Find research datasets worth reusing

openOpenMay 2022View details →

Effect of the aspen leaf miner feeding damage on aspen leaf gas exchange and water relations from south-facing site on the University of Alaska Fairbanks campus: Fairbanks, Alaska 2018

This dataset addresses the effects of epidermal leaf mining by the aspen leaf miner (Phyllocnistis populiella) on the physiology and water relations of aspen leaves. The dataset contains measurements of gas exchange, water potential, water content, and delta13C of aspen leaves manipulated to bear leaf mining damage on the top (adaxial) leaf surface only, the bottom (abaxial) leaf surface only, or no mining damage.

openCC (other)Jan 2020View details →

PIE LTER measurements of water column depth at 15 minute intervals in the Parker River near Rt 1A bridge, Newbury, MA, year 2000. Water depths are relative to the sonde pressure transducer and not associated with a datum.

PIE LTER, year 2000,15 minute readings of water column depth in the lower Parker River Estuary at Fernalds Marina bulkhead off Rt. 1A., Newbury, MA. Water depths are relative to the sonde pressure transducer and not associated with a datum.

openCC (other)Jan 2020View details →

PIE LTER measurements of water column depth at 15 minute intervals in the Parker River near Rt 1A bridge, Newbury, MA, year 2001. Water depths are relative to the sonde pressure transducer and not associated with a datum.

PIE LTER, year 2001,15 minute readings of water column depth in the lower Parker River Estuary at Fernalds Marina bulkhead off Rt. 1A., Newbury, MA. Water depths are relative to the sonde pressure transducer and not associated with a datum.

openCC (other)Jan 2020View details →

PIE LTER measurements of water column depth at 15 minute intervals in the Parker River near Rt 1A bridge, Newbury, MA, year 2002. Water depths are relative to the sonde pressure transducer and not associated with a datum.

PIE LTER, year 2002, 15 minute readings of water column depth in the lower Parker River Estuary at Fernalds Marina bulkhead off Rt. 1A., Newbury, MA. Water depths are relative to the sonde pressure transducer and not associated with a datum.

zenodo44/100

Isotopes and related data associated with water tracing with environmental DNA in a high-Alpine catchment

