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14 results for “biogeochemical processes”
Fertilization (NPK) alter dryland biogeochemical processes
Nutrient augmentation is one major global change disturbance that could have cascading effects on local plant and microbial communities thus altering biogeochemical properties (Peñuelas et al. 2012). While many studies have investigated fertilization effects on community change and ecosystem processes, less work has been done in dryland ecosystems (Schimel 2010), where nutrient availability often comes as pulses correlated with rain events (Collins et al. 2008). We leveraged an ongoing fertilization experiment (NutNet) at the Sevilleta to answer the question: How does fertilization alter dryland biogeochemical processes, and how does this effect change seasonally? To explore this topic, we specifically measure three important soil hydrolase enzymes, N-acetyl- glycosaminidase (NAG), phosphatase (AP), and β- glucosidase (BG), microbial biomass, and soil nitrogen levels at 5 points along a seasonal gradient within the NutNet plots.
Insight into the impact of viruses on biogeochemical processes in agricultural soils
Open the record for dataset details and reuse information.
Insight into the impact of viruses on biogeochemical processes in agricultural soils
Open the record for dataset details and reuse information.
Impact of viruses on microbial communities and biogeochemical processes in agricultural soils
<p>The source data of microcosm experiment.</p>
Climate model (CM2.6) and regional model (ACM) processed output used to investigate the physical drivers and biogeochemical effects of the weakening of the northwest North Atlantic Shelfbreak Jet (Garcia-Suarez & Fennel., 2024; JAMES)
<p>Key processed output from the climate model GFDL CM2.6 and the regional Atlantic Canada model (ACM) used to investigate the physical drivers and the biogeochemical effects of the weakening of the shelfbreak jet in the northwest North Atlantic Ocean. The dataset includes all model variables required to reproduce the key results in <em>Garcia-Suarez & Fennel (2024, JAMES)</em>. See <em>GarciaSuarezandFennel_JAMES_CM26_ACM_data_README_v2.txt</em> for more details.</p>
Using stable isotopes to link biogeochemical processes to biodiversity of conservation concern
<b>Description: </b><p>This data was collected at the SAFE experimental area, and two primary forest sites within the greater SAFE landscape: the Danum Valley conservation area (DVCA; N4.962°, E117.689°) and Maliau Basin conservation area (MBCA; N4.853°, E116.844°), located 36 Km north and 69 Km west of the SAFE project, respectively. DVCA is a 438 Km2 lowland dipterocarp forest reserve close to the Segama River at 210 m elevation. In comparison, MBCA is a 588 Km2 lowland and hill dipterocarp forest reserve, close to the Maliau River and reaching 1, 675 m at the highest point. Both are afforded the highest status as Class I Protected Forest Reserves by the Sabah state government, owing to the value of the areas for conservation and education. <br>In 2015 we sampled all six SAFE sites. In 2016 we did not resample one of the repeatedly logged-forest sites ('F') for logistical reasons, but extended sampling to include primary forest sites Maliau and Danum. In each year, we performed ten nights of trapping using six four-bank harp traps set along existing trails at each site (total: 60 harp trap nights per site). We checked traps late at night and early the next morning (20.30 and 08.30), and moved them each day by at least 20m. For logistical reasons, site F was only sampled using 30 harp trap nights in 2015, and site LFE was sampled three times in 2015 due to low capture rates.<br>Upon capture, we identified each bat to species and, for adult individuals, a wing membrane biopsy was taken using a 3mm punch (Schuco, Walford, UK) for stable isotope analyses and placed in separate tubes for same day processing. Heavily pregnant, highly stressed or recently recaptured bats were not sampled.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/11"><b>Using stable isotopes to link biogeochemical processes to biodiversity of conservation concern</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Research grant, NE/K016148/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2 (374) )</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2 JLD.4 (41))</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM.1000-2/2 JLD.5 (153))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=5113429">here</a></p><p><b>Files: </b>This consists of 1 file: 1_Kemp_bat_iso_data.xlsx</p><p><b>1_Kemp_bat_iso_data.