Find research datasets worth reusing

VC40429 Million Mutation Project strain | 2016-02-03T12:30:04+00:00

<blockquote> This experiment is part of the C.elegans behavioural database. For more information and the complete collection of experiments visit http://movement.openworm.org </blockquote> <ul> <li>preview link : https://www.youtube.com/watch?v=dPWc539ldB8</li> <li>strain : VC40429</li> <li>timestamp : 2016-02-03T12:30:04+00:00</li> <li>gene : -N/A-</li> <li>chromosome : -N/A-</li> <li>allele : -N/A-</li> <li>strain_description : Million Mutation Project strain</li> <li>sex : hermaphrodite</li> <li>stage : adult</li> <li>ventral_side : clockwise</li> <li>media : NGM agar low peptone</li> <li>arena : <ul> <li>style : petri</li> <li>size : 35</li> <li>orientation : away</li> </ul> </li> <li>food : OP50</li> <li>habituation : 30m wait</li> <li>who : Laura Grundy</li> <li>protocol : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li>lab : <ul> <li>name : William R Schafer</li> <li>location : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li>software : <ul> <li>name : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li>version : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li>featureID : @OMG</li> </ul> </li> <li>base_name : VC40429 on food L_2016_02_03__12_30_04___4___5</li> <li>total time (s) : 899.0</li> <li>frames per second : 30.03</li> <li>video micrometers per pixel : 6.21293</li> <li>number of segmented skeletons : 26719</li> </ul>

VC40429 Million Mutation Project strain | 2016-02-24T16:20:58+00:00

<blockquote> This experiment is part of the C.elegans behavioural database. For more information and the complete collection of experiments visit http://movement.openworm.org </blockquote> <ul> <li>preview link : https://www.youtube.com/watch?v=m_72gXApJTM</li> <li>strain : VC40429</li> <li>timestamp : 2016-02-24T16:20:58+00:00</li> <li>gene : -N/A-</li> <li>chromosome : -N/A-</li> <li>allele : -N/A-</li> <li>strain_description : Million Mutation Project strain</li> <li>sex : hermaphrodite</li> <li>stage : adult</li> <li>ventral_side : clockwise</li> <li>media : NGM agar low peptone</li> <li>arena : <ul> <li>style : petri</li> <li>size : 35</li> <li>orientation : away</li> </ul> </li> <li>food : OP50</li> <li>habituation : 30m wait</li> <li>who : Laura Grundy</li> <li>protocol : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li>lab : <ul> <li>name : William R Schafer</li> <li>location : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li>software : <ul> <li>name : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li>version : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li>featureID : @OMG</li> </ul> </li> <li>base_name : VC40429 on food L_2016_02_24__16_20_58___3___3</li> <li>total time (s) : 899.3</li> <li>frames per second : 20.0</li> <li>video micrometers per pixel : 4.61106</li> <li>number of segmented skeletons : 17702</li> </ul>

VC40429 Million Mutation Project strain | 2016-02-19T14:29:32+00:00

<blockquote> This experiment is part of the C.elegans behavioural database. For more information and the complete collection of experiments visit http://movement.openworm.org </blockquote> <ul> <li>preview link : https://www.youtube.com/watch?v=uqPq5hMZIA8</li> <li>strain : VC40429</li> <li>timestamp : 2016-02-19T14:29:32+00:00</li> <li>gene : -N/A-</li> <li>chromosome : -N/A-</li> <li>allele : -N/A-</li> <li>strain_description : Million Mutation Project strain</li> <li>sex : hermaphrodite</li> <li>stage : adult</li> <li>ventral_side : anticlockwise</li> <li>media : NGM agar low peptone</li> <li>arena : <ul> <li>style : petri</li> <li>size : 35</li> <li>orientation : away</li> </ul> </li> <li>food : OP50</li> <li>habituation : 30m wait</li> <li>who : Laura Grundy</li> <li>protocol : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li>lab : <ul> <li>name : William R Schafer</li> <li>location : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li>software : <ul> <li>name : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li>version : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li>featureID : @OMG</li> </ul> </li> <li>base_name : VC40429 on food R_2016_02_19__14_29_32___3___1</li> <li>total time (s) : 899.3</li> <li>frames per second : 20.0</li> <li>video micrometers per pixel : 4.61106</li> <li>number of segmented skeletons : 17987</li> </ul>

