["^ ","accountCollection",["^ ","58906261143ffc0050794dd0",["^ ","avatarUrl","https://druid.datalegend.net/imgs/avatars/a/58906261143ffc0050794dd0.png?v=0","accountName","albertmeronyo","uid","58906261143ffc0050794dd0","name","Albert Meroño-Peñuela","createdAt","Tue Jan 31 2017 10:09:37 GMT+0000 (Coordinated Universal Time)","pinnedDatasets",[],"type","user","siteAdmin",true,"orgs",["59cb57914187dc018067a8fd","5a6ef8ba9dfd7e024841ccc0"],"verbose",true],"59cb57914187dc018067a8fd",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/59cb57914187dc018067a8fd.png?v=0","^3","dataLegend","uid","59cb57914187dc018067a8fd","^4",null,"^5","Wed Sep 27 2017 07:47:29 GMT+0000 (Coordinated Universal Time)","^7","org","members",null,"^6",null,"^:",false],"5a6ef8ba9dfd7e024841ccc0",["^ ","^2",null,"^3","testorggg","uid","5a6ef8ba9dfd7e024841ccc0","^4",null,"^5","Mon Jan 29 2018 10:34:34 GMT+0000 (Coordinated Universal Time)","^7","org","^<",null,"^6",null,"^:",false]],"accounts",["^ ","list",[],"listFor",null,"fetchingList",false,"fetchingListError",null,"nextPage",null],"analytics",null,"app",["^ ","dsPanelCollapsedLg",null,"draggingFile",false,"locale","en-US","currentAccount","58906261143ffc0050794dd0","fetchingCurrentAccount",false],"assets",["^ "],"assetUploads",["^ "],"auth",["^ ","triedLoadingLoggedInUser",true,"loggedInUser",null,"loggingOut",false,"verified",false,"verifying",false,"verifyError",null],"config",["^ ","staticConfig",["^ ","amplitudeToken",null,"apiUrl",["^ ","ssl",true,"port",80,"domain","api.druid.datalegend.net"],"consoleUrl",["^ ","ssl",true,"^W",80,"^X","druid.datalegend.net"],"imageProxy","https://ip.triply.cc","productLinks",["^ ","facetcheck","https://facetcheck.triply.cc","stories","https://stories.triply.cc","triplyDb","https://triplydb.com","yasgui","https://nightly.yasgui.triply.cc/"],"brandingLinks",["^ ","twitter","https://twitter.com/TriplyDB","github","https://github.com/OpenTriply"],"consoleVersion","2.0.42","consoleBuildDate","2019-11-28T13:51:56Z"],"clientConfig",["^ ","branding",["^ ","^4","Druid","tagline","Druid","description","Druid","logo","https://druid.datalegend.net/imgs/logos/logo.svg?v=2","logoLg","https://druid.datalegend.net/imgs/logos/logo-lg.svg?v=1","welcomeMessage","# Welcome to Druid, the place to store, share and query Linked Data\n\nDruid allows you to store your Linked Data. In addition, it provides tools to browse, query and visualise, and discover any Linked Datasets on Druid (and beyond!). Your private data can be stored as Closed Linked Data and setting up a sparql endpoint is literally the click of a button! \n\n[Register now](https://druid.datalegend.net/register?returnTo=%2F) and combine your data with projects such as [Adamlink](https://adamlink.nl), [Amsterdam Time Machine](https://amsterdamtimemachine.nl), [CLIO-INFRA](https://clio-infra.eu), [NLGIS](http://nlgis.nl) as well as the [Collections](https://search.iisg.amsterdam) of the International Institute of Social History.\n\nTo learn more about Druid and the CLARIAH tools to create and query Linked Data, read this [introduction](https://docs.google.com/document/d/1U_gHHm6np3IlKOih-VWYpuByHFCUrrpsNcnMxT127G8/edit?usp=sharing). Druid is the result of a collaboration between CLARIAH and Triply. Let us know if you are interested to host your data on Druid as well!"],"contactEmail","richard.zijdeman@iisg.nl","passwordSignup",true,"version","2.0.42-1","enabledOauth",[],"buildDate","2019-11-29T11:50:36Z","buildId","74c1e627cd1eb8ead5a64ec17b98df896d630cd2","prefixes",[["^ ","prefixLabel","yago","iri","http://yago-knowledge.org/resource/","scope","global"],["^ ","^1G","xsd","iri","http://www.w3.org/2001/XMLSchema#","^1H","global"],["^ ","^1G","wgs84","iri","http://www.w3.org/2003/01/geo/wgs84_pos#","^1H","global"],["^ ","^1G","void","iri","http://rdfs.org/ns/void#","^1H","global"],["^ ","^1G","sf","iri","http://www.opengis.net/ont/sf#","^1H","global"],["^ ","^1G","skos","iri","http://www.w3.org/2004/02/skos/core#","^1H","global"],["^ ","^1G","sioc","iri","http://rdfs.org/sioc/ns#","^1H","global"],["^ ","^1G","schema","iri","http://schema.org/","^1H","global"],["^ ","^1G","rdfs","iri","http://www.w3.org/2000/01/rdf-schema#","^1H","global"],["^ ","^1G","rdfa","iri","http://www.w3.org/ns/rdfa#","^1H","global"],["^ ","^1G","rdf","iri","http://www.w3.org/1999/02/22-rdf-syntax-ns#","^1H","global"],["^ ","^1G","qb","iri","http://purl.org/linked-data/cube#","^1H","global"],["^ ","^1G","prov","iri","http://www.w3.org/ns/prov#","^1H","global"],["^ ","^1G","owl","iri","http://www.w3.org/2002/07/owl#","^1H","global"],["^ ","^1G","gr","iri","http://purl.org/goodrelations/v1#","^1H","global"],["^ ","^1G","gml","iri","http://www.opengis.net/ont/gml#","^1H","global"],["^ ","^1G","geor","iri","http://www.opengis.net/def/rule/geosparql/","^1H","global"],["^ ","^1G","geof","iri","http://www.opengis.net/def/function/geosparql/","^1H","global"],["^ ","^1G","geo","iri","http://www.opengis.net/ont/geosparql#","^1H","global"],["^ ","^1G","foaf","iri","http://xmlns.com/foaf/0.1/","^1H","global"],["^ ","^1G","fn","iri","http://www.w3.org/2005/xpath-functions#","^1H","global"],["^ ","^1G","dct","iri","http://purl.org/dc/terms/","^1H","global"],["^ ","^1G","dcat","iri","http://www.w3.org/ns/dcat#","^1H","global"],["^ ","^1G","dc","iri","http://purl.org/dc/elements/1.1/","^1H","global"],["^ ","^1G","dbp","iri","http://dbpedia.org/property/","^1H","global"],["^ ","^1G","dbo","iri","http://dbpedia.org/ontology/","^1H","global"],["^ ","^1G","b","iri","https://druid.datalegend.net/.well-known/genid/","^1H","global"],["^ ","^1G","iisgr","iri","https://iisg.amsterdam/resource/","^1H","global"],["^ ","^1G","iisgv","iri","https://iisg.amsterdam/vocab/","^1H","global"]],"exampleDatasets",[["^ ","^1<","Het [Internationaal Instituut voor Sociale Geschiedenis (IISG)](https://socialhistory.org) onderzoekt hoe arbeidsverhoudingen zich wereldwijd en op de lange termijn ontwikkelen. Deze dataset brengt de verschillende collecties, archieven, en datasets die het IISG beheerd samen in één geïntegreerde kennisgraaf. Binnen deze kennisgraaf worden de anders afzonderlijk opgeslagen en ontsloten datasets met elkaar in verband gebracht.","id","5bfb153dbda49e02b962146e","^4","iisg-kg","^2","https://druid.datalegend.net/imgs/avatars/d/5bfb153dbda49e02b962146e.png?v=0","owner",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/5a017f47b8bdb30240ad3534.png?v=1","^3","IISG","uid","5a017f47b8bdb30240ad3534","^4","International Institute of Social History","^5","Tue Nov 07 2017 09:39:19 GMT+0000 (Coordinated Universal Time)","^7","org"],"accessLevel","public","license","CC0 1.0","^5","2018-11-25T21:33:49.095Z","updatedAt","2019-11-15T15:29:49.916Z","graphCount",7,"statements",20837889,"serviceCount",2,"assetCount",0,"queryCount",5,"topics",[["^ ","id","79813b04df3be58cf1f34e934f2bb044","iri","https://triply.cc/topic/history","label","History","^1<","History"]],"implicitTopics",[],"lastGraphsUpdateTime","2018-11-25T21:50:44.664Z","exampleResources",["https://iisg.amsterdam/id/item/638591","https://iisg.amsterdam/id/item/613933","https://iisg.amsterdam/id/item/1007737","https://iisg.amsterdam/id/item/969738"]],["^ ","^1<","CShapes is a new dataset that provides historical maps of state boundaries and capitals in the post-World War II period. The dataset is coded according to both the Correlates of War and the Gleditsch and Ward (1999) state lists, and is therefore compatible with a great number of existing databases in the discipline. Provided in a geographic data format, CShapes can be used directly with standard GIS software, allowing a wide range of spatial computations. In addition, we supply a CShapes package for the R statistical toolkit. This package enables researchers without GIS skills to perform various useful operations on the GIS maps.