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>Carbon and nitrogen natural abundance stable isotope data of insects</b> (described in worksheet Insect_isotope)</p><p>Description: A single year dataset of carbon and nitrogen stable isotope values on volant insects across a gradient of logging disturbance in Sabah, Malaysian Borneo. The data was collected between May – July 2017. </p><p>Number of fields: 15</p><p>Number of data rows: 173</p><p>Fields: </p><ul><li><b>Order</b>: Taxonomic order (Field type: id)</li><li><b>Family</b>: Taxonomic family (Field type: id)</li><li><b>Taxa</b>: Highest taxonomic classification (Field type: taxa)</li><li><b>Location</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Site</b>: Sample site (Field type: id)</li><li><b>Plot</b>: Vegetation plot (2 sampled within each site) (Field type: id)</li><li><b>Bottle</b>: Either "top" or "bottom" bottle of the Malaise trap (Field type: categorical)</li><li><b>Feeding_Guild</b>: Feeding Guild (PHY = phytophagous; DET = detritivorous, and PRED = predatory) (Field type: categorical trait)</li><li><b>Weight</b>: Sample weight (Field type: numeric trait)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak (uA), i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight (Field type: numeric trait)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric trait)</li><li><b>X15N</b>: The delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric trait)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric trait)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric trait)</li><li><b>X13C</b>: The delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric trait)</li></ul></li><li><p><b>Georeferenced bat capture data from three field seasons, 2015-2017 in Sabah, Malaysian Borneo</b> (described in worksheet Bat_data)</p><p>Description: This dataset provides capture data from the SAFE experimental area as well as Danum Valley and Maliau Basin. The dataset covers three field campaigns spanning from 2015 – 2017. The dataset includes species annotation, capture date and time; capture location (latitude and longitude); sex, age; forearm and weight measurement, and reproductive condition. There is also an identifier to match captured individuals with isotope values.</p><p>Number of fields: 19</p><p>Number of data rows: 2490</p><p>Fields: </p><ul><li><b>Bat_no</b>: Unique identifier for each individual bat captured (Field type: id)</li><li><b>Day</b>: The day that individual was captured (Field type: id)</li><li><b>Month</b>: The month that individual was captured (Field type: id)</li><li><b>Year</b>: The year that individual was captured (Field type: id)</li><li><b>Date</b>: Date individual was captured (Field type: date)</li><li><b>TrapName</b>: Unique identifier for each trap which was erected (trap position within sites were not consistent between years, largely due to changes in the trails and vegetation structure) (Field type: location)</li><li><b>Lat</b>: Latitude of the trap in which the bat was captured (Field type: latitude)</li><li><b>Long</b>: Longitude of the trap in which the bat was captured (Field type: longitude)</li><li><b>Site</b>: The site at which the capture was made (Field type: id)</li><li><b>Family</b>: Family classification (Field type: categorical trait)</li><li><b>Species</b>: Species classification (Field type: taxa)</li><li><b>Sex</b>: The sex of each capture (M= Male; F = Female) (Field type: categorical trait)</li><li><b>Age</b>: The age of each capture (A = Adult; J = Juvenile ()) (Field type: categorical trait)</li><li><b>Forearm</b>: Forearm measurement (Field type: numeric trait)</li><li><b>Weight</b>: Weight of bat (Field type: numeric trait)</li><li><b>Reproductive_condition</b>: Reproductive condition of the individual (M= Male; NR = Non reproductive, i.e. not yet born young; L = Lactating, i.e. milk visible below the teet; P = Pregnant; PL = Post-lactating, i.e. not currently pregnant or lactating, but evidence of having born young from distended nipples. (Field type: categorical trait)</li><li><b>Time</b>: Whether the individual was captured PM (traps checked for fly-ins between dusk and ~ 19:30) or AM (traps checked for fly-ins