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Population dynamics of small mammals in the Jura massif, Franche-Comté, France (1979-2000)
<p>Small mammal populations were monitored seasonally from August 1979 to July 2000 according to a stratified sampling plan and using standard trapping, mostly in the area of Septfontaines – Le Souillot, Doubs, France (6.18°E, 46.97°N). The dataset includes 2120 trap lines (90% n = 1912 in the Septfontaines – Le Souillot (LS) area), and 22848 captures (92% n = 20937 in the LS area).</p> <p><strong>Methods</strong></p> <p>Small mammals were captured using INRA trap lines. INRA live traps (15 × 5 × 5 cm) are suitable for species of body mass less than 50 g. In a standard way generally applied here,each trap line consisted of 34 live traps spaced 3 meters apart. Trap lines were set up for three nights and checked every morning. Animals were euthanized by cervical dislocation, weighed and dissected for sex, reproductive status and age determination. Liver was examined macroscopically for parasites. Relative age was estimated based on the dry weight of crystalline eye lenses.</p> <p><em>Caveats:</em> in a very little number of cases (beginning of the study and circumstantial occasions) trap lines were not standard (150 m length, 51 traps, or set up for one or two nights only, etc.). See <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a> and fields "remarques" (table <a href="http://zenodo.org/record/6997317/files/traplines.txt?download=1">traplines.txt</a>) and 'observation' (table <a href="http://zenodo.org/record/6997317/files/captures.txt?download=1">captures.txt</a>). Sometimes field not informed have been coded "", 99 or NA. Although we did our best to harmonize this in the files uploaded, some inconsistencies might remain. Those issues should be considered carefully before data analysis.</p> <p>Trapping and animal handling was carried out in full accordance with the relevant European guidelines (Directive 86/609/EEC) and national regulations. INRA (<em>Institut National de la Recherche Agronomique</em>), the umbrella organization under which the field work was carried out, created its first ethical committee in 1998. It was therefore impossible to get formal ethical approval prior to the major part of the study. A similar research protocol used from 2014 to 2017 received full approval from the <em>Comité d’Éthique Bisontin en Expérimentation Animale</em> (CEBEA No. 58).</p> <p><strong>FILE DESCRIPTION</strong></p> <p>Files <a href="https://zenodo.org/record/6997317/files/traplines.txt?download=1">traplines.txt</a>, <a href="https://zenodo.org/record/6997317/files/Ccaptures.txt?download=1">captures.txt</a> and <a href="https://zenodo.org/record/6997317/files/rates.txt?download=1">rates.txt</a> are tables of a relational database. They can be linked using the index field 'codeligne' between <a href="https://zenodo.org/record/6997317/files/traplines.txt?download=1">traplines.txt</a> and <a href="https://zenodo.org/record/6997317/files/captures.txt?download=1">captures.txt</a>, and 'codeind' between <a href="https://zenodo.org/record/6997317/files/captures.txt?download=1">captures.txt</a> and <a href="https://zenodo.org/record/6997317/files/rates.txt?download=1">rates.txt</a>.</p> <p><strong>Main files</strong></p> <p><a href="https://zenodo.org/record/6997317/files/captures.txt?download=1">captures.txt</a></p> <ul> <li>codeligne, trapline ID</li> <li>numind, specimen ID for the trap line</li> <li>numcontr, control number (traps were controlled every morning; for 3 successive nights for standard trap lines). E.g. 1 for a specimen captured on the 1st control.</li> <li>numpiege, trap ID in the trap line (1,2,....n). E.g. 34 is the 34th trap in the trap line counted from the beginning.</li> <li>espece, species (see <a href="http://zenodo.org/record/6997317/files/Codes_Sp_Parasites.docx?download=1">Codes_Sp_Parasites.docx</a> for the codes)</li> <li>poids, wet weight in g</li> <li>sexe, sex (1 male, 2 female)</li> <li>cristallin, dry weight of the two crystalline lens, in 1/10 of mg</li> <li>uterus, uterus diameter</li> <li>foetusd, number of foetuses in the uterus right horn</li> <li>foetusg, number of foetuses in the uterus left horn</li> <li>cicplacd, number of placental scares in the uterus right horn</li> <li>cicplacg, number of placental scares in the uterus left horn</li> <li>corpsjd, number of <em>corpus luteum</em> in the right ovary</li> <li>corpsjg, number of <em>corpus luteum</em> in