cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/db96eb4cdcad9df76b6f39401df9c340
title: Gaviota Fire Perimeter (Santa Barbara County, CA), June 9, 2004 - From Geospatial Multi-Agency Coordination Group (GeoMAC)

description: The Gaviota Fire burned from 2004-06-05 to 2004-06-12, 15 miles west of Santa Barbara, Santa Barbara County. Approximately 7440 acres were burned (information per http://cdfdata.fire.ca.gov). This dataset contains a KML polygon showing the extent of the fire on 2004-06-09, and was acquired by request from the Geospatial Multi-Agency Coordination Group (GeoMAC, http://www.geomac.gov). These data are based upon input from incident intelligence sources, Global Positioning System (GPS) data, and infrared (IR) imagery. See methods for more information.
DOI: 10.6073/pasta/a8ae175b1bb99848c547c6cfd3a13603
title: SBC LTER: Reef: Geospatial structure of microsatellite markers for the giant kelp, Macrocystis pyrifera, Santa Barbara CA, 2009

description: Data package includes data and R code for the examination of geospatial genetic structure (SGS) and simulation of inbreeding in giant kelp (Macrocystis pyrifera) from the Santa Barbara Channel, California. Data are reported for microsatellite markers from individual giant kelp plants from Carpinteria Reef, Mohawk Reef and Goleta Bay, collected during September 2009. Relative X and Y coordinates (meters) were recorded for each specimen sampled. R code consists of two scripts, a) to calculate mean number of alleles per locus, and observed and expected heterozygosity, and b) to simulate self-fertilization and sibling/cousin relationships. These data were presented in: Johansson, Mattias L, Raimondi, Peter T, Reed, Daniel C, Coelho, Nelson C, Serrão, Ester A, Alberto, Filipe A. In press. Looking into the black box: simulating the role of self-fertilization and mortality in the genetic structure of Macrocystis pyrifera. Molecular Ecology, 22:4842–4854. These data are also available from: Johansson ML, Raimondi PT, Reed DC, Coelho NC, Serrão EA, Alberto FA (2013) Data from: Looking into the black box: simulating the role of self-fertilization and mortality in the genetic structure of Macrocystis pyrifera. Dryad Digital Repository. doi:10.5061/dryad.s1b07.
DOI: 10.6073/pasta/9f0cec43169bdd2f6ec9f13b4aad589d
title: SBC LTER: Kelp blade characteristics to support turnover dynamics of giant kelp, Macrocystis pyrifera in the Santa Barbara Channel

description: These data describe the age-specific changes in the size and related traits of giant kelp (Macrocystis pyrifera) blades in the Santa Barbara Channel (Isla Vista Reef) during the spring and summer of 2012-2013. Data are contained in three tables: 1) a time series of change in blade size with age due to growth and senescence for blades growing at different depths and locations in the kelp forest, 2) physical traits of blades (biomass density, nitrogen, chlorophyll a) of different ages collected at different depths and locations in the kelp forest, and 3) photosynthetic performance (Pmax, alpha) of blades of different ages collected at different depths and locations in the kelp forest. These data were used to test whether spatial variation in the turnover dynamics of giant kelp blades could be could be explained by leaf life span theory developed for higher plants. The data were also used in a mathematical model of frond growth and senescence to investigate the relative and absolute magnitude of blade senescence in a kelp forest, and to examine how these losses were affected by light availability. Analyses using these data were published in Rodriguez, G. E. 2014. Turnover dynamics of the giant kelp, Macrocystis pyrifera. Ph.D., University of California, Santa Barbara. ProQuest, UMI Dissertations Publishing, 2014. 3682967.
DOI: 10.6073/pasta/66aaaa7d4891e57ec561d53d22baa905
title: SBC LTER: REEF: Macrocystis pyrifera blade area and loss in Southern California

