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MBON_colleting_methods_from_OBIS.ipynb
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"Data in this collection include the abundance of organisms observed during Self-Contained Underwater Breathing Apparatus (SCUBA) diver surveys conducted by Reef Check California (RCCA) volunteers in nearshore, rocky reef environments along the coast of California between 2006 and 2019. After completing training through RCCA, volunteer teams of divers select survey sites and perform surveys according to RCCA standard protocol. Since its inception in 2006, RCCA trained divers have conducted thousands of these surveys at hundreds of sites, including sites within more than 50 State Marine Reserves and State Marine Conservation Areas. \n",
"\n",
"At each site, buddy teams of divers conduct 18, 30 m x 2 m benthic transects to monitor key species of invertebrates, algae and fish. For fish and algae, size measurements are also collected. Finally, the substrate type, biological cover and relief of the reef are characterized, using a Uniform Point Contact (UPC) sampling strategy. Each site is divided into two \"zones\" by depth: shallow (5-12 m) and deep (12-18 m). These zones are distributed from offshore to inshore at sites with little depth variation. Half of the transects are conducted in each zone. RCCA’s survey methods are based on visual census survey methods developed by the Partnership of Interdisciplinary Studies of Coastal Oceans (PISCO) and have been modified so that they can be taught in a reasonable amount of time to volunteer SCUBA divers. Species are selected because of their ecological or economic importance or because they are of specific management interest. \n",
"\n",
"Data are presented as three comma-separated values (.csv) files: RCCA_occurrence.csv, RCCA_event.csv and RCCA_MoF.csv. The occurrence file contains the presence/absence and density for 33 invertebrate taxa, 9 algal taxa and 37 fish taxa, identified to the Genus or Species level. The event file contains the location of each site, the depth of each transect, and the date each transect was conducted. The Measurement or Fact (MoF) file contains temperature and visibility measurements taken at the beginning of each transect, the UPC data from each transect, the number of stipes for each giant kelp (Macrocystis pyrifera) observed, the length for each individual fish observed, and the minimum and maximum size for each group of fish observed. This data set was transformed from its native format into a table structure using Darwin Core term names as column names.\n",
"\n",
"Original data, additional size data, and full description of methods can be found at these links:\n",
"https://opc.dataone.org/view/doi%3A10.25494%2FP6JS3M, https://opc.dataone.org/view/doi%3A10.25494%2FP69885, https://opc.dataone.org/view/doi%3A10.25494%2FP65K5W, https://opc.dataone.org/view/doi%3A10.25494%2FP6F30N \n",
"\n",
"The data has these identifiers: doi:10.25494/P6JS3M, doi:10.25494/P69885, doi:10.25494/P65K5W, doi:10.25494/P6F30N \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"These data are from marine filtered seawater samples collected at a nearshore station in Monterey Bay, CA. They have undergone metabarcoding for the 18S V9 region. A selection of samples from this plate were included in the publication \"Environmental DNA reveals seasonal shifts and potential interactions in a marine community\" (Djurhuus et al., 2020). Samples were collected by CTD rosette and filtered by a peristaltic pump system.\n",
"Illumina MiSeq metabarcoding data was processed in the following steps: (1) primer sequences were removed through atropos (Didion et al., 2017), (2) reads were denoised, ASV sequences inferred, paired reads merged and chimeras removed through Dada2 (Callahan et al., 2016), (3) taxonomic ranks were assigned through blastn searches to NCBI GenBank's non-redundant nucleotide database (nt) with hits filtered by lowest common ancestor algorithm within MEGAN6 (Huson et al., 2016). Furthermore, post-MEGAN6 filtering was performed to ensure only contigs with a hit of ≥97% sequence identity were annotated to the species level and only contigs with a hit of ≥95% sequence identity were annotated to the genus level. Annotations were elevated to the next highest taxonomic level for contigs that failed these conditions.\n",
"Data are presented in two comma-separated values files: occurrence.csv, and DNADerivedData.csv. The former contains the taxonomic identification of each ASV observed and its number of reads, in addition to relevant metadata including the location the water sample was taken, references for the identification procedure, and links to archived sequences. The latter contains the DNA sequence of each ASV observed, in addition to relevant metadata including primer information and links to detailed field and laboratory methods. This data set was transformed from its native format into a table structure using Darwin Core and DNA Derived Data Extension term names as column names.\n",