VC40429 Million Mutation Project strain | 2016-02-16T15:25:25+00:00

<blockquote> This experiment is part of the C.elegans behavioural database. For more information and the complete collection of experiments visit http://movement.openworm.org </blockquote> <ul> <li>preview link : https://www.youtube.com/watch?v=WbNoR4n50FI</li> <li>strain : VC40429</li> <li>timestamp : 2016-02-16T15:25:25+00:00</li> <li>gene : -N/A-</li> <li>chromosome : -N/A-</li> <li>allele : -N/A-</li> <li>strain_description : Million Mutation Project strain</li> <li>sex : hermaphrodite</li> <li>stage : adult</li> <li>ventral_side : anticlockwise</li> <li>media : NGM agar low peptone</li> <li>arena : <ul> <li>style : petri</li> <li>size : 35</li> <li>orientation : away</li> </ul> </li> <li>food : OP50</li> <li>habituation : 30m wait</li> <li>who : Laura Grundy</li> <li>protocol : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li>lab : <ul> <li>name : William R Schafer</li> <li>location : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li>software : <ul> <li>name : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li>version : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li>featureID : @OMG</li> </ul> </li> <li>base_name : VC40429 on food R_2016_02_16__15_25_25___3___3</li> <li>total time (s) : 899.3</li> <li>frames per second : 20.0</li> <li>video micrometers per pixel : 4.61106</li> <li>number of segmented skeletons : 16977</li> </ul>

VC40429 Million Mutation Project strain | 2016-02-10T14:37:21+00:00

<blockquote> This experiment is part of the C.elegans behavioural database. For more information and the complete collection of experiments visit http://movement.openworm.org </blockquote> <ul> <li>preview link : https://www.youtube.com/watch?v=PgegsZlC57Y</li> <li>strain : VC40429</li> <li>timestamp : 2016-02-10T14:37:21+00:00</li> <li>gene : -N/A-</li> <li>chromosome : -N/A-</li> <li>allele : -N/A-</li> <li>strain_description : Million Mutation Project strain</li> <li>sex : hermaphrodite</li> <li>stage : adult</li> <li>ventral_side : clockwise</li> <li>media : NGM agar low peptone</li> <li>arena : <ul> <li>style : petri</li> <li>size : 35</li> <li>orientation : away</li> </ul> </li> <li>food : OP50</li> <li>habituation : 30m wait</li> <li>who : Laura Grundy</li> <li>protocol : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li>lab : <ul> <li>name : William R Schafer</li> <li>location : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li>software : <ul> <li>name : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li>version : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li>featureID : @OMG</li> </ul> </li> <li>base_name : VC40429 on food L_2016_02_10__14_37_21___3___2</li> <li>total time (s) : 899.3</li> <li>frames per second : 20.0</li> <li>video micrometers per pixel : 4.61106</li> <li>number of segmented skeletons : 17220</li> </ul>

VC40429 Million Mutation Project strain | 2016-02-03T12:10:35+00:00

<blockquote> This experiment is part of the C.elegans behavioural database. For more information and the complete collection of experiments visit http://movement.openworm.org </blockquote> <ul> <li>preview link : https://www.youtube.com/watch?v=MnyrifF0DNc</li> <li>strain : VC40429</li> <li>timestamp : 2016-02-03T12:10:35+00:00</li> <li>gene : -N/A-</li> <li>chromosome : -N/A-</li> <li>allele : -N/A-</li> <li>strain_description : Million Mutation Project strain</li> <li>sex : hermaphrodite</li> <li>stage : adult</li> <li>ventral_side : clockwise</li> <li>media : NGM agar low peptone</li> <li>arena : <ul> <li>style : petri</li> <li>size : 35</li> <li>orientation : away</li> </ul> </li> <li>food : OP50</li> <li>habituation : 30m wait</li> <li>who : Laura Grundy</li> <li>protocol : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li>lab : <ul> <li>name : William R Schafer</li> <li>location : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li>software : <ul> <li>name : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li>version : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li>featureID : @OMG</li> </ul> </li> <li>base_name : VC40429 on food L_2016_02_03__12_10_35___3___4</li> <li>total time (s) : 899.35</li> <li>frames per second : 20.0</li> <li>video micrometers per pixel : 4.61106</li> <li>number of segmented skeletons : 17491</li> </ul>

