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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dunn, Jarryd;

    This collection contains a the datasets created as part of a masters thesis. The collection consists of two datasets in two forms as well as the corresponding entity descriptions for each of the datasets.The experiment_doc_labels_clean documents contain the data used for the experiments. The JSON file consists of a list of JSON objects. The JSON objects contain the following fields: id: Document idner_tags: List of IOB tags indicating mention boundaries based on the majority label assigned using crowdsourcing.el_tags: List of entity ids based on the majority label assigned using crowdsourcing.all_ner_tags: List of lists of IOB tags assigned by each of the users.all_el_tags: List of lists of entity IDs assigned by each of the users annotating the data.tokens: List of tokens from the text.The experiment_doc_labels_clean-U.tsv contains the dataset used for the experiments but in in a format similar to the CoNLL-U format. The first line for each document contains the document ID. The documents are separated by a blank line. Each word in a document is on its own line consisting of the word the IOB tag and the entity id separated by tags.While the experiments were being completed the annotation system was left open until all the documents had been annotated by three users. This resulted in the all_docs_complete_labels_clean.json and all_docs_complete_labels_clean-U.tsv datasets. The all_docs_complete_labels_clean.json and all_docs_complete_labels_clean-U.tsv documents take the same form as the experiment_doc_labels_clean.json and experiment_doc_labels_clean-U.tsv.Each of the documents described above contain an entity id. The IDs match to the entities stored in the entity_descriptions CSV files. Each of row in these files corresponds to a mention for an entity and take the form:{ID}${Mention}${Context}[N]Three sets of entity descriptions are available:1. entity_descriptions_experiments.csv: This file contains all the mentions from the subset of the data used for the experiments as described above. However, the data has not been cleaned so there are multiple entity IDs which actually refer to the same entity.2. entity_descriptions_experiments_clean.csv: These entities also cover the data used for the experiments, however, duplicate entities have been merged. These entities correspond to the labels for the documents in the experiment_doc_labels_clean files.3. entity_descriptions_all.csv: The entities in this file correspond to the data in the all_docs_complete_labels_clean. Please note that the entities have not been cleaned so there may be duplicate or incorrect entities.

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    ZivaHub - Open Data UCT
    Dataset . 2022
    License: CC BY
    ZivaHub
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
    ZivaHub
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZivaHub - Open Data UCT
      Dataset . 2022
      License: CC BY
      ZivaHub
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
      ZivaHub
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Slingsby, Thomas; Jones, Kerry; Muftic, Sanjin; Walker, Andrea; +2 Authors

    A list of Place Names extracted from the ǂKhomani San | Hugh Brody Collection held by the University of Cape Town (UCT) Library.Effort has been made to geocode as many place names as possible with their geographic coordinates (Latitude & Longitude).The data set is available in three formats:• a comma separated values table (CSV); • a KMZ spatial data layer, compatible with Google Maps, Google Earth and most GIS packages; • a ZIP archive of an ESRI shapefile, compatible with most GIS packagesThis data set is incomplete. Not all resources in the collection have been processed, additional place names may be missing from the list. Geocoding was performed as accurately as our reference resources allowed, but some locations may have been misplaced.We would like to thank African Tongue and the communities of the region for their assistance with the creation of this data set.The ǂKhomani San are the first people of the southern Kalahari. They lived as hunters and gatherers in the immense desert in the northwest corner of South Africa. For them, it is a land rich in wildlife, plants, trees, great sand dunes and dry riverbeds. When the ǂKhomani San share their history, they tell a story of dispossession from their lands, erasure of their way of life, and disappearance of their language. To speak of their past is to search in memory for all that was taken from them in the colonial, apartheid and post-apartheid era. They also tell a story of reclamation and recovery of lands, language, and even of memory itself. Coordinate Reference System: Geographic Coordinate System WGS1984 (GCS WGS84)Fields - Due to software limitations diacritics were not used in field names:Place_Name: Name of placeLatitude: Latitude Ordinate GCS WGS84Longitude: Longitude Ordinate GCS WGS84Notes_Loc: Any extra information about the place name location, either from the collection or discovered by the authors.Source: The source of the geographic coordinatesLocal Name: This is the name as it may have changed locallyEng: English nameAfr: Afrikaans namekqz_Kora: Kora namenaq_Nama: Nama namengh_Nuu: Nuu nametsn_Tswana: Tswana namegla_Scottish_Gaelic: Gaelic namefra_French: French nameNotes_ling: notes of linguistic interest

