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755 results for “Amsterdam”
Amsterdam Investigator-initiateD Absorb Strategy All-comers Trial
ClinicalTrials.gov study NCT01858077. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Validation of the German Version of the Amsterdam Instrumental Activities of Daily Living Questionnaire®
ClinicalTrials.gov study NCT04012398. IPD Sharing: NO. Countries: 1. Publications: 1.
Protocoled Quantitative Assessment of Aortic Regurgitation Using Videodensitometry in a Multicontinental Trial in Rotterdam, Montreal, Yamaguchi, Segeberg, Amsterdam.
ClinicalTrials.gov study NCT03644784. IPD Sharing: NO. Countries: 5. Publications: 1.
PAclitaxel-eluting Balloon in Primary PCI in Amsterdam; Pilot Study
ClinicalTrials.gov study NCT01274728. IPD Sharing: Not stated. Countries: 1. Publications: 16.
The Nijmegen-Leiden-Amsterdam 2-tiered Care Path Study
ClinicalTrials.gov study NCT05712603. IPD Sharing: NO. Countries: 1. Publications: 22.
Data from: Low prevalence of methicillin-resistant Staphylococcus aureus among men who have sex with men attending an STI clinic in Amsterdam, a cross-sectional study
Open the record for dataset details and reuse information.
CO2 sequestration by olivine for three different applications in Knowledge Mile Park, Amsterdam
<p>The concentration of atmospheric CO<sub>2</sub> is still increasing according to numerous projections of future greenhouse gas emissions. Nations must make every effort to achieve the target of keeping the global average temperature to below 2 ̊C above pre-industrial levels, agreed on in the Paris Agreement. A relatively new and promising geo-engineering approach to possibly combat this worldwide problem is the use of olivine ((Mg,Fe)<sub>2</sub>SiO<sub>4</sub>). During the weathering process of olivine, carbon dioxide (CO<sub>2</sub>) is extracted from the atmosphere and converted to insoluble carbonate minerals, consequently reducing the atmospheric CO<sub>2</sub> concentration. This research aim is to investigate whether olivine can be effectively implemented and within environmental safety boundaries in the Knowledge Mile Park, a project in commission of the Municipality of Amsterdam, to sequester atmospheric CO<sub>2</sub> in three scenarios i.e. tree sand, green rooftop substrate and footpath substrate. With the Olivine Weathering and CO<sub>2</sub> Sequestration model and PNEC-pro V6, the dissolution and CO<sub>2</sub> sequestration rate of olivine were examined and the released nickel concentration with the effects on various plant and aquatic species was analysed. Green rooftop substrate was identified as the most effective possible scenario in terms of the magnitude of CO<sub>2</sub> binding in 40 years that can be implemented in the Knowledge Mile Park remaining within the safety boundaries of environmental and ecotoxicological effects. To deepen the knowledge on olivine applications, further research should incorporate practical experimental work based on the modelled input of this report.</p>
d5-6-assessment-of-impacts-amsterdam
<p>Data output from the tool set application for the assessment of the environmental (emissions, carbon footprint, ambient air concentrations), health (exposure and health effects), and economic impacts (e.g. health-related costs).</p> <ul> <li><strong>Amsterdam shapefile</strong><br> file: amsterdam.7z<br> Shapefile with the urban scale domain over Amsterdam with 25 km x 20 km</li> <li><strong>2_AMS_Agriculture_baseline</strong><br> file: claircity_agricultureemissions_ams_jan2019.pdf<br> Emissions (in kg/year) were based on EMEP emission inventory for agriculture and livestock at 0.1x0.1 degrees resolution (~ 10 km) for the year 2015 disaggregated for the urban domain of Amsterdam by farms, meadows, vineyards land uses classified in the Open Street Map database</li> <li><strong>3_AMS_Air Quality_Baseline (mesoscale/NO2 concentrations</strong><br> file: no2_2010010100_2010123123_lcc.png<br> Annual NO2 average concentrations (µg/m^3) from WRF-CAMx modelling system, for the mesoscale domain D2.