"References:\n",
"Djurhuus, A, Closek, CJ, Kelly, RP et al. (2020). Environmental DNA reveals seasonal shifts and potential interactions in a marine community. Nat Commun 11, 254. https://doi.org/10.1038/s41467-019-14105-1\n",
"Didion JP, Martin M, Collins FS. (2017) Atropos: specific, sensitive, and speedy trimming of sequencing reads. PeerJ 5:e3720 https://doi.org/10.7717/peerj.3720\n",
"Callahan, B., McMurdie, P., Rosen, M. et al. (2016) DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods 13, 581–583 . https://doi.org/10.1038/nmeth.3869\n",
"Huson DH, Beier S, Flade I, Górska A, El-Hadidi M, Mitra S, Ruscheweyh HJ, Tappu R. (2016) MEGAN community edition-interactive exploration and analysis of large-scale microbiome sequencing data. PLoS computational biology. Jun 21;12(6):e1004957. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"Long-Term Monitoring and Biodiversity Surveys done by the Multi-Agency Rocky Intertidal Network (MARINe) occur throughout the year at sites ranging from Southeast Alaska to Mexico. Long Term Monitoring surveys assess within-site community change over time, while Biodiversity surveys were designed to capture among-site patterns of community structure (abundance and spatial distribution of species). In combination, the long-term, targeted species approach and the biodiversity surveys provide a wealth of information about the structure and dynamics of rocky intertidal communities along the Pacific Coast of North America.\n",
"This metadata record documents the Photo Plot and Transect Survey data for MARINe Long-Term Monitoring surveys. Photo Plots are used to monitor percent cover of organisms within target species assemblages. Plots are established for a given species assemblage if overall cover at a site is sufficient for monitoring. Transects are used to monitor percent cover of surfgrass, kelps, and other algae.\n",
"Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org.\n",
"The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884\n",
"The source data for this dataset can be found here: https://data.piscoweb.org/metacatui/view/doi%3A10.6085%2FAA%2Fmarine_ltm.12.9 \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission?s (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission?s (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission?s (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"These data are reef fish observations from surveys conducted in the Florida Keys in 1995. These surveys were part of the developmental years of what became the Reef Visual Census, described in the project metadata, Bohnsack et al. 1999 and Smith et al. 2011 \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"In 1998, the Florida Fish and Wildlife Conservation Commission?s (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries. \n",
"--\n",
"\n",
"These data are reef fish observations from surveys conducted in the Florida Keys in 1994. These surveys were part of the developmental years of what became the Reef Visual Census, described in the project metadata, Bohnsack et al. 1999 and Smith et al. 2011 \n",
"--\n",
"\n",
"This dataset is three comma-separated values (csv) files containing fish haul information collected during trawl surveys in the Chukchi Sea during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. Tables describe haul event information, species occurrence per haul, and fish morphometric information. Fish were collected with a plump-staff beam trawl and Isaac-Kidds midwater trawl, identified to species, and their life stage, length, and weight were measured and recorded. The data was transformed from the native format into a table structure using Darwin Core terms and organized in the OBIS-ENV-DATA format. \n",
"--\n",
"\n",
"This dataset contains benthic epifauna biomass and abundance data collected in the Chukchi Sea, U.S. Arctic during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise aboard the vessel Norseman II. The dataset contains two comma separated values (csv) files exported from Microsoft Excel. These data were generated from epifauna samples conducted using beam trawls during the research cruise. \n",
"--\n",
"\n",
"Sampling is carried out bi-monthly on the R/V Walton Smith (University of Miami) as part of the South Florida Program (NOAA Atlantic Oceanographic and Meteorological Laboratory/ AOML) and the Marine Biodiversity Observation Network (MBON). Samples are collected at three stations: Molasses Reef (25.051638 N, 280.22858 W), Looe Key (24.323028 N, 281.248068 W), and Western Sambo (24.286048 N, 281.428898 W). At each station, horizontal hauls (surface water) are performed with 64, 200, and 500 mm mesh size Bongo plankton nets. Each net tow is carried out for 5 min at 1 knot. The three size classes are split using a Folsom plankton splitter and preserved with 15 % formalin for morphological analysis. Morphological identification follow the protocols of the International Council for the Exploration of the Sea (ICES) (Roger et al. 2000) targeting a minimum count of 200 animals per sample. For the 64 and 200 mm net tows, a 5–10 mL aliquot is subsampled after resuspension of 300 ml of the original zooplankton sample using a Stempel pipette. Zooplankton are then identified and counted using a microscope. Zooplankton are identified to the lowest taxonomic level possible. Zooplankton abundances (density; individuals m-3) are calculated by dividing animal counts by the product of net mouth area, tow speed, and tow duration (i.e., volume of water filtered by the net). Abundances of gastropods, the copepod order Harpacticoida, and the genera Paracalanus and Oithona are converted to biomass after Kelble et al. (2010). \n",