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    ZivaHub
    Dataset . 2021
    License: CC 0
    Data sources: Datacite
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      ZivaHub
      Dataset . 2021
      License: CC 0
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rüther, Heinz; Bhurtha, Roshan; Schröder, Ralph; Wessels, Stephen; +1 Authors

    This master metadata spreadsheet documents all of the Gede ruins heritage items published by the Zamani Project.The ruins of Gede (also Gedi), a traditional Arab-African Swahili town, are located just off Kenya’s coastline, some 90km north of Mombasa. Gede was a small town built entirely from stones and rocks, and most of the original foundations are still visible today.Remaining structures at the site include coral stone buildings, mosques, houses and a palace. The town was abandoned in the early 17th century, and Gede’s buildings date back to the 15th century, although it is believed that the site could have been inhabited as early as the 11th or 12th century.The Zamani Project spatially documented the Gede ruins in 2010. In addition to the three principal structures of the Great Mosque, the Small Mosque and the Palace, remains of other structures in the immediate vicinity were also documented.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the UNESCO website (https://whc.unesco.org/en/tentativelists/5501/).The Zamani Project received funding from the Andrew W Mellon Foundation at the time of the project.

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    ZivaHub - Open Data UCT
    Dataset . 2020
    License: CC BY NC
    ZivaHub
    Dataset . 2020
    License: CC BY NC
    Data sources: Datacite
    ZivaHub
    Dataset . 2020
    License: CC BY NC
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZivaHub - Open Data ...arrow_drop_down
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      ZivaHub - Open Data UCT
      Dataset . 2020
      License: CC BY NC
      ZivaHub
      Dataset . 2020
      License: CC BY NC
      Data sources: Datacite
      ZivaHub
      Dataset . 2020
      License: CC BY NC
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rüther, Heinz; Schröder, Ralph; Bhurtha, Roshan; Wessels, Stephen; +1 Authors

    This master metadata spreadsheet documents all of the Kua ruins heritage items published by the Zamani Project. The Kua ruins are all that remains of a medieval Swahili town located on Juani Island in the Mafia Archipelago. The ruins offer insights into an island civilization that saw Portuguese and Omani control as well as independence, enslavement, and eventual abandonment. Indicators of early settlement and trade—including Islamic and Chinese ceramics dating to the thirteenth and fourteenth centuries and currency from mainland Tanzania—have been found in the ruins, while Portuguese accounts from the sixteenth century note the great wealth of the Kua people. The Zamani Project spatially documented some of the Kua ruins in 2018.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the World Monuments Fund website (https://www.wmf.org/project/kua-ruins).All work was carried out as part of the Kua Conservation Project:Co-Directors: Stephane Pradines (ISMC-AKU) and Pierre Blanchard (WMF).Partner institutions: Aga Khan University (AKU); Tanzanian Antiquities; World Monument Fund (WMF), Zamani Project (University of Cape Town)Then Zamani Project contributed accurate 3D models and maps of the site and structures to the Kua Conservation Program.The ruins of Gede (also Gedi), a traditional Arab-African Swahili town, are located just off Kenya’s coastline, some 90km north of Mombasa. Gede was a small town built entirely from stones and rocks, and most of the original foundations are still visible today. Remaining structures at the site include coral stone buildings, mosques, houses and a palace. The town was abandoned in the early 17th century, and Gede’s buildings date back to the 15th century, although it is believed that the site could have been inhabited as early as the 11th or 12th century. The Zamani Project spatially documented the Gede ruins in 2010. In addition to the three principal structures of the Great Mosque, the Small Mosque and the Palace, remains of other structures in the immediate vicinity were also documented.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the UNESCO website (https://whc.unesco.org/en/tentativelists/5501/).The Zamani Project received funding from the Andrew W Mellon Foundation at the time of the project.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZivaHub - Open Data ...arrow_drop_down
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    ZivaHub - Open Data UCT
    Dataset . 2020
    License: CC BY NC
    ZivaHub
    Dataset . 2020
    License: CC BY NC
    Data sources: Datacite
    ZivaHub
    Dataset . 2020
    License: CC BY NC
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZivaHub - Open Data ...arrow_drop_down
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      ZivaHub - Open Data UCT
      Dataset . 2020
      License: CC BY NC
      ZivaHub
      Dataset . 2020
      License: CC BY NC
      Data sources: Datacite
      ZivaHub
      Dataset . 2020
      License: CC BY NC
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rüther, Heinz; Schröder, Ralph; Bhurtha, Roshan; Held, Christoph; +2 Authors