Isotopes and related data associated with water tracing with environmental DNA in a high-Alpine catchment Prepared by Natalie Ceperley, February 2020.   All methods associated with this data are available in the manuscript: Elvira Mächler, Anham Salyani, Jean-Claude Walser, Annegret Larsen, Bettina Schaefli, Florian Altermatt, and Natalie Ceperley.  2019.  Water tracing with environmental DNA in a high-Alpine catchment, Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-2019-551.  Related data sets are and will be published in the Vallon de Nant Community on Zenodo. Associated sequencing data are publicly available on European Nucleotide Archive (Mächler et al., 2020).  All isotope data analyzed in the laboratory of Torsten W. Vennemann at the University of Lausanne.    All Files:     ▪    NaN - No measurement or sample     ▪    Details regarding measurement are available in paper or supplement.   Files:  1)    climate_hydro_2017_daily.csv      ⁃    16 columns:          ⁃    1. day of year with January 1, 2017 = 1         ⁃    2-5. Q: daily mean, min, max, and baseflow discharge as measured at outlet (location ER/MR), in liters / day          ⁃    6. P: mean mm of rain across catchment per day         ⁃    7. SR: total solar radiation per day in W/hr/m2 as median of 4 meteorological stations         ⁃    8-10. SCA: mean, min, and max snow covered area on days with satellite imagery available for whole catchment area, in %         ⁃    11-13. water temperature, mean, min, and max, at outlet (location ER/MR), in degrees C         ⁃    14-16. air temperature, mean, min, and max at 4 meteorological stations, in degrees C 2)    delta-18-O_permil.csv      ⁃    stable isotopes of water (delta 18-O) in per mil     ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 3)    delta-2-H_permil.csv      ⁃    stable isotopes of water (delta 2-H) in per mil     ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 4)    dqdt_outlet_prev48hrs.csv     -    dq/dt determined at the outlet for the previous 48 hours at sampling moment (TimeOfSamples_HR.csv) for each sampling site     ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 5)    ednasamplecount.csv      -    this is the tally of samples (1 sample includes 4 replicates)     ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 6)    electricalconductivity_instrument.csv      ⁃    Code:              108 - post-analyzed using a glass bodied 6 mm probe in the laboratory (Jenway  4510, Staffordshire, UK).              102 - hand measurement with WTW (multi-3510 with a  IDS-tetracon-925, Xylem Analytics, Germany)     ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 7)    electricalconductivity_uScm.csv      -    this is the electrical conductivity in micro siemens per cm, according to the instruments coded in electricalconductivity_instrument.csv     ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 8)    LC-excess.csv      -     this is the line control execss from the meteoric water line as determined by the samples in the file: precipitationistopemetadata.csv     ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 9)    locations.csv      ⁃    Location codes used in other files.      -    Coordinates in CH1903 / LV03 and WGS 84 (lat/lon). Elevation in m. asl.  10)    precipitationisotopemetadata.csv      -     This is the sampling information for the isotope data that was used to calculate the meteoric water line.      -    The full data set will become available in a subsequent publication on Zenodo linked to the same community.      -    4 columns:          -    1. code: rain (1) or snow (2)         -    2. collection date and time         -    3. elevation in m. asl.          -    4. in the case of rain, this is the depth of collection in mm (area normalized volume), in the case of snow, this is the mean depth below the surface that the sample was taken from in cm.      ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 11)    sampledates.csv      -    These are the sample dates in day, month, year and day of year corresponding to the rows in other files 12)    stationlocations.csv     -     These are the locations of four meteorological stations and discharge measurement station.      -    Coordinates in CH1903 / LV03 and WGS 84 (lat/lon). Elevation in m. asl.  13)    TimeOfSamples_HR.csv      -    This is the time of the sample in hours and decimals correspond to minutes past hour     ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 14)    watertemperature_degC.csv      ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv)     -     measure in degrees C     -     instrument in watertemperature_instrument.csv 15)    watertemperature_instrument.csv      ⁃    Code:              1 = hand measurement with WTW (multi-3510 with a  IDS-tetracon-925, Xylem Analytics, Germany)             2 = HOBO Pendant Temperature/Light Data Logger 64K - UA-002-64", Onset (Bourne, MA, USA)             3 = Continually logging WTW (IDS-tetracon-325, Xylem Analytics, Germany)             4 = Continually logging (10min) HOBO U24-001 Conductivity, Onset (Bourne, MA, USA)      ⁃    columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv)

opencc-by-4.0Dec 2018View details →

zenodo44/100

MeanDRS River Width Sampling: Data products corresponding to "Intrinsic spatial scales of river stores and fluxes and their relative contributions to the global water cycle"

