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Dryad Translation missing: fr.blacklight.search.logo
2020-10-27 <p>When the reproductive interests of males and females conflict, males can evolve traits that are harmful to females, and females can coevolve traits to resist this harm. In the fruit fly, <i>Drosophila melanogaster</i>, there is genetic variation in female resistance traits, which can affect the pre- and post-mating success of males that try to mate with them. However, it is not clear to what extent the expression of these phenotypes can be modified by environmental factors such as sociosexual experience. Here, we tested how the genetic background of a female and her previous mating experience interact to affect the mating success of focal males. In the experience phase, we placed females from 28 distinct genetic backgrounds individually either with a single male (low conflict) or with three males (high conflict) for 48 hours. In the subsequent test phase, we measured the mating and post-mating fertilization success of focal males paired individually with each female. We found that focal males paired with females from the high conflict treatment were less successful at mating, took longer to mate when they were successful, and had a lower proportion of paternity share. Furthermore, we identified significant female genetic variation associated with male mating success. These results indicate that female experience, along with intrinsic genetic factors, can independently influence different fitness components of her subsequent mates and has implications for our understanding of plastic female mating strategies and the evolution of sexually antagonistic traits in males and females.</p> https://creativecommons.org/publicdomain/zero/1.0/
City of Calgary Open Data Portal Translation missing: fr.blacklight.search.logo
2018-05-24 The data represented in this map are 2-way volumes collected from spring to fall between 2007 & 2012. The data came from a variety of sources, and 6 hour counts were factored to 16 hours using screenline data. https://data.calgary.ca/d/Open-Data-Terms/u45n-7awa
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2019-07-30 This dataset contains the location (the approximate latitude/longitude of the enforcement zone's mid point), the number of tickets issues at the various speed ranges in excess of the enforce speed limit and the number of enforcement hours (Deployment Hours) by month of enforcement.
Open Data Canada Translation missing: fr.blacklight.search.logo
Government of Saskatchewan | Gouvernement de la Saskatchewan
2020-09-23 ROADSEG is one of the important layers for Saskatchewan Upgraded Road Network (SURN) and National Road Network (NRN). The ROADSEG is created to serve a diverse group of clients that require relatively up-to-date and accurate description of Saskatche ROADSEG contains all the features from HIGHWAY_OFFICIAL, RURAL_ROAD_OFFICIAL and OTHER_ROAD_OFFICIAL. ROADSEG is the Saskatchewan road network data that is being used by NRCAN as National Road Network (NRN). ROADSED data layer has been generated by merging HIGHWAY_OFFICIAL, RURAL_ROAD_OFFICIAL and OTHER_ROAD_OFFICIAL. Unique Identifiers (NID) is associated with each line segment. "NID" National Identifier is used to manage the updates between data producer and data users. ROADSEG data layer is one of the important data table for SURN, NRN, SASK911, CAR, SGI-iHaul and other applications. ROADSEG est l'une des couches importantes du réseau routier amélioré de la Saskatchewan (SURN) et du réseau routier national (RRN). Le ROADSEG a été créé pour servir un groupe diversifié de clients qui ont besoin d'une description relativement à jour et précise de la Saskatchewan. ROADSEG contient toutes les fonctionnalités de HIGHWAY_OFFICIAL, RURAL_ROAD_OFFICIAL et OTHER_ROAD_OFFICIAL. ROADSEG est le réseau routier de la Saskatchewan qui est utilisé par RNCAN en tant que réseau routier national (RRN). La couche de données ROADSED a été générée en fusionnant HIGHWAY_OFFICIAL, RURAL_ROAD_OFFICIAL et OTHER_ROAD_OFFICIAL. Des identificateurs uniques (NID) sont associés à chaque segment de ligne. L'identifiant national « NID » est utilisé pour gérer les mises à jour entre le producteur de données et les utilisateurs de données. La couche de données ROADSEG est l'une des tables de données importantes pour SURN, NRN, SASK911, CAR, SGI-iHaul et d'autres applications. ** Cet élément de métadonnées provenant d’une tierce partie a été traduit à l'aide d'un outil de traduction automatisée (Amazon Translate).** https://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdf
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2016-10-12 All Census information is as of April 1, 2016. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 50 are not posted to protect the information collected. Responses are voluntary consequently response rates vary among questions, neighbourhoods and wards.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2017-06-28 This was one single topic among many from the June 2017 Mixed Topic survey. To view the survey questions, click on the following link: https://www.edmontoninsightcommunity.ca/R.aspx?a=1768&as=xP76Ph5TP5&t=1 Open from June 13 - 20, 2017. At the time the survey was launched survey invitations were sent to 6766 Insight Community Members. 1750 members completed the survey which represents a completion rate of 26%. A total of 1779 respondents completed the survey: 1750 Insight Community Members and 29 using the anonymous link(s) which will have no demographic info. Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).