    This is a GIS file set of the Gede ruins. The data was generated from laser scans, photogrammetric techniques and GPS data. The data maps the site of the Gede ruins in Kilifi County in Kenya. All data is in either the unprojected Geographic (GCS WGS84) or the projected Universal Transverse Mercator 37 South (UTM37S WGS84) coordinate system.The data is packaged as an ESRI Map Package (.mpk). If you are not an ESRI user and wish to unpack the package please rename the file extension to .zip and use a programme, such as 7-Zip, to unpack the package. The package contains shapefiles and images which are compatible with most GIS software. The ruins of Gede (also Gedi), a traditional Arab-African Swahili town, are located just off Kenya’s coastline, some 90km north of Mombasa. Gede was a small town built entirely from stones and rocks, and most of the original foundations are still visible today. Remaining structures at the site include coral stone buildings, mosques, houses and a palace. The town was abandoned in the early 17th century, and Gede’s buildings date back to the 15th century, although it is believed that the site could have been inhabited as early as the 11th or 12th century. The Zamani Project spatially documented the Gede ruins in 2010. In addition to the three principal structures of the Great Mosque, the Small Mosque and the Palace, remains of other structures in the immediate vicinity were also documented.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the UNESCO website (https://whc.unesco.org/en/tentativelists/5501/).The Zamani Project received funding from the Andrew W Mellon Foundation at the time of the project.

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    ZivaHub
    Dataset . 2020
    License: CC BY NC
    Data sources: Datacite
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      ZivaHub
      Dataset . 2020
      License: CC BY NC
      Data sources: Datacite
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    Authors: Murris, Karin; Ngambi, Dick;

    The aims of this collaborative research study between University of Cape Town and University of Sheffield study were to explore the contemporary play environments of children in order to identify the ways in which children’s play is shaped by technology, to examine the relationship between digital play, learning and creativity, and to explore the role of adults in mediating digital play. One of the five objectives was to understand the dynamics operating across the digital ecology of children’s play (in homes, communities and schools) in terms of synergies, dissonance and transfer, and to identify the implications for learning.The study adopted a mixed-methods approach. Parents of 3-11 year-olds were invited to complete a survey, and 30 parents then took part in telephone interviews in order to follow-up themes from the survey in greater detail. Case studies with families were undertaken. In the case studies, parents and children were interviewed and videoed. Parents also filmed their children using technologies, and they and their children were asked questions about the videos. Parents were invited to share images and videos with researchers using WhatsApp. In addition, children in the families were given diaries to record their use of social media and television, and used Go-Pro cameras to record their digital play. Further, children were invited to build a toy they would like to be invented using LEGO bricks. Children were invited to create concept maps on a number of questions relating to play, technology and learning. In addition, the children were observed in schools using technology, and were also observed in a regular after-school club or community venue they visited. In each case, the child’s class teacher and the community/ after school club leader were interviewed. Finally, children in schools took part in focus group interviews in which they were invited to create collages, complete concept maps and build a toy they would like to be invented using LEGO bricks.In this study, we started with 10 families (one family with twins) from 9 schools in the Cape Town area, that is, 11 case-study children (see Table 1), who were selected by the teachers and observed in school. After the school visits, one family (case-study child Fahiema) decided not to participate in the family visits part of the field work. The transcripts for each of the case-study children and the telephonic interviews of 30 parents on follow-up themes from the survey is shared. To protect identities of participants, pseudonyms are used.The following qualitative data is shared: interviews with their teachers; focus-group discussions; community visits; family visits and telephonic parent interviews. NOTE: The research instruments used in this study were adapted from Marsh, J. Stjerne Thomsen, B., Parry, B., Scott, F. Bishop, J.C., Bannister, C., Driscoll, A., Margary, T., Woodgate, A., (2019) Children, Technology and Play. UK Survey Questions. LEGO Foundation.