description: These data describe losses of giant kelp (Macrocystis pyrifera) blade tissue observed in the Santa Barbara Channel (Isla Vista Reef) during the summer of 2012. Data are contained in two tables: 1) a time series of measured change in blade area over time at different depths and locations in the kelp forest, 2) modeled estimates of partial blade losses specific to blades on subsurface fronds and blades in the water column and canopy sections of surface reaching fronds.
DOI: 10.6073/pasta/d4626ff3b78d7bcd74e1b6b5cf16272d
title: Kelp Metapopulations: Macrocystis pyrifera microsatellite marker biogeography study

description: Dataset contains microsatellite genotypes specific for Macrocystis pyrifera (giant kelp). Table 1 describes seven loci from blades collected from 62 sites from Alaska, USA, to Baja California, Mexico, and Table 2 blades collected at 38 sites (subpopulations) in central California (Monterey Bay). Each row is the multilocus genotype for a single specimen (individual). These data were described in Johansson ML, Alberto F, Reed DC, Raimondi PT, Coelho NC, Young MA, Drake PT, Edwards CA, Cavanaugh K, Assis J, Ladah LB, Bell TW, Coyer JA, Siegel DA, Serrão EA (2015) Seascape drivers of Macrocystis pyrifera population genetic structure in the northeast Pacific. Molecular Ecology. 24, 4866–4885.
DOI: 10.6073/pasta/924588b2c74fba57c24984c4c0048060
title: SBC LTER: Reef: Microsatellite markers for the giant kelp, Macrocystis pyrifera

description: These data were published as a technical note: Alberto, F., A. C. Whitmer, N. C. Coelho, M. Zippay, E. Varela-Alvarez, P. T. Raimondi, D. C. Reed and E. A. Serrão. 2009. Microsatellite markers for the giant kelp Macroystis pyrifera. Conservation Genetics. 10:1915-1917 doi: 10.1007/s10592-009-9853-9 Abstract: We report the isolation and characterization of 16 microsatellite loci to study the population genetics of the giant kelp, Macrocystis pyrifera. Markers were obtained by screening a genomic library enriched for microsatellite motifs. Of the 37 primer pairs defined, 16 amplified clean polymorphic microsatellites and are described. These loci identified a number of alleles ranging from three to forty (mean= 16.5, and gene diversity ranging from 0.469 to 0.930 (mean= 0.774). The isolation and characterization of these highly polymorphic markers will greatly benefit much needed studies on the molecular ecology of this important macroalga. These data report the isolation and characterization of 16 microsatellite loci to study the population genetics of the giant kelp, Macrocystis pyrifera. 180 samples of blade tissue were collected at Carpinteria Reef, Santa Barbara Channel, CA (USA) in July 2006. Sequence data are available from GenBank. These data were published as a Technical Note in the journal Conservation Genetics in 2009.
DOI: 10.4231/r7j964mq
title: Fragments of Lamps and other Artefacts from the Rough Cilicia Survey Pottery Study Collection

description: This dataset is contains images and descriptions of lamps and other artefacts from the Rough Cilicia Survey Pottery Study Collection, a collection of more than 300 useful diagnostic sherds of the most commonly observed forms of the region.
DOI: 10.6084/m9.figshare.21307953
title: Quantifying Uncertainties in CERES/MODIS Downwelling Radiation Fluxes in the Global Tropical Oceans2

description: Here we provide QL and QS data from CMv3 and CMv4 (satellite data) and observations from GTMBA in the global tropical oceans used in the present study. The data formats are NetCDF and Excel. Except for figure 19 and supplementary figure 6, units of data are W/sq.m. Units of data for figure 19 and supplementary figure 6 are degree C and mts, respectively.
DOI: 10.6084/m9.figshare.21307953.v1
title: Quantifying Uncertainties in CERES/MODIS Downwelling Radiation Fluxes in the Global Tropical Oceans2

