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DataForAssessingSeasonalEffectsOnElectricityAndWaterForRepositoryThis Excel file contains data used to conduct a seasonal analysis to assess whether seasonal patterns exist in electricity use in dorms and whether these patterns differ by latitude. The first worksheet contains metadata.Fall 2010 Campus Conservation Nationals surveyThis online survey was administered to students attending colleges who participated in the Fall 2010 Campus Conservation Nationals competition. Not all schools who participated in the competition administered the survey.CCN_F10_survey.pdfSpring 2012 Campus Conservation Nationals surveyThis online survey was administered to students attending colleges who participated in the Spring 2012 Campus Conservation Nationals competition. Not all schools who participated in the competition administered the survey.CCN_Spring12_survey.pdfFall 10 Campus Conservation Nationals electricity, water, webhit, and commitment dataThis data file contains data at the dorm level collected by Lucid before, during, and after the Fall 2010 CCN competition. The first sheet contains metadata defining all variable names.Fall10_CCN_elec_water_webhits_commitments.xlsxSpring 2012 Campus Conservation Nationals electricity, water, and commitment dataThis data file contains data at the dorm level collected by Lucid before, during, and after the Spring 2012 CCN competition. The first sheet contains metadata defining all variable names.Spring12_CCN_elec_water_commitments_no.xlsxFall 10 CCN data aggregated at dorm level with psychological variablesThis data file contains data at the dorm level collected from our online survey and merged with the resource use data. The first sheet contains metadata defining all variable names.Fall10_CCN_dormagg_with_psych_variables.xlsxSpring 2012 CCN data with psychological variablesThis data file contains data at the dorm level collected from our online survey and merged with the resource use data. The first sheet contains metadata defining all variable names.Spring12__CCN_dormagg_with_psych_variables.xlsx “Campus Conservation Nationals” (CCN) is a recurring, nation-wide electricity and water-use reduction competition among dormitories on college campuses. We conducted a two year empirical study of the competition’s effects on resource consumption and the relationship between conservation, use of web technology and various psychological measures. Significant reductions in electricity and water use occurred during the two CCN competitions examined (n = 105,000 and 197,000 participating dorm residents respectively). In 2010, overall reductions during the competition were 4% for electricity and 6% for water. The top 10% of dorms achieved 28% and 36% reductions in electricity and water respectively. Participation was larger in 2012 and reductions were slightly smaller (i.e. 3% electricity). The fact that no seasonal pattern in electricity use was evident during non-competition periods suggests that results are attributable to the competition. Post competition resource use data collected in 2012 indicates that conservation behavior was sustained beyond the competition. Surveys were used to assess psychological and behavioral responses (n = 2,900 and 2,600 in 2010 and 2012 respectively). Electricity reductions were significantly correlated with: web visitation, specific conservation behaviors, awareness of the competition, motivation and sense of empowerment. However, participants were significantly more motivated than empowered. Perceived benefits of conservation were skewed towards global and future concerns while perceived barriers tended to be local. Results also suggest that competitions may be useful for “preaching beyond the choir” – engaging those who might lack prior intrinsic or political motivation. Although college life is distinct, certain conclusions related to competitions, self-efficacy, and motivation and social norms likely extend to other residential settings.

We simulated an experimental summer storm in large-volume (~1200 m3, ~16m depth) enclosures in Lake Stechlin by mixing deeper water masses from the meta- and hypolimnion into the mixed layer (epilimnion). The mixing included the disturbance of a deep chlorophyll maximum (DCM) which was present at the same time of the experiment in Lake Stechlin and situated in the metalimnion of each enclosure during filling. Copepod and Cladocera biomass was monitored for 42 days after the experimental disturbance event (Utermöhl counting at 60x magnification and biomass calculation from length-dry mass relationships). Sampling was performed using a 90 µm mesh size Apstein-cone. Method: 90 µm mesh size Apstein-cone, Utermöhl counting at 60x, TSO image analysis program (KIO VIDMESS-2011, Version 2.60.50, including a TSO-KST1003832 camera, TSO - Thalheim-Spezial-Optik-Gerätebau, Pulsnitz, Germany), biomass calculations from length-dry mass relationships (Bottrell et al. 1976; Kasprzak 1983).Further Project information:Core Facility grant; Award: GE 1775/2-1

This data publication contains research data associated with the European Union's Horizon 2020 REFLECT project which aims to obtain data relevant to the production of geothermal waters at extreme conditions. Results given here are part of REFLECT deliverable 2.2: Report on gas solubility and degassing kinetic (type C). A link to the deliverables of this project is given below as reference. It contains experimental results from the degassing process of CO2-water mixtures at conditions relevant to the production of geothermal waters with a specific focus on high salinity fluids.

