Find research datasets worth reusing

opencc-by-4.0May 2024View details →

Amsterdam - Hout Gracht 56

Coordinates: N/A Length: 13.71 m Width: 11.16 m Height: 20.58 m Vertices: 1972 Primitives: 1606 The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file. Main Files: <table><tbody><tr><th>Filename</th><th>.xml</th><th>.glb</th><th>.obj</th><th>.mtl</th><th>.zip</th></tr><tr><td><a href="https://zenodo.org/api/records/12750585/files/textures.zip/content">textures.zip</a></td><td></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12750585/files/textures.zip/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56.obj/content">Hout_gracht_56.obj</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56.obj/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56.glb/content">Hout_gracht_56.glb</a></td><td></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56.glb/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56.mtl/content">Hout_gracht_56.mtl</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56.mtl/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12750585/files/11252443_edm.xml/content">11252443_edm.xml</a></td><td><a href="https://zenodo.org/api/records/12750585/files/11252443_edm.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12750585/files/11252443_metsmods.xml/content">11252443_metsmods.xml</a></td><td><a href="https://zenodo.org/api/records/12750585/files/11252443_metsmods.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr></tbody></table> Thumbnails: <table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12750585/files/Hout_gracht_56_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table> Changelog:   - v<a href="https://doi.org/10.5281/zenodo.11482838">0.0.2</a>: Thumbnails added, Description updated with Link Tables.   - v<a href="https://doi.org/10.5281/zenodo.12750585">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.

opencc-by-4.0Nov 2022View details →

Golden Agents - Coördinaten Personen/Locaties Notarieel Archief Amsterdam

Dataset met coördinaatgegevens (op een scan) van aktes en de personen en locaties daarin uit het Amsterdamse Notariële archief. Deze dataset bevat een bewerkte versie van de exports van het VeleHanden-indexeringsproject Alle Amsterdamse Akten (<a href="https://alleamsterdamseakten.nl/">https://alleamsterdamseakten.nl/</a>). De data zijn voorzien van URI's op persoonsnamen en records zoals deze in de huidige index op het notarieel archief die beheerd wordt door het Stadsarchief Amsterdam ook kunnen worden aangetroffen (<a href="https://archief.amsterdam/indexen/persons?f=%7B%22search_s_register_type_title%22:%7B%22v%22:%22Notari%C3%ABle%20archieven%22%7D%7D">https://archief.amsterdam/indexen/persons?f=%7B%22search_s_register_type_title%22:%7B%22v%22:%22Notari%C3%ABle%20archieven%22%7D%7D</a>). De exports zijn voor het laatst in het najaar van 2022 geactualiseerd. Belangrijke bewerkingen die in deze dataset kunnen worden aangetroffen en die momenteel niet in de reguliere Stadsarchief-index zijn opgenomen, zijn: <ul> <li>Coördinaten (xy) op de scan van de begin- en eindmarkeringen die de documenteenheid (de akte) aanduiden zijn opgenomen;</li> <li>Locatienamen en hun locatie op de scan (xywh) .</li> </ul> De huidige index levert deze gegevens (xywh kaders) wel mee voor persoonsnamen, maar voor de volledigheid zijn ook zij in deze repository opgenomen. Door opname van scannamen en vooral coördinaten zou deze dataset het bijvoorbeeld gemakkelijker moeten maken om documentherkenning en entiteitsextractie mogelijk te maken op scans van akten waarvan ook HTR beschikbaar is (zie <a href="https://transkribus.eu/r/amsterdam-city-archives">https://transkribus.eu/r/amsterdam-city-archives</a>) en <a href="https://gitlab.com/readcoop/webdev/public-docs/-/blob/master/read-and-search/API-README.md">https://gitlab.com/readcoop/webdev/public-docs/-/blob/master/read-and-search/API-README.md</a>). Voor meer informatie, zie de README.md of bekijk de repository op Github: https://github.com/knaw-huc/golden-agents-notarial-coordinates/

