cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26008/1912/bco-dmo.892425.1
title: Oyster survival differences in mesocosm experiments at the Dauphin Island Sea Lab, AL between July and August 2019

description: This dataset contains survivorship differences between oysters set in a mesocosm experiment to determine how induced defenses, habitat structure, and the presence of apex predators shape intermediate consumers feeding behavior and basal prey survival. Oysters (a basal prey) induced to grow stronger shells were planted with control oysters both inside sheltered locations and in exposed locations along with predatory mud crabs (an intermediate consumer). This setup either had a blue crab or no apex predator added to the system whereupon individual oyster survival was checked every 24 hours for three days.   Predators often produce nonconsumptive effects (NCEs) in their prey in the form of behavioral or morphological changes. Such changes often have larger or equal consequences for population dynamics as the predator directly consumes individual prey. However, it is not well understood how predators feeding across multiple trophic levels cause cascading NCEs that interact across prey trophic levels or how the prey survival benefits from these interactions change across contexts. These data help demonstrate how NCEs can influence population dynamics across space and quantify the strength of these context-dependent interactions. 

Data were collected by Drs. Benjamin Belgrad, Lee Smee, and Marc Weissburg from the Dauphin Island Sea Lab and Georgia Institute of Technology.
DOI: 10.26008/1912/bco-dmo.892464.1
title: Oyster survival differences in high-quality reefs from Skidaway Island, GA from July to October 2019

description: This dataset contains the survivorship of oysters planted in high-quality reefs to determine how induced defenses and habitat structural complexity influence basal prey survival. Oysters (a basal prey) induced to grow stronger shells were planted with control oysters along transects spanning the center of the reefs to outside the reefs. Oysters were left in the field for two days before individual oyster survival was assessed.  Predators often produce nonconsumptive effects (NCEs) in their prey in the form of behavioral or morphological changes. Such changes often have larger or equal consequences for population dynamics as the predator directly consumes individual prey. However, it is not well understood how predators feeding across multiple trophic levels cause cascading NCEs that interact across prey trophic levels or how the prey survival benefits from these interactions change across contexts. These data help demonstrate how NCEs can influence population dynamics across space and quantify the strength of these context-dependent interactions. 

Data were collected by Drs. Benjamin Belgrad, Lee Smee, and Marc Weissburg from the Dauphin Island Sea Lab and Georgia Institute of Technology.
DOI: 10.26008/1912/bco-dmo.892475.1
title: Oyster survival difference experiments in low quality reefs in Mobile Bay, AL in September 2019

description: This dataset contains survivorship of oysters planted in low quality reefs to determine how induced defenses and habitat structural complexity influence basal prey survival. Oysters (a basal prey) induced to grow stronger shells were planted with control oysters along transects spanning the center of the reefs to outside the reefs. Oysters were left in the field for two days before individual oyster survival was assessed.  Predators often produce nonconsumptive effects (NCEs) in their prey in the form of behavioral or morphological changes. Such changes often have larger or equal consequences for population dynamics as the predator directly consumes individual prey. However, it is not well understood how predators feeding across multiple trophic levels cause cascading NCEs that interact across prey trophic levels or how the prey survival benefits from these interactions change across contexts. These data help demonstrate how NCEs can influence population dynamics across space and quantify the strength of these context-dependent interactions. 

Data were collected by Drs. Benjamin Belgrad, Lee Smee, and Marc Weissburg from the Dauphin Island Sea Lab and Georgia Institute of Technology.
DOI: 10.26008/1912/bco-dmo.892096.1
title: Morphological Characteristics of Oysters from Predator Experiments at the Dauphin Island Sea Lab, AL, May-July 2019

description: These data include oyster morphological characteristics after oysters were settled onto shells and either exposed to predator cues (caged blue crabs) or controls of no cues. Oysters were nursed in a flow-through seawater system at the Dauphin Island Sea Lab for two months starting in late May 2019. Afterward, subsets of oysters were assessed for shell strength, size, and dry weight using a Kistler force sensor and drying oven.