between time of evening check and ~ 08:30) (Field type: categorical trait)</li><li><b>Guild</b>: Echolocation guilds with calls classified as HDC = High-duty-cycle or LDC = Low-duty-cycle (Field type: categorical trait)</li><li><b>Biopsy</b>: Unique identifier to associate the captured individual with the isotope data derived from the wing membrane biopsy. If no biopsy was taken there is a reason given: "RECAPTURE" – recapture as denoted by a fresh biopsy hole; "ESCAPED" – escaped the trap before handling; "BLEEDING" – with any sign of bleeding we avoided handling; "STRESSED" – due to ants in the trap, larger bats in the trap etc.; "NOT HEALED" – biopsy wound not healed from the previous visits ~4 weeks prior; "DEAD" – dead from stress; ants, or extreme weather; "PREGNANT" – heavily pregnant, therefore we avoided handling; "WITH YOUNG" – adult female with young attached; "NO BIOPSY PEN" – no sterile biopsy pens available in the field; "LOST" – biopsy lost after having been taken ; "RELEASED" – due to some kind of stress; "NOT TAKEN" - could be any of the above or another reason. (Field type: id)</li></ul></li><li><p><b>Carbon and nitrogen natural abundance stable isotope data of bat wing tissue, sampled across three field seasons, 2015-2017 in Sabah, Malaysian Borneo.</b> (described in worksheet Bat_isotope)</p><p>Description: This dataset provides carbon and nitrogen stable isotope values of bat wing tissue (3mm punch) from individuals sampled across a gradient of logging disturbance in Sabah, Malaysian Borneo. The data was collected over three discrete field seasons, February – May 2015, March - July 2016 and May – July 2017</p><p>Number of fields: 10</p><p>Number of data rows: 3145</p><p>Fields: </p><ul><li><b>N</b>: Number to show the order in which the samples were run (currently the sheet is ordered in distinct runs (32 in total across the 3 years) (Field type: id)</li><li><b>Name</b>: Unique identifier to associate the isotope data with the captured individuals (matched to "Biopsy" column in "BatData.csv"). (Field type: id)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>N_weight</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>X15N</b>: The delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.1</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric)</li><li><b>C_weight</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>X13C</b>: The delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li><li><b>Year</b>: Year of sampling (Field type: id)</li></ul></li><li><p><b>Carbon and nitrogen natural abundance stable isotope data of basal resources (living leaves, leaf litter, soil, algae and dead wood), sampled across three field seasons, 2015-2017 in Sabah, Malaysian Borneo.</b> (described in worksheet Basal_resource_data)</p><p>Description: This dataset provides carbon and nitrogen stable isotope values of key basal resources representing the primary and detrital resource bases. The data was collected over three discrete field seasons, February – May 2015, March - July 2016 and May – July 2017.</p><p>Number of fields: 14</p><p>Number of data rows: 647</p><p>Fields: </p><ul><li><b>Source</b>: The type of biological material (Field type: id)</li><li><b>Name</b>: Identifier for each samples, of the format. PlotID_ReplicateNo (Field type: id)</li><li><b>Site</b>: Sample site (Field type: id)</li><li><b>Plot</b>: Vegetation plot (2 sampled within each site) (Field type: id)</li><li><b>Location</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Round</b>: In some years some sites were visited twice (at least 1 month between visits) (Field type: replicate)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>X15N</b>: The delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight. (Field type: numeric)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>X13C</b>: The delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li><li><b>Year</b>: Year in which the sample was collected (Field type: id)</li></ul></li></ol><p><b>Date range: </b>2015-02-16 to 2017-07-21</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Chiroptera <br> -  -  -  -  -  Hipposideridae <br> -  -  -  -  -  -  <i>Hipposideros</i> <br> -  -  -  -  -  -  -  <i>Hipposideros ater</i> <br> -  -  -  -  -  -  -  <i>Hipposideros bicolor</i> <br> -  -  -  -  -  -  -  <i>Hipposideros cervinus</i> <br> -  -  -  -  -  -  -  <i>Hipposideros diadema</i> <br> -  -  -  -  -  -  -  <i>Hipposideros dyacorum</i> <br> -  -  -  -  -  -  -  <i>Hipposideros ridleyi</i> <br> -  -  -  -  -  Nycteridae <br> -  -  -  -  -  -  <i>Nycteris</i> <br> -  -  -  -  -  -  -  <i>Nycteris tragata</i> <br> -  -  -  -  -  Emballonuridae <br> -  -  -  -  -  -  <i>Emballonura</i> <br> -  -  -  -  -  -  -  <i>Emballonura alecto</i> <br> -  -  -  -  -  -  -  <i>Emballonura monticola</i> <br> -  -  -  -  -  Vespertilionidae <br> -  -  -  -  -  -  <i>Kerivoula</i> <br> -  -  -  -  -  -  -  <i>Kerivoula hardwickii</i> <br> -  -  -  -  -  -  -  <i>Kerivoula intermedia</i> <br> -  -  -  -  -  -  -  <i>Kerivoula lenis</i> <br> -  -  -  -  -  -  -  <i>Kerivoula minuta</i> <br> -  -  -  -  -  -  -  <i>Kerivoula papillosa</i> <br> -  -  -  -  -  -  -  <i>Kerivoula pellucida</i> <br> -  -  -  -  -  -  -  <i>Kerivoula whiteheadi</i> <br> -  -  -  -  -  -  <i>Murina</i> <br> -  -  -  -  -  -  -  <i>Murina aenea</i> <br> -  -  -  -  -  -  -  <i>Murina cyclotis</i> <br> -  -  -  -  -  -  -  <i>Murina peninsularis</i> <br> -  -  -  -  -  -  -  <i>Murina rozendaali</i> <br> -  -  -  -  -  -  -  <i>Murina suilla</i> <br> -  -  -  -  -  -  <i>Myotis</i> <br> -  -  -  -  -  -  -  <i>Myotis muricola</i> <br> -  -  -  -  -  -  -  <i>Myotis ridleyi</i> <br> -  -  -  -  -  -  <i>Pipistrellus</i> <br> -  -  -  -  -  -  -  <i>Pipistrellus javanicus</i> <br> -  -  -  -  -  -  -  <i>Pipistrellus tenuis</i> <br> -  -  -  -  -  -  <i>Pipistrellus</i> <br> -  -  -  -  -  -  -  <i>Pipistrellus javanicus</i> <br> -  -  -  -  -  -  -  <i>Pipistrellus tenuis</i> <br> -  -  -  -  -  -  <i>Philetor</i> <br> -  -  -  -  -  -  -  <i>Philetor brachypterus</i> <br> -  -  -  -  -  -  <i>Scotophilus</i> <br> -  -  -  -  -  -  -  <i>Scotophilus kuhlii</i> <br> -  -  -  -  -  -  <i>Harpiocephalus</i> <br> -  -  -  -  -  -  -  <i>Harpiocephalus harpia</i> <br> -  -  -  -  -  -  <i>Phoniscus</i> <br> -  -  -  -  -  -  -  <i>Phoniscus atrox</i> <br> -  -  -  -  -  -  <i>Hesperoptenus</i> <br> -  -  -  -  -  -  -  <i>Hesperoptenus blanfordi</i> <br> -  -  -  -  -  Pteropodidae <br> -  -  -  -  -  -  <i>Balionycteris</i> <br> -  -  -  -  -  -  -  <i>Balionycteris maculata</i> <br> -  -  -  -  -  Megadermatidae <br> -  -  -  -  -  -  <i>Megaderma</i> <br> -  -  -  -  -  -  -  <i>Megaderma spasma</i> <br> -  -  -  -  -  Rhinolophidae <br> -  -  -  -  -  -  <i>Rhinolophus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus acuminatus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus affinis</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus borneensis</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus creaghi</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus sedulus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus trifoliatus</i> <br> -  -  Arthropoda <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Blattodea <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Psocodea <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Trichoptera <br> -  -  -  -  Diptera <br> -  -  -  -  -  Mycetophilidae <br> -  -  -  -  -  Empididae <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Blattodea <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Psocodea <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Trichoptera <br> -  -  -  -  Diptera <br> -  -  -  -  -  Mycetophilidae <br> -  -  -  -  -  Empididae <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Blattodea <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Psocodea <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Trichoptera <br> -  -  -  -  Diptera <br> -  -  -  -  -  Mycetophilidae <br> -  -  -  -  -  Empididae <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  Arachnida <br> -  -  -  -  Araneae <br></div><p></p>
Soil Carbon and Nitrogen analysis:Effects of white pine invasion of old fields on biogeochemical processes
Woody plants are invading many grassland regions of the central US. At Cedar Creek, white pine (/Pinus strobus/) is successfully invading many old fields. This project aims to determine the influence of white pine invasion on biogeochemical processes.
Litter decomposition:Effects of white pine invasion of old fields on biogeochemical processes
Woody plants are invading many grassland regions of the central US. At Cedar Creek, white pine (/Pinus strobus/) is successfully invading many old fields. This project aims to determine the influence of white pine invasion on biogeochemical processes.