the left ovary</li> <li>allaitante, milking (1 yes, 0 no)</li> <li>corpsblancd, number of <em>corpus albicans</em> in the right ovary</li> <li>corpsblancg, number of <em>corpus albicans</em> in the left ovary</li> <li>testd, length of the right testicle</li> <li>testg, length of the left testicle</li> <li>vesd, length of the right seminal vesicle</li> <li>vesg, length of the left seminal vesicle</li> <li>diammax, parasite mass great diameter</li> <li>diammin, parasite mass small diameter</li> <li>nombrekyste, parasite cyst number</li> <li>nomlu, parasite species as identified in the field</li> <li>nomanaly, parasite species as identified in the lab</li> <li>observation, remark</li> <li>codeind, specimen ID (codeligne+numind)</li> </ul> <p><a href="https://zenodo.org/record/6997317/files/rates.txt?download=1">rates.txt </a></p> <ul> <li>codeind, specimen ID</li> <li>ratepds, spleen weight (1/100 g)</li> <li>remarque, remark</li> </ul> <p><a href="https://zenodo.org/record/6997317/files/traplines.txt?download=1">traplines.txt</a></p> <ul> <li>codeligne, 8 digits trap line ID. LS891001 = location LS, 89 year, 10 month, 01, trap line ID for this place, year and month. See <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a> for more details.</li> <li>dept, administrative department (INSEE code)</li> <li>date, date at which the trapline has been set up</li> <li>descripteur1, habitat description, <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>descripteur2, habitat description, see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>facies, habitat description, see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>remarque, remark,</li> <li>lati, latitude of the northwest corner of the sampling grid (CRS NTF (Paris) / Lambert zone II, EPSG: 27572), see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>longi, longitude of the northwest corner of the sampling grid (CRS NTF (Paris) / Lambert zone II, EPSG: 27572), see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>precis, precision, the number of Lambert II squares (1km x 1km) composing the square side of the grid, see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> </ul> <p><strong>Supplementary files</strong></p> <p><a href="https://zenodo.org/record/6997317/files/bboxlarge.kml?download=1">bboxlarge.kml</a>, the bounding box including all the area with trap lines that could be geographically located. It takes the precision of the location into account (hence, includes the southeastern extremes of the grid squares (see Codes_Trapline.docx).</p> <p><a href="https://zenodo.org/record/6997317/files/bboxLS.kml?download=1">bboxLS.kml</a>, the bounding box of the study area "LS" (Le Souillot) including all the trap lines that could be geographically located. It takes the precision of the location into account (hence, includes the southeastern extremes of the grid squares, see <a href="https://zenodo.org/record/6997317/files/Codes_trapline.docx?download=1">Codes_Trapline.docx</a>). Those trap lines are the core (90% of the total number of the traplines set) of the research carried out in the area.</p> <p><a href="https://zenodo.org/record/6997317/files/lineloc.kml?download=1">lineloc.kml</a>, the geographical coordinates of the northwestern corner of the square including each trap line with trapline ID and precision (1, square of 1 x 1 km; 2, square of 2 x 2 km, etc.).</p> <p><a href="https://zenodo.org/record/6997317/files/Code_Sp_Parasites.docx?download=1">Codes_Sp_Parasites.docx</a>, codes of small mammal species and parasite names.</p> <p><a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a>, codes of trap lines.</p>
Long-term (1935-2019) tree population data from remeasurements of a large network of permanent study plots in old-growth forest, Dukes Research Natural Area, Marquette Co., MI, USA
The Dukes Research Natural Area (Hiawatha National Forest, Marquette Co., MI) amounts to ca. 100 ha of minimally disturbed original forests, including a mix of mesic 'hemlock-northern hardwood' types and peaty wetlands dominated by several species of swamp conifers and black ash (Fraxinus nigra). The RNA hosts a regular grid of 250 0.2-acre (~0.08 ha) permanent monitoring (CFI) plots. This package includes tree censuses for subsets of CFI plots conducted in 1935, 1948, and 1974-1980, and repeated censuses with mapped stems from 1989 to 2019. This 84-year record constitutes one of the longest repeated-measurement, permanent-plot data-sets for old-growth temperate forest.
