cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3459632.v34
title: Modality exclusivity norms for 747 properties and concepts in Dutch: a replication of English (Bernabeu, Louwerse, & Willems, in prep.)

description: This study is a cross-linguistic, conceptual replication of Lynott and Connell’s (2009, 2013) modality exclusivity norms. Their English properties and concepts were translated into Dutch, then independently tested as follows. Forty-two respondents rated the auditory, haptic, and visual strength of those words. Mean ratings were then computed, with a high interrater reliability and interitem consistency. Based on the three modalities, each word also features a specific modality exclusivity, and a dominant modality. The norms also include external measures of word frequency, length, distinctiveness, age of acquisition, and known percentage.Starting with the results, unimodal, bimodal, and tri-modal words appear. Visual and haptic experience are quite related, leaving a more independent auditory experience. These different relations are important because they may correlate with different levels of detail in word comprehension (Louwerse & Connell, 2011). Auditory and visual words tend towards unimodality, whereas haptic words tend towards multimodality. Likewise, properties are more unimodal than concepts. The form of words is not quite as arbitrary as we used to think. It is connected to their meaning. This 'sound symbolism' was tested by means of a regression: Auditory strength predicts lexical properties of the words (frequency, distinctiveness...) better than the other modalities do, or else with a different polarity.ReferencesLouwerse, M., & Connell, L. (2011). A taste of words: linguistic context and perceptual simulation predict the modality of words. <i>Cognitive Science, 35, </i>2, 381-98.Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. <i>Behavior Research Methods, 41, </i>2, 558-564.Lynott, D., & Connell, L. (2013). Modality exclusivity norms for 400 nouns: The relationship between perceptual experience and surface word form.<i> Behavior Research Methods, 45</i>, 516-526.All data via the link below.
DOI: 10.6084/m9.figshare.3459632.v35
title: Modality exclusivity norms for 747 properties and concepts in Dutch: a replication of English (Bernabeu, Louwerse, & Willems, in prep.)

description: This study is a cross-linguistic, conceptual replication of Lynott and Connell’s (2009, 2013) modality exclusivity norms. Their English properties and concepts were translated into Dutch, then independently tested as follows. Forty-two respondents rated the auditory, haptic, and visual strength of those words. Mean ratings were then computed, with a high interrater reliability and interitem consistency. Based on the three modalities, each word also features a specific modality exclusivity, and a dominant modality. The norms also include external measures of word frequency, length, distinctiveness, age of acquisition, and known percentage.Starting with the results, unimodal, bimodal, and tri-modal words appear. Visual and haptic experience are quite related, leaving a more independent auditory experience. These different relations are important because they may correlate with different levels of detail in word comprehension (Louwerse & Connell, 2011). Auditory and visual words tend towards unimodality, whereas haptic words tend towards multimodality. Likewise, properties are more unimodal than concepts. The form of words is not quite as arbitrary as we used to think. It is connected to their meaning. This 'sound symbolism' was tested by means of a regression: Auditory strength predicts lexical properties of the words (frequency, distinctiveness...) better than the other modalities do, or else with a different polarity.ReferencesLouwerse, M., & Connell, L. (2011). A taste of words: linguistic context and perceptual simulation predict the modality of words. <i>Cognitive Science, 35, </i>2, 381-98.Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. <i>Behavior Research Methods, 41, </i>2, 558-564.Lynott, D., & Connell, L. (2013). Modality exclusivity norms for 400 nouns: The relationship between perceptual experience and surface word form.<i> Behavior Research Methods, 45</i>, 516-526.All data via the link below.
DOI: 10.6084/m9.figshare.3459632.v36
title: Modality exclusivity norms for 747 properties and concepts in Dutch: a replication of English (Bernabeu, Louwerse, & Willems, in prep.)