opencc-by-4.0Dec 2022View details →

Spatial distribution of housing rental value in Amsterdam 1647-1652

This dataset visualises the spatial distribution of the rental value in Amsterdam between 1647 and 1652. The source of rental value comes from the Verponding registration in Amsterdam. The verponding or the ‘Verpondings-quohieren van den 8sten penning’ was a tax in the Netherlands on the 8th penny of the rental value of immovable property that had to be paid annually. In Amsterdam, the citywide verponding registration started in 1647 and continued into the early 19th century. With the introduction of the cadastre system in 1810, the verponding came to an end. The original tax registration is kept in the Amsterdam City Archives (Archief nr. <a href="https://archief.amsterdam/inventarissen/details/5044/withscans/0/findingaid/5044/start/0/limit/10/flimit/5">5044</a>) and the four registration books transcribed in this dataset are Archief 5044, inventory  <a href="https://archief.amsterdam/inventarissen/scans/5044/33.2/start/0/limit/10/highlight/2">255</a>, 273, <a href="https://archief.amsterdam/inventarissen/scans/5044/33.28/start/0/limit/10/highlight/4">281</a>, <a href="https://archief.amsterdam/inventarissen/scans/5044/33.31/start/0/limit/10/highlight/4">284</a>. The verponding was collected by districts (wijken). The tax collectors documented their collecting route by writing down the street or street-section names as they proceed. For each property, the collector wrote down the names of the owner and, if applicable, the renter (after ‘per’), and the estimated rental value of the property (in guilders). Next to the rental value was the tax charged (in guilders and stuivers). Below the owner/renter names and rental value were the records of tax payments by year. This dataset digitises four registration books of the verponding between 1647 and 1652 in two ways. First, it transcribes the rental value of all real estate properties listed in the registrations. The names of the owners/renters are transcribed only selectively, focusing on the properties that exceeded an annual rental value of 300 guilders. These transcriptions can be found in Verponding1647-1652.csv. For a detailed introduction to the data, see Verponding1647-1652_data_introduction.txt. Second, it geo-references the registrations based on the street names and the reconstruction of tax collectors’ travel routes in the verponding. The tax records are then plotted on the historical map of Amsterdam using the first cadaster of 1832 as a reference. Since the geo-reference is based on the street or street sections, the location of each record/house may not be the exact location but rather a close proximation of the possible locations based on the street names and the sequence of the records on the same street or street section. Therefore, this geo-referenced verponding can be used to visualise the rental value distribution in Amsterdam between 1647 and 1652. The preview below shows an extrapolation of rental values in Amsterdam. And for the geo-referenced GIS files, see Verponding_wijken.shp. GIS specifications: Coordination Reference System (CRS): Amersfoort/RD New (ESPG:28992) Historical map tiles <a href="https://images.diginfra.net/webmapper/maps/berckenrode/{z}/{x}/{y}.png">URL</a> (From <a href="https://tiles.amsterdamtimemachine.nl/#16/52.3691/4.8935">Amsterdam Time Machine</a>)   NB: This verponding dataset is a provisional version. The georeferenced points and the name transcriptions might contain errors and need to be treated with caution. Contributors <ul> <li>Historical and archival research: Weixuan Li, Bart Reuvekamp</li> <li>Plotting of geo-referenced points: Bart Reuvekamp</li> <li>Spatial analysis: Weixuan Li</li> <li>Mapping software: QGIS</li> <li>Acknowledgements: Virtual Interiors project, Daan de Groot</li> </ul>

opencc-by-4.0Dec 2022View details →

Golden Agents - Amsterdam Corporate Group Portraits

The Amsterdam Corporate Group Portraits dataset contains biographical information on persons depicted on institutional/corporate group portraits in the seventeenth and eighteenth century in Amsterdam. The dataset is part of the <a href="https://goldenagents.org/">Golden Agents</a> project. The original data were collected by Norbert Middelkoop and published as attachment to his dissertation <a href="https://hdl.handle.net/11245.1/509fbcc0-8dc0-44ae-869d-2620f905092e">Schutters, gildebroeders, regenten en regentessen</a> (2019). The Golden Agent project took his data and heavily structured these, so that they could be used in the project's infrastructure infrastructure. We kept the original structure of the dataset, so that we separate information on: <ul> <li>Corporate group portraits (visual works)</li> <li>Poorters [=Burghers] (persons)</li> <li>Regentessen [=Regents (F)] (persons)</li> <li>Regenten [=Regents (M)] (persons)</li> <li>Gildenleden [=Guild members] (persons)</li> </ul> For all the persons, if available, we modelled information on their name, the portrait they are depicted on, when they were a regent or churchmaster, when they were a member of the civic guards (schutterij), when they were a member of a guild, and when they were a member of the city council. Besides this, we added information on their birth and death date, and their marriages. Through linksets (see the <a href="https://github.com/knaw-huc/golden-agents-amsterdam-corporate-group-portraits/blob/master/linksets/README.md">linkset documentation</a>) we linked the persons to Wikidata and to among others the <a href="https://archief.amsterdam/">Amsterdam City Archives</a>. These linksets also serve as a way to link the persons to other datasets in the Golden Agents project. This release marks the stable version of this data at the end of the Golden Agents project (2016-2022).