Predators often produce nonconsumptive effects (NCEs) in their prey in the form of behavioral or morphological changes. Such changes often have larger or equal consequences for population dynamics as the predator directly consumes individual prey. However, it is not well understood how predators feeding across multiple trophic levels cause cascading NCEs that interact across prey trophic levels or how the prey survival benefits from these interactions change across contexts. These data help demonstrate how NCEs can influence population dynamics across space and quantify the strength of these context-dependent interactions. 

Data were collected by Drs. Benjamin Belgrad, Lee Smee, and Marc Weissburg from the Dauphin Island Sea Lab and Georgia Institute of Technology.
DOI: 10.26008/1912/bco-dmo.892206.1
title: Morphological Characteristics of Oysters from Predator Experiments at the Dauphin Island Sea Lab, AL from July to October 2020

description: These data include oyster morphological characteristics after oysters were settled onto tiles and either exposed to predator cues (caged blue crabs) or controls of no cues. Oysters were nursed in a flow-through seawater system at the Dauphin Island Sea Lab for one month starting in late July 2020. Afterwards, subsets of oysters were assessed for shell strength and size using a Kistler force sensor and drying oven.  Predators often produce nonconsumptive effects (NCEs) in their prey in the form of behavioral or morphological changes. Such changes often have larger or equal consequences for population dynamics as the predator directly consumes individual prey. However, it is not well understood how predators feeding across multiple trophic levels cause cascading NCEs that interact across prey trophic levels or how the prey survival benefits from these interactions change across contexts. These data help demonstrate how NCEs can influence population dynamics across space and quantify the strength of these context-dependent interactions. 

Data were collected by Drs. Benjamin Belgrad, Lee Smee, and Marc Weissburg from the Dauphin Island Sea Lab and Georgia Institute of Technology.
DOI: 10.26008/1912/bco-dmo.891835.1
title: Settlement rates of fishes and crab megalopa within Artificial Seagrass Units (ASU) in Back Sound, NC from June to August 2018

description: To parse the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, we employed artificial seagrass unit (ASU) landscapes at a scale relevant to habitat fidelity of common fish and macroinvertebrates in our temperate study system, Back Sound, NC. These ASU landscapes were designed along orthogonal axes of artificial seagrass area (i.e., percent cover of each landscape = 10-60 percent) and fragmentation per se (i.e., percolation probability; 0.1-0.59) to delineate their independent and interactive effects on seagrass fish and macroinvertebrate communities.

To assess whether faunal density patterns across landscapes were driven by larval settlement, larval fishes and crab megalopa were sampled seven times from June to August 2018 using Standardized Monitoring Units for the Recruitment of Fishes (SMURFs). To examine how settlement rates across landscapes differed depending upon the amount of immediately surrounding artificial seagrass, each SMURF was positioned at the 'center' of the largest ASU patch (as estimated for each irregular shape) in each landscape.

SMURF samples were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill’s Institute of Marine Sciences. SMURF samples were processed by Lauren A. Yeager at the Marine Science Institute, of the University of Texas at Austin.
DOI: 10.26008/1912/bco-dmo.891859.1
title: Epibenthic faunal densities sampled from within Artificial Seagrass Units (ASU) in Back Sound, NC from June to October 2018

description: To parse the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, we employed artificial seagrass unit (ASU) landscapes at a scale relevant to habitat fidelity of common fish and macroinvertebrates in our temperate study system, Back Sound, NC. These ASU landscapes were designed along orthogonal axes of artificial seagrass area (i.e., percent cover of each landscape = 10-60 percent) and fragmentation per se (i.e., percolation probability; 0.1-0.59) to delineate their independent and interactive effects on seagrass fish and macroinvertebrate communities.

To examine potential differences among faunal responses to habitat configuration within structured habitat (i.e., artificial seagrass) versus matrix habitat (i.e., sand/mudflat) within the borders of the landscape footprint, fish densities (catch per unit effort; CPUE) were sampled with baited minnow traps at three locations within each landscape from June to October 2018. Faunal densities were sampled within the largest ASU patch of each landscape (“largest patch”) and at two locations within the matrix: 1-meter away from the largest patch (&quot;near-patch&quot;) and bisecting the largest interpatch distance (&quot;interpatch&quot;). Interpatch samples were not taken in landscapes with 0.59 percolation probability, as they only had one patch.