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    ZivaHub - Open Data UCT
    Dataset . 2020
    License: CC BY
    ZivaHub
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
    ZivaHub
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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      ZivaHub - Open Data UCT
      Dataset . 2020
      License: CC BY
      ZivaHub
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
      ZivaHub
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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    Authors: Rüther, Heinz; Schröder, Ralph; Bhurtha, Roshan; Wessels, Stephen; +1 Authors

    This is a GIS file set of the Kua ruins. The data was generated from laser scans, photogrammetric techniques and GPS data. The data maps the site of the Kua ruins on Juani Island in Tanzania. All data is in either the unprojected Geographic (GCS WGS84) or the projected Universal Transverse Mercator 37 South (UTM34S WGS84) coordinate system.The data is packaged as an ESRI Map Package (.mpk). If you are not an ESRI user and wish to unpack the package please rename the file extension to .zip and use a programme, such as 7-Zip, to unpack the package. The package contains shapefiles and images which are compatible with most GIS software.The Kua ruins are all that remains of a medieval Swahili town located on Juani Island in the Mafia Archipelago. The ruins offer insights into an island civilization that saw Portuguese and Omani control as well as independence, enslavement, and eventual abandonment. Indicators of early settlement and trade—including Islamic and Chinese ceramics dating to the thirteenth and fourteenth centuries and currency from mainland Tanzania—have been found in the ruins, while Portuguese accounts from the sixteenth century note the great wealth of the Kua people. The Zamani Project spatially documented some of the Kua ruins in 2018.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the World Monuments Fund website (https://www.wmf.org/project/kua-ruins).All work was carried out as part of the Kua Conservation Project:Co-Directors: Stephane Pradines (ISMC-AKU) and Pierre Blanchard (WMF).Partner institutions: Aga Khan University (AKU); Tanzanian Antiquities; World Monument Fund (WMF), Zamani Project (University of Cape Town) Then Zamani Project contributed accurate 3D models and maps of the site and structures to the Kua Conservation Program.

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    ZivaHub
    Dataset . 2019
    License: CC BY NC
    Data sources: Datacite
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      ZivaHub
      Dataset . 2019
      License: CC BY NC
      Data sources: Datacite
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    Authors: Schäfer, Sarah;

    Screencasts of 6 participants navigating and exploring a digital museum. Participants engaged with a digital platform before interviews took place. Research for a dissertation submitted in partial fulfillment of an MPhil specialising in Digital Curation at the University of Cape Town. Title of the dissertation: Perceptions and experiences of selected participants engaging with a digitally curated environmental Outsider Art collection.

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    ZivaHub - Open Data UCT
    Dataset . 2018
    License: CC BY
    ZivaHub
    Collection . 2018
    License: CC BY
    Data sources: Datacite
    ZivaHub
    Collection . 2018
    License: CC BY
    Data sources: Datacite
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      ZivaHub - Open Data UCT
      Dataset . 2018
      License: CC BY
      ZivaHub
      Collection . 2018
      License: CC BY
      Data sources: Datacite
      ZivaHub
      Collection . 2018
      License: CC BY
      Data sources: Datacite
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    Authors: Schäfer, Sarah;

    Transcripts of interviews with six voluntary participants for the dissertation submitted in partial fulfillment of an MPhil specialising in Digital Curation at the University of Cape Town. Title of the dissertation: Perceptions and experiences of selected participants engaging with a digitally curated environmental Outsider Art collection.

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    ZivaHub - Open Data UCT; ZivaHub
    Dataset . Collection . 2018
    License: CC BY
    ZivaHub
    Collection . 2018
    License: CC BY
    Data sources: Datacite
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      ZivaHub - Open Data UCT; ZivaHub
      Dataset . Collection . 2018
      License: CC BY
      ZivaHub
      Collection . 2018
      License: CC BY
      Data sources: Datacite
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    Authors: Schäfer, Sarah;

    Interviews with six voluntary participants for the dissertation submitted in partial fulfillment of an MPhil specialising in Digital Curation at the University of Cape Town. Title of the dissertation: Perceptions and experiences of selected participants engaging with a digitally curated environmental Outsider Art collection. The participants signed consent forms, but their identities are confidential.

