cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.7283459.v1
title: Sensitivity to morphosyntactic information (Deevy & Leonard, 2018)

description: <b>Purpose: </b>This study tested children’s sensitivity to tense/agreement information in fronted auxiliaries during online comprehension of questions (e.g., <i>Are the nice little dogs running?</i>). Data from children with developmental language disorder (DLD) were compared to previously published data from typically developing (TD) children matched according to sentence comprehension test scores.<b>Method: </b>Fifteen 5-year-old children with DLD and fifteen 3-year-old TD children participated in a looking-while-listening task. Children viewed pairs of pictures, 1 with a single agent and 1 with multiple agents, accompanied by a sentence with a fronted auxiliary (<i>is</i> + single agent or <i>are</i> + two agents) or a control sentence. Proportion looking to the target was measured.<b>Results: </b>Children with DLD did not show anticipatory looking based on the number information contained in the auxiliary (<i>is</i> or <i>are</i>) as the younger TD children had. Both groups showed significant increases in looking to the target upon hearing the subject noun (e.g., <i>dogs</i>).<b>Conclusions:</b> Despite the groups’ similar sentence comprehension abilities and ability to accurately respond to the information provided by the subject noun, children with DLD did not show sensitivity to number information on the fronted auxiliary. This insensitivity is considered in light of these children’s weaker command of tense/agreement forms in their speech. Specifically, we consider the possibility that failure to grasp the relation between the subject–verb sequence (e.g., <i>dogs running</i>) and preceding information (e.g., <i>are</i>) in questions in the input contributes to the protracted inconsistency in producing auxiliary forms in obligatory contexts by children with DLD.<b><br></b><b>Supplemental Material S1.</b> Example illustration paired with target sentences.<br><b>Supplemental Material S2.</b> Sentences used in the experimental task.<br>Deevy, P., & Leonard, L. B. (2018). Sensitivity to morphosyntactic information in preschool children with and without developmental language disorder: A follow-up study. <i>Journal of Speech, Language, and Hearing Research. </i>Advance online publication. https://doi.org/10.1044/2018_JSLHR-L-18-0038<br>
DOI: 10.6084/m9.figshare.7283453
title: Factors associated with inappropriate prescribing among older adults with complex care needs who have undergone the interRAI assessment

description: <b>Aim:</b> To identify factors associated with prescribing potentially inappropriate medications (PIMs) in older adults (≥65 years) with complex care needs, who have undertaken a comprehensive geriatric risk assessment. <b>Methods:</b> A nationwide cross-sectional (retrospective, observational) study was performed. The national interRAI Home Care assessments conducted in New Zealand in 2015 for older adults were linked to the national pharmaceutical prescribing data (PHARMS). The 2015 Beers criteria were applied to the cross-matched data to identify the prevalence of PIMs. The factors influencing PIMs were analyzed using a multinomial logistic regression model. <b>Results:</b> In total, 16,568 older adults were included in this study. Individuals diagnosed with cancer, dementia, insomnia, depression, anxiety, and who were hospitalized in the last 90 days were more likely to be prescribed PIMs than those who were not diagnosed with the above disorders, and who were not hospitalized in the last 90 days. Individuals over 75 years of age, the Māori ethnic group among other ethnicities, individuals who were diagnosed with certain clinical conditions (diabetes, chronic obstructive pulmonary disease, stroke, or congestive cardiac failure), individuals requiring assistance with activities of daily living, and better self-reported health, were associated with a lesser likelihood of being prescribed PIMs. <b>Conclusion:</b> The study emphasizes the identification of factors associated with the prescription of PIMs during the first completed comprehensive geriatric assessment. Targeted strategies to reduce modifiable factors associated with the prescription of PIMs in subsequent assessments has the potential to improve medication management in older adults.
DOI: 10.7284/120509
title: Gyrocompass data collected during research cruise SAV-14-20 using a Yokogawa CMZ700B instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283453.v1
title: Factors associated with inappropriate prescribing among older adults with complex care needs who have undergone the interRAI assessment