"--\n",
"\n",
"These data describe the abundance of reef fish as part of the Santa\n",
" Barbara Coastal LTER program (SBC LTER) to track long-term patterns in\n",
" kelp forest reef species abundance and diversity. The study began in\n",
" 2000 in the Santa Barbara Channel, California, USA, and the time\n",
" series is ongoing and updated approximately annually.\n",
"Abundances of all taxa of resident kelp forest fish encountered along\n",
" permanent transects are recorded at nine reef sites located along the\n",
" mainland coast of the Santa Barbara Channel and at two sites on the\n",
" north side of Santa Cruz Island. These sites reflect several\n",
" oceanographic regimes in the channel and vary in distance from sources\n",
" of terrestrial runoff. In these surveys, fish were counted in either a\n",
" 40x2m benthic quadrat, or in the water parcel 0-2m off the bottom over\n",
" the same area.\n",
"This dataset is formatted as a Darwin Core Archive (DwC-A, occurrence\n",
" core). All taxa are counted (using an open species list), and\n",
" abundances are zero-filled for each taxon not encountered. This is a\n",
" derived data product and less-processed data may be available. See\n",
" for\n",
" more information and source data, which may include additional\n",
" measurements, and\n",
" \n",
" for processing notes. \n",
"--\n",
"\n",
"This dataset contains seabird survey and associated environmental conditions data collected in the Chukchi Sea during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. Seabirds were surveyed using line transect methods. Seabird observations were recorded directly into a laptop computer using software which logged the geographic coordinates of each sighting. Incidental sightings of marine mammal were also recorded. Supplementary environmental data are included for the beginning of each survey period. The dataset is two comma-separated values (csv) files. The file named dlog_2015_dwc_core.csv contains the count of observed marine birds and mammals by species, their behavior, and the environmental conditions recorded during the surveys for the 2015 research cruise. The file named taxon_codes_2015.csv is an associated taxon code list of the observed species. This dataset was transformed from the native format into a table structure using Darwin Core term names as column names. \n",
"--\n",
"\n",
"This data consists of counts of putative zooplankton OTUs, revealed through metabarcoding of the cytochrome oxidase I (COI) gene extracted from filtered water samples in the Florida Keys National Marine Sanctuary during 2016. It includes results from 95 water samples taken over three days at three coral reef sites. After data processing, a total of 194 taxa were identified; the identification was to the species level, with only a few to the genus level. \n",
"--\n",
"\n",
"Marine biodiversity is a key component of ocean health. Monitoring and understanding marine biodiversity is essential for our ability to forecast and respond to changes. The goal of the Arctic Marine Biodiversity Observing Network (AMBON) project is to demonstrate and build an operational marine biodiversity observing network from microbes to whales, integrating diversity levels from genetic to organismal. AMBON field region is located on the Chukchi Sea continental shelf in the US Arctic as a region exposed to climatic changes and anthropogenic influences. This dataset contains biomass and abundance data collected in the Chukchi Sea during the August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. Epifauna samples were collected using beam trawl during a research cruise during August 2017 in the Chukchi Sea, U.S. Arctic. The data consist of biomass per taxon of epibenthic invertebrates. The dataset is a comma separated values file exported from a Microsoft Excel spreadsheet. This dataset was transformed from the native format into a table structure using Darwin Core term names as column names. \n",
"--\n",
"\n",
