cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7925/drs1.duchas_4819372
title: Na Díshealbhuithe

description: Story collected by Labhaoise Ní Phóil, a student at Gleann Beithe school (Glenbeigh, Co. Kerry) from informant Máirtín Ó Muineacháin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Nóra, Bean Uí Fhoghludha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4529972
title: Proverbs

description: Story collected by Fanny Ann Beattie, a student at Carrowreagh school (Carrowreagh, Co. Donegal) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Annie Davidson.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4819374
title: Na Díshealbhuithe

description: Story collected by Brighidh Ní Shúilleabháin, a student at Gleann Beithe school (Glenbeigh, Co. Kerry) from informant Bean Uí Gráda.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Nóra, Bean Uí Fhoghludha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4529973
title: Secret Hoards - Elizabethan Coins Found in a Quarry

description: Story collected by Annie Davison, a student at Carrowreagh school (Carrowreagh, Co. Donegal) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Annie Davidson.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4819375
title: Reilig

description: Story collected by Nóra Ní Ríoghbhardáin, a student at Gleann Beithe school (Glenbeigh, Co. Kerry) from informant Seán M. Ó Riordáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Nóra, Bean Uí Fhoghludha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4529974
title: Old Houses

description: Story collected by Joan Peoples, a student at Carrowreagh school (Carrowreagh, Co. Donegal) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Annie Davidson.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4819377
title: Reilig

description: Story collected by Labhaoise Ní Phóil, a student at Gleann Beithe school (Glenbeigh, Co. Kerry) from informant Bean Uí Póil.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Nóra, Bean Uí Fhoghludha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4819378
title: Díshealbhuithe

description: Story collected by Nóra Ní Ríoghbhardáin, a student at Gleann Beithe school (Glenbeigh, Co. Kerry) from informant Sean M. O Riordáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Nóra, Bean Uí Fhoghludha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.6084/m9.figshare.19440986
title: Excel State Example.zip

description: Excel spreadsheet that lists the USGS monitoring wells and corresponding data for the state of Arizona.<br>
DOI: 10.25810/8pez-h060.26
title: Asian Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.19448435
title: Excel Arizona Example

description: Excel spreadsheet with VBA code that stores monitoring well data for the state of Arizona and computes annual average water table depth and groundwater head.
DOI: 10.6084/m9.figshare.19448435.v1
title: Excel Arizona Example

description: Excel spreadsheet with VBA code that stores monitoring well data for the state of Arizona and computes annual average water table depth and groundwater head.
DOI: 10.6084/m9.figshare.19448438
title: Excel State Example - Arizona

description: Excel spreadsheet that contains monitoring well data for Arizona, and a VBA code that computes annual average water table elevation and groundwater head.
DOI: 10.25810/558f-c477.47
title: Australian Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.19441016
title: GIS shape file of annual average water table depth - CONUS

description: GIS shape file of annual average water table depth - CONUS
DOI: 10.6084/m9.figshare.19441034
title: GIS shape file of annual water table depth counts - CONUS

description: GIS shape file of annual water table depth counts - CONUS
DOI: 10.6084/m9.figshare.19448408
title: download data

description: Raw data downloaded from open data sources.
DOI: 10.5285/0f3d9228-2f4a-4f2c-bbe6-ee8a123db58d
title: Southern Hemisphere winter sea ice concentration simulated by HadCM3 to best explain the early last interglacial Antarctic isotope peak

description: The file contains Southern Hemisphere winter (September) sea ice concentration (sic) from a simulation performed using the isotope-enabled HadCM3 climate model forced with early last interglacial boundary conditions, centred approximately 128,000 years ago. The resulting sic represents a reduction in winter sea ice area of approximately 54% relative to pre-industrial and is proposed as the best explanation for the Antarctic ice core data from 128,000 years ago. The spatial pattern of sea ice retreat was determined using a large ensemble of model experiments and a pattern search optimization approach to match the last interglacial ice core isotope peak. Further details can be found in the published manuscript (https://doi.org/10.1002/2017GL074594).
description: This is output from a simulation using the isotope-enabled HadCM3 climate model forced with early last interglacial boundary conditions (orbital configuration and greenhouse-gas concentrations), centred approximately 128,000 years ago. Sea ice concentration has been re-gridded from the native global model grid to a higher resolution latitude-longitude grid covering the latitude range from 52.5 to 80.5°S. Further details can be found in the published manuscript (https://doi.org/10.1002/2017GL074594).
description: Masked NaN values represent grid points that are land.
DOI: 10.6084/m9.figshare.16645538
title: Modelling Maltese noun plural classes without morphemes

