cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2238376
title: Motivation and harvesting behaviour of fishers in a specialized fishery targeting a top predator species at risk

description: Effective management of wildlife resources depends on understanding and cooperating with the human users of the resource, particularly as policies may be rejected if user satisfactions are not met. In Australia, recreational anglers can legally target a migratory top predator, the shortfin mako shark (<em>Isurus oxyrinchus</em>), that is also a species at risk. It is assumed that most of the sharks are released and population remains minimally impacted; yet, the actual release rate of this species is unknown and little information is available on the motivations and satisfactions of anglers that participate in this fishery. The rate of catch-and-release fishing was ascertained by a web survey of recreational shark anglers from three south-eastern Australian states. Respondents reported that ~70% of the captured makos were released, with significant geographic variation in release rates between states. Differences in harvesting behaviour between states could be attributed to the varying value assigned to shortfin mako as a sport fish and table fish among regions. Additionally, higher rates of release among anglers from New South Wales may be linked to increased opportunity for resource substitution (i.e. greater diversity of game fish species) and established norms driven by current catch-and-release fisheries in that region. Increased participation in catch-and-release fishing may be achieved by establishing behavioural norms by the provision of more desirable incentives to release sharks during fishing competitions. Data on regional variation in release rates yields important information for managers to target specialized fishers to incentivize catch-and-release fishing with an objective of changing behaviour. Information on natural resource user motivations and satisfactions, such as studied here, has the potential to guide management actions and the ways in which managers interact with resource users.
DOI: 10.5526/erdr-00000085
title: Rational Inattention in Online Dating
DOI: 10.17036/researchdata.aston.ac.uk.00000376
title: Growth curve of the crustose lichen Ochrolechia parella obtained from marginal growth rings and by direct measurement
DOI: 10.5526/erdr-00000087
title: Size and Shape Constancy in Consumer Virtual Reality
DOI: 10.17632/6xmxj34y68.1
title: Data for: Developing a Global Indicator for Aichi Target 1 by Merging Online Data Sources to Measure Biodiversity Awareness and Engagement

description: This is the data used to calculate an indicator for Aichi Biodiversity Target 1
DOI: 10.17632/8cp4wjsscc.1
title: Data for: Using status quo bias in a real restaurant experimental setting to nudge individuals towards healthier choices

description: results from experiments using nudges in a restaurant setting
DOI: 10.5281/zenodo.2222462
title: TARGET BioBombe Results

description: BioBombe analysis applied to gene expression data from The Therapeutically Applicable Research To Generate Effective Treatments (TARGET) program. Method and results described in https://github.com/greenelab/BioBombe
DOI: 10.5281/zenodo.2222468
title: TARGET BioBombe Results - Randomly Permuted Data

description: BioBombe analysis applied to <strong>randomly permuted</strong> gene expression data from The Therapeutically Applicable Research To Generate Effective Treatments (TARGET) program. Method and results described in https://github.com/greenelab/BioBombe
DOI: 10.5281/zenodo.2222342
title: Air quality data created by the hackAIR Horizon2020 project

description: The current datasets comprise of air quality data collected or created within the hackAIR project (https://platform.hackair.eu/) all around Europe from February 2018 until November 2018.

i) "measurements_arduino.xlsx": PM10 and PM2.5 measurements collected by hackAIR users with stationary hackAIR sensors (https://www.hackair.eu/hackair-home-v2/). These sensing devices are based either on an Arduino or a Wemos board. The first column is the unique identifier for the measurement in the hackAIR database. The date/time is in UTC timezone, while the unit of the pollutant value is μg/m3.

ii) "measurements_bleair.xlsx": PM10 and PM2.5 measurements collected by hackAIR users with mobile hackAIR sensors (https://www.hackair.eu/hackair-mobile/). The first column is the unique identifier for the measurement in the  database. The date/time is in UTC timezone, while the unit of the pollutant value is μg/m3.

iii) "measurements_sky_photos.xlsx": Air pollution estimations from photos depicting sky. The hackAIR platform estimates the particulate matter content in the air from Flickr photos, photos from webcams and sky photos that users upload on the hackAIR mobile application, based on the colour of the sky. This is expressed as Aerosol Optical Depth (AOD). In the current dataset, the timezone is UTC, while AOD is unitless.