</li> <li><strong>3_AMS_Air Quality_Baseline (mesoscale/PM10 concentrations</strong><br> file: pm10_2010010100_2010123123_lcc.png<br> Annual PM10 average concentrations (µg/m^3) from WRF-CAMx modelling system, for the mesoscale domain D2.</li> <li><strong>3_AMS_Air Quality_Baseline (mesoscale/PM2.5 concentrations)</strong><br> file: pm2.5_2010010100_2010123123_lcc.png<br> Annual PM2.5 average concentrations (µg/m^3) from WRF-CAMx modelling system, for the mesoscale domain D2.</li> <li><strong>3_AMS_Air Quality_Baseline (urban scale/ NO2 concentrations)</strong><br> file: ams_aq2app_no2.txt<br> Annual NO2 average concentrations from URBAIR model</li> <li><strong>3_AMS_Air Quality_Baseline (urban scale/ PM10 concentrations)</strong><br> file: ams_aq2app_pm10.txt<br> Annual PM10 average concentrations from URBAIR model</li> <li><strong>3_AMS_Air Quality_Baseline (urban scale/PM2.5 concentrations)</strong><br> file: ams_aq2app_pm2.txt<br> Annual PM2.5 average concentrations from URBAIR model</li> <li><strong>6_AMS_CarbonFootprint_Baseline</strong><br> file: ech.ma.15-fr2-wp5-carbon-footprint-ed2.pdf<br> Carbon footprint methodologies and estimation for the baseline year for Amsterdam</li> <li><strong>3_AMS_Air Quality_Baseline (mesoscale-report)</strong><br> file: ams_mesoscale.pdf<br> This report provides an overview of the modelling approach used to characterize the air quality in the Amsterdam region, which includes a detailed description of the air quality modelling system WRF-CAMx (section 1.1.) and a description of the methodology applied to evaluate the model performance (section 1.2.). It also includes results of concentration fields and a source apportionment for NO2, PM10 and PM2.5.</li> <li><strong>3_AMS_Air Quality_Baseline (urbanscale-report)</strong><br> file: ams_aq_urbanscale_report.pdf<br> This report provides a brief overview oh the methodology used. It presents an analysis of concentration fields for NO2, PM10, PM2.5 of the total and by modeled sectors, it also includes an analysis of the source contribution and for the maximum values.</li> <li><strong>2_AMS_IRCI_baseline</strong><br> file: ech.ma.15-fr1-wp5-irc-ed5.3.pdf</li> <li><strong>2_AMS_IRCI_Scenarios</strong><br> file: ech.ma.15-fr3-wp5-irc-future-ed5.pdf</li> <li><strong>2_AMS_temporal_profiles</strong><br> file: ams-daily_hourlytd_res_comm_emi.xlsx<br> Temporal profiles of Amsterdam's residential sector and commercial sector scale in %: Daily emissions, typical days emissions and hourly typical days emissions of PM10 and NOX variables.</li> <li><strong>2_AMS_Transport_source_apportionment</strong><br> file: 191125_adam_v2.xlsx<br> describes the share of road transport emissions by behavior-properties and population properties. Pure data & pivot-table for easy use: male/female 3 income-classes 5 age groups 3 car-ownership groups (0, 1, 2 or more) Time of day: morning-, evening peak, midday and night Type of day (weekend/weekday) Motive: 6 classes mode:</li> <li><strong>2_AMS_Transport_baseline_map</strong><br> file: roadnetwork_ams.zip<br> The road network - link with emissions using "linkID"</li> <li><strong>2_AMS_Transport_baseline_emissions</strong><br> file: ams_emissions.zip<br> Part 2 of 2 files that make the Amsterdam transport emissions baseline: total emissions per link in .csv per pollutant (NOx, PM non-exhaust and PM): To be linked to the road network file using the identifier "uniqueID" format: first column: link-ID (link with shapefile of the road network) second column: pollutant (PM, PM non-exhaust or NOx) third column: mode ("BESTEL"= van or light freight, "MIDZWVR" = medium freight, "MOTOR" = motorcycles, "OVBUS" = bus, "PERSAUTO" = passenger cars, "ZWAARVR" = heavy freight columns D-AY: hourly intervals for weekday ("WD") and weekend ("WE") all units in g</li> <li><strong>2_AMS_transport_scenarios</strong><br> file: copy-of-190429_adam_scenario_results_summary_v2.xlsx<br> This data-set reflects the relative changes of road transport emissions in different years and scenario's compared to the baseline. 