description: Word-based models of morphology propose that complex words are stored without reference to morphemes. One of the questions that arises is whether information about word forms alone is enough to determine a noun's number from its form. We take up this question by modelling the classification and production of the Maltese noun plural system, using models that do not assume morphemic representations. We use the Tilburg Memory-Based Learner, a computational implementation of exemplar theory and the Naive Discriminative Learner, an implementation of Word and Paradigm, for classification. Both models classify Maltese nouns well. In their current implementations, TiMBL and NDL cannot concatenate sequences of phones that result in word forms. We used two neural networks architectures (LSTM and GRU) to model the production of plurals. We conclude that the Maltese noun plural system can be modelled on the basis of whole words without morphemes, supporting word-based models of morphology.
DOI: 10.6084/m9.figshare.16554037
title: Language comprehension may depend on who you are: how personality traits and social presence seemingly modulate syntactic processing

description: Although it has been scarcely investigated, personality might help shape language comprehension during social interaction. The aim is to investigate how differences in personality might affect morphosyntactic processing and whether it may be affected by social presence. In a correctness judgement task, participants read sentences that were correct or contained a morphosyntactic error, either while alone or in the mere presence of a confederate. Participants’ NEO-FFI personality inventory scores were used to analyse behavioural, and event related potential data. Neuroticism and Extraversion interacted with error rate and reaction time, while Conscientiousness only interacted with reaction time. A weak N400-like component to morphosyntactic anomalies was triggered for introverts in the social presence condition, compared to a LAN in the alone one, while a LAN was triggered in both conditions for extraverts. Whereas higher Conscientiousness was related to a stronger LAN and a weaker P600 component, lower Conscientiousness reflected the opposite pattern.
DOI: 10.6084/m9.figshare.16645538.v2
title: Modelling Maltese noun plural classes without morphemes

description: Word-based models of morphology propose that complex words are stored without reference to morphemes. One of the questions that arises is whether information about word forms alone is enough to determine a noun's number from its form. We take up this question by modelling the classification and production of the Maltese noun plural system, using models that do not assume morphemic representations. We use the Tilburg Memory-Based Learner, a computational implementation of exemplar theory and the Naive Discriminative Learner, an implementation of Word and Paradigm, for classification. Both models classify Maltese nouns well. In their current implementations, TiMBL and NDL cannot concatenate sequences of phones that result in word forms. We used two neural networks architectures (LSTM and GRU) to model the production of plurals. We conclude that the Maltese noun plural system can be modelled on the basis of whole words without morphemes, supporting word-based models of morphology.
DOI: 10.6084/m9.figshare.16840165
title: Neural correlates of semantic integration in Spanish verb-noun compounds: an ERP study

description: It is assumed that semantic transparency in compounds depends on integration of constituents and head transparency. Spanish verb-noun compounds are semantically and morphologically exocentric, lacking a head. We studied if verb argument structure determines differences in semantic integration and morphological decomposition. During a lexical decision task, Agentives (referent takes the role of agent), and Metaphoricals (involving methaphorical patterns to construct meaning), were displayed as whole words or separated into constituents. Agentives were responded better and faster than Metaphoricals, with no interaction between compound type and presentation mode, suggesting constituent decomposition for both compounds. Early electrophysiological effects related to visual recognition, and an N400 component for Metaphoricals, suggest constituent semantic integration. Differences seemed related to combinatorial procedures: in Agentives the meaning of constituents is easily integrated to form compound meaning; in Metaphoricals, this procedure is inhibited, and compound meaning is accessed through the metaphoric relation that links both constituents.
DOI: 10.6084/m9.figshare.16840165.v1
title: Neural correlates of semantic integration in Spanish verb-noun compounds: an ERP study

