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Fig. 6 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders

Fig. 6. Examples of Jollyville Plateau Salamander (Eurycea tonkawae) cover objects that are effectively sampled using the salamander sieve and Hubbard rakes. (A) Submerged leaf litter and exposed roots, (B) submerged woody debris, (C) middle of springrun, noting aquatic vegetation with weak roots, as well as the springrun edges which are shallow with emergent vegetation, and (D) deep, aquatic vegetation with durable roots and stems. Photos by Zach Adcock.

Fig. 5 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders

Fig. 5. Hubbard rake demonstration. (A) Cover objects are scooped into the rake receptacle and (B–C) carefully searched for fauna to reveal a salamander. Red arrow identifies a Jollyville Plateau Salamander (Eurycea tonkawae) trapped in the rake. Photos by Zach Adcock.

Fig. 3 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders

Fig. 3. (A) Top, (B) side, and (C) back of a Hubbard rake showing receptacle backend with drain holes and holes for window screen attachment using zip ties. Scale: 30 cm. Photos by Michelle Adcock.

Fig. 2 in Modification of a Water Hyacinth sieve and description of Hubbard rakes for sampling small aquatic salamanders

Fig. 2. Salamander sieve demonstration. (A) Cover objects are scooped into the sieve using a dustpan and (B) carefully searched for fauna to (C–D) reveal a salamander. Red arrows identify a Jollyville Plateau Salamander (Eurycea tonkawae) trapped in the sieve. Photos by Madison Torres (A) and Zach Adcock (B–D).

opencc-by-4.0Sep 2024View details →

Characteristics of water samples collected by UNIPER

The water samples collected by UNIPER during five rounds from 2021 to 2023, were characterized at the UPB laboratory for various physico-chemical parameters, microplastic detection, and nanoparticle profiling. The filtrates (liquid) resulting from cascade filtration were used to assess chloride content (g/L), salinity, electrical conductivity (EC) (mS/cm), pH, and total dissolved solids (TDS) (g/L). Microplastics retained on the metallic sieves were detected and measured by optical microscopy for their concentration, shape, and size. The size refers to the measured length of the detected microplastics during the first four sampling rounds (July 2021–December 2022), while the categorization by size classes (20 µm, 32 µm, 90 µm, and 125 µm) was carried out for those collected in July 2023. Additionally, nanoparticles in the filtrates (with particles less than 1000 µm) were evaluated using Nanoparticle Tracking Analysis (NTA) to determine nanoparticle concentration (particles/mL), mean size, and the percentage of particles under specific sizes (D10, D50, D90).

opencc-zeroJan 2024View details →

Linked collectors and determiners for: Freshwater samples in MZNA-INV-FRW: Macroinvertebrate samples from the water quality monitoring network along the Ebro Basin.

Natural history specimen data linked to collectors and determiners held within, "Freshwater samples in MZNA-INV-FRW: Macroinvertebrate samples from the water quality monitoring network along the Ebro Basin". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/dfddad59-5bc5-4e35-8b35-334eed43bba9">https://bionomia.net/dataset/dfddad59-5bc5-4e35-8b35-334eed43bba9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/dfddad59-5bc5-4e35-8b35-334eed43bba9">https://gbif.org/dataset/dfddad59-5bc5-4e35-8b35-334eed43bba9</a>. Formatted as a Frictionless Data package.

opencc-by-4.0Dec 2020View details →

Dataset of sampled and/or logged Chlorophyll, Total Suspended Matter, Turbidity and Water temperature in Dutch Case study areas

Dataset of sampled and/or logged Chlorophyll, Total Suspended Matter, Turbidity and Water temperature in Dutch Case study areas at multiple stations in 2018, 2019 and 2020.

Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe

Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.

Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe

Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.

Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe

Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.

Text-fig. 10. Scatter diagram of m1 length vs SDQ for Extant (time slice 1 and 2) Arvicola samples of different geographical provenances compared with M. savini-A. mosbachensis. Abbreviations: EU – Europe, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe

Text-fig. 10. Scatter diagram of m1 length vs SDQ for Extant (time slice 1 and 2) Arvicola samples of different geographical provenances compared with M. savini-A. mosbachensis. Abbreviations: EU – Europe, GE – Germany, IT – Italy, SP – Spain.

Text-fig. 1. SDQ vs stratigraphic time in samples of Mimomys savini and Arvicola from various Italian and German localities (in brackets: sample size), showing a parallel trend starting from ca. 200 ka. From Maul et al. (1998b: fig. 4), modified. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe

Text-fig. 1. SDQ vs stratigraphic time in samples of Mimomys savini and Arvicola from various Italian and German localities (in brackets: sample size), showing a parallel trend starting from ca. 200 ka. From Maul et al. (1998b: fig. 4), modified.

opencc-by-4.0Mar 2023View details →

Phtometry measurements using spectroscopic ellipsometer of PAAO containing samples in air and water (AoI 45 deg., 60 deg., varying polarizer and analyser angles)

The file contains raw intensity data measured in reflection mode for various material combinations: porous anodized aluminium oxide (PAAO), gold nanoparticles (Au NPs), diamond-like carbon with silver nanoparticles composite (DLC:Ag), quartz, and silicon. List of investigated samples: <table> <thead> <tr> <th scope="col">Sample name</th> <th scope="col">Sample description</th> </tr> </thead> <tbody> <tr> <td>AJ1</td> <td>Aluminium substrate, ~241 nm thickness PAAO (anodized in 0.3 mol/L oxalic acid at 40 V for 3 min 16 s), 60 nm diameter Au NPs (dip-coated at a speed of 1 μm/s)</td> </tr> <tr> <td>AJ2</td> <td>Aluminium substrate, ~259 nm thickness PAAO (anodized in 0.3 mol/L oxalic acid at 40 V for 3 min 37 s), 60 nm diameter Au NPs (dip-coated at a speed of 1 μm/s)</td> </tr> <tr> <td>AJ3</td> <td>Aluminium substrate, ~293 nm thickness PAAO (anodized in 0.3 mol/L oxalic acid at 40 V for 4 min 8 s), 60 nm diameter Au NPs (dip-coated at a speed of 1 μm/s)</td> </tr> <tr> <td>AJ4</td> <td>Aluminium substrate, ~317 nm thickness PAAO (anodized in 0.3 mol/L oxalic acid at 40 V for 4 min 30 s), 60 nm diameter Au NPs (dip-coated at a speed of 1 μm/s)</td> </tr> <tr> <td>AJ5</td> <td>Aluminium substrate, ~345 nm thickness PAAO (anodized in 0.3 mol/L oxalic acid at 40 V for 4 min 57 s), 60 nm diameter Au NPs (dip-coated at a speed of 1 μm/s)</td> </tr> <tr> <td>AJ6</td> <td>Aluminium substrate, ~276 nm thickness PAAO (anodized in 0.3 mol/L oxalic acid at 40 V for 3 min 42 s), ~55 nm thickness, 20 V.% Ag concentration DLC:Ag (magnetron sputtered using silver target, 80 sccm argon gas flow, 5.4 sccm C2H2 gas flow, 405 V voltage, 0.09-0.10 A current, 7·10-3 mbar work pressure, 2 minutes 32 seconds process duration)</td> </tr> <tr> <td>AJ7</td> <td>Aluminium substrate, ~316 nm thickness PAAO (anodized in 0.3 mol/L oxalic acid at 40 V for 4 min 25 s), ~55 nm thickness, 20 V.% Ag concentration DLC:Ag (magnetron sputtered using silver target, 80 sccm argon gas flow, 5.4 sccm C2H2 gas flow, 405 V voltage, 0.09-0.10 A current, 7·10-3 mbar work pressure, 2 minutes 32 seconds process duration)</td> </tr> <tr> <td>AJ8</td> <td>Aluminium substrate, ~345 nm thickness PAAO (anodized in 0.3 mol/L oxalic acid at 40 V for 5 min 4 s), ~55 nm thickness, 20 V.% Ag concentration DLC:Ag (magnetron sputtered using silver target, 80 sccm argon gas flow, 5.4 sccm C2H2 gas flow, 405 V voltage, 0.09-0.10 A current, 7·10-3 mbar work pressure, 2 minutes 32 seconds process duration)</td> </tr> <tr> <td>Q140</td> <td>Quartz substrate, ~55 nm thickness, 20 V.% Ag concentration DLC:Ag (magnetron sputtered using silver target, 80 sccm argon gas flow, 5.4 sccm C2H2 gas flow, 405 V voltage, 0.09-0.10 A current, 7·10-3 mbar work pressure, 2 minutes 32 seconds process duration)</td> </tr> <tr> <td>Si140</td> <td>Silicon substrate, ~55 nm thickness, 20 V.% Ag concentration DLC:Ag (magnetron sputtered using silver target, 80 sccm argon gas flow, 5.4 sccm C2H2 gas flow, 405 V voltage, 0.09-0.10 A current, 7·10-3 mbar work pressure, 2 minutes 32 seconds process duration)</td> </tr> </tbody> </table> Ellipsometer: rotating compensator GES5-E (Semilab). Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum. Detector: UV-Vis CCD with 0.8 nm resolution. Spectral range: approximately 230-960 nm. Mode: photometry. Light incidence angles: 45°, 60°. Polarizer angles: 0°, 90°. Analyzer angles: 0°, 45°, 90°. Light beam size: microspot (365 × 470 μm2 at 75° angle of incidence). The reference was measured from aluminum mirror provided with the ellipsometer for each variation of measurement set-up. Each sample was first measured in air and then after immersion in water. Focusing was performed before each measurement. .smdx and .mup files are generated by the ellipsometer and can be opened using Semilab software. Their file names contain sample name, polarizer angle (Pol), analyzer angle (Ana), incidence angle (ang), and surrounding medium (air/water). .csv files are exported data related to each sample. .jpg files are for illustrative purposes to show the spectra. .rar file contains all the files in this upload.