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    ZivaHub - Open Data UCT
    Dataset . 2018
    License: CC BY
    ZivaHub
    Collection . 2018
    License: CC BY
    Data sources: Datacite
    ZivaHub
    Collection . 2018
    License: CC BY
    Data sources: Datacite
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      ZivaHub - Open Data UCT
      Dataset . 2018
      License: CC BY
      ZivaHub
      Collection . 2018
      License: CC BY
      Data sources: Datacite
      ZivaHub
      Collection . 2018
      License: CC BY
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dunn, Jarryd;

    This collection contains a the datasets created as part of a masters thesis. The collection consists of two datasets in two forms as well as the corresponding entity descriptions for each of the datasets.The experiment_doc_labels_clean documents contain the data used for the experiments. The JSON file consists of a list of JSON objects. The JSON objects contain the following fields: id: Document idner_tags: List of IOB tags indicating mention boundaries based on the majority label assigned using crowdsourcing.el_tags: List of entity ids based on the majority label assigned using crowdsourcing.all_ner_tags: List of lists of IOB tags assigned by each of the users.all_el_tags: List of lists of entity IDs assigned by each of the users annotating the data.tokens: List of tokens from the text.The experiment_doc_labels_clean-U.tsv contains the dataset used for the experiments but in in a format similar to the CoNLL-U format. The first line for each document contains the document ID. The documents are separated by a blank line. Each word in a document is on its own line consisting of the word the IOB tag and the entity id separated by tags.While the experiments were being completed the annotation system was left open until all the documents had been annotated by three users. This resulted in the all_docs_complete_labels_clean.json and all_docs_complete_labels_clean-U.tsv datasets. The all_docs_complete_labels_clean.json and all_docs_complete_labels_clean-U.tsv documents take the same form as the experiment_doc_labels_clean.json and experiment_doc_labels_clean-U.tsv.Each of the documents described above contain an entity id. The IDs match to the entities stored in the entity_descriptions CSV files. Each of row in these files corresponds to a mention for an entity and take the form:{ID}${Mention}${Context}[N]Three sets of entity descriptions are available:1. entity_descriptions_experiments.csv: This file contains all the mentions from the subset of the data used for the experiments as described above. However, the data has not been cleaned so there are multiple entity IDs which actually refer to the same entity.2. entity_descriptions_experiments_clean.csv: These entities also cover the data used for the experiments, however, duplicate entities have been merged. These entities correspond to the labels for the documents in the experiment_doc_labels_clean files.3. entity_descriptions_all.csv: The entities in this file correspond to the data in the all_docs_complete_labels_clean. Please note that the entities have not been cleaned so there may be duplicate or incorrect entities.

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    ZivaHub - Open Data UCT
    Dataset . 2022
    License: CC BY
    ZivaHub
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
    ZivaHub
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZivaHub - Open Data UCT
      Dataset . 2022
      License: CC BY
      ZivaHub
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
      ZivaHub
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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    Authors: Slingsby, Thomas; Jones, Kerry; Muftic, Sanjin; Walker, Andrea; +2 Authors

    A list of Place Names extracted from the ǂKhomani San | Hugh Brody Collection held by the University of Cape Town (UCT) Library.Effort has been made to geocode as many place names as possible with their geographic coordinates (Latitude & Longitude).The data set is available in three formats:• a comma separated values table (CSV); • a KMZ spatial data layer, compatible with Google Maps, Google Earth and most GIS packages; • a ZIP archive of an ESRI shapefile, compatible with most GIS packagesThis data set is incomplete. Not all resources in the collection have been processed, additional place names may be missing from the list. Geocoding was performed as accurately as our reference resources allowed, but some locations may have been misplaced.We would like to thank African Tongue and the communities of the region for their assistance with the creation of this data set.The ǂKhomani San are the first people of the southern Kalahari. They lived as hunters and gatherers in the immense desert in the northwest corner of South Africa. For them, it is a land rich in wildlife, plants, trees, great sand dunes and dry riverbeds. When the ǂKhomani San share their history, they tell a story of dispossession from their lands, erasure of their way of life, and disappearance of their language. To speak of their past is to search in memory for all that was taken from them in the colonial, apartheid and post-apartheid era. They also tell a story of reclamation and recovery of lands, language, and even of memory itself. Coordinate Reference System: Geographic Coordinate System WGS1984 (GCS WGS84)Fields - Due to software limitations diacritics were not used in field names:Place_Name: Name of placeLatitude: Latitude Ordinate GCS WGS84Longitude: Longitude Ordinate GCS WGS84Notes_Loc: Any extra information about the place name location, either from the collection or discovered by the authors.Source: The source of the geographic coordinatesLocal Name: This is the name as it may have changed locallyEng: English nameAfr: Afrikaans namekqz_Kora: Kora namenaq_Nama: Nama namengh_Nuu: Nuu nametsn_Tswana: Tswana namegla_Scottish_Gaelic: Gaelic namefra_French: French nameNotes_ling: notes of linguistic interest