description: Here we provide QL and QS data from CMv3 and CMv4 (satellite data) and observations from GTMBA in the global tropical oceans used in the present study. The data formats are NetCDF and Excel. Except for figure 19 and supplementary figure 6, units of data are W/sq.m. Units of data for figure 19 and supplementary figure 6 are degree C and mts, respectively.
DOI: 10.6073/pasta/baf679d70673dddccb60714d76a0db0e
title: Jesusita Fire Perimeter (Santa Barbara County, CA), May 10, 2009 - From Geospatial Multi-Agency Coordination Group (GeoMAC)

description: The Jesusita Fire burned from 2008-05-05 to 2008-05-18, Northwest of Mission Canyon and Santa Barbara City, Santa Barbara County. Approximately 8733 acres were burned (information per http://cdfdata.fire.ca.gov). This dataset contains a KML polygon showing the extent of the fire on 2008-05-10, and was acquired by request from the Geospatial Multi-Agency Coordination Group (GeoMAC, http://www.geomac.gov). These data are based upon input from incident intelligence sources, Global Positioning System (GPS) data, and infrared (IR) imagery. See methods for more information.
DOI: 10.6073/pasta/e82a082f4440d469c84e11a265266004
title: SBC LTER: Reef: Feeding relationships for kelp forest species

description: These data are an assembled food web for all species sampled in the SBC LTER annual kelp forest community surveys. Relationships are taken from literature review on diets and consumption habits of target species, plus searches of theses, grey literature, and student report databases at major west coast libraries. Only feeding observations from studies that showed direct consumption or provided strong evidence of a direct feeding relationship between two taxa were used. Our final food web was revised and verified after consultation with several experts in the field of kelp forest community ecology. See Methods section for complete information on cited literature and contributing experts. These data represent Table S1 for Appendix S1 for a published paper: Byrnes, J. E., D. C. Reed, B. J. Cardinale, K. C. Cavanaugh, S. J. Holbrook and R. J. Schmitt. 2011. Climate-driven increases in storm frequency simplify kelp forest food webs. Global Change Biology, 17: 2513â24. doi: 10.1111/j.1365-2486.2011.02409.x.
DOI: 10.6073/pasta/f0de14c131e19ddfe01b2ac10357437d
title: Data to accompany "Exploring the Complexity of Ocean Acidification: An Ecosystem Comparison of Coastal pH Variability"

description: The goal of this project was to create a science lesson at the middle school level with data illustrating the variablilty of pH and temperature in nature. The lesson allows students to interpret pH data and gain knowledge of abiotic and biotic processes that contribute to pH differences between tropical, temperate and polar marine ecosystems. Students use what they have learned to interpret data from a 'mystery' site and develop a hypothesis as to which ecosystem the unknown data was collected from. The full cirriculum is described in Kapsenberg, L, AL Kelley, LA Francis, and SB Raskin (2015) Exploring the complexity of ocean acidification: an ecosystem comparison of coastal pH variability. Science Scope 39(3): 51-60. doi: 10.2505/4/ss15_039_03_51 This dataset contains an Excel workbook with five worksheets: A "Readme" tab with citations for additional reading and data attribution.Three time-series of pH and temperature from coastal locations: a temperate kelp forest in the Santa Barbara Channel (Spring season, 2 months, 20 min interval). a coral reef near the island of Moorea, Tahiti (Summer season, 3 weeks, 30 min interval), and the polar ocean of Cape Evans, McMurdo Bay, Antarctica (Spring/Summer, 6 months, bi-hourly interval). A fourth worksheet contains data for a "mystery site" for student examination. Data for the study were contributed by the Santa Barbara Coastal LTER, Moorea Coral Reef LTER and the G. Hofmann lab (University of California, Santa Barbara). Additional pH data are available from both LTER sites. Antarctic data in this dataset are also available from NSF's Biological and Chemical Oceanographic Data Management Office (see Cape Evans Mooring, 2012).
DOI: 10.6073/pasta/57a27ea43a6f678bc4881aaa7cadce87
title: SBC LTER: Nutrient concentrations and algae cover in the Ventura River catchment, California, 2008