opencc-by-nc-sa-4.0Jun 2023View details →

Heatwaves characterization derived from observations and climate projections to assess thermal behavior of 7 European city-hubs: Milano, Athens, Logroño, Cork, Gdynia, Lillestrøm and Amsterdam (1981-2100)

This dataset includes the processing results used to create the interactive climate service <a href="https://thermal-assessment.urban.tecnalia.dev/">Thermal Assessment Tool</a>. It provides frequency and severity of heatwaves under past, current and future climate conditions which allows to estimate the thermal behavior of regions and cities in Europe during episodes of extreme heat. A heatwave is typically defined as a “prolonged” period of “extremely high” temperature for a particular region or location. In REACHOUT, “prolonged” is defined by a period of two or more days and “extremely high” is determined per region when daily maximal temperature exceeds its threshold (95th percentile) and the daily minimum temperature exceeds its threshold (90th percentile). The percentiles were obtained considering the values of maximum and minimum temperatures of the region during the summer season of the baseline period of 1981 to 2010. To provide homogeneous data for the whole EU, the input variables used to generate this dataset come from the public, independent and authoritative <a href="https://climate.copernicus.eu/">Copernicus Climate Change Service</a> (C3S). For the observations the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-gridded-observations-europe?tab=overview">e-OBS</a> dataset is used and for the future projections the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/projections-cordex-domains-single-levels?tab=overview">EURO-CORDEX</a> dataset. The intermediate (RCP4.5) and very high (RCP8.5) emissions scenarios were considered. All the data was downloaded from the <a href="https://cds.climate.copernicus.eu/">Copernicus Climate Data Store</a> (CDS). The database is organized in three datasets: Regional_eobs_thresholds_Reachout.csv: contains the thresholds that were used to detect the heatwaves for each region. They were calculated considering the values of maximum and minimum temperatures during the summer season of the baseline period (1981-2010). The columns are: <ul> <li>region: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li>tmax: daily maximum temperature threshold.</li> <li>tmin: daily minimum temperature threshold.</li> </ul> Historical_eobs_heatwaves_Reachout.csv: heatwaves of the historical period (1981-2021) for each region. The columns are: <ul> <li>region: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li>start: first date of the heatwave.</li> <li>tmax: maximum temperature reached during the heatwave.</li> <li>intensity: the sum of the degrees of the maximum and minimum temperatures over their corresponding thresholds.</li> <li>duration: duration of the heatwave.</li> </ul> Future_and_baseline_eobs_heatwaves_Reachout.csv: ensemble future projections of heatwaves. The columns are: <ul> <li>hazard_level: it can be a warning, an alert or an alarm.</li> <li>region: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li>experiment: emission scenario. It can be baseline, rcp-4-5 or rcp-8-5.</li> <li>period: it can be 1981-2010 for the baseline or 2011-2040, 2021-2050, 2031-2060, 2041-2070, 2051-2080, 2061-2090 or 2071-2100 for the future.</li> <li>decade_frequency: decade mean frequency. In the case of the future this is the ensemble of the models.</li> <li>decade_frequency_best: only applicable to the future. It determines the best projection among the models.</li> <li>decade_frequency_worst: only applicable to the future. It determines the worst projection among the models.</li> <li>year_days: average annual days.</li> <li>year_tmax_intensity: the average annual degrees of the maximum temperature over its corresponding threshold.</li> <li>year_tmin_intensity: the average annual degrees of the minimum temperature over its corresponding threshold.</li> </ul>

opencc-by-nc-sa-4.0Jun 2023View details →

Heatwaves characterization derived from reanalysis and climate projections to assess thermal behavior of 7 European city-hubs: Milano, Athens, Logroño, Cork, Gdynia, Lillestrøm and Amsterdam (1981-2100)

