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"We arrive in Accra, Gold Coast aboard a Pan-American Clipper. At six o'clock in the morning [it] was hot and humid." An aircraft from the Pan-American company that brought Eldred Echols and Boyd Reese, American missionaries from Churches of Christ, to Accra, Ghana. This photograph comes from an album that recounts Eldred Echols and Boyd Reese's visit to Nigeria in 1950. The Lawrence Avenue Church of Christ in Nashville, Texas asked the two missionaries to visit Nigeria and report on an emerging indigenous Christian movement whose leader participated in a Bible correspondence course run by the Tennessee congregation. Upon their arrival, the missionaries found several thousand Christians led by Coolidge Akpan Okon Essien, from the Efik tribe in Eastern Nigeria, whose doctrine and practice were similar to that of American Churches of Christ.

Arrivee du bateau de la Mission a Bougainville. - Archipel des Salomon." ("Arrival of the boat from the Mission at Bougainville. - Archipelago of Solomon.") In a wide bay, fifteen children wade in the shallow water near the shore while various adults stand on the land. A large boat is visible sailing toward the shore.; Postcard issued by "Missions des Peres Maristes en Oceanie," a Catholic missionary order. The back of the postcard is blank and contains information from the publisher: "Sous-Procure des Missions - 6, Rue de Bagneux, Paris VIe.

The railcar at the Bohicon train station ; Comment : Photograph taken during the travel of Rev. Jacques Maury, Chairman of the Reformed Church of France (��glise R��form��e de France - ERF) to Dahomey in 1969, with the PEMS missionary Marc Andr�� Ledoux and Mrs Benignus.

The Seattle Household Travel Survey Wave 5, 1994 is the fifth wave in a ten-part longitudinal panel survey of the travel patterns of households in the Puget Sound region of Washington state. The survey series was initiated in 1989 by the Puget Sound Council of Governments (now known as the Puget Sound Regional Council); wave 5 was conducted in 1994. This collection contains the fifth set of panel data for approximately 2,000 households in King, Kitsap, Pierce, and Snohomish counties. Due to various sources of attrition, approximately 20 percent of households need to be replaced for each survey wave. The survey relied on the willingness of study area residents to (1) provide demographic information about the household, its members, and its vehicles, (2) document all travel for each household member, aged 15 years or older, for an assigned 2-day period, and (3) agree to participate in additional survey waves. After an initial telephone screening, survey participants received mailed travel diaries to aid in documenting travel information for the 2-day assessment period. Respondents were instructed to record their mode of transportation, trip purpose, number of passengers, departure and arrival times, ride fare, and parking cost. Demographic information for this study includes age, gender, education, employment status, and household income. mail questionnaire; telephone interviewThe deposited study documentation for this wave did not include recruitment or retrieval questionnaires. Therefore, this collection has been minimally processed by ICPSR.Users may notice that study documentation refers to the "Puget Sound Transportation Panel". ICPSR has retained the "Seattle Household Travel Survey" title that was provided by the data depositor. No additional information was provided regarding the title discrepancy.For additional information on all waves of the Seattle Household Travel Survey, please visit the Metropolitan Travel Survey Archive Web site and the Puget Sound Regional Council Web site. The panel was undertaken to serve three basic objectives: (1) to be a metropolitan "current population survey" to track changes in employment, work characteristics, household composition, and vehicle availability; (2) to monitor changes in travel behavior and responses to changes in the transportation environment; and (3) to examine changes in attitudes and values as they affect mode choice and travel behavior. Information gained from the panel has aided long range transportation forecasting and analysis used in decisions regarding highway and road construction, transit development, and carpooling and parking policies. The data contain weight variables "HWGT" (Household weight) and "PWGT" (Person weight) that may be used in data analysis. For additional weighting information, please see the Original P.I. Documentation section of the ICPSR Codebook. Households within the four county Seattle region (King, Kitsap, Pierce, and Snohomish counties). Smallest Geographic Unit: census tract For information on sampling, please see the Original P.I. Documentation section of the ICPSR Codebook. Datasets: DS1: Seattle Household Travel Survey Wave 5, 1994

[A ship alongside the quay]

Cette collection fait maintenant partie du patrimoine, elle n'est plus maintenue. Elle pourrait ne pas respecter les normes actuelles du gouvernement. Les utilisateurs de l'Atlas du Canada à l'échelle nationale de 1/5 000 000 (publication du mai 2017) devraient envisager l'utilisation du nouveau produit CanVec. La série de Données de l'Atlas du Canada à l'échelle nationale de 1/5 000 000 comprend des jeux de données sur les limites, les côtes, les îles, les noms de lieux, les chemins de fer, les rivières, les routes, les traversiers et les étendues d'eau qui ont été compilés de manière à être utilisés dans des cartes à moyenne échelle (1/5 000 000 à 1/15 000 000) de l'atlas. Ces jeux de données ont été intégrés de sorte que leurs positions relatives soient correctes du point de vue cartographique. Toutes les données à l'extérieur du Canada comprises dans ces jeux de données s'y retrouvent strictement pour avoir le contexte global des données. This collection is a legacy product that is no longer maintained. It may not meet current government standards. Users of Atlas of Canada National Scale Data 1:5,000,000 (release of May 2017) should plan to make the transition towards the new CanVec product. The Atlas of Canada National Scale Data 1:5,000,000 Series consists of boundary, coast, island, place name, railway, river, road, road ferry and waterbody data sets that were compiled to be used for atlas medium scale (1:5,000,000 to 1:15,000,000) mapping. These data sets have been integrated so that their relative positions are cartographically correct. Any data outside of Canada included in the data sets is strictly to complete the context of the data.