Corresponding peer-reviewed publication This dataset corresponds to all input and output files that were used in the study reported in: <ul> <li>Wade, J., David, C.H., Collins, E.L., Denbina, M., Cerbelaud, A., Tom, M., Reager, J.T., Frasson, R.P.M., Famiglietti, J.S., Lee, T., Gierach, M.M. (In Review), Intrinsic spatial scales of river stores and fluxes and their relative contributions to the global water cycle.</li> </ul> When making use of any of the files in this dataset, please cite both the aforementioned article and the dataset herein. Summary The Earth’s rivers vary in size across several orders of magnitude. Yet, the relative significance of small upstream reaches compared to large downstream rivers in the global water cycle remains unclear, challenging the determination of adequate spatial resolution for observations. Using monthly simulations of river stores and fluxes from the MeanDRS river routing dataset, we sample global rivers by a range of estimated river width thresholds to investigate the intrinsic spatial scales of the global river water cycle. We frame these scale-dependent river dynamics in terms of observational capabilities, assessing how the size of rivers that can be resolved influences our ability to capture key global hydrologic stores and fluxes. We aim to answer two questions: 1.     What is the intrinsic spatial resolution of global river dynamics? 2.     How can the spatial scale of river processes be used to inform efficient monitoring and modeling strategies of global river stores and fluxes? Data sources The following sources were used to produce files in this dataset: <ul> <li>Mean Discharge Runoff and Storage (MeanDRS) dataset (version v0.4) available under a CC BY-NC-SA 4.0 license. <a href="../records/10013744">https://zenodo.org/records/10013744</a>. DOI: 10.5281/zenodo.10013744; 10.1038/s41561-024-01421-5</li> <li>MERIT-Basins (version 1.0) derived from MERIT-Hydro (version 0.7) available under a CC BY-NC-SA 4.0 license. <a href="https://www.reachhydro.org/home/params/merit-basins">https://www.reachhydro.org/home/params/merit-basins</a></li> </ul> Software The software that was used to produce files in this dataset are available at https://github.com/jswade/meandrs-width-sampling. Data Products The following files represent the primary outputs of the analysis. Each file class generally has 61 files, corresponding to the 61 global hydrologic regions (region ii). Riv_coast.zip contains shapefiles of corrected and uncorrected MeanDRS river reaches that intersect with the global coast and are inferred to drain to the ocean. ·       riv_coast.zip     o      cor: riv_coast_pfaf_ii_COR.shp     o      uncor: riv_coast_pfaf_ii_UNCOR.shp   Qout_rivwidth.zip contains csv files of the aggregate river discharge to the ocean (km3/yr) of under each tested river width sampling scenario for each of the 61 global hydrologic regions. ·       Qout_rivwidth.zip: Qout_pfaf_ii_rivwidth.csv   V_rivwidth_low.zip contains csv files of the aggregate river storage (km3) for the low residence time scenario under each tested river width sampling scenario for each of the 61 global hydrologic regions. ·       V_rivwidth_low.zip: V_pfaf_ii_rivwidth_low.csv   V_rivwidth_nrm.zip contains csv files of the aggregate river storage (km3) for the normal (medium) residence time scenario under each tested river width sampling scenario for each of the 61 global hydrologic regions. ·       V_rivwidth_nrm.zip: V_pfaf_ii_rivwidth_nrm.csv   V_rivwidth_hig.zip contains csv files of the aggregate river storage (km3) for the high residence time scenario under each tested river width sampling scenario for each of the 61 global hydrologic regions. ·       V_rivwidth_hig.zip: V_pfaf_ii_rivwidth_hig.csv   Largest_rivs.zip contains files related to our analysis of the relative contributions of discharge to the ocean from the 10 largest global river basins. ·       largest_rivs.zip     o      cat: cat_dis_top10_nxx.shp – dissolved catchments of reaches draining from the 10 largest basins     o      csv: Q_df_top10.csv – total discharge contributed by each basin     o      riv: riv_top10_nxx.shp – river reaches that drain the 10 largest basins   Smallest_rivs.zip contains files related to our analysis of the relative contributions of discharge to the ocean from global rivers narrower than 100 m. ·       smallest_rivs.zip     o      cat: cat_pfaf_pfaf_ii_small_100m.shp – dissolved catchments of narrow reaches draining to the ocean for each region ii     o      csv: Q_df_top10.csv – total discharge to the ocean from each narrow river reach     o      riv: riv_pfaf_ii_small_100m.shp – river reaches narrower than 100 m that drain to the ocean for each region ii   Global_summary.zip contains files related to the global aggregation of our region-specific river width sampling estimates for discharge to the ocean and river storage. ·       global_summary.zip     o      Qout_rivwidth: global summary files for discharge to the ocean (km3/yr) under river width sampling     o      V_rivwidth_low: global summary files for total river storage (km3) for the low residence time scenario under river width sampling     o      V_rivwidth_nrm: global summary files for total river storage (km3) for the normal (medium) residence time scenario under river width sampling     o      V_rivwidth_hig: global summary files for total river storage (km3) for the hig residence time scenario under river width sampling     o      cat_small_gl: cat_dis_global_small_100m.shp – global dissolved catchments contributing to all rivers narrower than 100 m that drain to the ocean   Rivwidth_sens.zip contains files related to our supplemental analysis of the sensitivity of our width estimation approach to choice of input discharge dataset. Here, we compute estimated river widths using 3 versions of MeanDRS discharge outputs (VIC, CLSM, NOAH) and compare the results of river width sampling from those runs to that of the primary analysis. The file formats and explanations follow those presented above, with added information for the land surface model used to generate those discharge simulations. ·       Rivwidth_sens.zip     o      riv_coast     o      Qout_rivwidth_VIC     o      Qout_rivwidth_CLSM     o      Qout_rivwidth_NOAH     o      V_rivwidth_low_VIC     o      V_rivwidth_nrm_VIC     o      V_rivwidth_hig_VIC     o      V_rivwidth_low_CLSM     o      V_rivwidth_nrm_CLSM     o      V_rivwidth_hig_CLSM     o      V_rivwidth_low_NOAH     o      V_rivwidth_nrm_NOAH     o      V_rivwidth_hig_NOAH     o      global_summary_VIC     o      global_summary_CLSM     o      global_summary_NOAH   Cor_sens.zip contains files related to our supplemental analysis of the sensitivity use of corrected ensemble MeanDRS discharge and volume simulations as opposed to uncorrected ensemble simulations. Here, we repeat our primary analysis using only uncorrected simulations throughout, rather than performing river width sampling using corrected simulations. The file formats and explanations follow those presented above, with the files using uncorrected ensemble (ENS) discharge and storage values in contrast to the primary analysis. ·       Cor_sens.zip     o      Qout_rivwidth_ENS     o      V_rivwidth_low_ENS     o      V_rivwidth_nrm_ENS     o      V_rivwidth_hig_ENS     o      global_summary_ENS   Width_val.zip contains files related to our supplemental validation of river widths estimated from MeanDRS discharge simulations through comparison with optical measurements of widths from the Global River Widths from Landsat (GRWL) Databse (Allen & Pavelsky, 2018). ·       Width_val.zip: width_validation_pfaf_ii.csv   Known bugs in this dataset or the associated manuscript No bugs have been identified at this time.   References Allen, G. H., & Pavelsky, T. M. (2018). Global extent of rivers and streams. Science, 361(6402), 585-588. https://doi.org/10.1126/science.aat0636 Collins, E. L., David, C. H., Riggs, R., Allen, G. H., Pavelsky, T. M., Lin, P., Pan, M., Yamazaki, D., Meentemeyer, R. K., & Sanchez, G. M. (2024). Global patterns in river water storage dependent on residence time. Nature Geoscience, 1–7. https://doi.org/10.1038/s41561-024-01421-5 Lin, P., Pan, M., Beck, H. E., Yang, Y., Yamazaki, D., Frasson, R., David, C. H., Durand, M., Pavelsky, T. M., Allen, G. H., Gleason, C. J., & Wood, E. F. (2019). Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches. Water Resources Research, 55(8), 6499–6516. https://doi.org/10.1029/2019WR025287 Yang, Y., Pan, M., Lin, P., Beck, H. E., Zeng, Z., Yamazaki, D., David, C. H., Lu, H., Yang, K., Hong, Y., & Wood, E. F. (2021). Global Reach-Level 3-Hourly River Flood Reanalysis (1980–2019). Bulletin of the American Meteorological Society, 102(11), E2086–E2105. https://doi.org/10.1175/BAMS-D-20-0057.1