openbsd-2-clause-netbsdOct 2022View details →

Dataset for Assessing Multi-Dimensional Impacts of Achieving Sustainability Goals by Projecting the Sustainable Agriculture Matrix into the Future

This data repository feeds into the meta-repository setup for post-processing of GCAM-SAM outputs. GitHub link of meta-repository is: <a href="https://github.com/JGCRI/Kyle-etal_2022_EF">https://github.com/JGCRI/Kyle-etal_2022_EF</a>  Folders:  model/ is the static version of the model used to simulate 8 scenarios. See the <a href="https://github.com/pkyle/gcam-core/tree/gpk/paper/sam">GitHub GCAM-SAM repository</a> to follow active development of this model.  inputs/ folder contains input datasets and scripts used to prepare files while postprocessing. This is to be used with <a href="https://github.com/JGCRI/Kyle-etal_2022_EF">GitHub post-processing meta-repository</a>.  outdata/ contains <a href="http://github.com/pkyle/gcam-core/tree/gpk/paper/sam">GCAM-SAM</a> output and <a href="http://github.com/JGCRI/Kyle-etal_2022_EF">post-processed</a> output files used to plot figures.  Key files:  SAM-matrix.dat is the consolidated GCAM-SAM output. Use proj_load.R in the <a href="https://github.com/JGCRI/Kyle-etal_2022_EF">metarepo</a> to read the file.  region_vals.csv has all 8 indicators in all 8 scenarios for years 2020 till 2100 on a 10 year time step.  Short introduction to the study: In this paper sustainable agriculture matrix (SAM) is estimated to 2100 using Global Change Analysis Model (GCAM). We model combinatorial variations of yield intensification, dietary shift, and greenhouse gas mitigation scenarios. Findings include scenarios having significant tradeoffs across multiple environmental, economic, and social dimensions. Assessment of these multi-dimensional tradeoffs in a consistent framework improves the quality of information for decision-making. Should you have any questions, feel free to reach out Page Kyle at <a href="mailto:pkyle@pnnl.gov">pkyle@pnnl.gov</a>.

opencc-by-4.0May 2022View details →

Hong Kong Jellyfish Project 2021 Website and iNaturalist observations

Jellyfish are important organisms within marine ecosystems, although the extent of their occurrence and diversity  is likely underestimated, particularly for biodiversity-rich locations such as the Indo-Pacific. The potential for citizen science to monitor phenomena associated with these Cnidarians over large spatial scales has been recognized in an increasingly broad array of locations, including the Mediterranean, South Africa, and the UK. Here, we were interested if such an approach could be used to understand more about their presence, seasonal occurrence and distribution in Hong Kong. To address these areas, the Hong Kong Jellyfish Project was launched in early 2021 with citizen scientists invited to submit photographs and simple information (date, time, location, number of jellyfish) to a project website or a collection project on the online citizen science biodiversity platform iNaturalist . For some of these observations, jellyfish were sampled and DNA analysis conducted to confirm morphologically-based identification. During 2021, over 380 observations of jellyfish were submitted through the website and iNaturalist project, with 19 species recorded as present. The species most frequently recorded were Cyanea nozakii and Rhopilema hispidum  , and two new species records  of Thysanostoma loriferum and Netrostoma setouchianum were documented for Hong Kong    .  There was a seasonal trend in observations, with most jellyfish seen in March-May.  Finally, there was a broad geographical distribution of observations throughout Hong Kong’s coastal waters, with more observations made in the south/east. Together, these observations gathered by citizen scientists indicate a broad distribution of jellyfish – and the occurrence of previously undocumented species – in Hong Kong’s waters.