2 sets of scenario's are given, one per tab: "SDW": BAU & scenario's established in the stakeholder dialogue workshop "UPS": updated BAU (if applicable) & final Unified Policy Scenario (UPS) selected in the policy workshop. reported for 3 future years compared to the 2015 baseline: 2025, 2035 and 2050 reported for NOx & PM for 6 modes: "MIDZWR": medium truck "ZWVR": heavy truck "BUS": busses "MOTO": motorcycles "CAR": passenger cars "VAN": light freight, assumed to be a mix of passenger cars and medium trucks all units: %</li> <li><strong>5_AMS_health_scenarios</strong><br> file: summary_results_ams.xlsx<br> Health-related impacts (selected mortality and morbidity endpoints) related to exposure to PM2.5, NO2, and PM10, considering concentration-response functions and baseline concentrations recommended by WHO.</li> <li><strong>5_AMS_health_statistics</strong><br> file: ams_health-analysis.xlsx<br> demographics and population data to calculate the health statistics</li> <li><strong>3_AMS_NO2_AQ_latlong</strong><br> file: ams_no2_latlong.rar<br> The shapefile includes total NO2 concentrations (µg/m^3) , as well as concentrations by sector (transport, shipping, IRCI and industrial). Coordiante system: WGS1984</li> <li><strong>3_AMS_PM2_AQ_latlong</strong><br> file: ams_pm2_latlong.rar<br> The shapefile includes total PM2 concentrations (µg/m^3) , as well as concentrations by sector (transport, shipping, IRCI and industrial). Coordiante system: WGS1984</li> <li><strong>3_AMS_PM10_AQ_latlong</strong><br> file: ams_pm10_latlong.rar<br> The shapefile includes total PM10 concentrations (µg/m^3) , as well as concentrations by sector (transport, shipping, IRCI and industrial). Coordiante system: WGS1984</li> <li><strong>6_AMS_CarbonFootprint_Scenarios</strong><br> file: ech.ma.15-fr4-wp5-carbon-footprint-future-ed3-.pdf<br> Carbon footprint business as usual and scenario projections for Amsterdam</li> <li><strong>3_AMS_Air Quality_Baseline (mesoscale/SourceApportionment)</strong><br> file: ams_psat.xlsx<br> Time series of daily average contributions for each source group for PM10, PM2.5 and NO2 concentrations from WRF-CAMx modelling system with the SA tool, for the Amsterdam urban area.</li> <li><strong>3_AMS_Air Quality Scenarios_urban scale NO2 matrix</strong><br> file: ams_no2_scenarios.mat<br> Annual NO2 average concentrations (µg/m^3) from URBAIR model, considering the impact of all scenarios in all the emission sectors: transport, industrial and IRCI, together with the background concentrations. The file contains X, Y coordinates, together with the total annual average concentrations for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.</li> <li><strong>3_AMS_Air Quality Scenarios_ urban scale PM10 matrix</strong><br> file: ams_pm10_scenarios.mat<br> Annual PM10 average concentrations (µg/m^3) from URBAIR model, considering the impact of all scenarios in all the emission sectors: transport, industrial and IRCI, together with the background concentrations. The file contains X, Y coordinates, together with the total annual average concentrations for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.</li> <li><strong>3_AMS_Air Quality Scenarios_urban scale PM2 matrix</strong><br> file: ams_pm2_scenarios.mat<br> Annual PM2.5 average concentrations (µg/m^3) from URBAIR model, considering the impact of all scenarios in all the emission sectors: transport, industrial and IRCI, together with the background concentrations. The file contains X, Y coordinates, together with the total annual average concentrations for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.</li> <li><strong>4_AMS_Exposure_EU_Baseline NO2 matrix</strong><br> file: ams_no2_exposureeu_baseline.mat<br> Population potentially exposed to the annual NO2 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 40 ug/m^3 for the baseline year.</li> <li><strong>4_AMS_Exposure_EU_Baseline PM10 matrix</strong><br> file: ams_pm10_exposureeu_baseline.mat<br> Population potentially exposed to the annual PM10 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 40 ug/m^3 for the baseline year.