\n\nHomepage: ","id","5a414b381274ff0249652d07","^4","cshapes","^2","https://druid.datalegend.net/imgs/avatars/d/5a414b381274ff0249652d07.png?v=3","^1J",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/5aac1ea31ccc01024f554cce.png?v=3","^3","nlgis","uid","5aac1ea31ccc01024f554cce","^4","NLGis","^5","Fri Mar 16 2018 19:44:35 GMT+0000 (Coordinated Universal Time)","^7","org"],"^1K","public","^1L","CC0 1.0","^5","2017-12-25T19:02:16.214Z","^1M","2019-09-15T09:57:30.339Z","^1N",3,"^1O",6006,"^1P",1,"^1Q",2,"^1R",2,"^1S",[["^ ","id","84a7c0d8fcf779851986372f47fc0729","iri","https://triply.cc/topic/Geodata","^1T","Geodata","^1<","Geodata"],["^ ","id","79813b04df3be58cf1f34e934f2bb044","iri","https://triply.cc/topic/history","^1T","History","^1<","History"]],"^1U",[],"^1V","2018-11-29T17:11:17.444Z","^1W",["https://iisg.amsterdam/resource/country/Netherlands/1946","https://iisg.amsterdam/resource/country/Germany-Democratic-Republic/1954","https://iisg.amsterdam/resource/country/Germany-Federal-Republic/1955","https://iisg.amsterdam/resource/country/Germany/1990","https://iisg.amsterdam/resource/country/India/1947","https://iisg.amsterdam/resource/country/Chad/1960","https://iisg.amsterdam/resource/capital/Amsterdam","https://iisg.amsterdam/resource/capital/Berlin"]],["^ ","^1<","In deze dataset is erfgoeddata samengevoegd en aan elkaar verbonden in het kader van het project AdamLink, uitgevoerd door Stichting AdamNet. Het gaat daarbij om de beeldbank van het Stadsarchief en de collectie van het Amsterdam Museum. Daarnaast zijn selecties van Amsterdamse voorwerpen opgenomen uit de collecties van het Internationaal Instituut voor Sociale Geschiedenis, de Bibliotheek van de UvA/HvA en de Openbare Bibliotheek Amsterdam. De erfgoeddata is verbonden met behulp van straten, gebouwen, wijken en personen.\n\nVoor uitleg over en voorbeelden van hoe je deze data kunt gebruiken zie: [het lab van Adamlink](http://lab.adamlink.nl).","id","5c8669259cf8a302efc85404","^4","all","^2","https://druid.datalegend.net/imgs/avatars/d/5c8669259cf8a302efc85404.png?v=0","^1J",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/5c86543911e64902dd07f4f6.png?v=0","^3","AdamNet","uid","5c86543911e64902dd07f4f6","^4",null,"^5","Mon Mar 11 2019 12:27:37 GMT+0000 (Coordinated Universal Time)","^7","org"],"^1K","public","^5","2019-03-11T13:56:53.038Z","^1M","2019-11-17T10:53:31.863Z","^1N",25,"^1O",9537277,"^1P",1,"^1Q",0,"^1R",4,"^1S",[],"^1U",[],"^1V","2019-11-17T10:53:31.837Z","^1W",["http://hdl.handle.net/11259/collection.277","http://beeldbank.amsterdam.nl/afbeelding/10019A000362","https://adamlink.nl/geo/street/jodenbreestraat/2158","http://data.bibliotheken.nl/id/nbt/p126527997"]],["^ ","^1<","Nederland telt bijna 400 gemeenten. In 1812 waren dat er meer dan 1100. In twee eeuwen vol herindelingen, annexaties en fusies heeft Nederland bijna 1700 gemeenten gekend. De data van gemeentegeschiedenis is gebouwd op twee datasets: het Repertorium van Nederlandse gemeenten vanaf 1812 van Ad van der Meer en Onno Boonstra en de bij DANS gedeponeerde NLGis shapefiles van Onno Boonstra, waarin van elk jaar van 1812 tot 1997 de gemeentegrenzen zijn vastgelegd.