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    ZivaHub
    Dataset . 2021
    License: CC 0
    Data sources: Datacite
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      ZivaHub
      Dataset . 2021
      License: CC 0
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    Authors: Rüther, Heinz; Bhurtha, Roshan; Schröder, Ralph; Wessels, Stephen; +1 Authors

    This master metadata spreadsheet documents all of the Gede ruins heritage items published by the Zamani Project.The ruins of Gede (also Gedi), a traditional Arab-African Swahili town, are located just off Kenya’s coastline, some 90km north of Mombasa. Gede was a small town built entirely from stones and rocks, and most of the original foundations are still visible today.Remaining structures at the site include coral stone buildings, mosques, houses and a palace. The town was abandoned in the early 17th century, and Gede’s buildings date back to the 15th century, although it is believed that the site could have been inhabited as early as the 11th or 12th century.The Zamani Project spatially documented the Gede ruins in 2010. In addition to the three principal structures of the Great Mosque, the Small Mosque and the Palace, remains of other structures in the immediate vicinity were also documented.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the UNESCO website (https://whc.unesco.org/en/tentativelists/5501/).The Zamani Project received funding from the Andrew W Mellon Foundation at the time of the project.

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    ZivaHub - Open Data UCT
    Dataset . 2020
    License: CC BY NC
    ZivaHub
    Dataset . 2020
    License: CC BY NC
    Data sources: Datacite
    ZivaHub
    Dataset . 2020
    License: CC BY NC
    Data sources: Datacite
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      ZivaHub - Open Data UCT
      Dataset . 2020
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      ZivaHub
      Dataset . 2020
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      ZivaHub
      Dataset . 2020
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    Authors: Rüther, Heinz; Schröder, Ralph; Bhurtha, Roshan; Wessels, Stephen; +1 Authors

    This master metadata spreadsheet documents all of the Kua ruins heritage items published by the Zamani Project. The Kua ruins are all that remains of a medieval Swahili town located on Juani Island in the Mafia Archipelago. The ruins offer insights into an island civilization that saw Portuguese and Omani control as well as independence, enslavement, and eventual abandonment. Indicators of early settlement and trade—including Islamic and Chinese ceramics dating to the thirteenth and fourteenth centuries and currency from mainland Tanzania—have been found in the ruins, while Portuguese accounts from the sixteenth century note the great wealth of the Kua people. The Zamani Project spatially documented some of the Kua ruins in 2018.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the World Monuments Fund website (https://www.wmf.org/project/kua-ruins).All work was carried out as part of the Kua Conservation Project:Co-Directors: Stephane Pradines (ISMC-AKU) and Pierre Blanchard (WMF).Partner institutions: Aga Khan University (AKU); Tanzanian Antiquities; World Monument Fund (WMF), Zamani Project (University of Cape Town)Then Zamani Project contributed accurate 3D models and maps of the site and structures to the Kua Conservation Program.The ruins of Gede (also Gedi), a traditional Arab-African Swahili town, are located just off Kenya’s coastline, some 90km north of Mombasa. Gede was a small town built entirely from stones and rocks, and most of the original foundations are still visible today. Remaining structures at the site include coral stone buildings, mosques, houses and a palace. The town was abandoned in the early 17th century, and Gede’s buildings date back to the 15th century, although it is believed that the site could have been inhabited as early as the 11th or 12th century. The Zamani Project spatially documented the Gede ruins in 2010. In addition to the three principal structures of the Great Mosque, the Small Mosque and the Palace, remains of other structures in the immediate vicinity were also documented.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the UNESCO website (https://whc.unesco.org/en/tentativelists/5501/).The Zamani Project received funding from the Andrew W Mellon Foundation at the time of the project.