description: <b>Aim</b> To identify factors associated with prescribing potentially inappropriate medications (PIMs) in older adults (≥ 65 years) with complex care needs, who have undertaken a comprehensive geriatric risk assessment. <b>Methods:</b> A nationwide cross-sectional (retrospective, observational) study was performed. The national interRAI Home Care assessments conducted in New Zealand in 2015 for older adults were linked to the national pharmaceutical prescribing data (PHARMS). The 2015 Beers criteria were applied to the cross-matched data to identify the prevalence of PIMs. The factors influencing PIMs were analysed using a multinomial logistic regression model. <b>Results:</b> 16,568 older adults were included in this study. Individuals diagnosed with cancer, dementia, insomnia, depression, anxiety, and who were hospitalized in the last 90 days, were more likely to be prescribed PIMs than those who were not diagnosed with the above disorders, and who were not hospitalized in the last 90 days. Individuals over 75 years of age, the Māori ethnic group among other ethnicities, individuals who were diagnosed with certain clinical conditions (diabetes, chronic obstructive pulmonary disease, stroke, or congestive cardiac failure), individuals requiring assistance with activities of daily living and better self-reported health, were associated with a lesser likelihood of being prescribed PIMs. <b>Conclusion:</b> The study emphasizes the identification of factors associated with the prescription of PIMs during the first completed comprehensive geriatric assessment. Targeted strategies to reduce modifiable factors associated with the prescription of PIMs in subsequent assessments has the potential to improve medication management in older adults.
DOI: 10.7284/120507
title: Meteorological Station data collected during research cruise SAV-14-20 using a RM Young 26800 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283453.v3
title: Factors associated with inappropriate prescribing among older adults with complex care needs who have undergone the interRAI assessment

description: <b>Aim:</b> To identify factors associated with prescribing potentially inappropriate medications (PIMs) in older adults (≥65 years) with complex care needs, who have undertaken a comprehensive geriatric risk assessment. <b>Methods:</b> A nationwide cross-sectional (retrospective, observational) study was performed. The national interRAI Home Care assessments conducted in New Zealand in 2015 for older adults were linked to the national pharmaceutical prescribing data (PHARMS). The 2015 Beers criteria were applied to the cross-matched data to identify the prevalence of PIMs. The factors influencing PIMs were analyzed using a multinomial logistic regression model. <b>Results:</b> In total, 16,568 older adults were included in this study. Individuals diagnosed with cancer, dementia, insomnia, depression, anxiety, and who were hospitalized in the last 90 days were more likely to be prescribed PIMs than those who were not diagnosed with the above disorders, and who were not hospitalized in the last 90 days. Individuals over 75 years of age, the Māori ethnic group among other ethnicities, individuals who were diagnosed with certain clinical conditions (diabetes, chronic obstructive pulmonary disease, stroke, or congestive cardiac failure), individuals requiring assistance with activities of daily living, and better self-reported health, were associated with a lesser likelihood of being prescribed PIMs. <b>Conclusion:</b> The study emphasizes the identification of factors associated with the prescription of PIMs during the first completed comprehensive geriatric assessment. Targeted strategies to reduce modifiable factors associated with the prescription of PIMs in subsequent assessments has the potential to improve medication management in older adults.
DOI: 10.6084/m9.figshare.7283405
title: Vina.zip

description: Data from the results of Vina docking of neuraminidase wild-type and mutants.
DOI: 10.7284/120506
title: Singlebeam Echosounder data collected during research cruise SAV-14-20 using a Furuno FCV-582 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283402
title: Neuraminidasa.zip

description: Original PDBs and mol2 files for neuraminidase 2HT8 and the antivirals oseltamivir, zanamivir and permitir.
DOI: 10.6084/m9.figshare.7283405.v1
title: Vina.zip