Soil cation analysis:Effects of white pine invasion of old fields on biogeochemical processes
Woody plants are invading many grassland regions of the central US. At Cedar Creek, white pine (/Pinus strobus/) is successfully invading many old fields. This project aims to determine the influence of white pine invasion on biogeochemical processes.
Insight into the impact of viruses on biogeochemical processes in agricultural soils
Open the record for dataset details and reuse information.
Data from: Not so old Archaea - the antiquity of biogeochemical processes in the archaeal domain of life
Open the record for dataset details and reuse information.
PnET-BGC: Modeling Biogeochemical Processes in a Northern Hardwood Forest Ecosystem
This archived model product contains the directions, executables, and procedures for running PnET-BGC to recreate the results of Gbondo-Tugbawa, S.S., C.T. Driscoll , J.D. Aber and G.E. Likens. 2001. The evaluation of an integrated biogeochemical model (PnET-BGC) at a northern hardwood forest ecosystem. Water Resources Research 37:1057-1070. Gbondo-Tugbawa et al,. 2001 Excerptfrom Abstract: An integrated biogeochemical model (PnET-BGC) was formulated to simulate chemical transformations of vegetation, soil, and drainage water in northern forest ecosystems. The model operates on a monthly time step and depicts the major biogeochemical processes, such as forest canopy element transformations, hydrology, soil organic matter dynamics, nitrogen cycling, geochemical weathering, and chemical equilibrium reactions involving solid and solution phases. The model was evaluated against soil and stream data at the Hubbard Brook Experimental Forest, New Hampshire. Model predictions of concentrations and fluxes of major elements generally agreed reasonably well with measured values, as estimated by normalized mean error and normalized mean absolute error. Model output of soil base saturation and stream acid neutralizing capacity were sensitive to parameter values of soil partial pressure of carbon dioxide, soil mass, soil cation exchange capacity, and soil selectivity coefficients of calcium and aluminum. PnET-BGC can be used as a tool to evaluate the response of soil and water chemistry of forest ecosystems to disturbances such as clear-cutting, climatic events, and atmospheric deposition.PnET-BGC, was used to investigate inputs and dynamics of S in a northern hardwood forest at the Hubbard Brook Experimental Forest (HBEF) (Gbondo-Tugbawa et al., 2002). The changes in soil S pools and stream-water were simulated to assess the response 22 SO4 to both atmospheric S deposition and forest clear-cutting disturbances. Watershed studies across the northeastern United States have shown that stream losses of exceed atmospheric sulfur (S) deposition. Understanding the processes responsible for this additional source of S is critical to quantifying ecosystem response to ongoing and potential future controls on SO2 emission.
Statistical analysis for biogeochemical processes in a sandy column with dynamic hydrologic regimes using spectral induced polarization (SIP) and self-potential (SP)
<p>Dataset for the manuscript: Non-invasive monitoring of nitrogen transformation processes at a dynamic capillary fringe using spectral induced polarization (SIP) and self-potential (SP).</p>
Impacts of estuarine processes on delivery of Arctic riverine materials to the near coastal environment: Implications for water quality and biogeochemical cycling in preparation for Arctic-COLORS
This research project seeks to jumpstart Arctic-COLORS while filling major gaps in our knowledge about the transformation of riverine water quality constituents from the ABoVE domain through estuaries to the near coastal environment. The project conducted field sampling in the Yukon River, delta and plume waters for three transects in spring, early and late summer, and acquisition of additional transect samples during similar flow regimes through our collaborators on the north slope of Alaska and Mackenzie River. Field measurements included a number of water quality parameters relevant to Arctic biogeochemical function and NASA products, including dissolved organic matter (DOM), particulate organic matter (POM), suspended particulate matter (SPM), chlorophyll-a, radiometry, in situ inherent optical properties, discrete dissolved and particle absorption, fluorescent DOM (FDOM), lignin phenols, HPLC pigments, bioavailability of dissolved organic carbon (DOC). Combined, our field sampling, algorithm development, hindcasting, and synthesis efforts will provide a foundation for a successful Arctic-COLORS campaign while providing critical new knowledge of transformations in estuarine systems.
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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
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.