SuperDARN (FRDR) Translation missing: fr.blacklight.search.logo
Federated Research Data Repository / dépôt fédéré de données de recherche
2021-07-27 SuperDARN RAWACF files for the calendar year 2011. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator. https://creativecommons.org/licenses/by/4.0/
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2019-11-12 This dataset contains bicycle only or bicycle and pedestrian counts that are currently being monitored at 18 locations along the new bike lanes in addition to some key cyclist/.pedestrian traffic areas. Note: Within this data, it is possible that a full day's worth of data may be incomplete. This could be for a number of reasons, be it technical, environmental or equipment failure. Also, this data is raw data, coming straight from the monitoring equipment. It has not undergone the rigor of a Quality Control and/or Quality Assurance process.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2016-12-09 This was one single topic among many as part of the August 2016 Mixed Topic survey. To view the survey questions, click on the following link: https://www.edmontoninsightcommunity.ca/R.aspx?a=1169&as=ai7DD6n1hk&t=1 Open from August 9 - 16, 2016. At the time the survey was launched survey invitations were sent to 6491 Insight Community Members. 2147 members completed the survey which represents a completion rate of 33%. A total of 2149 respondents completed the survey: 2147 Insight Community Members and 2 using the anonymous link(s) which will have no demographic info. Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2019-01-24 Driver Feedback Sign DFS167 Latitude: 53.63335 Longitude: -113.48893 The City has a number of Driver Feedback Signs (DFS) installed around the city. These units collect data as traffic approaches them and in some cases may display a message or a speed that is being detected. Also, these units are radar based and can only track one vehicle at a time (strongest signal). Due to the number of DFS installations combined with the volume of data collected, each DFS has its own dataset. Details of how the data is collected by the DFS are as follows: - Data is accumulated and reported in 15 minute intervals - Vehicle speeds are captured/reported in speed intervals (bins) - Speed range/interval for the bins are determined by parameters/settings set for the DFS (Minimum/Maximum Speed Detection Setting) - Two speed values are recorded for every vehicle - a Highest Speed Detected and a Slowest Speed Detected (explaining why there are two vehicle counts) - The bins go from Bin 1 to Bin 10. Bin 1 can also be referred to a LO BIN and Bin 10 can also be referred to as HIGH BIN. Things to note: DFS devices are not to be used as or confused with traffic counters, as they are not. DFS devices have a minimum detectable speed of approximately 6 km/hr. DFS devices have a maximum (theoretical) detectable speed of approximately 225 km/hr. DFS devices are programmable with different parameters that can also follow a timed schedule.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2018-08-21 This survey was conducted to understand the current perceptions and behaviours of Edmontonians regarding climate change. It is a follow-up to a similar survey conducted in 2017: the Climate Perceptions Baseline Survey Data, Questionnaire and Final Report (2017). The survey was conducted from June 18, 2018 to June 24, 2018. The target audience were Edmontonians, 18 years or age or older. There were 1,000 survey respondents contacted. Attachments (on the Primer page, in the Attachment section): Column definitions can be found as an attachment to this dataset. A copy of the Survey can be found as an attachment to this dataset. A report of the Survey and its results can also be found as an attachment to this dataset.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2019-10-20 List of issued building permits from the City of Edmonton - Urban Planning & Economy Department for the public to do construction or maintenance on a structure located in the City. Note - All records start from January 1, 2009. Please note : the decision was made to not release applicant information on this dataset as it was seen as a potential privacy issue. For instance, if a high profile member of the public were to apply for a permit, their name (and consequently address) would show up on this table and become easily searchable by the public. We viewed this as a potential issue and decided to publish the dataset without applicant information.