description: Data from the results of Vina docking of neuraminidase wild-type and mutants.
DOI: 10.6084/m9.figshare.7283453.v2
title: Factors associated with inappropriate prescribing among older adults with complex care needs who have undergone the interRAI assessment

description: <b>Aim:</b> To identify factors associated with prescribing potentially inappropriate medications (PIMs) in older adults (≥65 years) with complex care needs, who have undertaken a comprehensive geriatric risk assessment. <b>Methods:</b> A nationwide cross-sectional (retrospective, observational) study was performed. The national interRAI Home Care assessments conducted in New Zealand in 2015 for older adults were linked to the national pharmaceutical prescribing data (PHARMS). The 2015 Beers criteria were applied to the cross-matched data to identify the prevalence of PIMs. The factors influencing PIMs were analyzed using a multinomial logistic regression model. <b>Results:</b> In total, 16,568 older adults were included in this study. Individuals diagnosed with cancer, dementia, insomnia, depression, anxiety, and who were hospitalized in the last 90 days were more likely to be prescribed PIMs than those who were not diagnosed with the above disorders, and who were not hospitalized in the last 90 days. Individuals over 75 years of age, the Māori ethnic group among other ethnicities, individuals who were diagnosed with certain clinical conditions (diabetes, chronic obstructive pulmonary disease, stroke, or congestive cardiac failure), individuals requiring assistance with activities of daily living, and better self-reported health, were associated with a lesser likelihood of being prescribed PIMs. <b>Conclusion:</b> The study emphasizes the identification of factors associated with the prescription of PIMs during the first completed comprehensive geriatric assessment. Targeted strategies to reduce modifiable factors associated with the prescription of PIMs in subsequent assessments has the potential to improve medication management in older adults.
DOI: 10.7284/120510
title: TSG (Thermosalinograph) data collected during research cruise SAV-14-20 using a Sea-Bird SBE-21 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/120513
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise SAV-14-21 using a Sea-Bird SBE-25 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283144
title: eBird checklist data used to analyze temporal patterns of occurrence of Fox Sparrows in the northeastern United States

description: These data are a filtered version of the 2016 eBird Reference Dataset (https://ebird.org/data/download), which includes only complete checklists and is zero-filled. As such species are treated as absent from any checklist without a positive record of the species. This download consisted of 14,728,627 checklists. <br>The dataset was created by filtering the 2016 eBird Reference Dataset to include only checklists from June and July. I further reduced the dataset by including only checklists from counties in the northern halves of Maine (Aroostook, Penobscot, Piscataquis, Somerset, Franklin, and Oxford) and New Hampshire (Coos and Grafton). Next, I filtered out any checklists associated with survey protocols not compatible with detection of Fox Sparrows during the breeding season, in particular checklists with count types identified as "Yard Count", "Loon Watch", "My Yard eBird", and "Pelagic" (although the former should be unnecessary given the geographic filters applied). Finally, I removed duplicate checklists generated by multiple observers birding together, first verifying that the number of Fox Sparrows recorded on each checklist matched. In 3 cases, Fox Sparrows were observed by only 1 member of a birding group (in all 3 cases, on the primary checklist) and in these cases I retained the checklist that included the observation of Fox Sparrow, the logic being that the bird was present even if only recorded on one of the group checklists. After applying these filters, I was left with 74,881 checklists, which are included here. I then removed column data for all species except the 3 included in analyses: Fox Sparrow (Passerella iliaca) Bicknell's Thrush (Catharus bicknelli), and Blackpoll Warbler (Setophaga striata) and added 3 columns that transformed count data into a binary presence/absence variable for each of the 3 species.<br>This dataset can be described as counts of Blackpoll Warbler, Bicknell's Thrush, and Fox Sparrow from all unique complete checklists submitted to eBird using the historical, stationary, traveling, area, or random protocols and included in the 2016 eBird Reference Dataset from Aroostook, Penobscot, Piscataquis, Somerset, Franklin, and Oxford counties in Maine, USA and Coos and Grafton counties in New Hampshire, USA.
DOI: 10.6084/m9.figshare.7283144.v1
title: eBird checklist data used to analyze temporal patterns of occurrence of Fox Sparrows in the northeastern United States