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Different approaches to processing environmental DNA samples in turbid waters have distinct effects for fish, bacterial and archaea communities

Open the record for dataset details and reuse information.

publicMar 2023View details →

openCC (other)Jan 2019View details →

LAGOS Lake nutrient, carbon and chlororphyll data to evaluate biases in lake water quality sampling practices in a 17-state region of the US

This dataset includes data for eight major limnological variables in LAGOS-NE_LIMNO v. 1.087.1 that were used to evaluate biases in lake water quality sampling and implications for macroscale research (Stanley et al. In Revision, Limnology and Oceanography). Most observations came from LAGOS-NE_LIMNO v. 1.087.1, an integrated database of lake ecosystems (Soranno et al. 2015, Soranno et al. 2017) but were supplemented with additional data from the State of New Hampshire. LAGOS-NE contains information on lakes great than or equal to 1 ha (originally derived from the U.S. Geological Survey's 2013 National Hydrography Dataset) for a 17-state region of the U.S., and a subset of the lakes has observational data on lake chemistry and productivity. Approximately 87 different sources of data were compiled for the LAGOS-NELIMNO v. 1.087.1 dataset and were mostly generated by government agencies (state, federal, tribal) and universities. In this analysis, we compiled data for eight major limnological variables (Secchi disk depth, chlorophyll, total phosphorus, total nitrogen, nitrate, ammonium, true water color, and dissolved organic carbon) and geographic characteristics of lakes (location, lake area, depth, perimeter, watershed area) to evaluate biases in different limnological properties over space and time.

openCC (other)Aug 2020View details →

Semi-quantitative microcystin concentration measured in surface water samples collected by the Citizen-Led Environmental Observatory (CLEO) from multiple nearshore sites in Lake Lillinonah, Connecticut, USA, 2015-2018

Included in this data package are cyanobacterial toxin data from the Citizen-Led Environmental Observatory (CLEO), a volunteer water quality monitoring program run by Friends of the Lake (FOTL, friendsofthelake.org) and Fairfield University at Lake Lillinonah, Connecticut, USA. The program has been operational since 2008 (toxin data available form 2015-2018). Trained volunteer monitors collect routine surface water samples from multiple nearshore sites twice a month from Memorial Day through Labor Day. In addition, spot samples are taken whenever a significant algae bloom is present at the collection site. These samples are analyzed for microcystin concentrations. Routine water samples are also analyzed for levels of the total nitrogen and phosphorus concentrations. Additionally, CLEO volunteers collect data on water temperature, Secchi disk depth, water color, presence of floating woody debris, recreation potential, trash, particle type and surface scum every 1-3 days during the same period. These data are available in EDI packages EDI567 (general water quality) and EDI568 (nutrients).

openCC (other)May 2021View details →

Depth profiles of water column dissolved methane, density and biomass of zooplankton (specifically, Chaoborus spp.), and measurements of methane extracted from Chaoborus spp. during two sampling campaigns in 2016

Depth profiles of water column dissolved methane (CH4), density and biomass of zooplankton (specifically, Chaoborus spp.), and measurements of methane extracted from Chaoborus spp. were collected from Beaverdam Reservoir, Vinton, VA, USA during two, 24-hr intensive sampling campaigns in fall 2016 (3-4 August and 16-17 September). The sampling campaign was designed to test the hypothesis that Chaoborus spp. can transport CH4 from the hypolimnion to the epilimnion of lakes and reservoirs as they migrate to the surface waters from the benthos at night in search of zooplankton prey, and results of the project are published in Carey et al. 2018. During both sampling events, depth profiles of water column methane and Chaoborus spp. density were collected at noon, dusk, midnight, 2 a.m., dawn, and noon the following day at a 1 m resolution. In addition, during the September sampling event depth profiles were collected 1 hour prior to and after dusk. Methane gas was extracted from live Chaoborus individuals at every depth and time point immediately after collection via gentle centrifugation in distilled water following McGinnis et al. 2017. REFERENCES: Carey, C.C., R.P. McClure, J.P. Doubek, M.E. Lofton, N.K. Ward, and D. Scott. 2018. Chaoborus spp. transport CH4 from the sediments to the surface waters of a eutrophic reservoir, but their contribution to water column CH4 concentrations and diffusive efflux is minor. Environmental Science & Technology. 52:1165-1173. DOI 10.1021/acs.est.7b04384 McGinnis, D. F., Flury, S., Tang, K. W., Grossart, H.-P. 2017. Porewater methane transport within the gas vesicles of diurnally migrating Chaoborus spp.: an energetic advantage. Scientific Reports. 7(44478) DOI 10.1038/srep44478

openOpenJun 2021View details →

Eight Mile Lake Research Watershed, Thaw Gradient: Geochemistry of soil pore waters sampled in May 2018 (0 - 20 cm depth) and August 2019 (0-120 cm depth) at Gradient site, 2018-2019

In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Analysing the geochemistry of soil pore waters at Gradient site complements the overarching aim of this study. The dissolved organic carbon and mineral elements are determined in soil pore waters from sites of minimum, moderate and extensive permafrost degradation during the spring thaw (0-20 cm depth) in May 2018 and during late summer (0-120 cm depth) in August 2019. Soil pore waters were collected from sites approximately 15 m uphill of the highly monitored Gradient sites. The geochemical data was used to assess the mineral element-organic carbon associations in soil pore waters between contrasting sites of permafrost degradation.

openCC (other)Mar 2019View details →

Hubbard Brook Experimental Forest: W3 Surface Water Sampling Sites – 2009-2010

This dataset presents field and analytical data collected during a surface water sampling survey on six dates between July 9, 2009 and October 1, 2010 in watershed 3 (W3) at the Hubbard Brook Experimental Forest, NH, USA. Samples were collected every 50 meters along an ephemeral to perennial stream network and at groundwater seeps wherever they were located. The dataset includes both a table of chemical analyses and a shapefile of sampling site locations. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.