cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7620828
title: Supplementary document of "A Conceptual Cognitive Framework for Tinnitus"

description: TinnitusCCF_Analyses.zip includes the SPSS analysis for all sub-datasets. TinnitusCCF_Datasets.zip includes three datasets in the format of sav: Tinnitus_CCF_FullDataset Tinnitus_CCF_ClinicalDataset Tinnitus_CCF_NeutralDataset Tinnitus_CCF_SyntaxCode.zip includes the syntax in the SPSS platform. <strong>Funding</strong> This research is part of a Multidisciplinary Cognitive Rehabilitation (MCR) Platform and was supported (Grant number: 2013/07375-0) by the Innovation and Diffusion of Mathematical Sciences Center Applied to Industry (CEPID-CeMEAI) of Sao Paulo Research Foundation (FAPESP), the University of Sao Paulo, and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for student’s scholarship. <strong>Ethical approval and consent to participate</strong> Data were collected from participants of two running studies on neurofunctional tinnitus model validation - 1) A randomized crossover three-session double-blind study and 2) An observational prospective cohort study, both approved by the Ethics Committee for Analysis of Research Projects, Specialized Center of Otorhinolaryngology and Speech Therapy, Hospital das Clínicas de Ribeirão Preto, University of São Paulo, Brazil (HCRP no 55716616.1.1001.5440, and HCRP no 09813519.1.0000.5440; internationally registered with U1111-1236-5441). All subjects gave written informed consent.
description: Datasets & Analyses
DOI: 10.5281/zenodo.7620827
title: Supplementary document of "A Conceptual Cognitive Framework for Tinnitus"

description: TinnitusCCF_Analyses.zip includes the SPSS analysis for all sub-datasets. TinnitusCCF_Datasets.zip includes three datasets in the format of sav: Tinnitus_CCF_FullDataset Tinnitus_CCF_ClinicalDataset Tinnitus_CCF_NeutralDataset Tinnitus_CCF_SyntaxCode.zip includes the syntax in the SPSS platform. <strong>Funding</strong> This research is part of a Multidisciplinary Cognitive Rehabilitation (MCR) Platform and was supported (Grant number: 2013/07375-0) by the Innovation and Diffusion of Mathematical Sciences Center Applied to Industry (CEPID-CeMEAI) of Sao Paulo Research Foundation (FAPESP), the University of Sao Paulo, and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for student’s scholarship. <strong>Ethical approval and consent to participate</strong> Data were collected from participants of two running studies on neurofunctional tinnitus model validation - 1) A randomized crossover three-session double-blind study and 2) An observational prospective cohort study, both approved by the Ethics Committee for Analysis of Research Projects, Specialized Center of Otorhinolaryngology and Speech Therapy, Hospital das Clínicas de Ribeirão Preto, University of São Paulo, Brazil (HCRP no 55716616.1.1001.5440, and HCRP no 09813519.1.0000.5440; internationally registered with U1111-1236-5441). All subjects gave written informed consent.
description: Datasets & Analyses
DOI: 10.6084/m9.figshare.22048388
title: HBCC testing

description: Single cell rna seq data. Purpose: To test if we can make this data set avaialble on the fly in order to make it interactivly accessible by any user. If it is a success then we will post the real data file.
DOI: 10.6084/m9.figshare.22048388.v1
title: HBCC testing

description: Single cell rna seq data. Purpose: To test if we can make this data set avaialble on the fly in order to make it interactivly accessible by any user. If it is a success then we will post the real data file.
DOI: 10.3886/e184644v1
title: How Right Now Mental Health & Coping Data