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    ZivaHub - Open Data UCT
    Dataset . 2020
    License: CC BY NC
    ZivaHub
    Dataset . 2020
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    Data sources: Datacite
    ZivaHub
    Dataset . 2020
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      ZivaHub - Open Data UCT
      Dataset . 2020
      License: CC BY NC
      ZivaHub
      Dataset . 2020
      License: CC BY NC
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      ZivaHub
      Dataset . 2020
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    Authors: Rüther, Heinz; Schröder, Ralph; Bhurtha, Roshan; Held, Christoph; +2 Authors

    This is a GIS file set of the Gede ruins. The data was generated from laser scans, photogrammetric techniques and GPS data. The data maps the site of the Gede ruins in Kilifi County in Kenya. All data is in either the unprojected Geographic (GCS WGS84) or the projected Universal Transverse Mercator 37 South (UTM37S WGS84) coordinate system.The data is packaged as an ESRI Map Package (.mpk). If you are not an ESRI user and wish to unpack the package please rename the file extension to .zip and use a programme, such as 7-Zip, to unpack the package. The package contains shapefiles and images which are compatible with most GIS software. The ruins of Gede (also Gedi), a traditional Arab-African Swahili town, are located just off Kenya’s coastline, some 90km north of Mombasa. Gede was a small town built entirely from stones and rocks, and most of the original foundations are still visible today. Remaining structures at the site include coral stone buildings, mosques, houses and a palace. The town was abandoned in the early 17th century, and Gede’s buildings date back to the 15th century, although it is believed that the site could have been inhabited as early as the 11th or 12th century. The Zamani Project spatially documented the Gede ruins in 2010. In addition to the three principal structures of the Great Mosque, the Small Mosque and the Palace, remains of other structures in the immediate vicinity were also documented.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the UNESCO website (https://whc.unesco.org/en/tentativelists/5501/).The Zamani Project received funding from the Andrew W Mellon Foundation at the time of the project.

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    ZivaHub
    Dataset . 2020
    License: CC BY NC
    Data sources: Datacite
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      ZivaHub
      Dataset . 2020
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    Authors: Murris, Karin; Ngambi, Dick;

    The aims of this collaborative research study between University of Cape Town and University of Sheffield study were to explore the contemporary play environments of children in order to identify the ways in which children’s play is shaped by technology, to examine the relationship between digital play, learning and creativity, and to explore the role of adults in mediating digital play. One of the five objectives was to understand the dynamics operating across the digital ecology of children’s play (in homes, communities and schools) in terms of synergies, dissonance and transfer, and to identify the implications for learning.The study adopted a mixed-methods approach. Parents of 3-11 year-olds were invited to complete a survey, and 30 parents then took part in telephone interviews in order to follow-up themes from the survey in greater detail. Case studies with families were undertaken. In the case studies, parents and children were interviewed and videoed. Parents also filmed their children using technologies, and they and their children were asked questions about the videos. Parents were invited to share images and videos with researchers using WhatsApp. In addition, children in the families were given diaries to record their use of social media and television, and used Go-Pro cameras to record their digital play. Further, children were invited to build a toy they would like to be invented using LEGO bricks. Children were invited to create concept maps on a number of questions relating to play, technology and learning. In addition, the children were observed in schools using technology, and were also observed in a regular after-school club or community venue they visited. In each case, the child’s class teacher and the community/ after school club leader were interviewed. Finally, children in schools took part in focus group interviews in which they were invited to create collages, complete concept maps and build a toy they would like to be invented using LEGO bricks.In this study, we started with 10 families (one family with twins) from 9 schools in the Cape Town area, that is, 11 case-study children (see Table 1), who were selected by the teachers and observed in school. After the school visits, one family (case-study child Fahiema) decided not to participate in the family visits part of the field work. The transcripts for each of the case-study children and the telephonic interviews of 30 parents on follow-up themes from the survey is shared. To protect identities of participants, pseudonyms are used.The following qualitative data is shared: interviews with their teachers; focus-group discussions; community visits; family visits and telephonic parent interviews. NOTE: The research instruments used in this study were adapted from Marsh, J. Stjerne Thomsen, B., Parry, B., Scott, F. Bishop, J.C., Bannister, C., Driscoll, A., Margary, T., Woodgate, A., (2019) Children, Technology and Play. UK Survey Questions. LEGO Foundation.