This dataset includes the processing results used to create the interactive climate service <a href="https://thermal-assessment.urban.tecnalia.dev/">Thermal Assessment Tool</a>. It provides frequency and severity of heatwaves under past, current and future climate conditions which allows to estimate the thermal behavior of regions and cities in Europe during episodes of extreme heat. A heatwave is typically defined as a “prolonged” period of “extremely high” temperature for a particular region or location. In REACHOUT, “prolonged” is defined by a period of two or more days and “extremely high” is determined per region when daily maximal temperature exceeds its threshold (95th percentile) and the daily minimum temperature exceeds its threshold (90th percentile). The percentiles were obtained considering the values of maximum and minimum temperatures of the region during the summer season of the baseline period of 1981 to 2010. To provide homogeneous data for the whole EU, the input variables used to generate this dataset come from the public, independent and authoritative <a href="https://climate.copernicus.eu/">Copernicus Climate Change Service</a> (C3S). For the reanalysis the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview">ERA5-Land</a> dataset is used and for the future projections the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/projections-cordex-domains-single-levels?tab=overview">EURO-CORDEX</a> dataset. The intermediate (RCP4.5) and very high (RCP8.5) emissions scenarios were considered. All the data was downloaded from the <a href="https://cds.climate.copernicus.eu/">Copernicus Climate Data Store</a> (CDS). The database is organized in three datasets: Regional_era5land_thresholds_Reachout.csv: contains the thresholds that were used to detect the heatwaves for each region. They were calculated considering the values of maximum and minimum temperatures during the summer season of the baseline period (1981-2010). The columns are: <ul> <li>region: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li>tmax: daily maximum temperature threshold.</li> <li>tmin: daily minimum temperature threshold.</li> </ul> Historical_era5land_heatwaves_Reachout.csv: heatwaves of the historical period (1981-2021) for each region. The columns are: <ul> <li>region: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li>start: first date of the heatwave.</li> <li>tmax: maximum temperature reached during the heatwave.</li> <li>intensity: the sum of the degrees of the maximum and minimum temperatures over their corresponding thresholds.</li> <li>duration: duration of the heatwave.</li> </ul> Future_and_baseline_era5land_heatwaves_Reachout.csv: ensemble future projections of heatwaves. The columns are: <ul> <li>hazard_level: it can be a warning, an alert or an alarm.</li> <li>region: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li>experiment: emission scenario. It can be baseline, rcp-4-5 or rcp-8-5.</li> <li>period: it can be 1981-2010 for the baseline or 2011-2040, 2021-2050, 2031-2060, 2041-2070, 2051-2080, 2061-2090 or 2071-2100 for the future.</li> <li>decade_frequency: decade mean frequency. In the case of the future this is the ensemble of the models.</li> <li>decade_frequency_best: only applicable to the future. It determines the best projection among the models.</li> <li>decade_frequency_worst: only applicable to the future. It determines the worst projection among the models.</li> <li>year_days: average annual days.</li> <li>year_tmax_intensity: the average annual degrees of the maximum temperature over its corresponding threshold.</li> <li>year_tmin_intensity: the average annual degrees of the minimum temperature over its corresponding threshold.</li> </ul>

opencc-by-4.0Jul 2023View details →

Modeling abrupt excursions in water vapor isotopic variability during cold fronts at the Pointe Benedicte observatory in Amsterdam Island / Model dataset