At each station, seawater was collected for trace metals sampling at 20 m depth using a Teflon pump (Furon®) with a 40 m Teflon tube connected with a AcroPakTM 1500 capsule w/Supor Memb 0.8/0.2 μm filter. The pump was left to pump to rinse the inner hose and 1 L sample was collected in LDPE bottles (NALGENE) and stored at -20oC until the land-based laboratory analysis. The material was previously cleaned following the trace metals GEOTRACES protocol and the experiments were done in Class 100 clean laboratory or trace metal analysis (QUIMA- IOCAG TM lab).

Large-scale reforestation can potentially bring both benefits and risks to the water cycle, which needs to be better quantified under future climates to inform reforestation decisions. We identified 477 water-insecure basins worldwide accounting for 44.6% (380.2 Mha) of the global reforestation potential. As many of these basins are in the Asia-Pacific, we used regional coupled land-climate modelling for the period 2041–2070 to reveal that reforestation increases evapotranspiration and precipitation for most water-insecure regions over the Asia-Pacific. This resulted in a statistically significant increase in water yield (p < 0.05) for the Loess Plateau-North China Plain, Yangtze Plain, Southeast China and Irrawaddy regions. Precipitation feedback was influenced by the degree of initial moisture limitation affecting soil moisture response and thus evapotranspiration, as well as precipitation advection from other reforested regions and moisture transport away from the local region. Reforestation also reduces the probability of extremely dry months in most of the water-insecure regions. However, some regions experience non-significant declines in net water yield due to heightened evapotranspiration outstripping increases in precipitation, or declines in soil moisture and advected precipitation. This dataset contains raw data outputs for Teo et al. (2022), Global Change Biology. Please see the published paper for further details on methods. For enquiries, please contact the corresponding authors: hcteo [at] u.nus.edu or lianpinkoh [at] nus.edu.sg.  Shapefiles can be opened with any GIS program such as ArcMap or QGIS. CSV files can be opened with any spreadsheet program such as Microsoft Excel or OpenOffice.

The data included in the file were collected and processed for calculation of evaporation rate using bilayered photothermal structures

A set of environmental variables have been collected for a period of 7 consecutive years (2016-2022, from April/May to September/October, during the glacial melting season) along a longitudinal transect of the Saldur stream, a near pristine glacier-fed stream located in South Tyrol, Italy (46°N, 10° E), part of the International Long Term Ecological Research (ILTER) network (site code: LTER_EU_IT_100). From year 2016 on, a small run-of-river (ROR) hydropower plant (max. 3,200 kW/year) started to operate on the stream, located in close proximity to site Saldur_2A. The potential impact on the riverine ecosystem was largely investigated, and resulted to be negligible. Extensive details on this topic can be found reading the scientific publications: Scotti et al. (2022; doi:10.3389/fenvs.2022.902603) and Scotti et al. (2022; doi:10.3389/fenvs.2022.904547).The environmental variables measured (as spot-measurement) were: suspended solids (mL/L); specific conductance at 25° C (mS/cm), water temperature (°C), calculation of the bottom component of the Pfankuch index. Whilst only in 2018 turbidity (NFU) was measured instead of suspended solids, and all the measurements were conducted using a multiparameter meter (HI9829, Hanna Instruments), for all the remaining years suspended solids were measured after 30 minutes of water sedimentation in a Imhoff cone, and specific conductance through a portable conductimeter (Cond 7, XS Instruments). More methodological details can be found in Scotti & Bottarin (2021; doi:10.1038/s41597-021-00887-x).

The data describes plant gas exchange dynamics (CO2, H2O) together with online proton transfer reaction mass spectrometry measurements of biogenic volatile organic compound emissions of Pinus halepensis seedlings exposed to two similar heatwaves together with drought and a recovery period. Measured in a scientific glasshouse facility at KIT IMK-IFU Garmisch-Partenkirchen, Germany, via an automated chamber setup. #0 means "Inf"