Minnow trap samples were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill’s Institute of Marine Sciences.
DOI: 10.26008/1912/bco-dmo.891779.1
title: Fish densities sampled by Dual Frequency Identification Sonar (DIDSON) within Artificial Seagrass Units (ASU) in Back Sound, NC from June to October 2018

description: To parse the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, we employed artificial seagrass unit (ASU) landscapes at a scale relevant to habitat fidelity of common fish and macroinvertebrates in our temperate study system, Back Sound, NC. These ASU landscapes were designed along orthogonal axes of artificial seagrass area (i.e., percent cover of each landscape = 10-60 percent) and fragmentation per se (i.e., percolation probability; 0.1-0.59) to delineate their independent and interactive effects on seagrass fish communities.

To examine potential differences among faunal responses to habitat configuration within structured habitat (i.e., artificial seagrass) versus matrix habitat (i.e., sand/mudflat) within the borders of the landscape footprint, fish densities (catch per unit effort; CPUE) were sampled by Dual Frequency Identification Sonar (DIDSON) at three locations within each landscape from June to October 2018. Fish densities were sampled within the largest ASU patch of each landscape (“largest patch”) and at two locations within the matrix: 1-m away from the largest patch (&quot;near-patch&quot;) and bisecting the largest interpatch distance (&quot;interpatch&quot;). Interpatch samples were not taken in landscapes with 0.59 percolation probability, as they only had one patch.

DIDSON samples were collected by Drs. F. Joel Fodrie, James W. Morley, and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill’s Institute of Marine Sciences.
DOI: 10.26008/1912/bco-dmo.891794.1
title: Squidpop consumption probability within Artificial Seagrass Units (ASU) in Back Sound, NC from October to November 2018

description: To parse the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, we employed artificial seagrass unit (ASU) landscapes at a scale relevant to habitat fidelity of common fish and macroinvertebrates in our temperate study system, Back Sound, NC. These ASU landscapes were designed along orthogonal axes of artificial seagrass area (i.e., percent cover of each landscape = 10-60 percent) and fragmentation per se (i.e., percolation probability; 0.1-0.59) to delineate their independent and interactive effects on seagrass fish and macroinvertebrate communities.

To measure generalist consumption probabilities across landscapes, we conducted two squidpop consumption assays on 19-Oct and 1-Nov 2018. Consumption assays were conducted after landscapes were disturbed by Hurricane Florence, but prior to the seasonal egress of nekton from local seagrass meadows. On each assay date, up to 10 squidpops were deployed within ASUs in each landscape, 1 meter apart and less than 0.5 meters from the ASU-matrix interface (the edge of ASU patches), to control for potentially different consumption probabilities between seagrass patch edges and interiors. Squidpop presence/absence was checked after 1 hours, 2 hours, and 3 hours to retrospectively assess the timeframe in which overall consumption probabilities allowed for resolution of differences in consumption among sites (i.e., between one- and two-thirds of all bait consumed). All absent squidpops were presumed eaten based on previous efforts that have demonstrated negligible spurious bait loss.

Consumption assays were conducted by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill’s Institute of Marine Sciences.
DOI: 10.26008/1912/bco-dmo.891652.1
title: Landscape fine-scale complexity of seagrass, fish and macroinvertebrate communities within Artificial Seagrass Units (ASU) in Back Sound, NC from July to September 2018

description: To parse the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, we employed artificial seagrass unit (ASU) landscapes at a scale relevant to habitat fidelity of common fish and macroinvertebrates (days to weeks) in this temperate study system. We designed and deployed 25 unique, 234-meter squared (m2) landscapes, composed of a total of 2059 1-meter squared ASUs. These landscapes were designed along orthogonal axes of artificial seagrass area (i.e., percent cover of each landscape = 10-60 percent) and fragmentation per se (i.e., percolation probability; 0.1-0.59) to delineate their independent and interactive effects on seagrass fish and macroinvertebrate communities.