description: Results from these data were reported in: Klose, K., Cooper, S. D., Leydecker, A. D. and Kreitler, J. 2012. Relationships among catchment land use and concentrations of nutrients, algae, and dissolved oxygen in a southern California river. Freshwater Science, 2012, 31(3):908-927 doi: 10.1899/11-155.1 Data not reported here: Chlorophyll-a, physicochemical and land use parameters (e.g., land-use type, water depth, substratum size, % open canopy, and water velocity) were used in the paper's analysis and so were also collected, but are not reported here. Nutrient diffusing substrata (NDS) were deployed at 12 sites to assess the nutrient(s) limiting algal growth; these data are also not reported here. Macroalgal cover and stream nutrients are reported during spring and summer 2008 at 15 stream and estuarine sites in the Ventura River catchment in southern California, USA. Data were collected within a mosaic of undeveloped, agricultural, and urban areas to examine relationships among land use, nutrients, algae, and dissolved oxygen (see paper, linked below). This dataset reports major dissolved nutrients (phosphate, nitrate, ammonium) and total dissolved nitrogen and phosphorus, from May to September 2008, and percent cover of macroalgae (benthic and floating) at the same sites at the beginning and end of this period.
DOI: 10.23641/asha.21266487
title: Predicting the outcomes of ICBT with ANN and SVM (Rodrigo et al., 2022)

description: <strong>Purpose:</strong> Internet-based cognitive behavioral therapy (ICBT) has been found to be effective for tinnitus management, although there is limited understanding about who will benefit the most from ICBT. Traditional statistical models have largely failed to identify the nonlinear associations and hence find strong predictors of success with ICBT. This study aimed at examining the use of an artificial neural network (ANN) and support vector machine (SVM) to identify variables associated with treatment success in ICBT for tinnitus. <strong>Method:</strong> The study involved a secondary analysis of data from 228 individuals who had completed ICBT in previous intervention studies. A 13-point reduction in Tinnitus Functional Index (TFI) was defined as a successful outcome. There were 33 predictor variables, including demographic, tinnitus, hearing-related and treatment-related variables, and clinical factors (anxiety, depression, insomnia, hyperacusis, hearing disability, cognitive function, and life satisfaction). Predictive models using ANN and SVM were developed and evaluated for classification accuracy. SHapley Additive exPlanations (SHAP) analysis was used to identify the relative predictor variable importance using the best predictive model for a successful treatment outcome. <strong>Results:</strong> The best predictive model was achieved with the ANN with an average area under the receiver operating characteristic value of 0.73 ± 0.03. The SHAP analysis revealed that having a higher education level and a greater baseline tinnitus severity were the most critical factors that influence treatment outcome positively. <strong>Conclusions:</strong> Predictive models such as ANN and SVM help predict ICBT treatment outcomes and identify predictors of outcome. However, further work is needed to examine predictors that were not considered in this study as well as to improve the predictive power of these models. <strong>Supplemental Material S1.</strong> Characteristics of the study 740 participants and summary statistics for successful and unsuccessful treatment groups. Quantitative variables have been analyzed using a two-sample <em>t </em>test, while categorical data have been analyzed with chi-square or Fisher’s exact (denoted by an asterisk [*]). A threshold of .05 has been used. <strong>Supplemental Material S2.</strong> Demographic variables (7 variables). <strong>Supplemental Material S3. </strong>Tinnitus and hearing-related variables (15 variables). <strong>Supplemental Material S4.</strong> Treatment-related variables (4 variables). <strong>Supplemental Material S5.</strong> Clinical factors (7 variables). Rodrigo, H., Beukes, E. W., Andersson, G., & Manchaiah, V. (2022). Predicting the outcomes of internet-based cognitive behavioral therapy for tinnitus: Applications of artificial neural network and support vector machine. <em>American Journal of Audiology</em>. Advance online publication. https://doi.org/10.1044/2022_AJA-21-00270
DOI: 10.23641/asha.21266487.v1
title: Predicting the outcomes of ICBT with ANN and SVM (Rodrigo et al., 2022)