description: This study is a cross-linguistic, conceptual replication of Lynott and Connell’s (2009, 2013) modality exclusivity norms. Their English properties and concepts were translated into Dutch, then independently tested as follows. Forty-two respondents rated the auditory, haptic, and visual strength of those words. Mean ratings were then computed, with a high interrater reliability and interitem consistency. Based on the three modalities, each word also features a specific modality exclusivity, and a dominant modality. The norms also include external measures of word frequency, length, distinctiveness, age of acquisition, and known percentage.Starting with the results, unimodal, bimodal, and tri-modal words appear. Visual and haptic experience are quite related, leaving a more independent auditory experience. These different relations are important because they may correlate with different levels of detail in word comprehension (Louwerse & Connell, 2011). Auditory and visual words tend towards unimodality, whereas haptic words tend towards multimodality. Likewise, properties are more unimodal than concepts. The form of words is not quite as arbitrary as we used to think. It is connected to their meaning. This 'sound symbolism' was tested by means of a regression: Auditory strength predicts lexical properties of the words (frequency, distinctiveness...) better than the other modalities do, or else with a different polarity.ReferencesLouwerse, M., & Connell, L. (2011). A taste of words: linguistic context and perceptual simulation predict the modality of words. <i>Cognitive Science, 35, </i>2, 381-98.Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. <i>Behavior Research Methods, 41, </i>2, 558-564.Lynott, D., & Connell, L. (2013). Modality exclusivity norms for 400 nouns: The relationship between perceptual experience and surface word form.<i> Behavior Research Methods, 45</i>, 516-526.The entire data set and analyses are available via the link below.
DOI: 10.6084/m9.figshare.3459632.v37
title: Modality exclusivity norms for 747 properties and concepts in Dutch: a replication of English (Bernabeu, Louwerse, & Willems, in prep.)

description: This study is a cross-linguistic, conceptual replication of Lynott and Connell’s (2009, 2013) modality exclusivity norms. Their English properties and concepts were translated into Dutch, then independently tested as follows. Forty-two respondents rated the auditory, haptic, and visual strength of those words. Mean ratings were then computed, with a high interrater reliability and interitem consistency. Based on the three modalities, each word also features a specific modality exclusivity, and a dominant modality. The norms also include external measures of word frequency, length, distinctiveness, age of acquisition, and known percentage.Starting with the results, unimodal, bimodal, and tri-modal words appear. Visual and haptic experience are quite related, leaving a more independent auditory experience. These different relations are important because they may correlate with different levels of detail in word comprehension (Louwerse & Connell, 2011). Auditory and visual words tend towards unimodality, whereas haptic words tend towards multimodality. Likewise, properties are more unimodal than concepts. The form of words is not quite as arbitrary as we used to think. It is connected to their meaning. This 'sound symbolism' was tested by means of a regression: Auditory strength predicts lexical properties of the words (frequency, distinctiveness...) better than the other modalities do, or else with a different polarity.ReferencesLouwerse, M., & Connell, L. (2011). A taste of words: linguistic context and perceptual simulation predict the modality of words. <i>Cognitive Science, 35, </i>2, 381-98.Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. <i>Behavior Research Methods, 41, </i>2, 558-564.Lynott, D., & Connell, L. (2013). Modality exclusivity norms for 400 nouns: The relationship between perceptual experience and surface word form.<i> Behavior Research Methods, 45</i>, 516-526.The entire data set and analyses are available via the link below.
DOI: 10.6084/m9.figshare.3459632.v38
title: Modality exclusivity norms for 747 properties and concepts in Dutch: a replication of English (Bernabeu, Louwerse, & Willems, in prep.)