ECHAM6wiso and LMDZ6iso simulations, and python script analyzing model outputs, associated with the article : <ul> <li>Amaelle Landais, Cécile Agosta, Françoise Vimeux, Olivier Magand, Cyrielle Solis, Alexandre Cauquoin, Niels Dutrievoz, Camille Risi, Christophe Leroy Dos Santos, Elise Fourré, Olivier Cattani, Bénédicte Minster, Frédéric Prié, Mathieu Casado, Aurélien Dommergue, Yann Bertrand, and Martin Werner (submitted to <a href="https://www.atmospheric-chemistry-and-physics.net/">Atmospheric Chemistry and Physics</a>, 2023) Modeling abrupt excursions in water vapor isotopic variability during cold fronts at the Pointe Benedicte observatory in Amsterdam Island.</li> </ul> If you use the data or the python script, please cite the last version of this article available on <a href="https://www.egusphere.net/">https://www.egusphere.net/</a> or <a href="https://acp.copernicus.org/">https://acp.copernicus.org/</a>. Please also cite the articles related to the model simulations: <ul> <li> Risi, C., Bony, S., Vimeux, F., and Jouzel, J.: Water-stable isotopes in the LMDZ4 general circulation model: Model evaluation for present-day and past climates and applications to climatic interpretations of tropical isotopic records, Journal of Geophysical Research Atmospheres, 115, https://doi.org/10.1029/2009JD013255, 2010. </li> <li> Cauquoin, A. and Werner, M.: High-Resolution Nudged Isotope Modeling With ECHAM6-Wiso: Impacts of Updated Model Physics and ERA5 Reanalysis Data, Journal of Advances in Modeling Earth Systems, 13, e2021MS002532, https://doi.org/10.1029/2021MS002532, 2021. </li> <li> Cauquoin, A., Werner, M., and Lohmann, G.: Water isotopes -- climate relationships for the mid-Holocene and preindustrial period simulated with an isotope-enabled version of MPI-ESM, Climate of the Past, 15, 1913–1937, https://doi.org/10.5194/cp-15-1913-2019, 2019. </li> </ul>

opencc-by-4.0Oct 2020View details →

[RDF Triples] Courses given at the Vrije Universiteit Amsterdam 2020/2021

This data set is published in Turtle format using triples.  The dataset contains all the Courses and their information at the Vrije Universiteit Amsterdam for the university year 2020/2021. This information was gathered from the Vrije Universiteit Amsterdam online study guide  A new vocabulary 'vu' was needed as some vocabularies did not allow full expression of the datas et. You can use SPARQL in order to fetch data from this dataset, the property variables one can user are: <ul> <li>vu:offeredByFaculty <ul> <li>This property will return the faculty the course belongs to as a vu:FacultyName.</li> </ul> </li> <li>vu:taughtBy <ul> <li>This property will return the professors who teach that course as a vu:ProfessorName.</li> </ul> </li> <li>vu:courseContent <ul> <li>This property returns what a course is about as a string. </li> </ul> </li> <li>vu:courseLevel <ul> <li>This property returns the course level (between 100 and 600) as an integer.</li> </ul> </li> <li>vu:courseObjective  <ul> <li>This property returns the objective of a course as a string.</li> </ul> </li> <li>vu:literature  <ul> <li>This property returns the required literature of a course as a string.</li> </ul> </li> <li>vu:recommendedBackground <ul> <li>This poperty returns the recommended background of a course as a string.</li> </ul> </li> <li>vu:targetAudience <ul> <li>This property returns the target audience of a course as a string.</li> </ul> </li> <li>vu:teachingMethods <ul> <li>This property returns the teaching methods of a course as a string.  </li> </ul> </li> </ul> These are the by us created property variables. There are also some re-used variables which are: <ul> <li>vuc:CourseID rdf:type teach:Course <ul> <li>This returns all courses when used in sparql.</li> </ul> </li> <li>dbo:language <ul> <li>This property returns the language in which a course is given as a dbr:LanguageName</li> </ul> </li> <li>teach:academicTerm <ul> <li>This property is used in order to return the academic term in which a course is given as a string.</li> </ul> </li> <li>teach:courseTitle <ul> <li>This property returns the name of a course as a string.</li> </ul> </li> <li>teach:ects <ul> <li>This property returns the number of European credits one receives for a course as an integer.</li> </ul> </li> <li>teach:grading <ul> <li>This property returns the grading method of a course as a string. </li> </ul> </li> </ul> This data set can be used in order to find specific information about courses without knowing the exact course name or code. For example, you can fetch all courses that have 3 credits and are in English, given at the faculty of Science. Therefore it becomes much easier for students that want to follow courses outside of their major/master, which also fit their requirements. In a normal situation, a student would need to search through all 2064 courses given at the VU to find a course that they like.