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2018-09-04 Driver Feedback Sign DFS129 Latitude: 53.5381 Longitude: -113.47025 The City has a number of Driver Feedback Signs (DFS) installed around the city. These units collect data as traffic approaches them and in some cases may display a message or a speed that is being detected. Also, these units are radar based and can only track one vehicle at a time (strongest signal). Due to the number of DFS installations combined with the volume of data collected, each DFS has its own dataset. Details of how the data is collected by the DFS are as follows: - Data is accumulated and reported in 15 minute intervals - Vehicle speeds are captured/reported in speed intervals (bins) - Speed range/interval for the bins are determined by parameters/settings set for the DFS (Minimum/Maximum Speed Detection Setting) - Two speed values are recorded for every vehicle - a Highest Speed Detected and a Slowest Speed Detected (explaining why there are two vehicle counts) - The bins go from Bin 1 to Bin 10. Bin 1 can also be referred to a LO BIN and Bin 10 can also be referred to as HIGH BIN. Things to note: DFS devices are not to be used as or confused with traffic counters, as they are not. DFS devices have a minimum detectable speed of approximately 6 km/hr. DFS devices have a maximum (theoretical) detectable speed of approximately 225 km/hr. DFS devices are programmable with different parameters that can also follow a timed schedule.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2018-11-16 Driver Feedback Sign DFS153 Latitude: 53.492236 Longitude: -113.635486 The City has a number of Driver Feedback Signs (DFS) installed around the city. These units collect data as traffic approaches them and in some cases may display a message or a speed that is being detected. Also, these units are radar based and can only track one vehicle at a time (strongest signal). Due to the number of DFS installations combined with the volume of data collected, each DFS has its own dataset. Details of how the data is collected by the DFS are as follows: - Data is accumulated and reported in 15 minute intervals - Vehicle speeds are captured/reported in speed intervals (bins) - Speed range/interval for the bins are determined by parameters/settings set for the DFS (Minimum/Maximum Speed Detection Setting) - Two speed values are recorded for every vehicle - a Highest Speed Detected and a Slowest Speed Detected (explaining why there are two vehicle counts) - The bins go from Bin 1 to Bin 10. Bin 1 can also be referred to a LO BIN and Bin 10 can also be referred to as HIGH BIN. Things to note: DFS devices are not to be used as or confused with traffic counters, as they are not. DFS devices have a minimum detectable speed of approximately 6 km/hr. DFS devices have a maximum (theoretical) detectable speed of approximately 225 km/hr. DFS devices are programmable with different parameters that can also follow a timed schedule.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2020-08-31 Free summer recreation programs (Green Shack, playground program, spray parks, skate parks, youth programs, Flying Eagle program) including location, program dates and times.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2017-04-28 This was one single topic among many from Part 1 of the April 2017 Mixed Topic survey. To view the survey questions, click on the following link: https://www.edmontoninsightcommunity.ca/R.aspx?a=1648&as=xx7tL0Sp4l&t=1 Open from April 11 - 18, 2017. At the time the survey was launched survey invitations were sent to 6762 Insight Community Members. 1564 members completed the survey which represents a completion rate of 23%. A total of 1573 respondents completed the survey: 1564 Insight Community Members and 9 using the anonymous link(s) which will have no demographic info. Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

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