description: This study is a cross-linguistic, conceptual replication of Lynott and Connell’s (2009, 2013) modality exclusivity norms. Their English properties and concepts were translated into Dutch, then independently tested as follows. Forty-two respondents rated the auditory, haptic, and visual strength of those words. Mean ratings were then computed, with a high interrater reliability and interitem consistency. Based on the three modalities, each word also features a specific modality exclusivity, and a dominant modality. The norms also include external measures of word frequency, length, distinctiveness, age of acquisition, and known percentage.Starting with the results, unimodal, bimodal, and tri-modal words appear. Visual and haptic experience are quite related, leaving a more independent auditory experience. These different relations are important because they may correlate with different levels of detail in word comprehension (Louwerse & Connell, 2011). Auditory and visual words tend towards unimodality, whereas haptic words tend towards multimodality. Likewise, properties are more unimodal than concepts. The form of words is not quite as arbitrary as we used to think. It is connected to their meaning. This 'sound symbolism' was tested by means of a regression: Auditory strength predicts lexical properties of the words (frequency, distinctiveness...) better than the other modalities do, or else with a different polarity.ReferencesLouwerse, M., & Connell, L. (2011). A taste of words: linguistic context and perceptual simulation predict the modality of words. <i>Cognitive Science, 35, </i>2, 381-98.Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. <i>Behavior Research Methods, 41, </i>2, 558-564.Lynott, D., & Connell, L. (2013). Modality exclusivity norms for 400 nouns: The relationship between perceptual experience and surface word form.<i> Behavior Research Methods, 45</i>, 516-526.The entire data set and analyses are available via the link below.
DOI: 10.6084/m9.figshare.3459632.v41
title: Modality exclusivity norms for 747 properties and concepts in Dutch: a replication of English (in prep.)

description: This study is a cross-linguistic, conceptual replication of Lynott and Connell’s (2009, 2013) modality exclusivity norms. Their English properties and concepts were translated into Dutch, then independently tested as follows. Forty-two respondents rated the auditory, haptic, and visual strength of those words. Mean ratings were then computed, with a high interrater reliability and interitem consistency. Based on the three modalities, each word also features a specific modality exclusivity, and a dominant modality. The norms also include external measures of word frequency, length, distinctiveness, age of acquisition, and known percentage.<br>Starting with the results, unimodal, bimodal, and tri-modal words appear. Visual and haptic experience are quite related, leaving a more independent auditory experience. These different relations are important because they may correlate with different levels of detail in word comprehension (Louwerse & Connell, 2011). Auditory and visual words tend towards unimodality, whereas haptic words tend towards multimodality. Likewise, properties are more unimodal than concepts. The form of words is not quite as arbitrary as we used to think. It is connected to their meaning. This 'sound symbolism' was tested by means of a regression: Auditory strength predicts lexical properties of the words (frequency, distinctiveness...) better than the other modalities do, or else with a different polarity.See a <b>brief article here.</b>ReferencesLouwerse, M., & Connell, L. (2011). A taste of words: linguistic context and perceptual simulation predict the modality of words. <i>Cognitive Science, 35, </i>2, 381-98.Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. <i>Behavior Research Methods, 41, </i>2, 558-564.Lynott, D., & Connell, L. (2013). Modality exclusivity norms for 400 nouns: The relationship between perceptual experience and surface word form.<i> Behavior Research Methods, 45</i>, 516-526.The entire data set and analyses are available via the link below.
DOI: 10.6084/m9.figshare.3459551
title: Flipped learning in the research literature 2000-2015 (data)

description: Data from an ERIC database search showing the number of peer-reviewed articles per year (from 2000 to 2015) that contain "flipped classroom", "flipped learning", or "inverted classroom" in the title or abstract. Contains a column for each term and a total column.
DOI: 10.6084/m9.figshare.3459551.v2
title: Flipped learning in the research literature 2000-2015 (data)

description: Data from an ERIC database search showing the number of peer-reviewed articles per year (from 2000 to 2015) that contain "flipped classroom", "flipped learning", or "inverted classroom" in the title or abstract. Contains a column for each term and a total column.
DOI: 10.6084/m9.figshare.3459551.v1
title: FL-research.csv

description: Data from an ERIC database search showing the number of peer-reviewed articles per year (from 2000 to 2015) that contain "flipped classroom", "flipped learning", or "inverted classroom" in the title or abstract. Contains a column for each term and a total column.
DOI: 10.6084/m9.figshare.3459524
title: Tree-ring width and pseudopopulations

