cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8408577
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Mary Martha Vile Eaton Davey, http://www.wikidata.org/entity/Q115020987. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115020987
DOI: 10.5281/zenodo.8408576
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Mary Martha Vile Eaton Davey, http://www.wikidata.org/entity/Q115020987. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115020987
DOI: 10.5281/zenodo.8407883
title: LargemouthBassHookLearning_IntialRelease

description: Code and analyses from Largemouth Bass Hook Learning experiment.
DOI: 10.5281/zenodo.8407882
title: LargemouthBassHookLearning_IntialRelease

description: Code and analyses from Largemouth Bass Hook Learning experiment.
DOI: 10.5066/f7pn93qf
title: Temperature and geophysical data collected along the Quashnet River, Mashpee/Falmouth MA (ver. 2.0, March 2020)

description: The temperature and surface geophysical data contained in this release have primarily been collected to support groundwater/surface water methods development, and to characterize the hydrogeological controls on native brook trout habitat. All data have been collected since 2010 along the Quashnet River corridor located on Cape Cod, MA, USA. Cape Cod is a peninsula in southeastern coastal Massachusetts, USA, composed primarily of highly permeable unconsolidated glacial moraine and outwash deposits. The largest of the Cape Cod sole-source aquifers occupies a western (landward) section of the peninsula, and is incised by several linear valleys that drain groundwater south to the Atlantic Ocean via baseflow-dominated streams. Strong groundwater discharge to the Quashnet River supports a relatively stable flow regime, as monitored by USGS gage 011058837, located at the downstream end of typical field research focus areas. The lower Quashnet River emerges from a narrow sand and gravel valley to a broader area with well-defined lateral floodplains. Historical cranberry farming practices, abandoned in the 1950s, have modified the stream corridor as described by: Barlow, P. M. and Hess, K. M.: Simulated Hydrologic Responses of the Quashnet River Stream-Auquifer System to Proposed Ground-Water Withdrawals, Cape Cod, Massachusetts, U.S. Geol. Surv. Rep. 93-4064, 51, 1993. The Massachusetts Division of Fisheries and Wildlife has been monitoring brook trout populations in the Quashnet River since 1988 and movement since 2007. Groundwater influence on stream temperature is pronounced, particularly over the 2-km reach above the USGS gage, below which stream stage is tidally affected.
DOI: 10.5281/zenodo.8408604
title: SRMP

description: SRMP files
DOI: 10.5281/zenodo.8408603
title: SRMP

description: SRMP files
DOI: 10.5517/ccdc.csd.cc23lxg3
title: CCDC 1954595: Experimental Crystal Structure Determination

description: Related Article: DHIRAJ DAS, Anamika Avni, Angshuman Roychoudhury|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23lxh4
title: CCDC 1954596: Experimental Crystal Structure Determination

description: Related Article: DHIRAJ DAS, Anamika Avni, Angshuman Roychoudhury|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23lxj5
title: CCDC 1954597: Experimental Crystal Structure Determination

description: Related Article: DHIRAJ DAS, Anamika Avni, Angshuman Roychoudhury|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23r175
title: CCDC 1958556: Experimental Crystal Structure Determination

description: Related Article: Nitesh Tamang, Gayathri Ramamoorthy, Mayank Joshi, Angshuman Roychoudhury, Siva Kumar Belliraj, Nageswara Rao Golakoti, Mukesh Doble|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24bcrm
title: CCDC 1976180: Experimental Crystal Structure Determination

description: Related Article: Yoshiaki Kitamura|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25ngp0
title: CCDC 2015672: Experimental Crystal Structure Determination

description: Related Article: Jian Cao,  Yun-Xiang Xu|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc261q22
title: CCDC 2027433: Experimental Crystal Structure Determination

description: Related Article: Elżbieta Wojaczyńska, Marek Daszkiewicz|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc261q33
title: CCDC 2027434: Experimental Crystal Structure Determination

description: Related Article: Elżbieta Wojaczyńska, Marek Daszkiewicz|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27x4t4
title: CCDC 2082636: Experimental Crystal Structure Determination

description: Related Article: shuaitao Hou|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28pr80
title: CCDC 2106272: Experimental Crystal Structure Determination

description: Related Article: Hidetoshi Ohta, Ryuhei Ohnishi, Minoru Hayashi|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28prd4
title: CCDC 2106276: Experimental Crystal Structure Determination

description: Related Article: Hidetoshi Ohta, Ryuhei Ohnishi, Minoru Hayashi|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc276nsx
title: CCDC 2061989: Experimental Crystal Structure Determination

description: Related Article: John Protasiewicz and Arnold L. Rheingold|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29b13t
title: CCDC 2124805: Experimental Crystal Structure Determination

description: Related Article: Saleh Alsaee, Ibrahim Abdul Razak, Suhana Arshad|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29hjkx
title: CCDC 2130089: Experimental Crystal Structure Determination

