cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9860957
title: A resource analysis of the use of the video function of electronic devices for home exercise instruction in rehabilitation

description: To compare resources required to provide paper-based versus videoed instructions for home exercises in rehabilitation. An observational cohort study included twenty-two allied health professionals (physiotherapists [<i>n</i> = 13], occupational therapists [<i>n</i> = 6] and speech pathologists [<i>n</i> = 3]), providing exercise instructions for <i>n</i> = 110 patients within a community rehabilitation program of a large metropolitan health service. Home exercise instructions were provided to patients with various health conditions. Patients chose between receiving paper-based home exercise instructions, or using their own smart technology to video their home exercises. The primary outcome measure was cost from a health service perspective, based on health professional time, paper used, and printing. A total of 128 initial home exercise instructions were provided to 110 patients, with 36 patients reviewed at least once. Each initial exercise instruction provided using electronic devices saved 5.5 min (95% CI 0.5 to 10.5) with a cost saving of Australian dollar $4.70 (95% CI −8.89 to −0.52) compared with paper-based instructions. There were no significant cost differences (MD $1.16 95% CI −3.87 to 6.18) between modes for exercise review. Home exercise instructions provided on electronic devices cost less than paper-based instructions when patients are using their own smart devices.Implications for rehabilitationCosts are minimised when home exercise instructions are provided using the video function of the patient’s own electronic devices compared with paper-based instructions.Since patient outcomes appear to be similar with instructions provided in electronic or paper-based mode, exercise instructions in community rehabilitation should be provided using the video function of electronic devices where these are available. Costs are minimised when home exercise instructions are provided using the video function of the patient’s own electronic devices compared with paper-based instructions. Since patient outcomes appear to be similar with instructions provided in electronic or paper-based mode, exercise instructions in community rehabilitation should be provided using the video function of electronic devices where these are available.
DOI: 10.5517/ccdc.csd.cc20dkss
title: CCDC 1859125: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Jiang, Yu Du, Xue-Jun Zhu, Jin Lu, Zai-Chun Huang, Yu-Feng Li, Yao Kang|2019|J.Inorg.Organomet.Polym.Mater.|29|1447|doi:10.1007/s10904-019-01108-0
DOI: 10.5517/ccdc.csd.cc21kpcp
title: CCDC 1893832: Experimental Crystal Structure Determination

description: Related Article: Zhaowen Dong, Jan Mathis Winkler, Marc Schmidtmann, Thomas Müller|2021|Chemical Science|12|6287|doi:10.1039/D1SC00956G
DOI: 10.5517/ccdc.csd.cc21kpdq
title: CCDC 1893833: Experimental Crystal Structure Determination

description: Related Article: Zhaowen Dong, Jan Mathis Winkler, Marc Schmidtmann, Thomas Müller|2021|Chemical Science|12|6287|doi:10.1039/D1SC00956G
DOI: 10.5517/ccdc.csd.cc21kpfr
title: CCDC 1893834: Experimental Crystal Structure Determination

description: Related Article: Zhaowen Dong, Jan Mathis Winkler, Marc Schmidtmann, Thomas Müller|2021|Chemical Science|12|6287|doi:10.1039/D1SC00956G
DOI: 10.5517/ccdc.csd.cc21pq0h
title: CCDC 1897696: Experimental Crystal Structure Determination

description: Related Article: Yi-Guo Zhou,  Henry Nai Ching Wong,  and Xiao-Shui Peng|2020|J.Org.Chem.|85|967|doi:10.1021/acs.joc.9b02918
DOI: 10.5517/ccdc.csd.cc233hqg
title: CCDC 1939785: Experimental Crystal Structure Determination

description: Related Article: Chaojie Cui, Dongying Shi, Zhouhuan Nie, Lubin Song, Ahao Ren, Chunsen Liu|2020|J.Cluster Sci.|31|983|doi:10.1007/s10876-019-01703-8
DOI: 10.5517/ccdc.csd.cc23g2c1
title: CCDC 1949942: Experimental Crystal Structure Determination