description: These data were used to validate a new statistical approach to detect individual growth response in tree-ring data. For further details, we refer to our publication: Allan Buras et al. (2016): Tuning the voices of a choir: detecting ecological gradients in time-series populations, accepted for publication with PlosONE.<br>
DOI: 10.6084/m9.figshare.3459524.v1
title: Tree-ring width and pseudopopulations

description: These data were used to validate a new statistical approach to detect individual growth response in tree-ring data. For further details, we refer to our publication: Allan Buras et al. (2016): Tuning the voices of a choir: detecting ecological gradients in time-series populations, accepted for publication with PlosONE.<br>
DOI: 10.6084/m9.figshare.3459437
title: Tesis y disertaciones no catalogadas para la Facultad de Ciencias Naturales, Recinto de Río Piedras, UPR

description: El gráfico muestra la cantidad total por año de trabajos de grado no catalogados para la Facultad de Ciencias Naturales, recinto de Río Piedras, UPR.<br>
DOI: 10.6084/m9.figshare.3459437.v1
title: Tesis y disertaciones no catalogadas para la Facultad de Ciencias Naturales, Recinto de Río Piedras, UPR

description: El gráfico muestra la cantidad total por año de trabajos de grado no catalogados para la Facultad de Ciencias Naturales, recinto de Río Piedras, UPR.<br>
DOI: 10.6084/m9.figshare.3459437.v2
title: Tesis y disertaciones no catalogadas para la Facultad de Ciencias Naturales, Recinto de Río Piedras, UPR

description: El gráfico muestra la cantidad total por año de trabajos de grado no catalogados para la Facultad de Ciencias Naturales, recinto de Río Piedras, UPR.<br>
DOI: 10.6084/m9.figshare.3459437.v3
title: Tesis y disertaciones no catalogadas para la Facultad de Ciencias Naturales, Recinto de Río Piedras, UPR

description: El gráfico muestra la cantidad total por año de trabajos de grado no catalogados para la Facultad de Ciencias Naturales, recinto de Río Piedras, UPR.<br>
DOI: 10.6084/m9.figshare.3459401
title: Data

description: Data used in:Moore, J. L., Lipcius, R. N., Puckett, B. and Schreiber, S. J. (2016), The demographic consequences of growing older and bigger in oyster populations. Ecol Appl. Accepted Author Manuscript. doi:10.1002/eap.1374
DOI: 10.6084/m9.figshare.3459401.v1
title: Data

description: Data used in:Moore, J. L., Lipcius, R. N., Puckett, B. and Schreiber, S. J. (2016), The demographic consequences of growing older and bigger in oyster populations. Ecol Appl. Accepted Author Manuscript. doi:10.1002/eap.1374
DOI: 10.6084/m9.figshare.3459299
title: Degradation of Crude Oil and PAHs in Iron–Manganese Concretions and Sediment from the Northern Baltic Sea

description: The ability of different sea bottom types to recover from oil contamination under oxic and anoxic conditions is poorly known in the brackish Baltic Sea. We carried out microcosm experiments to examine the capacity of iron–manganese concretions and sediment to remove petroleum compounds at 10°C. The biological degradation potential of polycyclic aromatic hydrocarbons (PAHs) was indicated by the 1000-fold increase in the copy numbers of PAH-degradation genes resulting in 2.2 × 10<sup>6</sup> gene copies g<sup>−1</sup> DW. In the experiments 35−81% of the crude oil and 96% of PAHs disappeared through abiotic and biotic pathways, and there was little difference between the concretions and sediment. Bacterial community analysis revealed that the bacterial sequences obtained from the oil-treated concretions were affiliated to groups typical for concretions and metal-rich environments, whereas oil-treated sediment sequences were similar to those originating from sediments and oil-contaminated environments. The high frequency of concretion clones affiliated with specific taxonomic groups of α-, β-, γ-, and δ-proteobacteria may indicate the existence of new clades of bacteria within the Rhizobiales and Rhodospirillales of the α-proteobacteria, Burkholderiales—incertae sedis of the β-proteobacteria, Chromatiales of the γ-proteobacteria and the Syntrophobacteriales of the δ-proteobacteria. Our study suggests that concretions and bottom sediment maintain rich, distinct bacterial communities under oil exposure that have the potential to remove petroleum compounds in oxic and anoxic conditions.
DOI: 10.6084/m9.figshare.3459299.v2
title: Degradation of Crude Oil and PAHs in Iron–Manganese Concretions and Sediment from the Northern Baltic Sea