description: It is assumed that semantic transparency in compounds depends on integration of constituents and head transparency. Spanish verb-noun compounds are semantically and morphologically exocentric, lacking a head. We studied if verb argument structure determines differences in semantic integration and morphological decomposition. During a lexical decision task, Agentives (referent takes the role of agent), and Metaphoricals (involving methaphorical patterns to construct meaning), were displayed as whole words or separated into constituents. Agentives were responded better and faster than Metaphoricals, with no interaction between compound type and presentation mode, suggesting constituent decomposition for both compounds. Early electrophysiological effects related to visual recognition, and an N400 component for Metaphoricals, suggest constituent semantic integration. Differences seemed related to combinatorial procedures: in Agentives the meaning of constituents is easily integrated to form compound meaning; in Metaphoricals, this procedure is inhibited, and compound meaning is accessed through the metaphoric relation that links both constituents.
DOI: 10.6084/m9.figshare.16554037.v2
title: Language comprehension may depend on who you are: how personality traits and social presence seemingly modulate syntactic processing

description: Although it has been scarcely investigated, personality might help shape language comprehension during social interaction. The aim is to investigate how differences in personality might affect morphosyntactic processing and whether it may be affected by social presence. In a correctness judgement task, participants read sentences that were correct or contained a morphosyntactic error, either while alone or in the mere presence of a confederate. Participants’ NEO-FFI personality inventory scores were used to analyse behavioural, and event related potential data. Neuroticism and Extraversion interacted with error rate and reaction time, while Conscientiousness only interacted with reaction time. A weak N400-like component to morphosyntactic anomalies was triggered for introverts in the social presence condition, compared to a LAN in the alone one, while a LAN was triggered in both conditions for extraverts. Whereas higher Conscientiousness was related to a stronger LAN and a weaker P600 component, lower Conscientiousness reflected the opposite pattern.
DOI: 10.6084/m9.figshare.16554037.v1
title: Language comprehension may depend on who you are: how personality traits and social presence seemingly modulate syntactic processing

description: Although it has been scarcely investigated, personality might help shape language comprehension during social interaction. The aim is to investigate how differences in personality might affect morphosyntactic processing and whether it may be affected by social presence. In a correctness judgement task, participants read sentences that were correct or contained a morphosyntactic error, either while alone or in the mere presence of a confederate. Participants’ NEO-FFI personality inventory scores were used to analyse behavioural, and event related potential data. Neuroticism and Extraversion interacted with error rate and reaction time, while Conscientiousness only interacted with reaction time. A weak N400-like component to morphosyntactic anomalies was triggered for introverts in the social presence condition, compared to a LAN in the alone one, while a LAN was triggered in both conditions for extraverts. Whereas higher Conscientiousness was related to a stronger LAN and a weaker P600 component, lower Conscientiousness reflected the opposite pattern.
DOI: 10.6084/m9.figshare.16645538.v1
title: Modelling Maltese noun plural classes without morphemes

description: Word-based models of morphology propose that complex words are stored without reference to morphemes. One of the questions that arises is whether information about word forms alone is enough to determine a noun's number from its form. We take up this question by modelling the classification and production of the Maltese noun plural system, using models that do not assume morphemic representations. We use the Tilburg Memory-Based Learner, a computational implementation of exemplar theory and the Naive Discriminative Learner, an implementation of Word and Paradigm, for classification. Both models classify Maltese nouns well. In their current implementations, TiMBL and NDL cannot concatenate sequences of phones that result in word forms. We used two neural networks architectures (LSTM and GRU) to model the production of plurals. We conclude that the Maltese noun plural system can be modelled on the basis of whole words without morphemes, supporting word-based models of morphology.
DOI: 10.6073/pasta/ee64f2c8284ae3488d3dc763058b9365
title: Long term limnological measures in Acton Lake, a southwest Ohio reservoir, and its inflow streams: 1992-2017

