gray whales (Eschrichtius robustus) migrating northbound since 2007, through the nearshore areas of the Santa Barbara Channel, along a corridor extending approximately 3 nautical miles (nm) from the mainland shore. The data is collected by a non-profit organization Gray Whales Count (http://www.graywhalescount.org/GWC/The_Count/The_Count.htmt), which is a research and education project. The survey is conducted at the Coal Oil Point Reserve in Goleta, California, USA. The coastline runs east-west, with northbound whales traveling west, left to right across our Point towards Point Conception. Every year, we survey 98 consecutive days from early February through mid-May. Conditions permitting, each survey-day begins at 9 AM and ends usually at 5 PM.

openCC (other)Mar 2020View details →

opencc-by-4.0Dec 2023View details →

Soil BON Earthworm Trait template

Within the Soil BON Earthworm initiative, a trait template was developed, building largely on the one created for the BETSI database (Pey et al, 2014a, b). Similarly, the data template is composed of several leaflets:<ol><li>"readme": this leaflet contains all column names from the leaflet "template to fill with data" and provide the necessary information to properly fill the information needed.</li><li>"template to fill with data": this leaflet is a long-format table in which each line is a trait value from a specific reference, allowing multiple trait values of the same trait for the same species to account for intraspecific trait variability due to inter-population variability, geography or ontogeny</li><li>"drop down list": this leaflet is non-modifiable and contains the different lists from which trait values are taken (e.g. trait name) to avoid synonyms.</li></ol>Trait expression is highly influenced by the environment and metadata associated with any trait value is necessary. For certain traits, meta-data is especially important, such as burrow system characteristics that need to be linked to soil volume, density, moisture levels, or cast characteristics that need to be compared to the bulk soil. The trait template will be updated in the future to offer a solution to link single trait data and the metadata associated.

opencc-zeroJun 2024View details →

Dataset: Bon Natural Life Limited (BON) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-by-4.0Aug 2024View details →

Figure 2 in Soil BON Earthworm - A global initiative on earthworm distribution, traits, and spatiotemporal diversity patterns

Figure 2. Information on studies that will be resampled globally by the Soil BON Earthworm consortium. (A) Global distribution of studies, with the distribution of sites along longitude and latitude, (B) distribution of ecosystem types among studies, (C) localization of sites among terrestrial biomes defined by Mean Annual Temperature (MAT, °C) and Mean Annual Precipitation (MAP, mm), with the distribution of MAT and MAP values, (D) distribution of time span with blue and green colors representing the variable distribution before and after resampling, respectively, (E) Temporal coverage of individual studies.

opencc-by-4.0Aug 2024View details →

Figure 3 in Soil BON Earthworm - A global initiative on earthworm distribution, traits, and spatiotemporal diversity patterns

Figure 3. Global distribution of Oligochaeta observations on iNaturalist (assessed on the 16th of November 2023) and longitudinal and latitudinal distribution.