Biogeochemical data from the HIPE project in Lakes Edward and George (East African Rift)

The geo-referenced and timestamped data-set consists of 7 files: <ul> <li>“db_cruise_CTD” contains the CTD profiles obtained during the cruises</li> <li>“db_cruise_GHGs” contains CO2, CH4, N2O dissolved concentrations, chlorophyll-a concentrations, inorganic nutrients (NO3-, N2O-, NH4+, PO43-) and d13C-CH4 from the 4 cruises</li> <li>“db_monitoring” contains CO2, CH4, N2O dissolved concentrations, chlorophyll-a concentrations, and POC from the monitoring at two stations (January 2017 to December 2019)</li> <li>“db_uw” contains the continuous of CO2 and CH4 (plus EXO-II data) on 19/03/2019</li> <li>“meteo_Mweya” contains the meteorological data acquired from June 2016 to March 2019</li> <li>“db_monitoring_CTD” contains the CTD profiles from the deep station of the monitoring.</li> <li>“mooring” contains the temperature data from a mooring at a station 10 m deep (March 2019)</li> </ul>   Data were acquired in Lake Edward, Kazinga Channel and Lake George on four occasions (20/10-07/11/2016, 23/03-08/04/2017, 18/01-02/02/2018, 21/03-30/03/2019). From January 2017 to December 2019, a shallow station (3 m bottom depth) and a deeper station (22 m bottom depth) were regularly sampled, every 21 d in 2017 and 2018, and every 30 d in 2019. A mooring was deployed at a station at 10m bottom depth in Lake Edward (-0.2459°N 29.8635°E) equipped with RBR Solo temperature sensors at 6 depths from surface to 1m above the sediment (0.2, 1.0, 2.0, 5.0, 7.5 and 9.0 m depth) from 21/03/2019 (13:00 local time (LT)) to 23/03/2019 (13:50 LT).   Solar radiation, ultraviolet radiation, wind speed (cup anemometer), wind direction (wind vane), rain (mechanical rain collector), air temperature, barometric pressure data were acquired with a Davis Instruments weather station (Vantage Pro2 fitted with standard manufacturer sensors) in Mweya on top of a building of the Uganda Wildlife Authority, 4m above ground (-0.190384°N  29.899103°E) . Data were measured every 5 seconds, averaged and logged every 10 minutes. During the March 2019 cruise, continuous measurements (1 min interval) of partial pressure of CO2 (pCO2) and of partial pressure of CH4 (pCH4) were made with an equilibrator designed for turbid waters consisting of a tube filled with glass marbles (Frankignoulle et al. 2001) coupled to a Los Gatos Research off-axis integrated cavity output spectroscopy analyzer (Ultraportable Greenhouse Gas Analyzer with extended range for CH4). In parallel water temperature, specific conductivity, pH, dissolved oxygen saturation level (%O2), turbidity, chlorophyll-a (Chl-a), and fluorescent dissolved organic matter (FDOM) were measured with an YSI EXO-II multi-parameter probe, position with a Garmin geographical position system (Map 60S) portable probe, and depth with a Humminbird Helix 5 echo-sounder. Surface water was pumped to the equilibrator and the multi-parameter probe (on deck) with a 12V-powered water pump (LVM105) attached to the side of the boat at a fixed depth of about 0.5 m depth. Discrete sampling was done from the side of the boat with a 5.0 L Niskin bottle (General Oceanics). During the first cruise, vertical profiles of water temperature, specific conductivity, pH, %O2 and Chl-a were measured with a Hydrolab DS5 multi-parameter probe, while during the other three cruises and also during the monitoring, turbidity and FDOM were measured additionally with a YSI EXO-II multi-parameter probe. Both multi-parameter probes were calibrated according to manufacturer’s specifications, in air for %O2 and with standard solutions for other variables: commercial pH buffers (4.00, 7.00, 10.00), a 1000 µS cm-1 standard for conductivity. pCO2 was measured directly after water sampling with a Li-Cor Li-840 infra-red gas analyser (IRGA) based on the headspace technique with 4 polypropylene 60 ml syringes (Borges et al. 2015). The Li-Cor 840 IRGA was calibrated before and after each cruise with ultrapure N2 and a suite of gas standards (Air Liquide Belgium) with CO2 mixing ratios of 388, 813, 3788 and 8300 ppm. The overall precision of pCO2 measurements was ±2.0%. Samples for CH4 and N2O were collected from the Niskin bottle with a silicone tube in 60 ml borosilicate serum bottles (Wheaton), poisoned with 200 µL