opencc-by-sa-4.0Sep 2024View details →

Figure 1. Collection localities, 1 in First report of two ark shells, Anadara consociata (E.A. Smith, 1885) and A. troscheli (Dunker, 1882) (Arcidae: Anadarinae) from Indian waters with notes on morpho-taxonomy of some related species from east coast of India

Figure 1. Collection localities, 1-Bokhali, 2-Sagar Island, 3-Junput, 4-Jalda (Tajpur), 5-Digha, 6-Udaypur & Talsari, 7-Chandipur, 8-Paradip, 9-Chandrabhaga, 10-Puri, 11-Chilka New Mouth, 12-Gopalpur, 13-Vishakhapatnam, 14-Kakinada, 15-Pulicat lake, 16-Chennai, 17-Rameswaram, 18-Tuticorin.

Figure 5. a-b in First report of two ark shells, Anadara consociata (E.A. Smith, 1885) and A. troscheli (Dunker, 1882) (Arcidae: Anadarinae) from Indian waters with notes on morpho-taxonomy of some related species from east coast of India

Figure 5. a-b,Mosambicarca erythraneonensis (Jonas in Philippi, 1851), a-exterior of left valve, b- interior of left valve, c-d, Tegillarca granosa (Linnaeus, 1758); c- exterior of right valve, d- internal view of right valve; e-f, T. nodifera (Martens, 1860); e-exterior of left valve, f- interior of left valve; g-h, T. rhombea (Born, 1778); g-exterior of left valve, h-interior of left valve.

Figure 4. a-g,A in First report of two ark shells, Anadara consociata (E.A. Smith, 1885) and A. troscheli (Dunker, 1882) (Arcidae: Anadarinae) from Indian waters with notes on morpho-taxonomy of some related species from east coast of India

Figure 4. a-g,A. troscheli (Dunker, 1882); a-b, interior right & left valve, c- exterior right valve, d- umbo, e- anterior, f- posterior & g- ventral view of shell.