description: Related Article: Krishnan Venkatasubbaiah, Shreenibasa Sa, Asutosh Sahoo, Susmita Mukherjee, Ajay Perumal|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jvl9
title: CCDC 2131361: Experimental Crystal Structure Determination

description: Related Article: Juan Xu|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jvmb
title: CCDC 2131362: Experimental Crystal Structure Determination

description: Related Article: Juan Xu|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jvqf
title: CCDC 2131365: Experimental Crystal Structure Determination

description: Related Article: Juan Xu|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.23641/asha.23504487
title: Intelligibility of dysphonic speech in classrooms (Botallico et al., 2023)

description: <b>Purpose:</b> The purpose of this project is to assess the acoustical conditions in which optimal intelligibility and low listening difficulty can be achieved in real classrooms for elementary students, taking into consideration the effects of dysphonic voice and typical classroom noise.<b>Method:</b> Speech intelligibility tests were performed in six elementary classrooms with 80 normal-hearing students aged 7–11 years. The speech material was produced by a female actor using a normal voice quality and simulating a dysphonic voice. The stimuli were played by a Head and Torso Simulator. Child babble noise and classrooms with different reverberation times were used to obtain a Speech Transmission Index (STI) range from 0.2 to 0.7, corresponding to the categories bad, poor, fair, and good.<b>Results:</b> The results showed a statistically significant decrease in intelligibility when the speaker was dysphonic, in STI higher than 0.33. The rating of listening difficulty showed a significantly greater difficulty in perceiving the dysphonic voice. In addition, younger children showed poorer performance and greater listening difficulty compared with older children when listening to the normal voice quality. Both groups were equally impacted when the voice was dysphonic.<b>Conclusions:</b> The results suggested that better acoustic conditions are needed for children to reach a good level of intelligibility and to reduce listening difficulty if the teacher is suffering from voice problems. This was true for children regardless of grade level, highlighting the importance of ensuring more favorable acoustic conditions for children throughout all elementary schools.<b>Supplemental Material S1. </b>Acoustic parameters recorded in the six classrooms from each microphone and each noise condition.<b>Supplemental Material S2. </b>Mean values, standard deviation, standard error and confidence interval for intelligibility score and listening difficulty for each conditions.Bottalico, P., Murgia, S., Mekus, T., & Flaherty, M. (2023). Classroom acoustics for enhancing students’ understanding when a teacher suffers from a dysphonic voice. <i>Language, Speech, and Hearing Services in Schools, 54</i>(4), 1195–1207. https://doi.org/10.1044/2023_LSHSS-22-00158
DOI: 10.23641/asha.23504487.v1
title: Intelligibility of dysphonic speech in classrooms (Botallico et al., 2023)

description: <b>Purpose:</b> The purpose of this project is to assess the acoustical conditions in which optimal intelligibility and low listening difficulty can be achieved in real classrooms for elementary students, taking into consideration the effects of dysphonic voice and typical classroom noise.<b>Method:</b> Speech intelligibility tests were performed in six elementary classrooms with 80 normal-hearing students aged 7–11 years. The speech material was produced by a female actor using a normal voice quality and simulating a dysphonic voice. The stimuli were played by a Head and Torso Simulator. Child babble noise and classrooms with different reverberation times were used to obtain a Speech Transmission Index (STI) range from 0.2 to 0.7, corresponding to the categories bad, poor, fair, and good.<b>Results:</b> The results showed a statistically significant decrease in intelligibility when the speaker was dysphonic, in STI higher than 0.33. The rating of listening difficulty showed a significantly greater difficulty in perceiving the dysphonic voice. In addition, younger children showed poorer performance and greater listening difficulty compared with older children when listening to the normal voice quality. Both groups were equally impacted when the voice was dysphonic.<b>Conclusions:</b> The results suggested that better acoustic conditions are needed for children to reach a good level of intelligibility and to reduce listening difficulty if the teacher is suffering from voice problems. This was true for children regardless of grade level, highlighting the importance of ensuring more favorable acoustic conditions for children throughout all elementary schools.<b>Supplemental Material S1. </b>Acoustic parameters recorded in the six classrooms from each microphone and each noise condition.<b>Supplemental Material S2. </b>Mean values, standard deviation, standard error and confidence interval for intelligibility score and listening difficulty for each conditions.Bottalico, P., Murgia, S., Mekus, T., & Flaherty, M. (2023). Classroom acoustics for enhancing students’ understanding when a teacher suffers from a dysphonic voice. <i>Language, Speech, and Hearing Services in Schools, 54</i>(4), 1195–1207. https://doi.org/10.1044/2023_LSHSS-22-00158
DOI: 10.23641/asha.23567463
title: Does masking affect child language performance? (Surrain et al., 2023)