Population persistence, phenotypic divergence and metabolic adaptation in yarrow (Achillea millefolium L.) along a climate gradient, CA, 1920 to 2023
This dataset provides insights into the persistence and adaptation of yarrow (Achillea millefolium L.) populations over a 100-year period of climate change. The data include plant height measurements and climatic variables (temperature and precipitation) from historical and resurveyed sites spanning a broad environmental gradient (1–3,200 m a.s.l.), alongside metabolic profiles obtained from a common-garden experiment. The dataset captures phenotypic changes in plant growth, metabolic diversity, and site-specific climatic shifts between 1920 and 2020. These data support analyses of how temperature and precipitation interact to shape plant responses over time and allow for exploring patterns of local adaptation in phenotypic and metabolic traits. This comprehensive dataset is valuable for understanding the ecological and evolutionary mechanisms underlying population persistence and can inform conservation strategies under future climate scenarios.
State Water Project, Genetic Determination of Population of Origin 2011-2024
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is often difficult to distinguish individuals from the different Evolutionarily Significant Units. As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to race; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program monitoring programs. The population-of-origin was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central Valley salmonid monitoring
Central Valley Project, Genetic Determination of Population of Origin 2011-2024
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is often difficult to distinguish individuals from the different Evolutionarily Significant Units. As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to race; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program monitoring programs. The population-of-origin was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central Valley salmonid monitoring
Sacramento trawl – Genetic Determination of Population of Origin 2017-2023
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is often difficult to distinguish individuals from the different Evolutionarily Significant Units. As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to race; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program monitoring programs. The population-of-origin was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central Valley salmonid monitoring
Chipps Island trawl – Genetic Determination of Population of Origin 2017-2023
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is often difficult to distinguish individuals from the different Evolutionarily Significant Units. As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to race; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program monitoring programs. The population-of-origin was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central Valley salmonid monitoring
Genetic assignments for Spring Evolutionary Significant Unit reanalysis, Central Valley Chinook Salmon populations, CA, 2011-2024
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is difficult to visually distinguish individuals from the different Evolutionarily Significant Units (ESU). As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to genetic lineage; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program compliance monitoring programs. The genetic lineage was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central V
[DEPRECATED] MCR LTER: Coral Reef: Long-term Population Dynamics of Acanthaster planci, ongoing since 2005 (Reformatted to ecocomDP Design Pattern)
This ecocomDP formatted dataset is deprecated due to the fact that the focus of the original L0 dataset is population ecology, not community ecology. This data package is formatted according to the "ecocomDP", a data package design pattern for ecological community surveys, and data from studies of composition and biodiversity. For more information on the ecocomDP project see https://github.com/EDIorg/ecocomDP/tree/master, or contact EDI https://environmentaldatainitiative.org. This Level 1 data package was derived from the Level 0 data package found here: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-mcr&identifier=1039&revision=9 The abstract below was extracted from the Level 0 data package and is included for context: These data describe the abundance of Acanthaster planci, Crown of Thorns Sea stars, surveyed as part of MCR LTER's