description: Related Article: Kai Zhong, Rui-Feng Yang, Wen-Yan Zhang, Yang-Tian Yan, Xiao-Jie Gou, Wen-Huan Huang, Yao-Yu Wang|2020|Inorg.Chem.|59|3912|doi:10.1021/acs.inorgchem.9b03581
DOI: 10.5517/ccdc.csd.cc24bxjy
title: CCDC 1976700: Experimental Crystal Structure Determination

description: Related Article: Kirana Devarahosahalli Veeranna, Kanak Kanti Das, Sundarababu Baskaran|2021|Org.Biomol.Chem.|19|4054|doi:10.1039/D1OB00416F
DOI: 10.5517/ccdc.csd.cc224s01
title: CCDC 1911212: Experimental Crystal Structure Determination

description: Related Article: Kirana Devarahosahalli Veeranna, Kanak Kanti Das, Sundarababu Baskaran|2021|Org.Biomol.Chem.|19|4054|doi:10.1039/D1OB00416F
DOI: 10.5517/ccdc.csd.cc224s12
title: CCDC 1911213: Experimental Crystal Structure Determination

description: Related Article: Kirana Devarahosahalli Veeranna, Kanak Kanti Das, Sundarababu Baskaran|2021|Org.Biomol.Chem.|19|4054|doi:10.1039/D1OB00416F
DOI: 10.5517/ccdc.csd.cc24gqq2
title: CCDC 1980364: Experimental Crystal Structure Determination

description: Related Article: Taewon Kang, Hongsik Kim, Sungeun Jeoung, Dohyun Moon, Hoi Ri Moon, Dongwhan Lee|2021|Chemical Science|12|6378|doi:10.1039/D1SC01163D
DOI: 10.5517/ccdc.csd.cc24gqr3
title: CCDC 1980365: Experimental Crystal Structure Determination

description: Related Article: Taewon Kang, Hongsik Kim, Sungeun Jeoung, Dohyun Moon, Hoi Ri Moon, Dongwhan Lee|2021|Chemical Science|12|6378|doi:10.1039/D1SC01163D
DOI: 10.5517/ccdc.csd.cc24gqt5
title: CCDC 1980367: Experimental Crystal Structure Determination

description: Related Article: Taewon Kang, Hongsik Kim, Sungeun Jeoung, Dohyun Moon, Hoi Ri Moon, Dongwhan Lee|2021|Chemical Science|12|6378|doi:10.1039/D1SC01163D
DOI: 10.5517/ccdc.csd.cc24jq8p
title: CCDC 1982272: Experimental Crystal Structure Determination

description: Related Article: Kirana Devarahosahalli Veeranna, Kanak Kanti Das, Sundarababu Baskaran|2021|Org.Biomol.Chem.|19|4054|doi:10.1039/D1OB00416F
DOI: 10.5517/ccdc.csd.cc24l7zz
title: CCDC 1983751: Experimental Crystal Structure Determination

description: Related Article: Kirana Devarahosahalli Veeranna, Kanak Kanti Das, Sundarababu Baskaran|2021|Org.Biomol.Chem.|19|4054|doi:10.1039/D1OB00416F
DOI: 10.26302/sshade/experiment_bs_20120923_001
title: Far-IR Transmission spectra of crystalline Ih H2O ice at different temperatures (80K to 160K)

description: Far-IR Transmission spectra of crystalline Ih H2O ice (7.85µm film) deposited at 143K and measured at different temperatures (80K to 160K)
DOI: 10.5281/zenodo.4748244
title: Music Performance Critique Database