description: <strong>Purpose:</strong> Internet-based cognitive behavioral therapy (ICBT) has been found to be effective for tinnitus management, although there is limited understanding about who will benefit the most from ICBT. Traditional statistical models have largely failed to identify the nonlinear associations and hence find strong predictors of success with ICBT. This study aimed at examining the use of an artificial neural network (ANN) and support vector machine (SVM) to identify variables associated with treatment success in ICBT for tinnitus. <strong>Method:</strong> The study involved a secondary analysis of data from 228 individuals who had completed ICBT in previous intervention studies. A 13-point reduction in Tinnitus Functional Index (TFI) was defined as a successful outcome. There were 33 predictor variables, including demographic, tinnitus, hearing-related and treatment-related variables, and clinical factors (anxiety, depression, insomnia, hyperacusis, hearing disability, cognitive function, and life satisfaction). Predictive models using ANN and SVM were developed and evaluated for classification accuracy. SHapley Additive exPlanations (SHAP) analysis was used to identify the relative predictor variable importance using the best predictive model for a successful treatment outcome. <strong>Results:</strong> The best predictive model was achieved with the ANN with an average area under the receiver operating characteristic value of 0.73 ± 0.03. The SHAP analysis revealed that having a higher education level and a greater baseline tinnitus severity were the most critical factors that influence treatment outcome positively. <strong>Conclusions:</strong> Predictive models such as ANN and SVM help predict ICBT treatment outcomes and identify predictors of outcome. However, further work is needed to examine predictors that were not considered in this study as well as to improve the predictive power of these models. <strong>Supplemental Material S1.</strong> Characteristics of the study 740 participants and summary statistics for successful and unsuccessful treatment groups. Quantitative variables have been analyzed using a two-sample <em>t </em>test, while categorical data have been analyzed with chi-square or Fisher’s exact (denoted by an asterisk [*]). A threshold of .05 has been used. <strong>Supplemental Material S2.</strong> Demographic variables (7 variables). <strong>Supplemental Material S3. </strong>Tinnitus and hearing-related variables (15 variables). <strong>Supplemental Material S4.</strong> Treatment-related variables (4 variables). <strong>Supplemental Material S5.</strong> Clinical factors (7 variables). Rodrigo, H., Beukes, E. W., Andersson, G., & Manchaiah, V. (2022). Predicting the outcomes of internet-based cognitive behavioral therapy for tinnitus: Applications of artificial neural network and support vector machine. <em>American Journal of Audiology</em>. Advance online publication. https://doi.org/10.1044/2022_AJA-21-00270
DOI: 10.6073/pasta/7fc9ef97a90a4487220c9b276106f0d5
title: SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER01, 2001-03-20 to 2001-03-26

description: The data described here were collected on LTER01 which took place from 2001-03-20 to 2001-03-26 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER01, additional domoic acid samples were collected we saw some weird scum. On this cruise, additional stations and are identified as WS-#
DOI: 10.6073/pasta/a3cdfcf55958212967aa8db3920a118a
title: SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER02,2001-09-07 to 2001-09-15

description: The data described here were collected on LTER02 which took place from 2001-09-07 to 2001-09-15 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER02, additional CTD samples were collected to cross-calibrate between CTD and scanfish. On this cruise, additional stations and are identified as calibcast
DOI: 10.6073/pasta/c057b48e4ee420012289e0f7524c01e4
title: SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER03, 2002-02-18 to 2002-02-27

description: The data described here were collected on LTER03 which took place from 2002-02-18 to 2002-02-27 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER03, additional CTD samples were collected to over-sample the grid line.. On this cruise, additional stations and are identified as Stations 34 to 39