description: These data are a filtered version of the 2016 eBird Reference Dataset (https://ebird.org/data/download), which includes only complete checklists and is zero-filled. As such species are treated as absent from any checklist without a positive record of the species. This download consisted of 14,728,627 checklists. <br>The dataset was created by filtering the 2016 eBird Reference Dataset to include only checklists from June and July. I further reduced the dataset by including only checklists from counties in the northern halves of Maine (Aroostook, Penobscot, Piscataquis, Somerset, Franklin, and Oxford) and New Hampshire (Coos and Grafton). Next, I filtered out any checklists associated with survey protocols not compatible with detection of Fox Sparrows during the breeding season, in particular checklists with count types identified as "Yard Count", "Loon Watch", "My Yard eBird", and "Pelagic" (although the former should be unnecessary given the geographic filters applied). Finally, I removed duplicate checklists generated by multiple observers birding together, first verifying that the number of Fox Sparrows recorded on each checklist matched. In 3 cases, Fox Sparrows were observed by only 1 member of a birding group (in all 3 cases, on the primary checklist) and in these cases I retained the checklist that included the observation of Fox Sparrow, the logic being that the bird was present even if only recorded on one of the group checklists. After applying these filters, I was left with 74,881 checklists, which are included here. I then removed column data for all species except the 3 included in analyses: Fox Sparrow (Passerella iliaca) Bicknell's Thrush (Catharus bicknelli), and Blackpoll Warbler (Setophaga striata) and added 3 columns that transformed count data into a binary presence/absence variable for each of the 3 species.<br>This dataset can be described as counts of Blackpoll Warbler, Bicknell's Thrush, and Fox Sparrow from all unique complete checklists submitted to eBird using the historical, stationary, traveling, area, or random protocols and included in the 2016 eBird Reference Dataset from Aroostook, Penobscot, Piscataquis, Somerset, Franklin, and Oxford counties in Maine, USA and Coos and Grafton counties in New Hampshire, USA.
DOI: 10.7284/116980
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-14-21 using a Furuno GP-90 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/120514
title: Gyrocompass data collected during research cruise SAV-14-21 using a Yokogawa CMZ700B instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/120512
title: Meteorological Station data collected during research cruise SAV-14-21 using a RM Young 26800 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283102
title: Efficacy of The Rediscovery Process RCT and cohort study

description: A randomised controlled trial evaluated the effect of the intervention on substance usage, flourishing, impulsivity and recovery capital compared to TAU, using a wait list control and intervention group.The outcomes of the cohort (the immediate intervention group (IIG) plus the wait list group (WLG) after attending the TRP) and variance in outcomes from referral route, were evaluated pre, 1 month, 3 months post intervention.<br>
DOI: 10.6084/m9.figshare.7283102.v1
title: Efficacy of The Rediscovery Process RCT and cohort study

description: A randomised controlled trial evaluated the effect of the intervention on substance usage, flourishing, impulsivity and recovery capital compared to TAU, using a wait list control and intervention group.The outcomes of the cohort (the immediate intervention group (IIG) plus the wait list group (WLG) after attending the TRP) and variance in outcomes from referral route, were evaluated pre, 1 month, 3 months post intervention.<br>
DOI: 10.7284/120511
title: Singlebeam Echosounder data collected during research cruise SAV-14-21 using a Furuno FCV-582 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283096
title: Additional file 3_Agri_List of excluded articles at fulltext with reasons for exclusion