opencc-by-4.0Jul 2022View details →

Amsterdam waterlevel during the flood in 1775

The Amsterdam City Archives provide the inventory of the archive of the Amsterdam City Water Office (Stadswaterkantoor). This archive offers water level registers from 1601 up to 1841. This dataset provides the transcribed and transformed (from 'duim' into meters) measurements from the 9th of November until the 21st of November 1775. The measurements were taken in the IJ and in the city. The specific reason for the chosen time period is the flood on the 14th and 15th of November 1775. The city centre was spared from disaster (due to effective sluice management) but streets, houses and cellars near the IJ, e.g. in Kattenburg, Wittenburg and Oostenburg, were flooded. The dataset shows the 'normal' water level up to 7 days before and after the flood, which amplifies the extreme water levels during the flood. Thanks to Kees Hogenes for helping out.  Explanation of column names: <table> <tbody> <tr> <td>year</td> <td>month</td> <td>day</td> <td>time</td> <td>ij-waterlevel(m)</td> <td>city-waterlevel(m)</td> <td>a_ij-waterlevel(duim)</td> <td>b_ij-waterlevel(duim)</td> <td>b_city-waterlevel(duim)</td> <td>ij-waterlevel(duim)</td> <td>city-waterlevel(duim)</td> </tr> <tr> <td>year</td> <td>month</td> <td>day</td> <td>(hh:mm)</td> <td>into meters transformed water level in IJ</td> <td>into meters transformed water level in city</td> <td>transcribed measured water level in IJ, above NAP</td> <td>transcribed measured water level in IJ, beneath NAP</td> <td>transcribed measured water level in city, beneath NAP</td> <td>rewritten water level in IJ</td> <td>rewritten water level in city</td> </tr> </tbody> </table> Source: Amsterdam City Archives 335, 38, 1775 Permalink: https://archief.amsterdam/inventarissen/file/b449d4c851c58677227fda6a3c8f1d96

opencc-by-4.0Jul 2022View details →

3D models (4) of historic buildings Marine Etablissement Amsterdam

These are some rough 3D models of buildings that used to stand at the Marinewerfkade (now around Oosterdok). These historic buildings used to be part of the Marine Etablissement Amsterdam but were demolished in the 1960s for the construction of the IJtunnel. The 3D models were made in Blender and based on historic maps and images from the Amsterdam City Archives, which are referenced in the CSV. The models include (Screenshot_Front from right to left) the MarinePalace (Marine sleeping barrack called the Marine Palace, Dutch: 'Marinepaleis' or 'Officierspaleis', which existed roughly between 1882 and juli 1968); the MarineBetween (small factory building in between MarinePalace and MarineExercise, which existed roughly between 1942 and 1965); the MarineExercise (Exercise Barrack, Dutch: 'Exercitieloods', which existed roughly between 1909 and 1965); and the MarineSchool (School for the marine, Dutch: 'Marinemonteursschool' or 'Opleidingsschool', which existed roughly between 1909 and 1965). The 3D models were used in a thematic standalone version of https://3d.amsterdam.nl/ during an exhibition in the Architecture Centre of Amsterdam (Arcam).

Figs 13–26 in The genus Luticola (Bacillariophyta) on Ile Amsterdam and Ile Saint-Paul (Southern Indian Ocean) with the description of two new species

Figs 13–26. Luticola subcrozetensis Van de Vijver et al. Light (LM) and scanning electron micrographs (SEM) of a population from Ile Saint-Paul. 13–22. LM of valve face views. 23–24. SEM of external view showing composition of striae and typical raphe structure. 25–26. SEM girdle view. Scale bars: 13‒22 = 10 µm; 23‒26 = 5 µm.

Figs 1–12 in The genus Luticola (Bacillariophyta) on Ile Amsterdam and Ile Saint-Paul (Southern Indian Ocean) with the description of two new species

Figs 1–12. Luticola beyensii Van de Vijver et al. Light (LM) and scanning electron micrographs (SEM) of a population from Ile Amsterdam. 1–10. LM of valve face views. 11–12. SEM of external view of entire valve, showing raphe structure, position of the isolated pore and striae structure. Scale bars: 1–10 = 10 µm; 11‒12 = 5 µm.