</li> <li><strong>4_AMS_Exposure_WHO_Baseline PM10 matrix</strong><br> file: ams_pm10_exposurewho_baseline.mat<br> Population potentially exposed to the annual PM10 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the WHO annual guideline value of 20 ug/m^3 for the baseline year.</li> <li><strong>4_AMS_Exposure_EU_Baseline PM2 matrix</strong><br> file: ams_pm2_exposureeu_baseline.mat<br> Population potentially exposed to the annual PM2.5 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 25 ug/m^3 for the baseline year.</li> <li><strong>4_AMS_Exposure_WHO_Baseline PM2 matrix</strong><br> file: ams_pm2_exposurewho_baseline.mat<br> Population potentially exposed to the annual PM2.5 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the WHO annual guideline value of 10 ug/m^3 for the baseline year.</li> <li><strong>4_AMS_Exposure_EU_Scenarios NO2 matrix</strong><br> file: ams_no2_exposureeu_scenarios.mat<br> Population potentially exposed to the annual NO2 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 40 ug/m^3 for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.</li> <li><strong>4_AMS_Exposure_EU_Scenarios PM10 matrix</strong><br> file: ams_pm10_exposureeu_scenarios.mat<br> Population potentially exposed to the annual PM10 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 40 ug/m^3 for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.</li> <li><strong>4_AMS_Exposure_WHO_Scenarios PM10 matrix</strong><br> file: ams_pm10_exposurewho_scenarios.mat<br> Population potentially exposed to the annual PM10 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the WHO annual guideline value of 20 ug/m^3 for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.</li> <li><strong>4_AMS_Exposure_EU_Scenarios PM2 matrix</strong><br> file: ams_pm2_exposureeu_scenarios.mat<br> Population potentially exposed to the annual PM2.5 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the EU annual legal limit value of 25 ug/m^3 for BAU scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.</li> <li><strong>4_AMS_Exposure_WHO_Scenarios PM2 matrix</strong><br> file: ams_pm2_exposurewho_scenarios.mat<br> Population potentially exposed to the annual PM2.5 average concentrations. The file contains X, Y coordinates, together with the total number of inhabitants, and the total number of inhabitants in each grid cell with an annual concentration exceeding the WHO annual guideline value of 10 ug/m^3 for BAU, scenarios, low and high ambition scenarios from the SDW, as well as the FUPS for the time-window 2025, 2035, and 2050.</li> </ul>
TEM_Amsterdam
Open the record for dataset details and reuse information.
SPACK : spatio-temporal database dedicated to whaling, sealing and fishing in Saint-Paul, Amsterdam, Crozet and Kerguelen Islands between 1780's and 1930's
<p><strong>SPACK is a spatio-temporal database dedicated to whaling, sealing and fishing history</strong>. It aims to gather miscellaneous and scattered sources about whaling, sealing and fishing voyages that visited Saint-Paul, Amsterdam, Crozet and Kerguelen Islands between 1780’s and 1930’s.</p> <p>SPACK has been defined and populated during a PhD thesis in history. The main purpose is to assess the attendance of whaling, sealing and fishing ships around the French Southern Islands from the late 18th century. The goal is also to shed light on the issues arising from the first public policies for managing natural resources once French sovereignty was affirmed in the late 19th.</p> <p>The data collected in SPACK are stored in the object-relational database, PostgreSQL, plus its spatial extension PostGIS. This repository can be used to create a new instance of the SPACK database. It contains 7 SQL files that represent the main tables of the SPACK model.</p> <p>- attested_presence_areas: this table shows the dates on which the vessel is present in the area.</p> <p>- code_areas: this table indicates the codes used to identify each covered area.</p> <p>- code_sealing_gangs: this table shows the code used to indicate when a gang of hunters has been dropped off or relieved on shore by the ship.</p> <p>- natural_resources: this table provides the codes used to classify vessel activity by 'area'.