description: <b>Purpose: </b>The ongoing COVID-19 pandemic has prompted changes to child assessment procedures in schools such as the use of face masks by assessors. Research with adults suggests that face masks diminish performance on speech processing and comprehension tasks, yet little is known about how assessor masking affects child performance. Therefore, we asked whether assessor masking impacts children’s performance on a widely used, individually administered oral language assessment and if impacts vary by child home language background.<b>Method:</b> A total of 96 kindergartners (5–7 years old, <i>n</i> = 45 with a home language other than English) were administered items from the Clinical Evaluation of Language Fundamentals Preschool–Second Edition Recalling Sentences subtest under two conditions: with and without the assessor wearing a face mask. Regression analysis was used to determine if children scored significantly lower in the masked condition and if the effect of masking depended on home language background.<b>Results:</b> Contrary to expectations, we found no evidence that students scored systematically differently in the masked condition. Children with a home language other than English scored lower overall, but masking did not increase the gap in scores by language background.<b>Conclusions:</b> Our results suggest that children’s performance on oral language measures is not adversely affected by assessor masking and imply that valid measurements of students’ language skills may be obtained in masked conditions. While masking might decrease some of the social determinants of communication (e.g., recognition of emotions), masking in this experiment did not appear to detract from children’s ability to hear and immediately recall verbal information.<b>Supplemental Material S1.</b> Multiple regression predicting odd items sum score as a function of Group A (masked) and Group A by sentence comprehension interaction, as a continuous and a dichotomized variable.<b>Supplemental Material S2.</b> Multiple regression predicting even items sum score as a function of Group B (masked) and Group B by sentence comprehension interaction, as a continuous and a dichotomized variable.<b>Supplemental Material S3.</b> Multiple regression predicting odd items sum score as a function of Group A (masked), controlling for study condition.<b>Supplemental Material S4.</b> Multiple regression predicting even items sum score as a function of Group B (masked), controlling for study condition.<b>Supplemental Material S5.</b> Testing interactions between group and home language, controlling for study condition.Surrain, S., Mesa, M. P., Assel, M. A., & Zucker, T. A. (2023). Does assessor masking affect kindergartners’ performance on oral language measures? A COVID-19 Era experiment with children from diverse home language backgrounds. <i>Language, Speech, and Hearing Services in Schools, 54</i>(4), 1323–1332. https://doi.org/10.1044/2023_LSHSS-22-00197
DOI: 10.23641/asha.23567463.v1
title: Does masking affect child language performance? (Surrain et al., 2023)

description: <b>Purpose: </b>The ongoing COVID-19 pandemic has prompted changes to child assessment procedures in schools such as the use of face masks by assessors. Research with adults suggests that face masks diminish performance on speech processing and comprehension tasks, yet little is known about how assessor masking affects child performance. Therefore, we asked whether assessor masking impacts children’s performance on a widely used, individually administered oral language assessment and if impacts vary by child home language background.<b>Method:</b> A total of 96 kindergartners (5–7 years old, <i>n</i> = 45 with a home language other than English) were administered items from the Clinical Evaluation of Language Fundamentals Preschool–Second Edition Recalling Sentences subtest under two conditions: with and without the assessor wearing a face mask. Regression analysis was used to determine if children scored significantly lower in the masked condition and if the effect of masking depended on home language background.<b>Results:</b> Contrary to expectations, we found no evidence that students scored systematically differently in the masked condition. Children with a home language other than English scored lower overall, but masking did not increase the gap in scores by language background.<b>Conclusions:</b> Our results suggest that children’s performance on oral language measures is not adversely affected by assessor masking and imply that valid measurements of students’ language skills may be obtained in masked conditions. While masking might decrease some of the social determinants of communication (e.g., recognition of emotions), masking in this experiment did not appear to detract from children’s ability to hear and immediately recall verbal information.<b>Supplemental Material S1.</b> Multiple regression predicting odd items sum score as a function of Group A (masked) and Group A by sentence comprehension interaction, as a continuous and a dichotomized variable.<b>Supplemental Material S2.</b> Multiple regression predicting even items sum score as a function of Group B (masked) and Group B by sentence comprehension interaction, as a continuous and a dichotomized variable.<b>Supplemental Material S3.</b> Multiple regression predicting odd items sum score as a function of Group A (masked), controlling for study condition.<b>Supplemental Material S4.</b> Multiple regression predicting even items sum score as a function of Group B (masked), controlling for study condition.<b>Supplemental Material S5.</b> Testing interactions between group and home language, controlling for study condition.Surrain, S., Mesa, M. P., Assel, M. A., & Zucker, T. A. (2023). Does assessor masking affect kindergartners’ performance on oral language measures? A COVID-19 Era experiment with children from diverse home language backgrounds. <i>Language, Speech, and Hearing Services in Schools, 54</i>(4), 1323–1332. https://doi.org/10.1044/2023_LSHSS-22-00197
DOI: 10.5281/zenodo.6618073
title: Supplementary Data for 'Systematic differences in discovery of genetic effects on gene expression and complex traits'

description: This repository contains data used for or generated by Mostafavi et al.: https://doi.org/10.1038/s41588-023-01529-1