description: Musical Performance Critique Database (Japanese) This open data set contains musical performances and critiques of those performances. -- Naming Rule:<br> For Recording Data<br> PieceID-PlayerID.wav<br> e.g. perfomance of beethoven's piece by player 1<br> n01-bee-sym3-p01.wav For Critique Data<br> PieceID-PlayerID-CriticID.wav<br> e.g. commentary by critique 1 on perfomance of beethoven's piece by player 1<br> n01-bee-sym3-p01-c03.txt List of Piece<br> PieceID Composer Title<br> n01-bee-sym3 L. v. Beethoven Symphony No.3 in E flat Major 'Eroica', Op.55<br> n02-ros-silk G. A. Rossini La scala di seta, Overture<br> n03-sch-sym8 F. Schubert Symphony No.8 in B Minor, D.759 'Unfinished'<br> n04-bra-vcon J. Brahms Violin Concerto in D Major, Op.77<br> n05-tch-sym4 P. I. Tchaikovsky Symphony No.4 in f Minor, Op.36<br> n06-tch-swan P. I. Tchaikovsky "The Swan Lake", Ballet Suite, Op.20a<br> n07-rim-sche N. Rimsky-Korsakov "Scheherazade", Symphonic Suite, Op.35<br> n08-str-donj R. Strauss "Don Juan", Symphonic Poem, Op.20<br> n09-rav-tomb M. Ravel Le Tombeau de Couperin I.Prelude<br> n10-pro-pete S. Prokofiev "Peter and the Wolf", Symphonic Tale, Op.67
DOI: 10.6073/pasta/f5c83e8633a7741125eb03953608b3e4
title: Natural Land Zones in New England in 2006 from 2010 Wildlands and Woodlands Report

description: This GIS dataset shows different Wildland and Woodland zones in New England and is intended to illustrate how the percentage of protected land could vary between New England landscapes while achieving the total acreage goals as expressed in the Wildlands and Woodlands 2010 Report. This is layer is intended to be conceptual and not prescriptive. The zones were created by expressing the percent natural landcover for a given 500m pixel using a 25 x 25-cell neighborhood. The landuse categories considered to be natural and the breakpoints for each zone are given in the Methods section of this document. The data are provided in vector format as an ESRI shapefile. The projection is NAD 1983 Albers. The Wildlands and Woodlands webpage, http://www.wildlandsandwoodlands.org/, includes a downloadable high-resolution copy of the report and an extensive set of resources that complement and support the arguments and facts presented in it. These include citations, metadata, and downloadable high-quality images of all the graphs and maps. The website will be updated to provide further information on many of the findings, activities, and recommendations provided in the report. Wildlands and Woodlands Report: Foster, D. R., Lambert, K. F., Kittredge, D. B., Donahue, B. M, Hart, C. M., Labich, W. G., Meyer, S., Thompson, J. , Buchanan, M., Levitt, J. N., Pershel, R., Ross, K., Elkins, G., Daigle, C., Hall, B., Faison, E. K., D'Amato, A. W., Forman, R. T. T., Del Tredici, P., Irland, L. C., Colburn, B. A., Orwig, D. A., Aber, J. D., Berger, A., Driscoll, C. T., Keeton, W. S., Lilieholm, R. J., Pederson, N., Ellison, A. M., Hunter, M. L., Fahey, T. J. 2017. Wildlands and Woodlands, Farmlands and Communities: Broadening the Vision for New England.
DOI: 10.6084/m9.figshare.14579751
title: Untitled ItemTest

description: This is a test
DOI: 10.6084/m9.figshare.14579751.v2
title: Untitled ItemTest

description: This is a test
DOI: 10.6084/m9.figshare.14579751.v1
title: Untitled ItemTest

description: This is a test
DOI: 10.6073/pasta/9c1b3b72eef187d4fd22629315df8a52
title: Land Zones in New England 1940-2070 from 2017 Wildlands and Woodlands Report

description: This dataset contains two GIS datalayers, one CSV file and an associated R script used to produce figures for the 2017 Wildlands and Woodlands report. The “wedge diagram” data (HF360-01-landcover-data.csv) shows actual percent landcover estimates across New England from 1940 to 2010 and straight-line trends needed between 2010 to 2070 to reach the Wildlands and Woodland vision by 2060. The published diagram can be seen in figure 1 of the 2017 Wildlands and Woodland report. In hf360-03-community-forests.zip, the GIS layer shows towns that contain community forests as determined by the authors of the report. In hf360-04-wildland-woodland-zones.zip, the GIS layer shows Wildland and Woodland Zones as illustrated in the report. It was created by starting with the Wildland and Woodland zones from the 2010 report and adding in areas with high agricultural land use. These types are meant to be conceptual and not prescriptive. Wildlands and Woodlands Report: Foster, D. R., Lambert, K. F., Kittredge, D. B., Donahue, B. M, Hart, C. M., Labich, W. G., Meyer, S., Thompson, J. , Buchanan, M., Levitt, J. N., Pershel, R., Ross, K., Elkins, G., Daigle, C., Hall, B., Faison, E. K., D'Amato, A. W., Forman, R. T. T., Del Tredici, P., Irland, L. C., Colburn, B. A., Orwig, D. A., Aber, J. D., Berger, A., Driscoll, C. T., Keeton, W. S., Lilieholm, R. J., Pederson, N., Ellison, A. M., Hunter, M. L., Fahey, T. J. 2017. Wildlands and Woodlands, Farmlands and Communities: Broadening the Vision for New England.
DOI: 10.6073/pasta/9db6ab3782764f1ac38469df47279dc1
title: Academics for Land Protection in New England (ALPINE) GIS Data since 2015

