Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
4 Research products, page 1 of 1

  • Digital Humanities and Cultural Heritage
  • Research data
  • 2019-2023
  • Open Access
  • Dataset
  • IE
  • Digital Humanities and Cultural Heritage

Date (most recent)
arrow_drop_down
  • Open Access English
    Authors: 
    O'Reilly, Luke;
    Publisher: PANGAEA
    Project: EC | iAtlantic (818123), SFI | Mapping, Modelling and Mo... (16/IA/4528)

    A remotely operated vehicle mounted (ROV) vibrocorer rig acquired the two cores from the Porcupine Bank Canyon (NE Atlantic) and western Porcupine Bank (NE Atlantic) during the RH17002 and CE18011 research cruises. RH17002_VC7 is a 0.81 m ROV-vibrocore and was acquired from a cold-water coral mound summit on lip of the Porcupine Bank Canyon. CE18011_VC1 is a 1.30 m ROV-vibrocore and was acquired from cold-water coral mound summit on the western Porcupine Bank. To construct a geochronological framework, mixed benthic foraminifera (Cibicides lobatulus, Cibicides refulgens and Discanomalina coronata), monospecific planktic foraminifera (Globigerina bulloides) and cold-water coral pieces (Madrepora oculata) were subjected to radiometric analysis. Results were standardized using PaleoDataView (Langner and Mulitza, 2019) to allow applicability and consistency across synthesis. AMS 14C dates obtained from benthic and planktic foraminifera and CWC fragments collected from cores RH17002_VC7 and CE18011_VC1. Reservoir (res.) ages and error, calibrated (cal.) age determined from Paleo Data View (Langner and Mulitza, 2019). Age model (AM) age was determined using BACON (Blaauw and Christen, 2011). Aggradation rates (AR) are calculated through linear interpolation of acquired ages.

  • Open Access
    Authors: 
    Team, Scientific Data Curation;
    Publisher: figshare
    Project: SFI | Irish Centre for Research... (13/RC/2092)

    This dataset contains key characteristics about the data described in the Data Descriptor Lake Ohrid’s tephrochronological dataset reveals 1.36 Ma of Mediterranean explosive volcanic activity. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format

  • Open Access English
    Authors: 
    Debruyne, Christophe; Munnelly, Gary; Kilgallon, Lynn; O'Sullivan, Declan; Crooks, Peter;
    Publisher: Zenodo
    Project: SFI | ADAPT: Centre for Digital... (13/RC/2106)

    This dataset contains a CSV file and an RDF Turtle file. Both files contain information on a few people mentioned in the Irish Exchequer Payments 1270-1326, a book written by Connolly, P and published by the Irish Manuscripts Commission in 1998. A historian transcribed those people in a CSV file, subsequently transformed into RDF using an R2RML mapping. This dataset contains the records and the output of a handful of people transcribed in this way. This dataset illustrates how the Beyond 2022 project avails of CIDOC-CRM to populate its knowledge graph. Beyond 2022 is funded by the Government of Ireland, through the Department of Culture, Heritage and the Gaeltacht, under the Project Ireland 2040 framework. The project is also partially supported by the ADAPT Centre for Digital Content Technology under the SFI Research Centres Programme (Grant 13/RC/2106).

  • Open Access
    Authors: 
    Broderick, Michael P.; Anderson, Andrew J.; Di Liberto, Giovanni M.; Crosse, Michael J.; Lalor, Edmund C.;
    Publisher: Data Archiving and Networked Services (DANS)
    Project: SFI | The electrophysiology of ... (15/CDA/3316)

    People routinely hear and understand speech at rates of 120–200 words per minute [1, 2]. Thus, speech comprehension must involve rapid, online neural mechanisms that process words’ meanings in an approximately time-locked fashion. However, in the context of continuous speech, electrophysiological evidence for such time-locked processing has been lacking. Whilst valuable insights into the semantic processing of speech have been provided by the “N400 component” of the event-related potential [3-6], this literature has been dominated by paradigms using incongruous words within specially constructed sentences, and may not accurately reflect natural, narrative speech comprehension. Building on the discovery that cortical activity “tracks” the dynamics of running speech [7-9], and psycholinguistic work both demonstrating [10-12] and modeling [13-15] how context rapidly impacts on word processing, we describe a new approach for deriving an electrophysiological correlate of natural speech comprehension. We used a computational model [16] to quantify the meaning carried by each word based on how semantically dissimilar it was to its preceding context and then regressed this quantity against electroencephalographic (EEG) data recorded from subjects as they listened to narrative speech. This produced a prominent negativity at a time-lag of 200–600 ms on centro-parietal EEG channels, characteristics common to the N400. Applying this approach to EEG datasets involving time-reversed speech, cocktail party attention and audiovisual speech-in-noise demonstrated that this response was very sensitive to whether or not subjects understood the speech they heard. These findings demonstrate that, when successfully comprehending natural speech, the human brain responds to the contextual semantic content of each word in a relatively time-locked fashion. Cocktail Party DatasetCocktail Party.zipN400 DatasetN400.zipNatural Speech - Reverse DatasetNatural Speech - Reverse.zipNatural Speech DatasetNatural Speech.zipSpeech in Noise DatasetSpeech in Noise.zip