description: Long-term data were collected from Acton Lake and its inflow streams, on a suite of physical, chemical and biological variables. The data are collected as part of long-term research investigating how Acton Lake, a eutrophic reservoir, responds to changes in ecosystem subsidies of detritus (sediments) and nutrients. Our data span 26 years, from 1992-2017, although for some parameters the data set spans a shorter time frame within this period. In three of Acton Lake's inflow streams, collectively constituting ~86% of the lake's watershed, we include data on hourly stream discharge, as well as concentrations of suspended sediments, ammonium-nitrogen (N), nitrate-N, and soluble reactive phosphorus (P). Data on the concentrations of these constituents were collected at various time scales depending on stream discharge (usually every 6-8 hours during storms, every 1-3 days during baseflow). In Acton Lake, we collected data on several parameters from an "outflow" site, at the deepest part of the lake where there is usually stable thermal stratification in summer. Vertical profile data were collected for temperature, dissolved oxygen, and "light" (photosynthetically active radiation, PAR). Depth profile data were collected at 0.5 or 1 m intervals (depending on depth and year), usually from April or May until September or October. In addition, data for several parameters were obtained from "integrated samples" that collect water from the lake surface to the bottom of the euphotic zone (defined as the depth at which PAR equals 1% of PAR at the surface) with a tube or pump. Parameters for which integrated data are presented include chlorophyll; suspended solids; non-volatile suspended solids; particulate (seston) carbon, nitrogen and phosphorus; and total nitrogen and total phosphorus. We also collected Secchi depth data, using standard methods. Larval fish were collected in the top 2 meters of the water column with a metered net to generate estimates of larval fish density. Finally, zooplankton were collected by towing a net vertically through the water column; we present data on total zooplankton biomass here. In addition, these data were used in conjunction with a related project that quantified burial rates of sediments, carbon, and nutrients in ponds specifically built to trap sediments and thereby reduce sedimentation in Acton Lake. Data from this pond burial project can be found here: https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=1108 for Temporal patterns in sediment, carbon, and nutrient burial in ponds associated with changing agricultural tillage by Rogers et al. 2022 (DOI: https://doi.org/10.1007/s10533-022-00916-w).
DOI: 10.6084/m9.figshare.19441046
title: GIS shape file of annual average groundwater head - CONUS

description: GIS shape file of annual average groundwater head - CONUS
DOI: 10.6084/m9.figshare.19448459
title: process data

description: processed data use directly in the codes
DOI: 10.6084/m9.figshare.19448165.v1
title: Weak Dewar bond modulates protonated azaindole photodynamics

description: Netwon-X input and output files for the surface hopping dynamics for 6 and 7 protonated azaindoles.
DOI: 10.25676/11124/80343
title: CART 2 (2-bladed Controls Advanced Research Turbine) Variable Speed Data

description: Data is saved in a .dat format with supporting files in .c, .h, and .hdr formats. The supporting files can be read with any text editor. The .dat files are most easily read using the accompanying Matlab (.m) files.
description: Data is from NREL's 2-bladed Controls Advanced Research Turbine (CART2) operating in variable speed mode on April 27, 2002. 4.5 hours of data collected at 100 Hz from 90 sensor channels are available from 18:24-22:54 UTC.
DOI: 10.25676/11124/172053
title: Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena

description: The .zip file contains raw GPR data, soil moisture probe data, and all numerical simulations. A README file is included that describes the contents of each file. Analysis of the GPR data was carried out using commercial software.
description: Ground-penetrating radar (GPR) reflection tomography algorithms allow non-invasive monitoring of water content changes resulting from flow in the vadose zone. The approach requires multi-offset GPR data that is traditionally slow to collect. We automate GPR data collection to reduce the survey time by orders of magnitude, thereby making this approach to hydrologic monitoring feasible. The method was evaluated using numerical simulations and laboratory experiments that suggest reflection tomography can provide water content estimates to within 5-10% vol./vol. for the synthetic studies, whereas the empirical estimates were typically within 5-15% of in-situ probes. Both studies show larger observed errors in water content near the periphery of the wetting front, beyond which additional reflectors were not present to provide data coverage. Automation of GPR data collection enables higher-order data analysis algorithms, like reflection tomography, that show promise in resolving details of the spatial distribution of water content in soils through time.
DOI: 10.25345/c5k06x47d
title: MassIVE MSV000089146 - Zinc deficiency effect in Prunus roots v2
title: The Zinc deficiency effect in the root metabolism in Prunus rootstock GF 677