description: The ability of different sea bottom types to recover from oil contamination under oxic and anoxic conditions is poorly known in the brackish Baltic Sea. We carried out microcosm experiments to examine the capacity of iron–manganese concretions and sediment to remove petroleum compounds at 10°C. The biological degradation potential of polycyclic aromatic hydrocarbons (PAHs) was indicated by the 1000-fold increase in the copy numbers of PAH-degradation genes resulting in 2.2 × 10<sup>6</sup> gene copies g<sup>−1</sup> DW. In the experiments 35−81% of the crude oil and 96% of PAHs disappeared through abiotic and biotic pathways, and there was little difference between the concretions and sediment. Bacterial community analysis revealed that the bacterial sequences obtained from the oil-treated concretions were affiliated to groups typical for concretions and metal-rich environments, whereas oil-treated sediment sequences were similar to those originating from sediments and oil-contaminated environments. The high frequency of concretion clones affiliated with specific taxonomic groups of α-, β-, γ-, and δ-proteobacteria may indicate the existence of new clades of bacteria within the Rhizobiales and Rhodospirillales of the α-proteobacteria, Burkholderiales—incertae sedis of the β-proteobacteria, Chromatiales of the γ-proteobacteria and the Syntrophobacteriales of the δ-proteobacteria. Our study suggests that concretions and bottom sediment maintain rich, distinct bacterial communities under oil exposure that have the potential to remove petroleum compounds in oxic and anoxic conditions.
DOI: 10.6084/m9.figshare.3459299.v1
title: Degradation of crude oil and PAHs in iron–manganese concretions and sediment from the northern Baltic Sea

description: The ability of different sea bottom types to recover from oil contamination under oxic and anoxic conditions is poorly known in the brackish Baltic Sea. We carried out microcosm experiments to examine the capacity of iron–manganese concretions and sediment to remove petroleum compounds at 10°C. The biological degradation potential of polycyclic aromatic hydrocarbons (PAHs) was indicated by the 1000–fold increase in the copy numbers of PAH–degradation genes resulting in 2.2 × 10<sup>6</sup> gene copies g<sup>−1</sup> DW. In the experiments 35−81% of the crude oil and 96% of PAHs disappeared through abiotic and biotic pathways, and there was little difference between the concretions and sediment. Bacterial community analysis revealed that the bacterial sequences obtained from the oil–treated concretions were affiliated to groups typical for concretions and metal-rich environments, whereas oil-treated sediment sequences were similar to those originating from sediments and oil–contaminated environments. The high frequency of concretion clones affiliated with specific taxonomic groups of α– β– γ– and δ–<i>proteobacteria</i> may indicate the existence of new clades of bacteria within the <i>Rhizobiales</i> and <i>Rhodospirillales</i> of the α–<i>proteobacteria, Burkholderiales</i>–incetertae–sedis of the β–<i>proteobacteria, Chromatiales</i> of the γ–<i>proteobacteria</i> and the <i>Syntrophobacteriales</i> of the δ–<i>proteobacteria</i>. Our study suggests that concretions and bottom sediment maintain rich, distinct bacterial communities under oil exposure that have the potential to remove petroleum compounds in oxic and anoxic conditions.