The pollutant index is based on a scale created for the purposes of the hackAIR project.
DOI: 10.5517/ccdc.csd.cc20tngz
title: CCDC 1871701: Experimental Crystal Structure Determination

description: Related Article: Maurice G. Sorolla, Xiqu Wang, Tatyana Makarenko, Allan J. Jacobson|2018|Chem.Commun.|55|342|doi:10.1039/C8CC08372J
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: 10.26300/9jyv-7864
title: Supplementary materials and data availability instructions for the manuscript: "Trends in medication adherence in HIV patients with Medicaid, 2001–2012: an observational cohort study (In Review)"
DOI: 10.5281/zenodo.2238771
title: Determinants of energy futures - a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

description: Scenario discovery SAMBA data files:

1)  The folder SAMBA_324_datafiles.zip contains all 324 data files for the OSeMOSYS run.<br>
    Each of these files has a code on top referring to the combination that it represents.<br>
    The key to the levers is in the Excel file "Metafile". There the naming convention of technologies as well as corresponding  combination for scenario are also available.<br>
2)  The Access database Scenario_discovery_database.mbd contans results from the 324 runs.<br>
    The key to the scenarios are in the Excel file "Metafile" tab "Scenario_key".<br>
3)  The file OSeMOSYS_SAMBA_161130.txt is the version OSeMOSYS that was used to run all scenarios.<br>
4)  The PRIM analysis is available on the GitHub repository: https://github.com/NMoksnes/Scenario_discovery
DOI: 10.5281/zenodo.2238772
title: Determinants of energy futures - a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

description: Scenario discovery SAMBA data files:

1)  The folder SAMBA_324_datafiles.zip contains all 324 data files for the OSeMOSYS run.<br>
    Each of these files has a code on top referring to the combination that it represents.<br>
    The key to the levers is in the Excel file "Metafile". There the naming convention of technologies as well as corresponding  combination for scenario are also available.<br>
2)  The Access database Scenario_discovery_database.mbd contans results from the 324 runs.<br>
    The key to the scenarios are in the Excel file "Metafile" tab "Scenario_key".<br>
3)  The file OSeMOSYS_SAMBA_161130.txt is the version OSeMOSYS that was used to run all scenarios.<br>
4)  The PRIM analysis is available on the GitHub repository: https://github.com/NMoksnes/Scenario_discovery
DOI: 10.5517/ccdc.csd.cc1ncg3l
title: CCDC 1530349: Experimental Crystal Structure Determination

description: Related Article: H. Athmani, C. Kijatkin, R. Benali-Cherif, S. Pillet, D. Schaniel, M. Imlau, N. Benali-Cherif, E.-E. Bendeif|2019|Acta Crystallogr.,Sect.A: Found. Adv.|75|107|doi:10.1107/S2053273318014122
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.cc20tvxm
title: CCDC 1871901: Experimental Crystal Structure Determination

description: Related Article: Jyoti Shukla,  M. R. Ajayakumar,  Pritam Mukhopadhyay|2018|Org.Lett.|20|7864|doi:10.1021/acs.orglett.8b03408
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.cc20v197
title: CCDC 1872068: Experimental Crystal Structure Determination

description: Related Article: Mostafa M. Amer,  Ana C. Carrasco,  Daniel J. Leonard,  John W. Ward,  Jonathan Clayden|2018|Org.Lett.|20|7977|doi:10.1021/acs.orglett.8b03551
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: 10.3886/icpsr37211
title: United States Census of Manufactures, Sugar Refining Industry, 1929, 1931, 1933, 1935
title: Archival Version

description: The United States Census Bureau has conducted surveys of manufacturing activity since 1810 with fluctuating frequency. Between 1919 and 1939 the Census of Manufactures (CM) was conducted biennially. This data collection consists of individual-plant data from the Census of Manufactures for 1929, 1931, 1933, and 1935, the only years in this span for which original returns are available. The records of the Sugar Refining Industry have been coded to produce an electronic dataset to provide the basis for microeconomic evidence for the study of the Great Depression. The dataset contains observations on sugar refining operations, plants (e.g. name, location, etc.), products made, operation and working hours, employment, wages and salaries, and operating costs.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of
					disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major
					statistical software formats as well as standard codebooks to accompany the data. In addition to
					these procedures, ICPSR performed the following processing steps for this data collection:
					Checked for undocumented or out-of-range codes..
description: Datasets:
					