We were also interested in the relative importance of landscape parameters versus fine-scale complexity metrics (i.e., artificial seagrass canopy height, epiphyte biomass) in influencing faunal density patterns within structured seagrass. Therefore, in July and September 2018, fine-scale habitat complexity metrics, including ASU canopy height and epiphyte biomass, were sampled along a transect from the edge to the center of the largest patch in each landscape.

Fine-scale complexity samples were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill’s Institute of Marine Sciences.
DOI: 10.26008/1912/bco-dmo.891670.1
title: Landscape parameters of seagrass, fish and macroinvertebrate communities within Artificial Seagrass Units (ASU) in Back Sound, NC from July to September 2018

description: To parse the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, we employed artificial seagrass unit (ASU) landscapes at a scale relevant to habitat fidelity of common fish and macroinvertebrates (days to weeks) in this temperate study system. 

We designed and deployed 25 unique, 234-square meter landscapes, composed of a total of 2059 1-meter squared ASUs. These landscapes were designed along orthogonal axes of artificial seagrass area (i.e., percent cover of each landscape = 10-60 percent) and fragmentation per se (i.e., percolation probability; 0.1-0.59) to delineate their independent and interactive effects on seagrass fish and macroinvertebrate communities. We also opportunistically examined how initial landscape configurations were altered by a stochastic event (i.e., Hurricane Florence), which affected our landscapes in an analogous fashion to natural seagrass (i.e., uprooting ASUs/rhizomes and burying ASUs/plants under sediments).

Landscape parameters and designs were determined by Dr. Lauren A. Yeager at the Marine Science Institute, of the University of Texas at Austin. Landscape construction was led by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill’s Institute of Marine Sciences.
DOI: 10.26008/1912/bco-dmo.891686.1
title: Fish measurements sampled by Dual Frequency Identification Sonar (DIDSON) within Artificial Seagrass Units (ASU) in Back Sound, NC from July to September 2018

description: To parse the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, we employed artificial seagrass unit (ASU) landscapes at a scale relevant to habitat fidelity of common fish and macroinvertebrates in our temperate study system, Back Sound, NC. These ASU landscapes were designed along orthogonal axes of artificial seagrass area (i.e., percent cover of each landscape = 10-60 percent) and fragmentation per se (i.e., percolation probability; 0.1-0.59) to delineate their independent and interactive effects on seagrass fish communities.

To examine potential differences among faunal responses to habitat configuration within structured habitat (i.e., artificial seagrass) versus matrix habitat (i.e., sand/mudflat) within the borders of the landscape footprint, fish densities (catch per unit effort; CPUE) were sampled by Dual Frequency Identification Sonar (DIDSON) at three locations within each landscape from June to October, 2018. Fish densities were sampled within the largest ASU patch of each landscape (“largest patch”) and at two locations within the matrix: 1-meter away from the largest patch (&quot;near-patch&quot;) and bisecting the largest interpatch distance (&quot;interpatch&quot;). Interpatch samples were not taken in landscapes with 0.59 percolation probability, as they only had one patch.

DIDSON samples were collected by Drs. F. Joel Fodrie, James W. Morley, and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill’s Institute of Marine Sciences.
DOI: 10.26008/1912/bco-dmo.886227.1
title: Biogeochemical data from sediment cores collected from a shallow, sandy subterranean estuary (STE) in Virginia USA from 2018 to 2019

description: These data were collected during 2018-2019 from a sandy subterranean estuary (STE) located in Gloucester Point, Virginia, USA. Seasonal vibracores collected sediment from 0-100 centimeters (cm). Ten-centimeter core sections were used in isotope tracer incubations with 15N-labeled substrates to measure potential denitrification and anaerobic ammonium oxidation (anammox) rates. Extractable nutrient concentrations in potassium chloride extracts were also analyzed for each core section.
DOI: 10.26008/1912/bco-dmo.886319.1
title: Groundwater well water level data collected from porewater profiles within a shallow, sandy subterranean estuary (STE) in Gloucester Point, Virginia USA, from 2018 to 2020