description: About The Study The How Right Now campaign (HRN), which is made possible with support from the CDC Foundation and conducted in partnership with the Centers for Disease Control and Prevention (CDC), aims to help people cope, adapt, and be resilient throughout the COVID-19 pandemic. HRN prioritizes communities that have been disproportionately affected by COVID-19. To inform the development of this campaign and respond to the evolving needs of its audiences during the COVID-19 pandemic, HRN explored Americans’ mental health, emotional well-being and coping needs using an interrupted time series design. As part of the HRN campaign evaluation, survey data were collected in English and Spanish at three time points—May 2020, May 2021, and May 2022. Data is available for the last two waves of this survey at https://www.norc.org/Research/Projects/Pages/how-right-now-campaign.aspx. About the Survey These public use files contain data from two of the national probability panel surveys – May 2021 (fielded from May 26-June 1, 2021) and May 2022 (fielded from May 20-May 31, 2022). Both surveys used NORC’s AmeriSpeak® panel (https://amerispeak.norc.org/), a nationally representative probability panel of over 30,000 U.S. households.1 The total sample size for the May 2021 survey was 1,022 and the total sample size for May 2022 was 1,120. Data collection procedures and protocols were reviewed and approved by NORC's Institutional Review Board and were determined exempt under 45 CFR 46 102(1) by CDC.<br><br>More information is available in the document titled "How Right Now Campaign Mental Health and Coping Data – User Guide."<br><br>
DOI: 10.3886/e184644
title: How Right Now Mental Health & Coping Data

description: About The Study <br>The How Right Now campaign (HRN), which is made possible with support from the CDC Foundation and conducted in partnership with the Centers for Disease Control and Prevention (CDC), aims to help people cope, adapt, and be resilient throughout the COVID-19 pandemic. HRN prioritizes communities that have been disproportionately affected by COVID-19. To inform the development of this campaign and respond to the evolving needs of its audiences during the COVID-19 pandemic, HRN explored Americans’ mental health, emotional well-being and coping needs using an interrupted time series design. As part of the HRN campaign evaluation, survey data were collected in English and Spanish at three time points—May 2020, May 2021, and May 2022. Data is available for the last two waves of this survey here and at https://www.norc.org/Research/Projects/Pages/how-right-now-campaign.aspx. <br><br>About the Survey <br>These public use files contain data from two of the national probability panel surveys – May 2021 (fielded from May 26-June 1, 2021) and May 2022 (fielded from May 20-May 31, 2022). Both surveys used NORC’s AmeriSpeak® panel (https://amerispeak.norc.org/), a nationally representative probability panel of over 30,000 U.S. households.1 The total sample size for the May 2021 survey was 1,022 and the total sample size for May 2022 was 1,120. Data collection procedures and protocols were reviewed and approved by NORC's Institutional Review Board and were determined exempt under 45 CFR 46 102(1) by CDC.<br><br>More information is available in the document titled "How Right Now Campaign Mental Health and Coping Data – User Guide."<br><br>
DOI: 10.3886/e184644v2
title: How Right Now Mental Health & Coping Data

description: About The Study <br>The How Right Now campaign (HRN), which is made possible with support from the CDC Foundation and conducted in partnership with the Centers for Disease Control and Prevention (CDC), aims to help people cope, adapt, and be resilient throughout the COVID-19 pandemic. HRN prioritizes communities that have been disproportionately affected by COVID-19. To inform the development of this campaign and respond to the evolving needs of its audiences during the COVID-19 pandemic, HRN explored Americans’ mental health, emotional well-being and coping needs using an interrupted time series design. As part of the HRN campaign evaluation, survey data were collected in English and Spanish at three time points—May 2020, May 2021, and May 2022. Data is available for the last two waves of this survey here and at https://www.norc.org/Research/Projects/Pages/how-right-now-campaign.aspx. <br><br>About the Survey <br>These public use files contain data from two of the national probability panel surveys – May 2021 (fielded from May 26-June 1, 2021) and May 2022 (fielded from May 20-May 31, 2022). Both surveys used NORC’s AmeriSpeak® panel (https://amerispeak.norc.org/), a nationally representative probability panel of over 30,000 U.S. households.1 The total sample size for the May 2021 survey was 1,022 and the total sample size for May 2022 was 1,120. Data collection procedures and protocols were reviewed and approved by NORC's Institutional Review Board and were determined exempt under 45 CFR 46 102(1) by CDC.<br><br>More information is available in the document titled "How Right Now Campaign Mental Health and Coping Data – User Guide."<br><br>
DOI: 10.6073/pasta/4dafd7d0ee62aafbe5161a8d5ecc0042
title: LTREB: Aboveground biomass, plant density, annual aboveground productivity, plant heights and snail observations in control and fertilized plots in a Spartina alterniflora-dominated salt marsh, North Inlet, Georgetown, SC: 1984-2022

description: Aboveground biomass and plant density were measured non-destructively as a component of a long-term project seeking to understand how salt marsh primary production and sediment chemistry respond to anthropogenic (e.g. eutrophication) and natural (e.g. sea-level rise) environmental change. Feedbacks between plants, sediments, nutrients and flooding were investigated with particular attention to mechanisms that keep marshes in equilibrium with sea level. Biomass was calculated from plant height measurements using allometric equations. Annual productivity was calculated from approximately-monthly biomass estimates. In addition to plant height measurements, observations of snails in sample plots were recorded. Other data collected as part of the project include marsh surface elevation and porewater nutrient concentrations. These data have been used to develop the Marsh Equilibrium Model, an important tool for coastal resource managers. Sampling occurred at Spartina alterniflora-dominated salt marsh sites in North Inlet, a relatively pristine estuary near Georgetown, SC on the SE coast of the United States. North Inlet is a tidally-dominated, bar-built estuary, with a semi-diurnal mixed tide and a tidal range of 1.4m. The 25-km2 estuary is comprised of about 20.5 km2 of intertidal salt marsh and mudflats, and 4.5 km2 of open water. Sampling began at one location in 1984, and at three additional locations in 1986. Sampling occurred approximately monthly through 2022. The study is on-going. There are four sampling locations at two sites. Two locations are in the low marsh; two locations are in the high marsh. One high marsh location had control sampling plots in addition to plots fertilized with nitrogen and phosphorus.
DOI: 10.15139/s3/x4zo8p
title: SAA Dataverse Policies and Procedures

description: Policies and procedures for the SAA Dataverse developed by SAA Committee on Research, Data, and Assessment (CORDA). All submissions will be conducted entirely online through the SAA Dataverse portal. Submitters, please follow these steps when contributing materials to the SAA Dataverse for review: Review Collection Development Policy to confirm that material is within the scope of the repository. Review Terms of Use and Data Usage Agreement. Review Data Package Instructions for steps in preparing materials for deposit. Complete Metadata Worksheet. Complete and electronically sign the Data Deposit form. Contact CORDA at corda@archivists.org to deposit the dataset. Video tutorials availabe on SAA's YouTube channel.
DOI: 10.6073/pasta/eea4efabf9e1fad1ab2648f7af53f76f
title: Porewater nutrient concentrations in control and fertilized plots in a Spartina alterniflora-dominated salt marsh, North Inlet, Georgetown, SC : 1993-2022

description: Porewater nutrient concentrations were measured as a component of a long-term project seeking to understand how salt marsh primary production and sediment chemistry respond to anthropogenic (e.g. eutrophication) and natural (e.g. sea-level rise) environmental change. Feedbacks between plants, sediments, nutrients and flooding were investigated with particular attention to mechanisms that keep marshes in equilibrium with sea level. Other data collected as part of the project include aboveground macrophyte biomass, plant density, marsh surface elevation and annual above ground primary productivity. These data have been used to develop the Marsh Equilibrium Model, an important tool for coastal resource managers. Sampling occurred at Spartina alterniflora-dominated salt marsh sites in North Inlet, a relatively pristine estuary near Georgetown, SC on the SE coast of the United States. North Inlet is a tidally-dominated, bar-built estuary, with a semi-diurnal mixed tide and a tidal range of 1.4m. The 25-km2 estuary is comprised of about 20.5 km2 of intertidal salt marsh and mudflats, and 4.5 km2 of open water. Sampling began at two locations in December 1993, and at three additional locations in January 1994. Sampling occurred approximately monthly at these 5 locations through 2021. Sampling occurred at a sixth location from 2006 to 2010. The site was a dieback site that had recovered by 2010. At the other sites, the study is on-going. Porewater was collected at multiple depths from diffusion samplers and was analyzed for sulfide, salinity, ammonium, phosphate, and iron concentrations. There are five sampling locations at three sites. Two locations are in the low marsh; three locations are in the high marsh. One high marsh location had control sampling plots in addition to plots fertilized with nitrogen and phosphorus.
DOI: 10.6073/pasta/10c0fe84f91f9976cfa262e3dd6441e2
title: LTREB: Marsh elevation change in control and fertilized plots in a Spartina alterniflora-dominated salt marsh, North Inlet, Georgetown, SC: 1990-2022

description: Marsh elevation was measured with a Surface Elevation Table (SET) as a component of a long-term project seeking to understand how salt marsh primary production and sediment chemistry respond to anthropogenic (e.g. eutrophication) and natural (e.g. sea-level rise) environmental change. Feedbacks between plants, sediments, nutrients and flooding were investigated with particular attention to mechanisms that keep marshes in equilibrium with sea level. Other data collected as part of the project include aboveground annual primary productivity, plant biomass, plant density and porewater nutrient concentrations. These data have been used to develop the Marsh Equilibrium Model, an important tool for coastal resource managers. Sampling occurred at 7 Spartina alterniflora-dominated salt marsh sites in North Inlet, a relatively pristine estuary near Georgetown, SC on the SE coast of the United States. North Inlet is a tidally-dominated, bar-built estuary, with a semi-diurnal mixed tide and a tidal range of 1.4m. The 25-km2 estuary is comprised of about 20.5 km2 of intertidal salt marsh and mudflats, and 4.5 km2 of open water. Marsh elevation sampling began in 1990, 1991, 1996 or 2000, depending on the site. Sampling occurred approximately monthly or approximately annually through 2022. The study is on-going. Additionally, some plots were fertilized with nitrogen and phosphorus.
DOI: 10.5281/zenodo.7622486
title: Las Apps musicales. Un análisis cualitativo de viabilidad para su uso educativo en educación infantil

description: Análisis de diferentes tipos de aplicaciones móviles para el aprendizaje musical en educación infantil
DOI: 10.5281/zenodo.7622392
title: Las Apps musicales. Un análisis cualitativo de viabilidad para su uso educativo en educación infantil

description: Análisis de diferentes tipos de aplicaciones móviles para el aprendizaje musical en educación infantil
DOI: 10.15783/jh3s-h006
title: CRAWDAD Dataset  telefonica/mobilephoneuse version 20190429
DOI: 10.15783/08kw-7n74
title: CRAWDAD dataset UCMerced/modes (v. 2022-05-23)
title: The final level of late sensor fusion to further improve the occupancy obtained by the DOWA.

description: This dataset contains time-series occupancy estimates under two scenarios of: 11 low occupancy days (with up to 2 occupants), and 3 high occupancy days (with up to 8 occupants), for four data schemes: - thermal sensor occupancy readings from the experimental room, - vibration sensor occupancy readings from the experimental room, - combination of thermal and vibration sources through a Data-driven Optimization-based Weighted Average (DOWA), - further and final improvement of the MODES occupancy estimate through the particle filter.
DOI: 10.15783/xs01-4f07
title: CRAWDAD dataset cmu/spring2022 (v. 2022-05-09)
title: Set of Thread packets that were captured during the Spring 2022 semester.

description: This Carnegie Mellon University dataset contains Thread packets that were captured using a software-defined radio (USRP N210). More specifically, the contributors used GNU Radio with the gr-ieee802-15-4 and gr-foo modules to receive IEEE 802.15.4 packets and store them in PCAP format. Furthermore, the contributors used Adafruit Feather nRF52840 Express devices that were flashed with OpenThread binaries for Nordic Semiconductor nRF528xx SoCs in order to form Thread networks. In total, 35 experiments were conducted in order to study the security of Thread networks, which can be organized into three different types of experiments: (a) packet analysis experiments, (b) energy depletion attack experiments, and (c) online password guessing attack experiments. This research was supported in part by the Secure and Private IoT initiative (IoT@CyLab) at the Carnegie Mellon CyLab Security and Privacy Institute. More details about the procedure that was followed and the master keys that were generated for each experiment are included in the dataset.
DOI: 10.7910/dvn/ad1rx5
title: Replication Data for Evaluating Policies Early in a Pandemic: Bounding Policy Effects with Nonrandomly Missing Data

description: Review of Economics and Statistics: Forthcoming
DOI: 10.5517/ccdc.csd.cc20r6hh
title: CCDC 1869346: Experimental Crystal Structure Determination

description: Related Article: Tatsuro Toda, Satoshi Suzuki, Shigeki Kuwata|2019|Chem.Commun.|55|1028|doi:10.1039/C8CC08384C
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.cc20r6ll
title: CCDC 1869349: Experimental Crystal Structure Determination

description: Related Article: Tatsuro Toda, Satoshi Suzuki, Shigeki Kuwata|2019|Chem.Commun.|55|1028|doi:10.1039/C8CC08384C
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.cc20r6jj
title: CCDC 1869347: Experimental Crystal Structure Determination

description: Related Article: Tatsuro Toda, Satoshi Suzuki, Shigeki Kuwata|2019|Chem.Commun.|55|1028|doi:10.1039/C8CC08384C
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.cc20x3rt
title: CCDC 1874066: Experimental Crystal Structure Determination

description: Related Article: Tatsuro Toda, Satoshi Suzuki, Shigeki Kuwata|2019|Chem.Commun.|55|1028|doi:10.1039/C8CC08384C
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.cc235n65
title: CCDC 1941846: Experimental Crystal Structure Determination

description: Related Article: Qi-Yun Feng, Jieping Zhu, Mei-Xiang Wang, Shuo Tong|2020|Org.Lett.|22|483|doi:10.1021/acs.orglett.9b04239
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.cc235nnm
title: CCDC 1941860: Experimental Crystal Structure Determination

description: Related Article: Qi-Yun Feng, Jieping Zhu, Mei-Xiang Wang, Shuo Tong|2020|Org.Lett.|22|483|doi:10.1021/acs.orglett.9b04239
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.cc23c4qc
title: CCDC 1947132: Experimental Crystal Structure Determination

description: Related Article: Zhi-Xiong Deng, Yu Zheng, Zhen-Zhen Xie, Yue-Heng Gao, Jun-An Xiao, Si-Qi Xie, Hao-Yue Xiang, Xiao-Qing Chen, Hua Yang|2020|Org.Lett.|22|488|doi:10.1021/acs.orglett.9b04248
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.cc23c4rd
title: CCDC 1947133: Experimental Crystal Structure Determination

description: Related Article: Zhi-Xiong Deng, Yu Zheng, Zhen-Zhen Xie, Yue-Heng Gao, Jun-An Xiao, Si-Qi Xie, Hao-Yue Xiang, Xiao-Qing Chen, Hua Yang|2020|Org.Lett.|22|488|doi:10.1021/acs.orglett.9b04248
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.cc23c4tg
title: CCDC 1947135: Experimental Crystal Structure Determination

description: Related Article: Zhi-Xiong Deng, Yu Zheng, Zhen-Zhen Xie, Yue-Heng Gao, Jun-An Xiao, Si-Qi Xie, Hao-Yue Xiang, Xiao-Qing Chen, Hua Yang|2020|Org.Lett.|22|488|doi:10.1021/acs.orglett.9b04248
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.