\n\nWebsite: ","id","5a43ad381274ff0249652ea0","^4","gemeentegeschiedenis","^2","https://druid.datalegend.net/imgs/avatars/d/5a43ad381274ff0249652ea0.png?v=7","^1J",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/5aac1ea31ccc01024f554cce.png?v=3","^3","nlgis","uid","5aac1ea31ccc01024f554cce","^4","NLGis","^5","Fri Mar 16 2018 19:44:35 GMT+0000 (Coordinated Universal Time)","^7","org"],"^1K","public","^1L","CC0 1.0","^5","2017-12-27T14:24:56.890Z","^1M","2019-11-29T11:04:27.005Z","^1N",2,"^1O",47368,"^1P",1,"^1Q",0,"^1R",7,"^1S",[["^ ","id","84a7c0d8fcf779851986372f47fc0729","iri","https://triply.cc/topic/Geodata","^1T","Geodata","^1<","Geodata"],["^ ","id","79813b04df3be58cf1f34e934f2bb044","iri","https://triply.cc/topic/history","^1T","History","^1<","History"]],"^1U",[],"^1V","2019-09-18T09:10:17.251Z","^1W",["http://www.gemeentegeschiedenis.nl/gemeentenaam/Almenum","http://www.gemeentegeschiedenis.nl/gemeentenaam/Amsterdam","http://www.gemeentegeschiedenis.nl/gemeentenaam/Roermond","http://www.gemeentegeschiedenis.nl/gemeentenaam/Swalmen","http://www.gemeentegeschiedenis.nl/gemeentenaam/Lelystad","http://www.gemeentegeschiedenis.nl/gemeentenaam/Middelstum","http://www.gemeentegeschiedenis.nl/gemeentenaam/Utrecht","http://www.gemeentegeschiedenis.nl/gemeentenaam/Maastricht"]],["^ ","^1<","Clio Infra contains a number of interconnected databases containing worldwide data on social, economic, and institutional indicators for the past five centuries, with special attention to the past 200 years. These indicators allow research into long-term development of worldwide economic growth and inequality. See also this [datastory](http://stories.datalegend.net/growthAndInequalty/)","id","5be43ff50eae9002b4b2db67","^4","Clio-Infra","^2","https://druid.datalegend.net/imgs/avatars/d/5be43ff50eae9002b4b2db67.png?v=0","^1J",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/59cb57914187dc018067a8fd.png?v=0","^3","dataLegend","uid","59cb57914187dc018067a8fd","^4",null,"^5","Wed Sep 27 2017 07:47:29 GMT+0000 (Coordinated Universal Time)","^7","org"],"^1K","public","^5","2018-11-08T13:53:57.516Z","^1M","2019-10-10T18:11:23.022Z","^1N",4,"^1O",1962997,"^1P",1,"^1Q",77,"^1R",10,"^1S",[],"^1U",[],"^1V","2018-12-04T12:12:44.497Z","^1W",["https://iisg.amsterdam/clio/United_Kingdom/1946/2012/1850","https://iisg.amsterdam/clio/GDP_per_Capita"]],["^ ","^1<","Data from the CLARIAH-AMSTERDAM TIME MACHINE pilot. Public repository for Amsterdam Time Machine Linked Data. The Amsterdam Time Machine (ATM) is a hub for linked historical data on Amsterdam. The web of information on people, places, relationships, events, and objects will unfold in time and space through geographical and 3D representations.","id","5cd03ed0ffdeed02c7989fb6","^4","clariahPilot","^2","https://druid.datalegend.net/imgs/avatars/d/5cd03ed0ffdeed02c7989fb6.png?v=0","^1J",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/5cd03d12ffdeed02c7989fb4.png?v=0","^3","AmsterdamTimeMachine","uid","5cd03d12ffdeed02c7989fb4","^4","Amsterdam Time Machine","^5","Mon May 06 2019 13:56:34 GMT+0000 (Coordinated Universal Time)","^7","org"],"^1K","public","^5","2019-05-06T14:04:00.485Z","^1M","2019-09-25T21:51:43.468Z","^1N",18,"^1O",558091,"^1P",1,"^1Q",0,"^1R",4,"^1S",[["^ ","id","84a7c0d8fcf779851986372f47fc0729","iri","https://triply.cc/topic/Geodata","^1T","Geodata","^1<","Geodata"],["^ ","id","79813b04df3be58cf1f34e934f2bb044","iri","https://triply.cc/topic/history","^1T","History","^1<","History"]],"^1U",[],"^1V","2019-09-25T21:51:43.443Z","^1W",["https://adamlink.nl/geo/district/A/1248","https://iisg.amsterdam/resource/atm/lexdata/1001","https://iisg.amsterdam/resource/atm/cinemacontext/Bios106","https://iisg.amsterdam/resource/atm/ndb/take/11"]],["^ ","^1<","Updated Linked Data version of HISCO","id","5d2058b4f3f476379ca1303c","^4","HISCO","^2","https://druid.datalegend.net/imgs/avatars/d/5d2058b4f3f476379ca1303c.png?v=0","^1J",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/5a017f47b8bdb30240ad3534.png?v=1","^3","IISG","uid","5a017f47b8bdb30240ad3534","^4","International Institute of Social History","^5","Tue Nov 07 2017 09:39:19 GMT+0000 (Coordinated Universal Time)","^7","org"],"^1K","public","^1L","CC-BY-SA","^5","2019-07-06T08:15:48.107Z","^1M","2019-11-28T21:42:35.367Z","^1N",8,"^1O",16071,"^1P",1,"^1Q",0,"^1R",5,"^1S",[],"^1U",[],"^1V","2019-11-28T21:42:35.330Z","^1W",["https://iisg.amsterdam/resource/hisco/HISCO","https://iisg.amsterdam/resource/hisco/code/hisco/81230","https://iisg.amsterdam/resource/hisco/MicroGroup","https://iisg.amsterdam/resource/hisco/code/hisco/812","https://iisg.amsterdam/resource/hisco/UnitGroup","https://iisg.amsterdam/resource/hisco/code/hisco/81","https://iisg.amsterdam/resource/hisco/MinorGroup","https://iisg.amsterdam/resource/hisco/code/hisco/8","https://iisg.amsterdam/resource/hisco/MajorGroup"]],["^ ","^1<","The Catasto is a tax survey conducted in Florentine territory between 1427 and 1429. This version uses the data of David Herlihy and Christiane Klapisch-Zuber as described in their book [Tuscans and their Families: A Study of the Florentine Catasto of 1427](https://utrechtuniversity.on.worldcat.org/oclc/1075240282). The dataset holds information on c. 60,000 households, including wealth, debts and assets, household size, property ownership, and sometimes the occupational status of the head.\nSee also this [datastory](http://stories.datalegend.net/catasto/)","id","5bb61cd20d9f54028bed5692","^4","Catasto","^2","https://druid.datalegend.net/imgs/avatars/d/5bb61cd20d9f54028bed5692.png?v=0","^1J",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/59cb57914187dc018067a8fd.png?v=0","^3","dataLegend","uid","59cb57914187dc018067a8fd","^4",null,"^5","Wed Sep 27 2017 07:47:29 GMT+0000 (Coordinated Universal Time)","^7","org"],"^1K","public","^5","2018-10-04T13:59:46.535Z","^1M","2019-11-29T09:57:48.625Z","^1N",76,"^1O",4076244,"^1P",1,"^1Q",15,"^1R",1,"^1S",[["^ ","id","79813b04df3be58cf1f34e934f2bb044","iri","https://triply.cc/topic/history","^1T","History","^1<","History"]],"^1U",[],"^1V","2018-11-02T08:37:17.489Z","^1W",["https://iisg.amsterdam/catasto/household/158","https://iisg.amsterdam/catasto/individual/158_1","https://iisg.amsterdam/catasto/code/METIER/28"]],["^ ","^1<","This is the CEDAR `subset-fully-harmonized` (S). The full set is not harmonized. Instead 'S':\n- covers the period 1859-1920\n- its variables are fully harmonized (sex, residence status, house type, municipality, year, lower level municipal areas)\n- is well tested","id","5bb298810d9f54028bed5436","^4","CEDAR-S","^2","https://druid.datalegend.net/imgs/avatars/d/5bb298810d9f54028bed5436.png?v=1","^1J",["^ ","^2","https://druid.datalegend.net/imgs/avatars/a/59cb57914187dc018067a8fd.png?v=0","^3","dataLegend","uid","59cb57914187dc018067a8fd","^4",null,"^5","Wed Sep 27 2017 07:47:29 GMT+0000 (Coordinated Universal Time)","^7","org"],"^1K","public","^5","2018-10-01T21:58:25.477Z","^1M","2018-10-21T11:27:30.924Z","^1N",1,"^1O",10654352,"^1P",1,"^1Q",0,"^1R",0,"^1S",[["^ 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Albert Meroño-Peñuela

Organizations

albertmeronyo / h6

albertmeronyo / linernote

albertmeronyo / dataregina

albertmeronyo / reginatest

albertmeronyo / lisbon-population

albertmeronyo / imf

Documentation

Triply