"This dataset contains seabird survey and associated environmental conditions data collected in the Chukchi Sea during the 5 August - 25 August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruises. Seabirds were surveyed using line transect methods. Seabird observations were recorded directly into a laptop computer using software which logged the geographic coordinates of each sighting. Incidental sightings of marine mammal were also recorded. Supplementary environmental data are included for the beginning of each survey period. The dataset is two comma-separated values (csv) files. The file named dlog_2017_dwc_core.csv contains the count of observed marine birds and mammals by species, their behavior, and the environmental conditions recorded during the surveys for the 2017 research cruise. The file named taxon_codes_2017.csv is an associated taxon code list of the observed species.This dataset was transformed from the native format into a table structure using Darwin Core term names as column names. \n",
"--\n",
"\n",
"This dataset contains pinniped observation data conducted during shipboard transects in the Chukchi Sea during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is three comma-separated values (csv) files describing the dates, times, latitude, longitude, species and best-high-low estimates of numbers for each pinniped (seals, seal lions, and walrus) sighting. This dataset was exported from the marine bird and mammal observation software WinCruz from the entire survey, and later transformed from the native WinCruz format into Darwin Core formatted tables (DwC, occurrence core), with DwC term names as column names. \n",
"--\n",
"\n",
"Mesozooplankton time series data collected at Wilkinson Basin Time Series (WBTS) between January 1, 2005 and July 19, 2017. Sampling was conducted in collaboration with Drs. Doug Vandemark and Joe Salisbury and Research Associate Shawn Shellito at the University of New Hampshire (UNH). Between 2004-2008, the WBTS station was sampled at approximately monthly intervals by the Coastal Ocean Observing and Analysis Center (COOA: http://www.opal.sr.unh.edu/) at the University of New Hampshire, where J. Runge was a research faculty member until moving to the University of Maine in October, 2006. The WBTS station (known as Station WB-7 during the COOA project) was the furthest station on a transect extending out from Portsmouth Harbor. Funding for COOA ended in 2008 and the Wilkinson Basin was sampled at much less frequent intervals without zooplankton sample collection between September, 2008 and April, 2012. Between April 6, 2012 and May 21, 2013, the WBTS station was sampled at monthly intervals including zooplankton collection with the support of an NSF RAPID award to J. Runge (OCE-.1235920). In 2014, WBTS was sampled on three occasions. With the NSF award OCE- 1459087, entitled “Collaborative Research: Mechanisms supporting persistence of a key plankton species during climate change on the Northwest Atlantic continental shelf”, funding for monthly sampling at the WBTS station was supported between March, 2015 to July, 2017. The zooplankton samples were collected and analyzed by Rebecca Jones (2005-2011) and Cameron Thompson (2012-2017) under the supervision of J.Runge. Hydrographic and other environmental data were collected by the OPAL group at UNH under the supervision of J. Salisbury and D. Vandemark. \n",
"--\n",
"\n",
"This dataset contains marine mammal observation data conducted during shipboard transects in the Chukchi Sea during the 5 August - 25 August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is two comma-separated values (csv) files exported from the marine bird and mammal observation software WinCruz from the entire survey. One data file contains the dates,times, latitude, longitude, species and best-high-low estimates of numbers for cetacean (whales) and pinniped (seals, seal lions, and walrus) sightings. The second data file contains the track of the ship (as geographic coordinates) and the Beaufort sea state at two minute intervals as a measurement of effort. This dataset was transformed from the native format into a table structure using Darwin Core Archive (DwC-A, occurrence core) term names as column names. \n",
"--\n",
"\n",
"This dataset contains cetacean observation data conducted during shipboard transects in the Chukchi Sea during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is two comma-separated values (csv) files describing the dates, times, latitude, longitude, species and best-high-low estimates of numbers for each cetacean (whales). This dataset was exported from the marine bird and mammal observation software WinCruz from the entire survey, and later transformed from the WinCruz format into Darwin Core formatted tables (DwC, occurrence core), with DwC term names as column names. \n",
"--\n",
"\n"
]
}
],
"source": [
"import pandas as pd\n",
"import pyobis\n",
"\n",
"institution_id = 23070\n",
"\n",
"query = pyobis.dataset.search(instituteid=institution_id)\n",
"\n",
"df = pd.DataFrame(query.execute())\n",
"\n",
"df_meta = pd.DataFrame.from_records(df[\"results\"])\n",
"\n",
"for line in df_meta['abstract']:\n",
" print(line,'\\n--\\n')"
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "ZvxDOlf1WuWy"
},
"execution_count": null,
"outputs": []
}
]
}
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