Figure 2. a-b in First report of two ark shells, Anadara consociata (E.A. Smith, 1885) and A. troscheli (Dunker, 1882) (Arcidae: Anadarinae) from Indian waters with notes on morpho-taxonomy of some related species from east coast of India

Figure 2. a-b,Anadara antiquata (Linnaeus, 1758); a- exterior of right valve, b- interior of right valve; c-e, A. consociata (E.A. Smith, 1885), c- exterior of left valve, d- interior of left valve & e- dorsal view of umbo; f-g, A.eherenbergi (Dunker, 1868), f- exterior of left valve, g- interior of left valve.

Figure 3. a-b,A in First report of two ark shells, Anadara consociata (E.A. Smith, 1885) and A. troscheli (Dunker, 1882) (Arcidae: Anadarinae) from Indian waters with notes on morpho-taxonomy of some related species from east coast of India

Figure 3. a-b,A. ferriginea (Reeve, 1844), a- exterior of left valve, b- exterior of right valve; c-e, A. inaequivalvis (Bruguière, 1789); c-exterior of left valve, d- exterior of left valve & left valve overlapping the right valve along postero-ventral region, e- umbo; f-g, A. pilula (Reeve, 1843); f- exterior of right valve, g- interior of right valve.

opencc-by-4.0Nov 2024View details →

Most Super-Earths Have Less Than 3% Water: Mass-Radius Relations

Mass-radius relations for rocky super-Earths, related to the models constructed in "Most Super-Earths Have Less Than 3% Water" by James G. Rogers, Caroline Dorn, Vivasvaan Aditya Raj, Hilke E. Schlichting, and Edward D. Young. We provide two .csv files for the scenarios of super-Earths with and without outgassed mantles, respectively. Each file contains planet masses and radii (measured in Earth units) under the scenario of stripped and retained steam atmospheres. These are provided for a range in total water mass fractions (X_H2O) and equilibrium temperature (Teq). Note that all models have an Earth-like 32.5 % iron-core mass fraction. The water mass fractions of stripped models are less than that of retained atmospheres. To extract a single mass-radius relation for a desired scenario, filter a file for planets of a given (retained) water mass fraction and equilibrium temperature.

opengpl-2.0-or-laterNov 2021View details →

Data and codes related to the article: Renard et al. A Hidden Climate Indices Modeling Framework for Multi-Variable Space-Time Data. Water Resources Research.

This package contains data and codes related to the article: B. Renard, M. Thyer, D. McInerney, D. Kavetski, M. Leonard and S. Westra.  A Hidden Climate Indices Modeling Framework for Multi-Variable Space-Time Data. Water Resources Research. R scripts The main computations of the paper have been performed using a computing code named <a href="https://github.com/STooDs-tools">STooDs</a>, which is called using the bash script launchpad.sh. The R scripts in this package only perform pre-processing (create configuration files) and post-processing (analyze results) steps. <ul> <li>Funk.R: a set of functions called by other scripts.</li> <li>1_defineModel.R: define the model to be inferred and create STooDs configuration files in dataset_XXX/runs.</li> <li>2_analyzeResults.R: analyze the outputs of STooDs runs.</li> <li>3_crossValidation.R: analyze the outputs of cross-validation experiments in dataset_XV and dataset_XV_1971-1990.</li> </ul> Data Data for the 3 cases (full dataset and 2 cross-validation experiments) are located in folders dataset_XXX/data. <ul> <li>dat.txt: raw dataset in text format.</li> <li>dataset.RData: dataset in RData format.</li> <li>DMI.txt, NINO.txt, SAM.txt: 3 standard climate indices.</li> <li>spaceP.txt, spaceQ.txt, spaceT.txt: properties of Precipitation (P), Streamflow (Q) and Temperature (T) stations.</li> <li>[only for cross-validation experiments] validation.RData: left-out data used for validation.</li> </ul>

opencc-by-4.0Oct 2017View details →

MADFORWATER: WP1: Water and water-related vulnerabilities in Egypt, Morocco and Tunisia: Task1.2: Analysis and mapping of water stress, water vulnerability and potential for water reuse in Egypt, Morocco and Tunisia: Subtask1.2.b: Data collection on water stress and vulnerability: Souss-Massa Region Subset