						DS1: Dataset
description: Census of Manufactures Series
description: mail questionnaire
description: United States sugar refining plants or establishments, 1929-1935
						Smallest Geographic Unit: Address
description: No sampling was applied. The universe of reporting firms is included in the dataset.
DOI: 10.3886/icpsr37211.v1
title: United States Census of Manufactures, Sugar Refining Industry, 1929, 1931, 1933, 1935
title: Version 1

description: The United States Census Bureau has conducted surveys of manufacturing activity since 1810 with fluctuating frequency. Between 1919 and 1939 the Census of Manufactures (CM) was conducted biennially. This data collection consists of individual-plant data from the Census of Manufactures for 1929, 1931, 1933, and 1935, the only years in this span for which original returns are available. The records of the Sugar Refining Industry have been coded to produce an electronic dataset to provide the basis for microeconomic evidence for the study of the Great Depression. The dataset contains observations on sugar refining operations, plants (e.g. name, location, etc.), products made, operation and working hours, employment, wages and salaries, and operating costs.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of
					disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major
					statistical software formats as well as standard codebooks to accompany the data. In addition to
					these procedures, ICPSR performed the following processing steps for this data collection:
					Checked for undocumented or out-of-range codes..
description: Datasets:
					
						DS1: Dataset
description: Census of Manufactures Series
description: mail questionnaire
description: United States sugar refining plants or establishments, 1929-1935
						Smallest Geographic Unit: Address
description: No sampling was applied. The universe of reporting firms is included in the dataset.
DOI: 10.5517/ccdc.csd.cc20tyc5
title: CCDC 1871977: Experimental Crystal Structure Determination

description: Related Article: Dongyang Wang,  Qi Chen,  Xuebing Leng,  Liang Deng|2018|Inorg.Chem.|57|15600|doi:10.1021/acs.inorgchem.8b02937
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.cc20tyd6
title: CCDC 1871978: Experimental Crystal Structure Determination

description: Related Article: Dongyang Wang,  Qi Chen,  Xuebing Leng,  Liang Deng|2018|Inorg.Chem.|57|15600|doi:10.1021/acs.inorgchem.8b02937
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.cc20tyf7
title: CCDC 1871979: Experimental Crystal Structure Determination

description: Related Article: Dongyang Wang,  Qi Chen,  Xuebing Leng,  Liang Deng|2018|Inorg.Chem.|57|15600|doi:10.1021/acs.inorgchem.8b02937
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.cc20tyg8
title: CCDC 1871980: Experimental Crystal Structure Determination

description: Related Article: Dongyang Wang,  Qi Chen,  Xuebing Leng,  Liang Deng|2018|Inorg.Chem.|57|15600|doi:10.1021/acs.inorgchem.8b02937
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.cc20vb6f
title: CCDC 1872344: Experimental Crystal Structure Determination

description: Related Article: Nadzeya A. Kukhta, Andrei S. Batsanov, Martin R. Bryce, Andrew P. Monkman|2018|J.Phys.Chem.C|122|28564|doi:10.1021/acs.jpcc.8b10867
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: 10.17036/researchdata.aston.ac.uk.00000371
title: Data underpinning article "Clustering of tau-immunoreactive pathology in chronic traumatic encephalopathy"
DOI: 10.25919/5c1182926f4ba
title: FoGSS model inputs and outputs

description: Inputs to and outputs from the Forecast Guided Stochastic Model used  to produce the paper:
Bennett JC, Wang QJ, Robertson DE, Schepen A, Li M, Michael K. 2017. Assessment of an ensemble seasonal streamflow forecasting system for Australia. Hydrol. Earth Syst. Sci. Discuss. 2017: 1-36. DOI: 10.5194/hess-2017-395.
DOI: 10.17632/2fwkt4js7f.1
title: Data for: The association between blood urea nitrogen to creatinine ratio and mortality in patients with upper gastrointestinal bleeding

description: Statisic software for analysis of data. 30-day mortality was '死亡'. History of malignancy was '癌症'.
DOI: 10.17632/2smrbsjbf7.2
title: Data for: EFFECTS OF SUTURE TECHNIQUE ON MESH SHRINKAGE (An Experimental Study)