description: This file belongs to a following manuscript: "What evidence exists relating to ecotechnologies in agriculture for the recovery and reuse of carbon and nutrients in the boreo-temperate regions? A systematic map”<br> The file contains a list of excluded articles at fulltext with reasons for exclusion.
DOI: 10.7284/120515
title: TSG (Thermosalinograph) data collected during research cruise SAV-14-21 using a Sea-Bird SBE-21 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283093
title: The response of soil bacterial and fungal communities to organic and conventional fertilization: comparing soil DNA and RNA

description: Bacterial and fungal amplicons from 16S and 28S regions using 454-pyrosequencing technique. Bacterial and fungal libraries were run twice for a total of eight libraries. Four libraries from bacterial amplicons (two for DNA and two for cDNA), and four libraries from fungal amplicons (two for DNA and two for cDNA). Each one of these libraries has compressed "sff" files containing fasta, flow and quality data.
DOI: 10.6084/m9.figshare.7283096.v1
title: Additional file 3 List of unretrievable articles

description: List of unretrievable articles in Systematic map of carbon, nitrogen and phosphorus reuse and recovery ecotechnologies in agriculture.
DOI: 10.7284/120518
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise SAV-14-22 using a Sea-Bird SBE-25 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283093.v1
title: The response of soil bacterial and fungal communities to organic and conventional fertilization: comparing soil DNA and RNA

description: Bacterial and fungal amplicons from 16S and 28S regions using 454-pyrosequencing technique. Bacterial and fungal libraries were run twice for a total of eight libraries. Four libraries from bacterial amplicons (two for DNA and two for cDNA), and four libraries from fungal amplicons (two for DNA and two for cDNA). Each one of these libraries has compressed "sff" files containing fasta, flow and quality data.
DOI: 10.6084/m9.figshare.7283093.v2
title: The response of soil bacterial and fungal communities to organic and conventional fertilization: comparing soil DNA and RNA

description: Bacterial and fungal amplicons from 16S and 28S regions using 454-pyrosequencing technique. Bacterial and fungal libraries were run twice for a total of eight libraries. Four libraries from bacterial amplicons (two for DNA and two for cDNA), and four libraries from fungal amplicons (two for DNA and two for cDNA). Each one of these libraries has compressed "sff" files containing fasta, flow and quality data.
DOI: 10.6084/m9.figshare.7283087
title: Global Human Modification

description: The global Human Modification map (HM) provides a cumulative measure of human modification of terrestrial lands across the globe at a 1-km resolution. It is a continuous 0-1 metric that reflects the proportion of a landscape modified based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially-explicit global datasets with a median year of 2016. <br><br>The HM map was developed by scientists at The Nature Conservancy and Conservation Science Partners. For questions or feedback on this map please contact Christina Kennedy (ckennedy@tnc.org) or James Oakleaf. We welcome the opportunity to hear from and to collaborate with researchers on projects that integrate the HM map into their work.<br><br>For a description of the methods and to cite the use of HM map, see:<br>Kennedy CM, Oakleaf JR, Theobald DM, Baruch‐Mordo S, Kiesecker J. Managing the middle: A shift in conservation priorities based on the global human modification gradient. Glob Change Biol. 2019;25:811–826. https://doi.org/10.1111/gcb.14549<br><br>Interactive data viewer available at: http://s3.amazonaws.com/DevByDesign-Web/Apps/gHM/index.html<br><br>
DOI: 10.7284/116981
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-14-22 using a Furuno GP-90 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7283096.v2
title: Additional file 3_Agri_List of excluded articles at fulltext with reasons for exclusion

description: This file belongs to a following manuscript: "What evidence exists relating to ecotechnologies in agriculture for the recovery and reuse of carbon and nutrients in the boreo-temperate regions? A systematic map”<br> The file contains a list of excluded articles at fulltext with reasons for exclusion.
DOI: 10.1184/r1/7282187
title: Supplementary Materials for a Case Study of Analysis Contracts with the ACTIVE tool

description: This archive contains the source code of the ACTIVE tool, and models/data from a case study of analysis contracts in two domains: thread scheduling, and battery design.<br><br><br>