Powered by OpenAIRE graph
Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
4 Research products, page 1 of 1
  • Open Access English
    Authors: 
    O'Reilly, Luke;
    Publisher: PANGAEA
    Project: EC | iAtlantic (818123), SFI | Mapping, Modelling and Mo... (16/IA/4528)

    A remotely operated vehicle mounted (ROV) vibrocorer rig acquired the two cores from the Porcupine Bank Canyon (NE Atlantic) and western Porcupine Bank (NE Atlantic) during the RH17002 and CE18011 research cruises. RH17002_VC7 is a 0.81 m ROV-vibrocore and was acquired from a cold-water coral mound summit on lip of the Porcupine Bank Canyon. CE18011_VC1 is a 1.30 m ROV-vibrocore and was acquired from cold-water coral mound summit on the western Porcupine Bank. To construct a geochronological framework, mixed benthic foraminifera (Cibicides lobatulus, Cibicides refulgens and Discanomalina coronata), monospecific planktic foraminifera (Globigerina bulloides) and cold-water coral pieces (Madrepora oculata) were subjected to radiometric analysis. Results were standardized using PaleoDataView (Langner and Mulitza, 2019) to allow applicability and consistency across synthesis. AMS 14C dates obtained from benthic and planktic foraminifera and CWC fragments collected from cores RH17002_VC7 and CE18011_VC1. Reservoir (res.) ages and error, calibrated (cal.) age determined from Paleo Data View (Langner and Mulitza, 2019). Age model (AM) age was determined using BACON (Blaauw and Christen, 2011). Aggradation rates (AR) are calculated through linear interpolation of acquired ages.

  • Open Access
    Authors: 
    Team, Scientific Data Curation;
    Publisher: figshare
    Project: SFI | Irish Centre for Research... (13/RC/2092)

    This dataset contains key characteristics about the data described in the Data Descriptor Lake Ohrid’s tephrochronological dataset reveals 1.36 Ma of Mediterranean explosive volcanic activity. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format

  • Open Access English
    Authors: 
    Debruyne, Christophe; Munnelly, Gary; Kilgallon, Lynn; O'Sullivan, Declan; Crooks, Peter;
    Publisher: Zenodo
    Project: SFI | ADAPT: Centre for Digital... (13/RC/2106)

    This dataset contains a CSV file and an RDF Turtle file. Both files contain information on a few people mentioned in the Irish Exchequer Payments 1270-1326, a book written by Connolly, P and published by the Irish Manuscripts Commission in 1998. A historian transcribed those people in a CSV file, subsequently transformed into RDF using an R2RML mapping. This dataset contains the records and the output of a handful of people transcribed in this way. This dataset illustrates how the Beyond 2022 project avails of CIDOC-CRM to populate its knowledge graph. Beyond 2022 is funded by the Government of Ireland, through the Department of Culture, Heritage and the Gaeltacht, under the Project Ireland 2040 framework. The project is also partially supported by the ADAPT Centre for Digital Content Technology under the SFI Research Centres Programme (Grant 13/RC/2106).

  • Open Access
    Authors: 
    Broderick, Michael P.; Anderson, Andrew J.; Di Liberto, Giovanni M.; Crosse, Michael J.; Lalor, Edmund C.;
    Publisher: Data Archiving and Networked Services (DANS)
    Project: SFI | The electrophysiology of ... (15/CDA/3316)

    People routinely hear and understand speech at rates of 120–200 words per minute [1, 2]. Thus, speech comprehension must involve rapid, online neural mechanisms that process words’ meanings in an approximately time-locked fashion. However, in the context of continuous speech, electrophysiological evidence for such time-locked processing has been lacking. Whilst valuable insights into the semantic processing of speech have been provided by the “N400 component” of the event-related potential [3-6], this literature has been dominated by paradigms using incongruous words within specially constructed sentences, and may not accurately reflect natural, narrative speech comprehension. Building on the discovery that cortical activity “tracks” the dynamics of running speech [7-9], and psycholinguistic work both demonstrating [10-12] and modeling [13-15] how context rapidly impacts on word processing, we describe a new approach for deriving an electrophysiological correlate of natural speech comprehension. We used a computational model [16] to quantify the meaning carried by each word based on how semantically dissimilar it was to its preceding context and then regressed this quantity against electroencephalographic (EEG) data recorded from subjects as they listened to narrative speech. This produced a prominent negativity at a time-lag of 200–600 ms on centro-parietal EEG channels, characteristics common to the N400. Applying this approach to EEG datasets involving time-reversed speech, cocktail party attention and audiovisual speech-in-noise demonstrated that this response was very sensitive to whether or not subjects understood the speech they heard. These findings demonstrate that, when successfully comprehending natural speech, the human brain responds to the contextual semantic content of each word in a relatively time-locked fashion. Cocktail Party DatasetCocktail Party.zipN400 DatasetN400.zipNatural Speech - Reverse DatasetNatural Speech - Reverse.zipNatural Speech DatasetNatural Speech.zipSpeech in Noise DatasetSpeech in Noise.zip

Powered by OpenAIRE graph