description: Academics for Land Protection in New England (ALPINE) is a network of academic institutions committed to increasing the pace of land protection in New England to address the region’s environmental challenges and to support nature and people. ALPINE seeks to expand the role that academic institutions play in conserving the New England landscape by sharing experiences and resources among faculty and staff, students, administrations, and alumni. This dataset contains point locations of colleges that are participants in ALPINE and parcels of natural land owned by participating schools who submitted data to the ALPINE coordinator.
DOI: 10.5281/zenodo.4752236
title: Dataset

description: Whole liver and tumor Segmentations
DOI: 10.5281/zenodo.4752235
title: Dataset

description: Whole liver and tumor Segmentations
DOI: 10.6084/m9.figshare.13622774
title: ES Outputs

description: Addressing how ecosystem services (ES) are distributed among groups of people is critical for making conservation and environmental policy-making more equitable. Here, we evaluate the distribution and equity of changes in ES benefits across demographic and socioeconomic groups in the United States (US) between 2020 and 2100. Specifically, we use land cover and population projections to model potential shifts in the supply, demand, and benefits of the following ES: provision of clean air, protection against a vector-borne disease (West Nile virus), and crop pollination. Across the US, changes in ES benefits are unevenly distributed among socioeconomic and demographic groups and among rural and urban communities, but are relatively uniform across geographic regions. In general, non-white, lower-income, and urban populations disproportionately bear the burden of declines in ES benefits. This is largely driven by the conversion of forests and wetlands to cropland and urban land cover in counties where these populations are expected to grow. In these locations, targeted land use policy interventions are required to avoid exacerbating inequalities already present in the US.
DOI: 10.5281/zenodo.4752246
title: Liquid water polarization dataset

description: This dataset was used for Fig1.b and Fig.2 in the work "Machine Learning Inference of Molecular Dipole Moment in Liquid Water" by Knijff, Lisanne; Zhang, Chao. The liquid water dataset was created using a trajectory of ab initio MD simulations. Simulations were done using the CP2K package and BLYP functional. A cubic box with a length of 23.493 Bohr was used, which contained 64 water molecules.
DOI: 10.5281/zenodo.4752245
title: Liquid water polarization dataset

description: This dataset was used for Fig1.b and Fig.2 in the work "Machine Learning Inference of Molecular Dipole Moment in Liquid Water" by Knijff, Lisanne; Zhang, Chao. The liquid water dataset was created using a trajectory of ab initio MD simulations. Simulations were done using the CP2K package and BLYP functional. A cubic box with a length of 23.493 Bohr was used, which contained 64 water molecules.
DOI: 10.6084/m9.figshare.14579859
title: SRR3414629_bam

description: SRR3414635 data
DOI: 10.6084/m9.figshare.14579859.v1
title: SRR3414629_bam

description: SRR3414635 data
DOI: 10.6084/m9.figshare.14579883.v1
title: SRR3414629_bai

description: RNAseq analysis
DOI: 10.6084/m9.figshare.14579883
title: SRR3414629_bai

description: RNAseq analysis
DOI: 10.6084/m9.figshare.14579892
title: SRR3414630_bam

description: RNAseq analysis
DOI: 10.6084/m9.figshare.14579892.v1
title: SRR3414630_bam

description: RNAseq analysis
DOI: 10.6084/m9.figshare.14579928
title: SRR3414630_bai

description: RNAseq analysis
DOI: 10.6084/m9.figshare.14579928.v1
title: SRR3414630_bai