annual reef fish monitoring program. This study began in 2005 and the dataset is updated annually. The abundances of A. planci observed on a five by fifty meter transect are recorded by a diver using SCUBA. Surveys are conducted between 0900 and 1600 hours (Moorea time) during late July or early August each year. Four replicate transects are surveyed in each of three habitats (forereef, backreef and fringing reef) at six locations, two on each of Moorea's three sides, on the forereef, six locations on the backreef (two on each of Moorea's three sides for a total of 72 individual transects. Transects are permanently marked using a series of small, stainless steel posts affixed to the reef. Transects on the forereef are located at a depth of approximately 12m, those on the backreef are located at a depth of approximately 1.5m and those on the fringing reef are located at a depth of approximately 10m. This monitoring program is consistent with the protocols adopted by the Global Coral Reef Monitoring Network and the Australian Institute of Marine Science for use with the Great Barrier Reef Long-term Monitoring Program. Thes
MCR LTER: Coral Reef: Long-term Population and Community Dynamics: Fishes, ongoing since 2005 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/125/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-mcr/6/58. The abstract below was extracted from the Level 0 data package and is included for context: These data describe the species abundance and size distributions of fishes surveyed as part of MCR LTER's annual reef fish monitoring program. This study began in 2005 and the dataset is updated annually. The abundances of all mobile taxa of fishes (Scarids, Labrids, Acanthurids, Serranids, etc.) observed on a five by fifty meter transect which extends from the bottom to the surface of the water column are recorded by a diver using SCUBA. The diver then swims back along a one by fifty meter section of the original transect line and records the abundances of all non-mobile or cryptic taxa of fishes (Pomacentids, Gobiids, Cirrhitids, Holocentrids etc). Surveys are conducted between 0900 and 1600 hours (Moorea time) during late July or early August each year. In 2006, divers also began to estimate the size (length) of each fish observed to the nearest half cm. Four replicate transects are surveyed in each of six locations on the forereef (two on each of Moorea's three sides), six locations on the backreef (two on each of Moorea's three sides) and on six locations on the fringing reef (two on each of Moorea's three sides) for a total of 72 individual transects. Transects are permanently marked using a series of small, stainless steel posts affixed to the reef. Transects on the forereef are located at a depth of approximately 12m, those on the backreef are located at a depth of approximately 1.5m and those on the fringing reef are located at a depth of approximately 10m.
MCR LTER: Coral Reef: Long-term Population and Community Dynamics: Corals, ongoing since 2005 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/277/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-mcr/4/38. The abstract below was extracted from the Level 0 data package and is included for context: This dataset contains the percentage cover of the stony corals (Scleractinia) and other major groups analyzed from 0.5 x 0.5 m photographic quadrats in several reef habitats at the Moorea Coral Reef LTER, French Polynesia. This survey has been repeated annually in April since 2005. There are two tables available, providing different views of the same data: a long table having all values in one column and a wide table having a separate column for each dependent variable. Functional groups (i.e., dependent variables) counted are: Scleractinian Corals (by genus where appropriate, see methods), Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals, Hydrocorals (Millepora), Algal Turf and Sand. The coral community was sampled photographically in all habitats surrounding the island: Fringing Reef, Lagoon (Backreef), and Outer Reef (Forereef.) The sampling regime consists of a repeated-measures protocol in each habitat, and is structured by habitat to allow a statistical contrast of sites, shores, times, and in the case of the outer reef, depths. Detailed methods are available in the protocols section. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie
MCR LTER: Coral Reef: Long-term Population and Community Dynamics: Benthic Algae and Other Community Components, ongoing since 2005 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/279/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-mcr/8/32. The abstract below was extracted from the Level 0 data package and is included for context: Coral reefs are comprised of scleractinian corals and many other benthic organims. The sampling described here quantifies the relative abundances of corals (aggregate abundance) and the other major benthic components including algal turfs, macroalgae, crustose corallines, and other sessile invertebrates. Abundance is estimated yearly at each of 6 sites (2 per shore) around the island. At each site, and in each of 4 habitats (fringing reef, backreef, forereef 10-m depth, forereef 17-m depth), 5 permanent 10-m long transects have been established and abundance estimates are made at fixed positions along each transect (n=10, 0.25 m2 quadrats per transect) allowing a repeated measures statistical analysis for the detection of temporal trends. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2020). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
Mollusc population size distribution monitoring: Fall 2013 mid-marsh and creekbank infaunal and epifaunal mollusc size distributions based on collections from GCE marsh monitoring sites 1-10
This data set is the Fall 2013 report of infaunal and epifaunal mollusk species size distributions at the GCE-LTER marsh sites used for population monitoring. Infaunal and epifaunal molluscs were hand-collected from within quadrats of known area from mid-marsh and creekbank zones (n = 4 quadrats per zone) at all sites. The molluscs were returned to the lab, preserved in ethanol, measured and counted (count data is reported separately). Length of each measurable individual was determined using calipers or an ocular micrometer mounted in a stereomicroscope. Species abundance and density data for these collections may be found in the GCE-LTER data set INV-GCEM-1407. Numbers of individuals of each species in the abundance data file may not correspond exactly to the numbers of individuals in the size data file because some individuals may not have been measureable.
Mollusc population abundance monitoring: Fall 2014 mid-marsh and creekbank infaunal and epifaunal mollusc abundance based on collections from GCE marsh, monitoring sites 1-10
This data set is the Fall 2014 estimate of infaunal and epifaunal mollusc abundance at the GCE-LTER marsh sites used for population monitoring. Species abundance was determined by hand-collecting all the infaunal and epifaunal molluscs from within quadrats of known area in mid-marsh and creekbank zones (n = 4 quadrats per zone) at all sites. The molluscs were returned to the lab, fixed in ethanol, transferred to and preserved in ethanol, counted and measured (size data is reported separately). The counts were converted to number per square meter. Gastropod species are listed first, followed by bivalve species. Size distribution data for these collections may be found in the GCE-LTER data set INV-GCEM-1507a.
Mollusc population size distribution monitoring: Fall 2014 mid-marsh and creekbank infaunal and epifaunal mollusc size distributions based on collections from GCE marsh monitoring sites 1-10
This data set is the Fall 2014 report of infaunal and epifaunal mollusc species size distributions at the GCE-LTER marsh sites used for population monitoring. Infaunal and epifaunal molluscs were hand-collected from within quadrats of known area from mid-marsh and creekbank zones (n = 4 quadrats per zone) at all sites. The molluscs were returned to the lab, preserved in ethanol, measured and counted (count data is reported separately). Length of each measurable individual was determined using calipers or an ocular micrometer mounted in a stereomicroscope. Species abundance and density data for these collections may be found in the GCE-LTER data set INV-GCEM-1507. Numbers of individuals of each species in the abundance data file may not correspond exactly to the numbers of individuals in the size data file because some individuals may not have been measureable.
Fall 2015 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2015 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. Note that this census method does not differentiate which species made a particular hole and therefore only estimates total burrowing crab abundance, potentially including species Uca pugnax, Uca minax, Uca pugilator, Armases cinereum, Eurytium limosum and Sesarma reticulatum. Crab holes that are not actively maintained are quickly covered by tidal activity and other sediment disturbances, therefore plugged holes were assumed to be unoccupied and excluded from the counts.
