Ecole des Ponts ParisTech

All data stand for the year 2012 The IOT_Val_ARG file gives the input-output table in millions of pesos for 19 sectors The IOT_Qtities_ARG file gives the input-output table in quantities for 19 sectors. The energy sectors are in ktoe, and the others in "pseudo-quantities". The IOT_Prices_ARG file gives the unitary prices that are consistent with IOT in volume and value for intermediate consumption, final consumption, production and imports. The IOT_CO2Emis_ARG gives the energy-consumption related emissions in MtCO2 for intermediate consumption and final consumption.

Plastic transport from land to sea may be non-linear with a great influence of tides and wind, in particular downstream. We thus performed tracking of plastic waste using GPS-trackers sealed into floating plastic bottles. Those data are discussed in the following paper: "Transfer dynamic of macroplastics in estuaries – New insights from the Seine estuary: Part 2. Short term dynamic based on GPS-trackers" in Marine Pollution Bulletin. This dataset gathers .csv files each coresponding to a trajectory recorded in the Seine river. Each file name is set as follows: dd_mm_yy_Macroplast_ENPC_GPS IMEI-City. The date and the city are the time and the location of release. ENPC for Ecole National des Ponts et Chaussées (one of the partner institution, with UPEC). Half-submerged and floating bottles were used in pairs to identify changes in trajectories related to windage. To rely each bottle, i.e. each .csv file, to its respective buoyancy, please refer to the research paper. Data show that 100% plastic debris strand somewhere along their way to the Sea. But, they are frequently remobilized, espacially by tides in the estuary. They can be transported upstream and deposited again. Those processes may greatly delay the transfer of plastics from land to Sea. Increasing the residence time of plastics in rivers may also increase the probability of fragementation into microplastics. Since the probability of stranding is 100% and the time spent stranded up to three times higher than the time spent in water, cleaning riverbanks constitutes the best curative solution to tackle the marine pollution accordingly. Because cleaning rivers from macroplastics with prevention policies and curative actions is far easier than cleaning the open ocean from the resulting microplastics. Data might also be used to constrain modelisation on plastic transport to take into account the stranding/remobilization processes and then better constrain global estimation of plastic input into the Ocean.

- The IOT_KSA_Val file gives the input-output table in thousands of Riyals for 13 sectors. - The IOT_KSA_Qtities gives the input-output table in quantities for 13 sectors. The energy sectors are in ktoe, the cement and petrochemical sectors in tons, and the others in "pseudo-quantities". - The IOT_KSA_Prices gives the unitary prices that are consistent with IOT in volume and value for intermediate consumption, final consumption, production, and imports. - Income_Distribution gives the secondary income distribution among the represented institutional agents in thousands of Riyals. - The IOT_KSACO2Emis gives the energy-consumption related emissions in KtCO2 for intermediate consumption and final consumption.

Original data for Supplementary Videos 1 and 2 of "Contactless probing of polycrystalline methane hydrate at pore scale suggests weaker tensile properties than thought" by Datig et al., Nature Comm. 2020. The data are video microscopy recordings during an experiment designed to form a polycrystalline methane hydrate halo, which is subsequently subjected to tensile stress using a contactless thermal method. Video 1: Under constant gas pressure of 15 MPa, the temperature is lowered at -5 K/min, followed by an annealing stage at -23.5 °C, and finally the temperature is raised at +0.2 K/min. Video 2: Under constant gas pressure of 15 MPa, the temperature is lowered at -5 K/min, followed by an annealing stage at -5 °C, and finally the temperature is raised at +0.2 K/min.

In order to evaluate negative citations in articles and comments on PubPeer as mechanisms for correcting science, we have built up a corpus of articles associated with retraction or correction notices. As we are interested in citations, we focus here on articles with at least 1 citation according to Scite database, that is 45,811 articles.

This data includes micropollutant concentrations evaluated in untreated road runoff, water drained from a biofiltration swale, water drained from a vegetative filter strip and the filter media from the biofiltration swale produced on the Compans study site as a part of the Roulépur research project. Sampling and analytical methods are detailed in Field performance of two biofiltration systems treating micropollutants from road runoff and Retention and transport processes of particulate and dissolved micropollutants in stormwater biofilters treating road runoff. Basic characteristics of sampled rain events are provided in "Rain event characteristics," while locations of soil sample collection within the biofiltration swale are provided in the "Location of BFS soil samples."

This dataset has been used for experiments presented in the following paper Ermakova L, Bordignon F, Turenne N, Noel M (to be published in 2018) "Is the abstract a mere teaser? Evaluating generosity of article abstracts in environmental sciences" Frontiers in Research Metrics and Analytics. Those data result from the GEM score calculation for 36,237 abstract/article pairs retrieved from the ISTEX database. They have been enriched with values coming from Scopus (citations), JournalMetrics (subject areas) and oaDOI (Open access status). GEM Score = Generosity Measure

Compression test results: pellet modulus, pellet strength and maximal displacement for axial and radial directions (Fig. 8 and Fig 9. in article).

Original data for Supplementary Videos of "Enhancing Spontaneous Droplet Motion on Structured Surfaces with Tailored Wedge Design" by Wang et al., Adv. Mater. Interfaces. 2020 (doi: 10.1002/admi.202000520). The data are video recordings during experiments designed to verify the proposed theoretical model on prediction of spontaneous droplet movement on patterned surfaces with straight and curved wedges. The designed wedges can be described by the profile functions y = 0.009775 x^2 + 0.01534 x − 0.03014 (in mm, "curved wedge") and y = tan (3°)x + 0.2661 (in mm, "straight wedge"). – video “curve 5ul” compares the motion of 5 ml droplets placed on the curved wedge at three positions x0 away from the wedge tip; – video “curve x0 4.7mm” compares the motion of droplets of volume 3, 4 and 5 ml placed on the curved wedge at x0= 4.7 mm from the wedge tip; – video “straight 5ul” compares the motion of 5 ml droplets placed on the straight wedge at three positions x0 away from the wedge tip; – video “straight x0 6.0mm” compares the motion of droplets of volume 3, 4 and 5 ml placed on the straight wedge at x0= 6.0 mm from the wedge tip.

The IOT_FranceVal file gives the input-output table in thousands of euro for 29 sectors The IOT_FranceQtities gives the input-output table in quantities for 29 sectors. The energy sectors are in ktoe, the cement and steel and iron sectors in tons, and the others in "pseudo-quantities". The IOT_FrancePrices gives the unitary prices that are consistent with IOT in volume and value for intermediate consumption, final consumption, production and imports. The IOT_FranceCO2Emis gives the energy-consumption related emissions in MtCO2 for intermediate consumption and final consumption.