description: RNAseq analysis
DOI: 10.5281/zenodo.3941847
title: IODP Expedition 325, Hole M0036A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 325: Great Barrier Reef
DOI: 10.5281/zenodo.3941846
title: IODP Expedition 325, Hole M0036A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 325: Great Barrier Reef
DOI: 10.6084/m9.figshare.14579805
title: Untitled Item

description: test
DOI: 10.6084/m9.figshare.14579805.v1
title: Untitled Item

description: test
DOI: 10.5281/zenodo.3941851
title: IODP Expedition 325, Hole M0054B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 325: Great Barrier Reef
DOI: 10.5281/zenodo.3941850
title: IODP Expedition 325, Hole M0054B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 325: Great Barrier Reef
DOI: 10.5281/zenodo.3941849
title: IODP Expedition 325, Hole M0042A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 325: Great Barrier Reef
DOI: 10.5281/zenodo.3941848
title: IODP Expedition 325, Hole M0042A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 325: Great Barrier Reef
DOI: 10.6084/m9.figshare.14579937
title: SRR3414631_bam

description: RNAseq analysis
DOI: 10.6084/m9.figshare.14579937.v1
title: SRR3414631_bam

description: RNAseq analysis
DOI: 10.5281/zenodo.3941845
title: IODP Expedition 325, Hole M0031A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 325: Great Barrier Reef
DOI: 10.5281/zenodo.3941844
title: IODP Expedition 325, Hole M0031A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 325: Great Barrier Reef
DOI: 10.6084/m9.figshare.14579973
title: ODMAP Protocol

description: ODMAP (Overview, Data, Model, Assessment, and Prediction) protocol documenting the SDMs according to Zurrell et al. 2019.<br>Zurrell, D., J. Franklin, C. König, P.J. Bouchet, C.F. Dormann, J. Elith, G. Fandos, X. Feng, G. Cuillera-Arroita, A. Guisan, J.J. Lahoz-Monfort, P.J. Leitão, D.S. Park, A.T. Peterson, G. Rapacciuolo, D.R. Schmatz, B. Schröder, J.M. Serra-Diaz, W. Thuiller, K.L. Yates, N.E. Zimmerman, and C. Merow. (2020). A standard protocol for reporting species distribution models. Ecography 43, 1261-1277. doi: 10.1111/ecog.04960.<br>
DOI: 10.6084/m9.figshare.14579994.v1
title: SRR3414631_bai

description: RNAseq analysis
DOI: 10.6084/m9.figshare.14579994
title: SRR3414631_bai

description: RNAseq analysis
DOI: 10.3886/e130041
title: Software Factory Dataset

description: This repository contains data from the Software Factory (SF), a service unit at a large southwestern university providing software engineering services for funded research projects and university technology spinouts. SF was led by a professional software engineer, who managed student programmers using industry-standard engineering processes and organized in formal project-based teams. It operated for 144 weeks from late 2002 to early 2005, and had 79 participants, including the manager, employees, clients and researchers. Over this time, SF worked on 31 separate projects, developing applications for the social sciences, natural sciences, and education, and for internal use (such as an activity reporting system). SF was also a social science research project intended to collect data on perceived and observable communication networks in a naturalistic organizational setting over an extended period. SF data was used in a project funded by the National Science Foundation’s Science of Organizations program, and is being deposited here per NSF requirements. <br><br><br><br><br>
DOI: 10.3886/e130041v2
title: Software Factory Dataset

description: This repository contains data from the Software Factory (SF), a service unit at a large southwestern university providing software engineering services for funded research projects and university technology spinouts. SF was led by a professional software engineer, who managed student programmers using industry-standard engineering processes and organized in formal project-based teams. It operated for 144 weeks from late 2002 to early 2005, and had 79 participants, including the manager, employees, clients and researchers. Over this time, SF worked on 31 separate projects, developing applications for the social sciences, natural sciences, and education, and for internal use (such as an activity reporting system). SF was also a social science research project intended to collect data on perceived and observable communication networks in a naturalistic organizational setting over an extended period. SF data was used in a project funded by the National Science Foundation’s Science of Organizations program, and is being deposited here per NSF requirements. <br><br><br><br><br>