Coupling between Sediment and Water Column Populations of Ammonia Oxidizing Thaumarchaeota in the Duplin River near Sapelo Island, Georgia
Populations of nitrifying organisms in the water column at Marsh Landing display a midsummer peak in the abundance of ammonia oxidizing Archaea (AOA) at the site, coinciding with a peak in nitrite concentration. Marsh Landing is at the mouth of the Duplin River, a dead-end tidal channel that drains an extensive area of salt marsh. While the lower Duplin River at Marsh Landing exchanges tidally with Doboy Sound and thus South Atlantic Bight (SAB) coastal waters, water in its upper reaches has a residence time of weeks. The work reported here had two goals: 1) test the hypothesis that the surrounding salt marsh is the source of nitrifiers seen in water samples taken at Marsh Landing; and 2) compare the seasonal dynamics of nitrifiers in surficial sediments with those in the water column. We sampled 6 stations along the ~20 km length of the Duplin River. We collected surface water samples (~0.20 m) at low- to mid-tide, monthly from April-December 2014. Sediment samples (top 1 cm) were collected at the same time from unvegetated creek bank at 2 locations on the Duplin River and from 4 locations spanning the creek bank-to-upland gradient of the saltmarsh accessible from the Teal Boardwalk. The abundance of ammonia oxidizing Archaea, Marine Group 1 Archaea (Thaumarchaeota), ammonia oxidizing Betaproteobacteria (AOB), Bacteria and Nitrospina, a nitrite oxidizing bacterium, were determined by quantitative PCR (qPCR) of DNA extracted from the samples. This data set contains the abundance estimates from April to December 2014 for sediment and water column samples, with corresponding water quality measurements (temperature, salinity and nitrogenous nutrient concentrations).
Mollusc population abundance monitoring: Fall 2015 mid-marsh and creekbank infaunal and epifaunal mollusc abundance based on collections from GCE marsh, monitoring sites 1-10
This data set is the Fall 2015 estimate of infaunal and epifaunal mollusc abundance at the GCE-LTER marsh sites used for population monitoring. Species abundance was determined by hand-collecting all the infaunal and epifaunal molluscs from within quadrats of known area in mid-marsh and creekbank zones (n = 4 quadrats per zone) at all sites. The molluscs were returned to the lab, fixed in ethanol, transferred to and preserved in ethanol, counted and measured (size data is reported separately). The counts were converted to number per square meter. Gastropod species are listed first, followed by bivalve species. Size distribution data for these collections may be found in the GCE-LTER data set INV-GCEM-1607a.
Mollusc population size distribution monitoring: Fall 2015 mid-marsh and creekbank infaunal and epifaunal mollusc size distributions based on collections from GCE marsh monitoring sites 1-10
This data set is the Fall 2015 report of infaunal and epifaunal mollusc species size distributions at the GCE-LTER marsh sites used for population monitoring. Infaunal and epifaunal molluscs were hand-collected from within quadrats of known area from mid-marsh and creekbank zones (n = 4 quadrats per zone) at all sites. The molluscs were returned to the lab, preserved in ethanol, measured and counted (count data is reported separately). Length of each measurable individual was determined using calipers or an ocular micrometer mounted in a stereomicroscope. Species abundance and density data for these collections may be found in the GCE-LTER data set INV-GCEM-1607. Numbers of individuals of each species in the abundance data file may not correspond exactly to the numbers of individuals in the size data file because some individuals may not have been measureable.
Fall 2016 crab population monitoring: mid-marsh and creek bank abundance based on crab hole counts at GCE marsh, monitoring sites 1-10
This data set is the Fall 2016 estimate of crab densities at the GCE-LTER marsh sites used for population monitoring. Crab abundance was determined by counting the number of crab holes within a 625 cm^2 quadrat and converting the counts to number per square meter. Counts were made in the mid-marsh and creek bank zones (n = 4 per zone) at GCE sites 1 through 10. Note that this census method does not differentiate which species made a particular hole and therefore only estimates total burrowing crab abundance, potentially including species Uca pugnax, Uca minax, Uca pugilator, Armases cinereum, Eurytium limosum and Sesarma reticulatum. Crab holes that are not actively maintained are quickly covered by tidal activity and other sediment disturbances, therefore plugged holes were assumed to be unoccupied and excluded from the counts.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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