of a saturated solution of HgCl2 and sealed with a butyl stopper and crimped with an aluminium cap. Measurements were made with the headspace technique (Weiss 1981) and a gas chromatograph (GC) (SRI 8610C) with a flame ionisation detector for CH4 and electron capture detector for N2O calibrated with CO2:CH4:N2O:N2 gas mixtures (Air Liquide Belgium) with mixing ratios of 1, 10 and 30 ppm for CH4, 404, 1018, 3961 ppm for CO2, and 0.2, 2.0 and 6.0 ppm for N2O. The precision of measurement based on duplicate samples was ±3.9% for CH4 and ±3.2% for N2O. Samples for the stable isotope composition of CH4 (δ13C-CH4) were collected and preserved as described above for the CH4 concentration. The δ13C-CH4 was determined with a custom developed interface, whereby a 20 ml He headspace was first created, and CH4 was flushed out through a double-hole needle, non-CH4 volatile organic compounds were trapped in liquid N2, CO2 was removed with a soda lime trap, H2O was removed with a magnesium perchlorate trap, and the CH4 was quantitatively oxidized to CO2 in an online combustion column similar to that of an elemental analyzer. The resulting CO2 was subsequently pre-concentrated by immersion of a stainless steel loop in liquid N2, passed through a micropacked GC column (Restek HayeSep Q, 2m length, 0.75mm internal diameter), and finally measured on a Thermo DeltaV Advantage isotope ratio mass spectrometer (IRMS). Calibration was performed with CO2 generated from certified reference standards (IAEA-CO-1 or NBS-19, and LSVEC) and injected in the line after the CO2 trap. Reproducibility of measurement based on duplicate injections of samples was typically better than ±0.5 &permil;. Water was filtered on Whatman glass fibre filters (GF/F grade, 0.7 µm porosity) for particulate organic carbon (POC) and Chl-a (47 mm diameter). Filters for POC were stored dry and filters for Chl-a were stored frozen at -20°C. Filters for POC analysis were decarbonated with HCl fumes for 4h and dried before encapsulation into silver cups; POC concentration was analysed on an EA-IRMS (Thermo FlashHT with DeltaV Advantage), with a reproducibility better than ±5%. Data were calibrated with certified (IAEA-600: caffeine) and in-house standards (leucine and muscle tissue of Pacific tuna) that were previously calibrated versus certified standards. The Chl-a samples were analysed by HPLC according to Descy et al. (2005), with a reproducibility of ±0.5% and a detection limit of 0.01 µg L-1. The water filtered through GF/F Whatman glass fibre filters was collected and further filtered through polyethersulfone syringe encapsulated filters (0.2 µm porosity) for nitrate (NO3-), nitrite (NO2-) and ammonium (NH4+) and were stored frozen (-20°C) in 50 mL polypropylene vials. NO3- and NO2- were determined with the sulfanilamide colorimetric with the vanadium reduction method (APHA, 1998), and NH4+ with the dichloroisocyanurate-salicylate-nitroprussiate colorimetric method (SCA, 1981). Detection limits were 0.3, 0.01, and 0.15 µmol L-1 for NH4+, NO2- and NO3-, respectively. Precisions were ±0.02 µmol L-1, ±0.02 µmol L-1, and ±0.1 µmol L-1 for NH4+, NO2- and NO3-, respectively.   References   APHA, 1998. Standard methods for the examination of water and wastewater, American Public Health Association. Borges, A. V., Darchambeau, F., Teodoru, C. R., Marwick, T. R., Tamooh, F., Geeraert, N., Omengo, F. O., Guérin, F., Lambert, T., Morana, C., Okuku, E., and Bouillon, S.: Globally significant greenhouse gas emissions from African inland waters, Nature Geosci., 8, 637-642, doi:10.1038/NGEO2486, 2015. Descy, J.-P., Hardy, M.-A., Sténuite, S., Pirlot, S., Leporcq, B., Kimirei, I., Sekadende, B., Mwaitega, S. R., and Sinyenza, D., 2005. Phytoplankton pigments and community composition in Lake Tanganyika. Freshw. Biol., 50, 668-684. Frankignoulle, M., Borges, A., Biondo R., 2001. A new design of equilibrator to monitor carbon dioxide in highly dynamic and turbid environments. Water Res., 35, 1344-1347. Standing committee of Analysts: Ammonia in waters. Methods for the examination of waters and associated materials. 16 pp., 1981. Weiss, R.F., 1981. Determinations of carbon dioxide and methane by dual catalyst flame ionization chromatography and nitrous oxide by electron capture chromatography. J. Chromatogr. Sci., 19, 611-616.