"Mary Markley's Visit to Tsingtao and Tsimo, 1929" Three women missionaries are posed near a horse or donkey-drawn covered cart on a street with Chinese building in background.

1) Resume_Raw_Data.xlsx Is the resume of the primary data that was extracted from the Spanish electricity grid database in Megawatts. 2) Average_electrical_Available_2007-2019_in_Spain_in_Megawatt.xlsx The table contains the Average electrical demand per month during 2007-2019 in Spain in Megawatt 3) Average_electrical_Available_2007-2019_in_Spain_in_Megawatt.xlsx The table contains the Average electrical availability per month during 2007-2019 in Megawatt in Spain 4) EV_amount_recharged.xlsx The table contains the EV amount that can be recharged from 0 to 24 hours in Spain 5) Forecast_Average_electrical_demand_(Megawatt)_2020.xlsx The table contains the Forecast for Average electrical demand (Megawatt) per month during 2020 in Spain 6) Forecast_Average_electrical_demand_(Megawatt)_2021.xlsx The table contains the Forecast for Average electrical demand (Megawatt) per month during 2021 in Spain 7) Forecast_Average_electrical_demand_(Megawatt)_2022.xlsx The table contains the Forecast for Average electrical demand (Megawatt) per month during 2022 in Spain 8) Forecast_Average_electrical_demand_(Megawatt)_2023.xlsx The table contains the Forecast for Average electrical demand (Megawatt) per month during 2023 in Spain 9) Electrical_availability_forecast_(MW)_2020.xlsx The table contains the Electrical availability forecast (MW) from 0 to 24 h in 2020 in Spain 10) Electrical_availability_forecast_(MW)_2021.xlsx The table contains the Electrical availability forecast (MW) from 0 to 24 h in 2021 in Spain 11) Electrical_availability_forecast_(MW)_2022.xlsx The table contains the Electrical availability forecast (MW) from 0 to 24 h in 2022 in Spain 12) Electrical_availability_forecast_(MW)_2023.xlsx The table contains the Electrical availability forecast (MW) from 0 to 24 h in 2023 in Spain 13) EV_amount_forecast_recharged_simultaneously_2020.xlsx The table contains the EV amount forecast that can be recharged simultaneously from 0 to 24 hours in 2020 in Spain 14) EV_amount_forecast_recharged_simultaneously_2021.xlsx The table contains the EV amount forecast that can be recharged simultaneously from 0 to 24 hours in 2021 in Spain 15) EV_amount_forecast_recharged_simultaneously_2022.xlsx The table contains the EV amount forecast that can be recharged simultaneously from 0 to 24 hours in 2022 in Spain 16) EV_amount_forecast_recharged_simultaneously_2023.xlsx The table contains the EV amount forecast that can be recharged simultaneously from 0 to 24 hours in 2023 in Spain When using the data, you must quote the following article: Martínez-Lao, J., Montoya, F.G., Montoya, M.G., Manzano-Agugliaro, F. Electric vehicles in Spain: An overview of charging systems (2017) Renewable and Sustainable Energy Reviews, 77, pp. 970-983. DOI: 10.1016/j.rser.2016.11.239

Scenario description: The AD-vehicle receives parking command message (AutoPilot.VehicleCommand) containing the destination parking spot and the free obstacle route and drives from the drop-off position and parks to the destination parking spot. During the parking process the vehicle send two type of messages (AutoPilot.PositionEstimate and AutoPilot.VehicleAVPStatus) Session description: The dropoff scenario with DLR vehicle. DLR vehicle parks autonomously from the dropoff location to the selected parking spot at the parking area on DLR test area in Brunswick. Datasets descriptions: AUTOPILOT_BrainPort_AutomatedValetParking_DriverVehicleInteraction: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus, clutchstatus, brakestatus, brakeforce, wipersstatus, steeringwheel for the vehicle AUTOPILOT_BrainPort_AutomatedValetParking_DroneAvpCommand: Data sent from drone Dataset Description This dataset contains route information for a vehicle to a designated parking spot AUTOPILOT_BrainPort_AutomatedValetParking_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates AUTOPILOT_BrainPort_AutomatedValetParking_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates AUTOPILOT_BrainPort_AutomatedValetParking_IotVehicleMessage: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. AUTOPILOT_BrainPort_AutomatedValetParking_ParkingSpotDetection: Data sent from drone to parkingService Dataset Description This dataset contains informaton about detected parking spots AUTOPILOT_BrainPort_AutomatedValetParking_PositioningSystem: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS AUTOPILOT_BrainPort_AutomatedValetParking_PositioningSystemResampled: Data from GPS on the vehicle Dataset Description This dataset contains speed,longitude,latitude,heading from the GPS, resampled to 100 milliseconds AUTOPILOT_BrainPort_AutomatedValetParking_Vehicle: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles AUTOPILOT_BrainPort_AutomatedValetParking_VehicleAvpCommand: Data sent from ParkingService to vehicle Dataset Description This dataset contains route to parkingspot, and some other environmental information AUTOPILOT_BrainPort_AutomatedValetParking_VehicleAvpStatus: Data sent from vehicle to ParkingService Dataset Description This dataset contains information about the current status and parkingstatus of the vehicle AUTOPILOT_BrainPort_AutomatedValetParking_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors