cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dxhwx6v95t.1
title: The use of Complementary and Alternative Medicine among Adults with Noncommunicable Diseases in Bangladesh

description: Survey procedure
The sample size included 549 participants from selected health care facilities in Dhaka, Bangladesh. Every eligible patient was selected at the health facility using a systemic sampling procedure. We recruited all patients using the convenient sampling method who access services of the selected health facilities for their treatment with some inclusion criteria with a minimum age of 20 years and who have been treated for any types of noncommunicable diseases such as  diabetes, high blood pressure, chronic kidney disease (CKD), chronic respiratory disease (CRD), chronic heart disease, cancer, chronic pancreatitis, chronic pain, liver disease, musculoskeletal disorders (MSD) and mental disease etc.
After screening for these two inclusion criteria, researchers conducted face to face interviews after informed consent was obtained with the patients at the health care facilities, using structured questionnaires. They were reassured that all the information collected would be kept strictly confidential and would not be used for anything other than research purposes. However, the verbal consents were taken for the study from the participants.
Independent variable
Patients’ socio-demographic factors and some clinical data about NCDs were considered as independent variables. The sociodemographic variables included gender, age group (20-39, 40-59, 60+ years), marital status (married, never married), education (≤5 years of schooling, 6-12 years of schooling, 12+ years of schooling), location of residence (urban, rural), employment status (yes, no). 
The economic condition was determined by the monthly house hold income of the respondents. The monthly household income was categorized as ≤20,000 BDT (approximately US$ 238), 21,000-50,000 BDT, >50,000 BDT.  
Outcome variable
A close ended question inquiring ‘whether the respondents ever used CAM or not’. The use of CAM was the outcome variable of this survey. It has three categories of responses: never used CAM for NDs, used CAM for NCDs, and both conventional medicine and CAM used for NCDs. The sample was classified according to CAM utilization, such as CAM non-user (code, 0), CAM user (code, 1), and combined CAM with conventional medicine user (code, 2).
DOI: 10.17632/8h9prhx5xp.1
title: Individual differences in voice adaptability are specifically linked to voice perception skill

description: Behavioural adaptation data to accompany submitted paper entitled "Individual differences in voice adaptability are specifically linked to voice perception skill".
2 Experiments:
Experiment 1: Categorisation and Adaptation to 2 familiar voice identities; plus results of Bangor Voice Matching Test
Experiment 2: replication of E1 plus control condition
Folder contains key to data
Any questions please get in touch: p.bestelmeyer @ bangor.ac.uk
DOI: 10.5281/zenodo.5239861
title: Surface electromyography data set of knee osteoarthritis patients undergoing hydrotherapy and physiotherapy rehabilitation routines

description: Osteoarthritis is one of the most prevalent degenerative diseases in the elderly that affects the structural and functional integrity of the musculoskeletal system. Currently, hydrotherapy is taking relevance for osteoarthritis treatment due to its possible efficacy on pain relief and functionality. This therapy can be evaluated by means of an electromyographic analysis. The objective is to show a database of lower limbs muscles electrical activity in charge of postural stability, comparing the difference between hydrotherapy and conventional therapy through surface electromyography. A signal acquisition methodology was developed measuring electromyographic activity of the Tibialis Anterior, Soleus, Vastus Medialis, Biceps Femoris, Medial Gastrocnemius and Lateral Gastrocnemius muscles, before and after applying a specific exercise routine for knee osteoarthritis. This routine consisted of 12 therapy sessions spread over 4 weeks and could be done in water and on land. The data is organized according to the attendance of 28 patients to the therapy sessions. There are two records per person, before and after each hydrotherapy or physiotherapy session, obtaining a total of 1344 records at the end of the 12 sessions, and 56 data for each session. However, a total of 864 complete records were obtained for both therapies, withdrawing those who missed any of the sessions. There is a personal information database in .CSV format and electromyographic records with a .MAT extension.
DOI: 10.5281/zenodo.5239860
title: Surface electromyography data set of knee osteoarthritis patients undergoing hydrotherapy and physiotherapy rehabilitation routines

description: Osteoarthritis is one of the most prevalent degenerative diseases in the elderly that affects the structural and functional integrity of the musculoskeletal system. Currently, hydrotherapy is taking relevance for osteoarthritis treatment due to its possible efficacy on pain relief and functionality. This therapy can be evaluated by means of an electromyographic analysis. The objective is to show a database of lower limbs muscles electrical activity in charge of postural stability, comparing the difference between hydrotherapy and conventional therapy through surface electromyography. A signal acquisition methodology was developed measuring electromyographic activity of the Tibialis Anterior, Soleus, Vastus Medialis, Biceps Femoris, Medial Gastrocnemius and Lateral Gastrocnemius muscles, before and after applying a specific exercise routine for knee osteoarthritis. This routine consisted of 12 therapy sessions spread over 4 weeks and could be done in water and on land. The data is organized according to the attendance of 28 patients to the therapy sessions. There are two records per person, before and after each hydrotherapy or physiotherapy session, obtaining a total of 1344 records at the end of the 12 sessions, and 56 data for each session. However, a total of 864 complete records were obtained for both therapies, withdrawing those who missed any of the sessions. There is a personal information database in .CSV format and electromyographic records with a .MAT extension.
DOI: 10.5063/h41pvb
title: Pan-Amazon Basins: A spatial Framework for the Conservation of Aquatic Ecosystems in the Amazon-Orinoco-Guianas Region

description: This database is composed of a hierarchical system of watersheds organized in twelve levels, with spatial coverage for the so-called Pan-Amazon region that contains the Amazon, Tocantins, Guianas, Orinoco, Paranaíba, Paraná headwaters, and coastal basins north and south of the mouth of the Amazon River. The system has 142,572 basins at the most detailed level (BL 12), with an average size of 6541 ha. The base follows the logic of SNAPP (Venticinque et al 2016) that considers the delineation of the main stem for the main rivers of each basin at levels 1 and 2. For making this base we used the elevation, flow direction, and flow accumulation files from MERIT Hydro (Yamashida et al 2019). The analyses were performed in ArcHydro 2.0 within ArcGis 10.1. After deriving the basins and defining the mainstem areas, the integrated tool was applied to simplify the geometry of the basin boundaries jointly between the 12 levels. Finally, a geodatabase was generated containing the 12 basin levels provided here.
DOI: 10.6084/m9.figshare.13619441
title: East Africa Geomorphic Type Reference Sample

description: This geomorphic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled into one of thirteen coral reef geomorphic classes that include Patch Reef, Plateau, No Reef, Outer Reef Flat, Deep Water, Inner Reef Flat, Back Reef Slope, Deep Lagoon, Terrestrial Reef Flat, Shallow Lagoon, Sheltered Reef Slope, Reef Crest and Reef Slope. <b>Please cite data as:</b> Borrego-Acevedo, R., Lyons, M., Canto, R., Harris, D., Kennedy, E., Kovacs , E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2020. East Africa Geomorphic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.13619441 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.13619489
title: South Asia Geomorphic Type Reference Sample

description: This geomorphic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled into one of thirteen coral reef geomorphic classes that include Patch Reef, Plateau, No Reef, Outer Reef Flat, Deep Water, Inner Reef Flat, Back Reef Slope, Deep Lagoon, Terrestrial Reef Flat, Shallow Lagoon, Sheltered Reef Slope, Reef Crest and Reef Slope. <b>Please cite data as:</b> Borrego-Acevedo, R., Wolff, J., Canto, R., Harris, D., Kennedy, E., Kovacs , Lyons, M., E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2020. South Asia Geomorphic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.13619489 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.13619489.v1
title: South Asia Geomorphic Type Reference Sample

description: This geomorphic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled into one of thirteen coral reef geomorphic classes that include Patch Reef, Plateau, No Reef, Outer Reef Flat, Deep Water, Inner Reef Flat, Back Reef Slope, Deep Lagoon, Terrestrial Reef Flat, Shallow Lagoon, Sheltered Reef Slope, Reef Crest and Reef Slope. <b>Please cite data as:</b> Borrego-Acevedo, R., Wolff, J., Canto, R., Harris, D., Kennedy, E., Kovacs , Lyons, M., E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2020. South Asia Geomorphic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.13619489 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.14120528
title: West Micronesia Geomorphic Type Reference Sample

description: This geomorphic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled into one of thirteen coral reef geomorphic classes that include Patch Reef, Plateau, No Reef, Outer Reef Flat, Deep Water, Inner Reef Flat, Back Reef Slope, Deep Lagoon, Terrestrial Reef Flat, Shallow Lagoon, Sheltered Reef Slope, Reef Crest and Reef Slope. <b>Please cite data as:</b> Lyons, M., Borrego-Acevedo, R., Canto, R., Harris, D., Kennedy, E., Kovacs , E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2021. West Micronesia Geomorphic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.14120528 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.14120528.v1
title: West Micronesia Geomorphic Type Reference Sample

description: This geomorphic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled into one of thirteen coral reef geomorphic classes that include Patch Reef, Plateau, No Reef, Outer Reef Flat, Deep Water, Inner Reef Flat, Back Reef Slope, Deep Lagoon, Terrestrial Reef Flat, Shallow Lagoon, Sheltered Reef Slope, Reef Crest and Reef Slope. <b>Please cite data as:</b> Lyons, M., Borrego-Acevedo, R., Canto, R., Harris, D., Kennedy, E., Kovacs , E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2021. West Micronesia Geomorphic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.14120528 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/