The following information is to support groundwater recharge efforts coordinated by the California Department of Water Resources, State Water Resources Control Board, and Department of Fish and Wildlife.

A brief outline of the changes users can expect from the Assessor's open data offerings.

Groundwater recharge indicates the existence of renewable groundwater resources and is therefore an important component in sustainability studies. However, recharge is also one of the least understood, largely because it varies in space and time and is difficult to measure directly. For most studies, only a relatively small number of measurements is available, which hampers a comprehensive understanding of processes driving recharge and the validation of hydrogeological model formulations for small- and large-scale applications. We present a new global recharge dataset encompassing >5000 locations. In order to gain insights into recharge processes, we provide a systematic analysis between the dataset and other global-scale datasets, such as climatic or soil-related parameters. Precipitation rates and seasonality in temperature and precipitation were identified as the most important variables in predicting recharge. The high dependency of recharge on climate indicates its sensitivity to climate change. We also show that vegetation and soil structure have an explanatory power for recharge. Since these conditions can be highly variable, recharge estimates based only on climatic parameters may be misleading. The freely available dataset offers diverse possibilities to study recharge processes from a variety of perspectives. By noting the existing gaps in understanding, we hope to encourage the community to initiate new research into recharge processes and subsequently make recharge data available to improve recharge predictions.

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Analysis of effect of hindlimb suspension and reloading on C57Bl/6 mouse soleus muscle. Experimental groups examined: -Control mice 14 days -Hindlimb suspension for 7 days -Hindlimb suspension for 7 days and subsequent reloading for 1 day -Hindlimb suspension for 7 days and subsequent reloading for 7 days

Comprehensive dataset containing 33 verified Reload-Solution Charging Station locations in Germany with complete contact information, ratings, reviews, and location data.

All data needed to evaluate the conclusions of the paper "A Global Assessment of Groundwater Recharge Response to Infiltration Variability at Monthly to Decadal Timescales" are provided. The data compiled and used in this study is available as well as the script to reproduce figures and carry out the calculations.

Relative-gravity surveys were carried out using a ZLS Burris relative-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data. Instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Absolute-gravity surveys were carried out using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. Vertical gradients between the different measuring heights of the absolute- and relative-gravity meters were measured using a relative-gravity meter and fully-adjustable tripod, and used to correlate the measurements between the two instruments. Relative-gravity differences and absolute-gravity data were combined using a least-squares network adjustment, as implemented in the software GSadjust (https://doi.org/10.5066/P9YEIOU8). Information about the network adjustment is provided under Data Quality in the metadata.

This dataset comprises a map of groundwater recharge for Africa and a database of the 134 observations used to generate the map. The map shows long term average annual groundwater recharge in mm per annum relevant to the period 1970 to 2020. It is in the form of a GIS shapefile and is available as a layer package for ESRI and also as a georeferenced TIFF and BIL file for easy exchange with other software. The database contains 134 sites for which ground based observations for groundwater recharge are available. These 134 sites are from previously published material and have gone through a QA procedure and been accurately geolocated to be included in the dataset. For each record there is a latitude, longitude, recharge estimate, recharge range, time period for the measurement; scale for which the estimate is made, methods used, a confidence rating and reason for this rating, and the reference from where the data originate. In addition, the database includes for each observation information from other continental datasets including: climate data, landcover, aquifer type, soil group and the normalized difference vegetation index (NDVI).

Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given and data on retracted papers (based on Retraction Watch database) as well as citations to/from retracted papers have been added. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2024 and single recent year data pertain to citations received during calendar year 2024. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (7) is based on the August 1, 2025 snapshot from Scopus, updated to end of citation year 2024. This work uses Scopus data. Calculations were performed using all Scopus author profiles as of August 1, 2025. If an author is not on the list, it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, see attached file on FREQUENTLY ASKED QUESTIONS. Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429a

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Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The Rapid Refresh (RAP) numerical weather model took the place of the Rapid Update Cycle (RUC) on May 1, 2012. Run by the National Centers for Environmental Prediction (NCEP), RAP runs with two versions. The first generates weather data on a 13-km (8-mile) resolution horizontal grid and the second, the High-Resolution Rapid Refresh (HRRR), generates data down to a 3-km (2-mile) resolution grid for smaller regions of interest. RAP forecasts are generated every hour with forecast lengths going out 18 hours with a 1 hour temporal resolution. Multiple data sources go into the generation of RAP forecasts: commercial aircraft weather data, balloon data, radar data, surface observations, and satellite data. This dataset contains a 13 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

California's Groundwater Update 2013: A Compilation of Enhanced Content for California Water Plan Update 2013 compiles and analyzes readily-available groundwater information to characterize California’s groundwater basins, aquifers, and well infrastructure.

Hydrogeologists at the Survey developed a groundwater management tool to help guide land-use decisions in Dane County. The publication describes the inputs used to calculate recharge and includes a reduced-scale version of the recharge map. A full-scale version of the recharge data has been subsequently added as Dataset 1.

Recharge data for Hawaii Island in shapefile format. The data are from the following sources:

Whittier, R.B and A.I. El-Kadi. 2014. Human Health and Environmental Risk Ranking of On-Site Sewage Disposal systems for the Hawaiian Islands of Kauai, Molokai, Maui, and Hawaii - Final, Prepared for Hawaii Dept. of Health, Safe Drinking Water Branch by the University of Hawaii, Dept. of Geology and Geophysics.

Oki, D. S. 1999. Geohydrology and Numerical Simulation of the Ground-Water Flow System of Kona, Island of Hawaii. U.S. Water-Resources Investigation Report: 99-4073.

Oki, D. S. 2002. Reassessment of Ground-water Recharge and Simulated Ground-Water Availability for the Hawi Area of North Kohala, Hawaii. U.S. Geological Survey Water-Resources Investigation report 02-4006.

Geolocated data of [ Bélib' ] charging points for electric vehicles - Electric Vehicle Charging Infrastructure (IRVE) in service or under test for imminent commissioning.

The council of Paris has voted the awarding of a service concession to a new operator, Total Marketing France (TMF), for the technical and commercial operation of public charging stations in Paris.

The network of old Autolib' terminals is replaced by new terminals. The end of this deployment is scheduled for January 2022.

This dataset is updated daily.

This dataset is compliantto the Schema.data.gouv.fr specifications of the exchange file relating to data concerning the geographical location and the technical characteristics of stations and charging points for electric vehicles.

It is therefore compatible with the National Access Point specifications of transport.data.gouv.fr

The dataset is enriched with some specific City of Paris fields identified in the description of the data model below.

A field"

Information on electric charging in Paris

"https://belib.paris/home" target="_blank">Page Belib'< /a>

You can also find real-time availability here: "https://parisdata.opendatasoft.com/explore/ dataset/belib-charging-points-for-electric-vehicles-availability-real-time/table/?disjunctive.status" target="_blank">Belib' - Charging points for electric vehicles - Real-time availability

At the bottom of this notice is the data schema definition.

NB: To retrieve the "technical" fields as defined in < span style="font-size: 12.0pt;font-family:Arial, sans-serif;; color:#337AB7;mso-fareast-language:FR">schema.data.gouv.fr, the CSV file is available in the export tab of the dataset.

To retrieve the technical labels of the column headers from the CSV, it must be specified in the export URL at the time of download, by setting "use_labels_for_header" to "< /span>false ".

Link to normalized CSV filtered on "in use"