description: Polypropylene meshes are one of the most frequently used patches in inguinal hernia repairs. This material was proved to be not completely inert, and may cause inflammatory responses like foreign body reactions. One of the physical results of this inflammatory reaction against the mesh is mesh shrinkage which is responsible for recurrence and pain. In this study, we aimed to investigate the effects of the suture technique on mesh shrinkage. For the first time, as far as we know, our work shows that we need to stabilize the mesh to prevent shrinkage. Even though statistically not significant, fixation of the mesh with interrupted sutures seems to be more advantageous compared to fixation with continuous sutures.
DOI: 10.7483/opendata.cms.6d1t.jt47
title: Simulated dataset GluGluToHToGG_M-125_7TeV-powheg-pythia6 in AODSIM format for 2011 collision data
DOI: 10.5517/ccdc.csd.cc1lck0j
title: CCDC 1470857: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Sadovoy, Veronica V. Kattsyna, Polina S. Protopopova, Yulia V. Nelyubina, Alexander A. Pavlov, Konstantin A. Kochetkov, Lyudmila A. Sviridova|2018|Heteroat.Chem.|29|e21451|doi:10.1002/hc.21451
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.cc1lck1k
title: CCDC 1470858: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Sadovoy, Veronica V. Kattsyna, Polina S. Protopopova, Yulia V. Nelyubina, Alexander A. Pavlov, Konstantin A. Kochetkov, Lyudmila A. Sviridova|2018|Heteroat.Chem.|29|e21451|doi:10.1002/hc.21451
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.cc20npr4
title: CCDC 1866936: Experimental Crystal Structure Determination

description: Related Article: Jiawei Chen,  Tao Chen,  Jack R. Norton,  Michael Rauch|2018|Organometallics|37|4424|doi:10.1021/acs.organomet.8b00690
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.cc20nvq8
title: CCDC 1867090: Experimental Crystal Structure Determination

description: Related Article: Stefan Vanicek,  Markus Jochriem,  Christopher Hassenrück,  Souvik Roy,  Holger Kopacka,  Klaus Wurst,  Thomas Müller,  Rainer F. Winter,  Erwin Reisner,  Benno Bildstein|2018|Organometallics|38|1361|doi:10.1021/acs.organomet.8b00681
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.cc20nvr9
title: CCDC 1867091: Experimental Crystal Structure Determination

description: Related Article: Stefan Vanicek,  Markus Jochriem,  Christopher Hassenrück,  Souvik Roy,  Holger Kopacka,  Klaus Wurst,  Thomas Müller,  Rainer F. Winter,  Erwin Reisner,  Benno Bildstein|2018|Organometallics|38|1361|doi:10.1021/acs.organomet.8b00681
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.cc20nvsb
title: CCDC 1867092: Experimental Crystal Structure Determination

description: Related Article: Stefan Vanicek,  Markus Jochriem,  Christopher Hassenrück,  Souvik Roy,  Holger Kopacka,  Klaus Wurst,  Thomas Müller,  Rainer F. Winter,  Erwin Reisner,  Benno Bildstein|2018|Organometallics|38|1361|doi:10.1021/acs.organomet.8b00681
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: 10.18434/t4/1503298
title: Source program files for "reductus: a stateless Python data-reduction service with a
            browser frontend"

description: Python and Javascript source files for the reductus program, used for data
            reduction for all the neutron reflectometers at the NIST Center for Neutron Research
            (includes the PBR, MAGIK and NG7 Refl instruments)
DOI: 10.5517/ccdc.csd.cc20nwm6
title: CCDC 1867118: Experimental Crystal Structure Determination

description: Related Article: Ming-Wei Zheng,  Xin Yuan,  Yu-Sheng Cui,  Jiang-Kai Qiu,  Guigen Li,  Kai Guo|2018|Org.Lett.|20|7784|doi:10.1021/acs.orglett.8b03191
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.cc20pjcm
title: CCDC 1867730: Experimental Crystal Structure Determination

description: Related Article: Nickolas H. Anderson,  James M. Boncella,  Aaron M. Tondreau|2018|Organometallics|37|4675|doi:10.1021/acs.organomet.8b00687
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.