This folder contains the dataset that I used to write my conference paper "Groundwater Resources Scarcity in Souss-Massa Region and Alternative Solutions for Sustainable Agricultural Development"

opencc-by-4.0Mar 2024View details →

Time series of electrical conductivity, temperature and relative stream stage recorded in surface water and streambed sediments of River Erpe and River Gruendlach, Germany

<a href="../api/records/13336325/draft/files/temp_EC_timeseries.csv/content" target="_blank" rel="noopener noreferrer">temp_EC_timeseries.csv</a>: Time series of electrical conductivity (mS cm-1), temperature (degC) and relative stream stage (cm) recorded in the surface water and in streambed sediments (depth in cm) of River Erpe and River Gruendlach, Germany.   <a href="../api/records/13336325/draft/files/porewater_ec_timeseries.csv/content" target="_blank" rel="noopener noreferrer">porewater_ec_timeseries.csv</a>: Time series of electrical conductivity (mS cm-1), temperature (degC), relative stream stage (cm) and total pressure (hPa) recorded in the surface water and in streambed sediments (depth in cm) of River Erpe and River Ammer, Germany, and the Sturt River, South Australia.

opencc-by-4.0Aug 2024View details →

Data: Plant-water relations of the genus Ocotea in Monteverde, Costa Rica

Study Site and Species: This study was conducted in a fragmented tropical pre-montane wet forest on the Pacific slope of the Cordillera de Tilarán mountains near Monteverde, Costa Rica (10.302379, -84.809142) between February and June 2010. We monitored plant-water relations on understory saplings of three evergreen tree species from the genus Ocotea (Lauraceae), including O. monteverdensis, O. whitei, and O. tenera. The terminal height and diameter at breast height of each individual was measured once at the start of the study. Climate: To characterize climate, bulk precipitation (S-RGB tipping bucket, Onset Corporation, Bourne, MA), photosynthetically active radiation (PAR; S-LIA sensor, Onset Corporation, Bourne, MA), and vapor pressure deficit (VPD; S-THB temperature and relative humidity sensor, Onset Corporation, Bourne, MA) were logged at a 20 min interval using a meteorological station (Hobo MicroStation, Onset Corporation, Bourne, MA) set 1.5 m above ground in an open field ~200 m2 in size approximately 500 m from the site (10.3248°, -84.820047°, 1415 m asl). Soil Moisture: Simultaneous to monthly measurements of plant-water relations, soil moisture was measured (n = 10 observations per month) as a percent across 0-20 cm soil depth (Hydrosense, Campbell Scientific, Logan, UT). Plant-Water Relations: Pre-dawn (before 06:00) and midday (around 12:00) measurements of leaf water potential were measured using a pressure chamber (SAPS, Soil Moisture, Goleta, CA) on a monthly basis on the same 5 individuals of each species between February and June 2010. In February 2010, water potential measurements were also collected every 2 hrs for a 24-hr period to characterize diurnal patterns. Leaf pressure volume curves and stomatal conductance measurements are also available upon request.  These data are made available as formatted for PSInet: A global water potential network (https://psinetrcn.github.io/) Funding was provided by a National Geographic Society Young Explorers Grant to G.R. Goldsmith.

opencc-zeroJan 2024View details →

Linked collectors and determiners for: New Neotropical and Nearctic species of water beetles in the genera Hydraena Kugelann and Ochthebius Leach, a key to North American genera and subgenera of the family, new distribution records, and a synopsis of ecology, behavior and morphology related to aquatic life (Coleoptera: Hydraenidae).

Natural history specimen data linked to collectors and determiners held within, "New Neotropical and Nearctic species of water beetles in the genera Hydraena Kugelann and Ochthebius Leach, a key to North American genera and subgenera of the family, new distribution records, and a synopsis of ecology, behavior and morphology related to aquatic life (Coleoptera: Hydraenidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/35ec0e5e-a604-44cc-a20f-67222171030d">https://bionomia.net/dataset/35ec0e5e-a604-44cc-a20f-67222171030d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/35ec0e5e-a604-44cc-a20f-67222171030d">https://gbif.org/dataset/35ec0e5e-a604-44cc-a20f-67222171030d</a>. Formatted as a Frictionless Data package.