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    ZivaHub - Open Data UCT
    Dataset . 2020
    License: CC BY
    ZivaHub
    Dataset . 2020
    License: CC BY
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    ZivaHub
    Dataset . 2020
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      ZivaHub - Open Data UCT
      Dataset . 2020
      License: CC BY
      ZivaHub
      Dataset . 2020
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      ZivaHub
      Dataset . 2020
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rüther, Heinz; Schröder, Ralph; Bhurtha, Roshan; Wessels, Stephen; +1 Authors

    This is a GIS file set of the Kua ruins. The data was generated from laser scans, photogrammetric techniques and GPS data. The data maps the site of the Kua ruins on Juani Island in Tanzania. All data is in either the unprojected Geographic (GCS WGS84) or the projected Universal Transverse Mercator 37 South (UTM34S WGS84) coordinate system.The data is packaged as an ESRI Map Package (.mpk). If you are not an ESRI user and wish to unpack the package please rename the file extension to .zip and use a programme, such as 7-Zip, to unpack the package. The package contains shapefiles and images which are compatible with most GIS software.The Kua ruins are all that remains of a medieval Swahili town located on Juani Island in the Mafia Archipelago. The ruins offer insights into an island civilization that saw Portuguese and Omani control as well as independence, enslavement, and eventual abandonment. Indicators of early settlement and trade—including Islamic and Chinese ceramics dating to the thirteenth and fourteenth centuries and currency from mainland Tanzania—have been found in the ruins, while Portuguese accounts from the sixteenth century note the great wealth of the Kua people. The Zamani Project spatially documented some of the Kua ruins in 2018.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the World Monuments Fund website (https://www.wmf.org/project/kua-ruins).All work was carried out as part of the Kua Conservation Project:Co-Directors: Stephane Pradines (ISMC-AKU) and Pierre Blanchard (WMF).Partner institutions: Aga Khan University (AKU); Tanzanian Antiquities; World Monument Fund (WMF), Zamani Project (University of Cape Town) Then Zamani Project contributed accurate 3D models and maps of the site and structures to the Kua Conservation Program.

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    ZivaHub
    Dataset . 2019
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      Dataset . 2019
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    Authors: Schäfer, Sarah;

    Screencasts of 6 participants navigating and exploring a digital museum. Participants engaged with a digital platform before interviews took place. Research for a dissertation submitted in partial fulfillment of an MPhil specialising in Digital Curation at the University of Cape Town. Title of the dissertation: Perceptions and experiences of selected participants engaging with a digitally curated environmental Outsider Art collection.

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    ZivaHub - Open Data UCT
    Dataset . 2018
    License: CC BY
    ZivaHub
    Collection . 2018
    License: CC BY
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    ZivaHub
    Collection . 2018
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      ZivaHub - Open Data UCT
      Dataset . 2018
      License: CC BY
      ZivaHub
      Collection . 2018
      License: CC BY
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      Collection . 2018
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    Authors: Schäfer, Sarah;

    Transcripts of interviews with six voluntary participants for the dissertation submitted in partial fulfillment of an MPhil specialising in Digital Curation at the University of Cape Town. Title of the dissertation: Perceptions and experiences of selected participants engaging with a digitally curated environmental Outsider Art collection.

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    ZivaHub - Open Data UCT; ZivaHub
    Dataset . Collection . 2018
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    ZivaHub
    Collection . 2018
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      ZivaHub - Open Data UCT; ZivaHub
      Dataset . Collection . 2018
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    Authors: Schäfer, Sarah;

    Interviews with six voluntary participants for the dissertation submitted in partial fulfillment of an MPhil specialising in Digital Curation at the University of Cape Town. Title of the dissertation: Perceptions and experiences of selected participants engaging with a digitally curated environmental Outsider Art collection. The participants signed consent forms, but their identities are confidential.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZivaHub - Open Data ...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZivaHub - Open Data UCT
    Dataset . 2018
    License: CC BY
    ZivaHub
    Collection . 2018
    License: CC BY
    Data sources: Datacite
    ZivaHub
    Collection . 2018
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZivaHub - Open Data ...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZivaHub - Open Data UCT
      Dataset . 2018
      License: CC BY
      ZivaHub
      Collection . 2018
      License: CC BY
      Data sources: Datacite
      ZivaHub
      Collection . 2018
      License: CC BY
      Data sources: Datacite
      addClaim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.
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