</p> <p>- shipment_origin: this table lists the codes for the main shipowner's geographical origin.</p> <p>- stop_over_voyages: this table describes the date of arrival and departure by 'area'. It also indicates the degree of interpolation of the data, month or day.</p> <p>- voyages_areas: this table contains a list of vessels involved in whaling, fishing and sealing activities that crossed Saint-Paul, Amsterdam, Crozet or/and Kerguelen islands. It provides information such as vessel name, rig type, tonnage, port, shipment origin, natural resource exploited, agent, dates of presence, primary and secondary sources.</p> <p>The main entity of this database is a ship attached to a voyage and a geographical area. This entity is described by a set of properties: ship’s and master’s names, geographical origin, shipowner, port, arrival and departure dates. Those data are featured in the voyages_areas table. The database also provides other helpful information, such as the dates of attendance on the island, the type of natural resource exploited and the sources used to identify a voyage.</p> <p>The SPACK database takes profit from the Whaling History Database (<a href="https://whalinghistory.org/">https://whalinghistory.org/</a>). It does not contain any data imported from WHDB, but it is still possible to link the two sources. Indeed, the voyages_areas table stores the identifier used by the WHDB to describe each voyage.</p> <p>The WHDB provides the vessel's location in lat/lon for several voyages. Those locations have been processed to populate the voyages_areas table and check when a voyage crossed a study area: Saint-Paul, Amsterdam, Crozet or Kerguelen Islands. However, no spatial information is saved in the SQL files. You can contact the authors if you want more information about the spatial analysis techniques used.</p>
Linked collectors and determiners for: University of Amsterdam (NL) - Páramo pollen reference collection.
Natural history specimen data linked to collectors and determiners held within, "University of Amsterdam (NL) - Páramo pollen reference collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1edaeec2-9fdf-48d2-a459-2bb8635e9aba">https://bionomia.net/dataset/1edaeec2-9fdf-48d2-a459-2bb8635e9aba</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1edaeec2-9fdf-48d2-a459-2bb8635e9aba">https://gbif.org/dataset/1edaeec2-9fdf-48d2-a459-2bb8635e9aba</a>. Formatted as a Frictionless Data package.
Figure 1. Asterocheres genodon Stock, 1966 in Redescription of five Asterocheres species (Copepoda: Siphonostomatoida) and a description of a new species discovered in the collections of the Zoological Museum of Amsterdam
Figure 1. Asterocheres genodon Stock, 1966, holotype (female). (A) Antennule; (B) maxillule.
Figure 4 in Redescription of five Asterocheres species (Copepoda: Siphonostomatoida) and a description of a new species discovered in the collections of the Zoological Museum of Amsterdam
Figure 4. Asterocheres hoi, sp. nov. (female). (A) Leg 1; (B) leg 2; (C) leg 3; (D) leg 4.
Wednesday 6 May 2020: Digital Methods for Web History (Anne Helmond, University of Amsterdam)
<p>Wednesday 6 May 2020: Digital Methods for Web History (Anne Helmond, University of Amsterdam)</p>
Amsterdam Stool Scale: Usefulness in Clinical Setting
ClinicalTrials.gov study NCT02252718. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bust. Rijksmuseum Amsterdam
Bust of lady Rijksmuseum Museum, Amsterdam. Details missing. (contribution of details welcome) Source: Objaverse 1.0 / Sketchfab
Amsterdam UMC Clinical Trial With a Native-like HIV-1 Envelope Vaccine
ClinicalTrials.gov study NCT03961438. IPD Sharing: YES. Countries: 1. Publications: 0.
TBI Project Amsterdam
ClinicalTrials.gov study NCT01720979. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PRagmatic Study Of Messaging to Providers of Patients With Heart Failure in Amsterdam UMC
ClinicalTrials.gov study NCT06344910. IPD Sharing: YES. Countries: 1. Publications: 0.
Cohort of Hepatitis B Research of Amsterdam
ClinicalTrials.gov study NCT01462981. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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