description: These water level data were collected during 2018-2020 from a sandy subterranean estuary (STE) located in Gloucester Point, Virginia, USA using HOBO pressure transducers deployed in groundwater wells. The pressure transducers measured pressure and water temperature every 15 minutes when sampling and were deployed seasonally.
DOI: 10.26008/1912/bco-dmo.719712.2
title: Hydrolysis rates from bulk water sample incubations from R/V Endeavor cruise EN556 in 2015

description: This dataset includes polysaccharide hydrolysis rates to measure microbial enzyme activities and bacterial productivity.
DOI: 10.26008/1912/bco-dmo.818934.1
title: Geochemical measurements of CTD and Alvin Niskin samples collected in the Gulf of California on RV/Atlantis AT42-05 Alvin dives, Nov. 2018

description: Water column geochemical measurements of CTD and Alvin Niskin samples collected in the Gulf of California on RV/Atlantis cruise AT42-05 and Alvin dives 4991-5000 in Guaymas Basin, Gulf of California (27 00.00 N, -111 20.00 W) in November 2018.
DOI: 10.26008/1912/bco-dmo.892237.1
title: Towed ADCP data from Isla Natividad collected in July of 2018

description: Towed ADCP data from Isla Natividad collected in July of 2018.  These results were published in Valle-Levinson et al. (2022).
DOI: 10.26008/1912/bco-dmo.805612.1
title: Environmental observations and infected host and dinospore counts in Salt Pond, Falmouth, Massachusetts, USA from 2018 through 2019

description: Salt Pond is a shallow, seasonally stratified coastal salt pond located in Falmouth, Massachusetts, USA and it is proximal to the labs at Woods Hole Oceanographic Institution (WHOI). This estuarine system is tidally influenced by Vineyard Sound and receives inputs of freshwater primarily from groundwater. Seasonal abiotic factors and nutrient availability in the seasonally stratified water column influence the growth and abundance of diverse microbial taxa within this system, providing an ideal setting to study syndinian parasites and host diversity temporally and across oxygen gradients. Salt Pond has anoxic waters that come within 2-3 meters of the water surface in summer and bottom waters that become increasingly sulfidic due to bacterial sulfate reduction as seasonal stratification intensifies.
DOI: 10.26008/1912/bco-dmo.875301.1
title: OysterFutures simulation model code, input files, and model description

description: This dataset contains the OysterFutures simulation model code, input files, and model description. This model was collaboratively developed with OysterFutures stakeholders to simulate outcomes of potential management and restoration options for oysters in the Choptank River complex in Maryland, U.S.A.
DOI: 10.26008/1912/bco-dmo.887562.1
title: DOC uptake rates by coccolithophores and scintillation counts from field experiments in the North Atlantic during R/V Endeavor cruise EN616 in July 2018

description: Field experiments were performed in the NW Atlantic during R/V Endeavor cruise EN616 in July 2018 to determine the potential uptake of dissolved organic carbon (DOC) by coccolithophores to compare with the bicarbonate uptake associated with standard photosynthesis and calcification. Waters from the continental shelf and slope, plus Sargasso Sea were sampled.  Natural phytoplankton populations were incubated with radiolabeled dissolved organic carbon compounds (14C-acetate, 14C-mannitol, and 14C-glycerol) as well as 14C-bicarbonate for comparison. At the end of 24-hour incubations, phytoplankton were either bulk filtered onto polycarbonate membrane filters or coccolithophores were concentrated, then sorted, using a flow cytometer, after which sorted cells were washed onto polycarbonate membrane filters and rinsed accordingly. Post-cruise, repeated scintillation counts of each sample were performed using a high sensitivity scintillation counter. The repeated counts were designed to improve the statistical resolution of the low-level radioactivity measurements. Post-cruise, ambient concentrations of acetate, mannitol, and glycerol also were measured and cellular-DOC uptake rates were calculated.