Progeny Project DFT and DFTB data of MW9 and MW10 surfactant molecules

DFT and DFTB (see dftb.org) data for the MW9 and MW10 PDI based surfactant molecules of the Progeny project. See README.txt in each subdirectory for more details.

Progeny Project Gromacs MD Simulations of the MW8 surfactant

"MW8" thiophene based surfactant molecule at the water-vacuum interface, data from the PROGENY project , gromacs 2021.2 input and output. From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See README.txt.

Progeny Project MW1 surfactant at water-vacuum interface simulation data, 1 to 48 molecules per surface

"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project , gromacs 2021.2 input and output. From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.

Progeny Project MW1 surfactant at water-vacuum interface simulation data, 60 to 154 molecules per surface

"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project , gromacs 2021.2 input and output. From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.

Progeny Project MW1 surfactant at water-vacuum interface simulation data, 161 to 175 molecules per surface

"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project , gromacs 2021.2 input and output. From the trajectories contained in this archive density profiles and surface tensions can be extracted. Different number of molecules per surface in each sub directory. See Readme.txt.

Progeny Project Gromacs input and trajectories of a C12E6 surfactant model at the vacuum-water interface

This is gromacs 2021.2 input and output for an all-atom C12E6 surfactant molecule  at the water-vacuum interface with TIP4P-ew and SPC/E water models.

Progeny Project DFT data for MW1, MW2 and MW8 surfactant molecules

DFT data, i.e. geometries, electronic eigenvalues, wave function "molden format" data and RESP charges for the MW1, MW2 and MW8 surfactants of the Progeny Project. See Readme.txt for more details.

opencc-by-4.0Nov 2022View details →

Tan-Tári Bricks project trailer video in iGEM Design League 2022

Promotional video of Tan Tari bricks for the iGEM Design League competition 2022.

dryad36/100

Alaska Sustainable Salmon Fund Project #52002: Climate warming effects on Chinook Salmon foraging conditions and growth

The Chena River hosts one of the largest populations of Chinook Salmon in the Alaska portion of the Yukon River drainage, which has recently experienced poor Chinook returns throughout. Past work suggests that these fish do poorly when they grow slowly due to cold, high-flow conditions during their first summer in the river as juveniles, and the population does well when juveniles experience warm, low-flow years and grow larger. Because high flow drives low water temperatures and vice versa, it was previously unclear to what extent each factor—flow and temperature—affects the fish population. We collected data to run foraging and bioenergetics models that simulate how flow and temperature affect growth. We invented two sampling devices, a suction pump to sample drifting prey and a computer vision system to measure the inedible debris that occupy most of a fish's feeding effort. We combined our data with USGS and NOAA records to predict temperature, turbidity, prey, and debris on a daily basis throughout our study years (2019-2020) and others. This dataset contains the data we collected and compiled from other sources on fish growth, temperature, invertebrate drift, and drifting debris.

opencc-zeroNov 2022View details →

opencc-by-4.0Nov 2022View details →

Students as citizen scientists: project-based learning through the iNaturalist platform could provide useful biodiversity data

This is a compilation of data from iNaturalist platform based on the geographic limits of brazilian semiarid until 28 october, 2022.