Figs 44–71 in The genus Luticola (Bacillariophyta) on Ile Amsterdam and Ile Saint-Paul (Southern Indian Ocean) with the description of two new species

Figs 44–71. Luticola vancampiana Chattová & Van de Vijver sp. nov. Light (LM) and scanning electron micrographs (SEM) from the type population from Conserverie on Ile Saint-Paul, B. Van de Vijver sample S029. 44–67. LM showing the variation in size and shape of the valve apices. 68–69. SEM of valve exterior. 70. SEM of valve interior. 71. SEM girdle view. Scale bars: 44–67 10 µm; 68‒71 = 5 µm.

Figs 27–43 in The genus Luticola (Bacillariophyta) on Ile Amsterdam and Ile Saint-Paul (Southern Indian Ocean) with the description of two new species

Figs 27–43. Luticola ivetana Chattová & Van de Vijver sp. nov. Light (LM) and scanning electron micrographs (SEM) from the type population from Entrecasteaux on Ile Amsterdam, B. Van de Vijver sample W030. 27–36. LM of valve face views. 37–38. SEM of valve exterior. 39. SEM girdle view. 40. SEM of valve interior. 41. SEM of external detail of hooked terminal raphe fissures. 42. SEM of external detail view of central area showing the typical deflection of proximal raphe endings. 43. SEM of external detail view of areolae structure. Scale bars: 27‒36 = 10 µm; 37‒38, 40‒43 = 1 µm; 39 = 5 µm.

opencc-by-4.0Jul 2023View details →

Modeling abrupt excursions in water vapor isotopic variability during cold fronts at the Pointe Benedicte observatory in Amsterdam Island / Model dataset

Water vapor mixing ratios, isotopic composition of water vapor and precipitations associated with the manuscript: <div> <div>Landais, A., Agosta, C., Vimeux, F., Magand, O., Solis, C., Cauquoin, A., Dutrievoz, N., Risi, C., Leroy-Dos Santos, C., Fourré, E., Cattani, O., Jossoud, O., Minster, B., Prié, F., Casado, M., Dommergue, A., Bertrand, Y., and Werner, M.: Abrupt excursions in water vapor isotopic variability at the Pointe Benedicte observatory on Amsterdam Island, Atmos. Chem. Phys., 24, 4611–4634, https://doi.org/10.5194/acp-24-4611-2024, 2024.</div> </div>

FIG. 2 in Sagina hookeri Timaná, sp. nov. (Caryophyllaceae), a new endemic species for the flora of Île Amsterdam (French Southern and Antarctic Lands)

FIG. 2. — Close-up of type specimen of Sagina hookeri Timaná, sp. nov. (specimen P02434524; Rouhan et al. 1841).

FIG. 1. — A in Sagina hookeri Timaná, sp. nov. (Caryophyllaceae), a new endemic species for the flora of Île Amsterdam (French Southern and Antarctic Lands)

FIG. 1. — A, Location of Île Amsterdam in the Southern Indian Ocean; B, locality details showing the two sites known for Sagina hookeri Timaná, sp. nov. (dashed frames).

FIG. 4 in Sagina hookeri Timaná, sp. nov. (Caryophyllaceae), a new endemic species for the flora of Île Amsterdam (French Southern and Antarctic Lands)

FIG. 4. — Fruit close-up: A, fruit before dehiscence; B, fruit before dehiscence, with sepals removed, showing petals; C, mature fruit at dehiscence. Lourteig & Cour 57. Photo credits: MNHN – Germinal Rouhan, 2018. Scale bars: A, C, 500 µm; B, 1 mm.

FIG. 3 in Sagina hookeri Timaná, sp. nov. (Caryophyllaceae), a new endemic species for the flora of Île Amsterdam (French Southern and Antarctic Lands)

FIG. 3. — Living specimens and habitat of Sagina hookeri Timaná, sp. nov. in Île Amsterdam: A, habit; B, fruit close-up; C, flower close-up; D, fruiting individual; E, habitat of type specimen at Point Del Cano, in the middle of ' Terres Rouges'. Photos: MNHN – Germinal Rouhan, 2016.