cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25440/smu.14724945.v1
title: Data from: Forces of corruption: Effects of power on perceptions of openness and information-sharing

description: This is the underlying dataset for the master thesis: <i>Forces of corruption: Effects of power on perceptions of openness and information-sharing</i>. <br>In considering the power relations that characterize a manager-subordinate relationship, upward information-sharing is often constrained by relative power differentials. However, a burgeoning volume of research has established that power holders are more attuned to situational goals, thus exhibit greater flexibility in behaviour than powerless persons. This paper therefore proposed a model with epistemic motivation as an intervening variable that enhances information-sharing between dyadic counterparts who have unequal power. However, this model was not supported by findings. Nonetheless, this can be attributed to experimental settings – which future studies should address with construct replication.
DOI: 10.6084/m9.figshare.14863638
title: Electronic Supplementary Materials.rar

description: Data in Brief and Methods
DOI: 10.6084/m9.figshare.14863488
title: COL11A1 sequencing results.zip

description: Identification of novel heterozygous missense variant in the <i>COL11A1</i> gene.
DOI: 10.6084/m9.figshare.14863488.v1
title: COL11A1 sequencing results.zip

description: Identification of novel heterozygous missense variant in the <i>COL11A1</i> gene.
DOI: 10.5281/zenodo.5035542
title: Winning by Default: Why is There So Little Competition in Government Procurement?

description: The package contains all the data and code necessary to reproduce the figures and tables in Kang and Miller (forthcoming). ``Winning by Default: Why is There So Little Competition in Government Procurement?" <em>The Review of Economic Studies</em>.
DOI: 10.34740/kaggle/dsv/2375619
title: Twitter: Trending Tweets per week (updated weekly)
DOI: 10.6084/m9.figshare.14863583.v1
title: Additional file 1 of Dental effects of enzyme replacement therapy in case of childhood-type hypophosphatasia

description: Additional file 1. Dental age. Dental ages of incisors, first and second premolars, and second molars were evaluated from results obtained in a total of 8 panoramic radiography sessions.
DOI: 10.6084/m9.figshare.14863510.v1
title: Additional file 2 of Biomechanical analysis of an unpowered hip flexion orthosis on individuals with and without multiple sclerosis

description: Additional file 2. Data from which ANOVAs were carried out in .xlsx format. Includes joint mechanics and muscle activity for both legs of all participants.
DOI: 10.6084/m9.figshare.14863507.v1
title: Additional file 1 of Biomechanical analysis of an unpowered hip flexion orthosis on individuals with and without multiple sclerosis

description: Additional file 1. ANOVA numerical results including effect sizes and results from non-device-wearing leg.
DOI: 10.6084/m9.figshare.14863583
title: Additional file 1 of Dental effects of enzyme replacement therapy in case of childhood-type hypophosphatasia

description: Additional file 1. Dental age. Dental ages of incisors, first and second premolars, and second molars were evaluated from results obtained in a total of 8 panoramic radiography sessions.
DOI: 10.6084/m9.figshare.14863510
title: Additional file 2 of Biomechanical analysis of an unpowered hip flexion orthosis on individuals with and without multiple sclerosis

description: Additional file 2. Data from which ANOVAs were carried out in .xlsx format. Includes joint mechanics and muscle activity for both legs of all participants.
DOI: 10.6084/m9.figshare.14863507
title: Additional file 1 of Biomechanical analysis of an unpowered hip flexion orthosis on individuals with and without multiple sclerosis

description: Additional file 1. ANOVA numerical results including effect sizes and results from non-device-wearing leg.
DOI: 10.5281/zenodo.4782196
title: HIKARI-2021: Generating Encrypted Network Traffic for Intrusion Detection Datasets

description: Available datasets from the paper Generating Encrypted Network Traffic for Intrusion Detection Datasets.
DOI: 10.21227/j18e-ca80
title: Dataset for article: A Study on the Association of Socioeconomic and Physical Cofactors Contributing to Power Restoration After Hurricane Maria

description: The dataset contains hurricane Maria-induced outage duration at the barrio level derived from nighttime lights, along with the values of cofactors from socioeconomic and physical factors that influenced the recovery process.
DOI: 10.5281/zenodo.4972857
title: Agriculture and food system scenarios with particular focus on organic and agro-ecological farming practices in the EU

description: This is a comprehensive dataset of the agriculture and food system scenarios co-developed with stakeholders with the agricultural land use model BioBaM-GHG 2.0 and presented in Deliverable 4.2 of the H2020 project UNISECO. It includes sub-national (NUTS1/2-level) data on agricultural production and consumption, land use, greenhouse gas emissions from livestock and agricultural activities, etc. for the base year 2012 and the scenario years 2030 and 2050. The scenarios include a Business as usual case and four scenarios with focus on organic and agro-ecological farming practices in the EU, based on different storylines. Further information is available from the above-mentioned deliverable. A detailed model description is provided in the paper "Exploring the option space for land system futures at regional to global scales: The diagnostic agro-food, land use and greenhouse gas emission model BioBaM-GHG 2.0", in which these scenarios are also presented as an exemplary application of the model BioBaM-GHG 2.0. This work was funded by the ERA-NET SusAn project 101243 AnimalFuture, as well as by the European Union’s Horizon 2020 research and innovation programme and its funding of the H2020 UNISECO project under grant agreement N°773901.
DOI: 10.5281/zenodo.4972856
title: Agriculture and food system scenarios with particular focus on organic and agro-ecological farming practices in the EU

description: This is a comprehensive dataset of the agriculture and food system scenarios co-developed with stakeholders with the agricultural land use model BioBaM-GHG 2.0 and presented in Deliverable 4.2 of the H2020 project UNISECO. It includes sub-national (NUTS1/2-level) data on agricultural production and consumption, land use, greenhouse gas emissions from livestock and agricultural activities, etc. for the base year 2012 and the scenario years 2030 and 2050. The scenarios include a Business as usual case and four scenarios with focus on organic and agro-ecological farming practices in the EU, based on different storylines. Further information is available from the above-mentioned deliverable. A detailed model description is provided in the paper "Exploring the option space for land system futures at regional to global scales: The diagnostic agro-food, land use and greenhouse gas emission model BioBaM-GHG 2.0", in which these scenarios are also presented as an exemplary application of the model BioBaM-GHG 2.0. This work was funded by the ERA-NET SusAn project 101243 AnimalFuture, as well as by the European Union’s Horizon 2020 research and innovation programme and its funding of the H2020 UNISECO project under grant agreement N°773901.
DOI: 10.5281/zenodo.4965053
title: Global agricultural land use scenarios for estimating the potential of forest regeneration for climate mitigation to 2050

description: The dataset includes 90 global food system and land use scenarios developed with the model BioBaM-GHG 2.0. The scenarios have been developed for assessing the global potential of forest regeneration for climate mitigation to 2050 under various food system pathways, i.e. diets, crop yield developments, land requirements for energy crops, and two variants of grassland use. The scenarios include the following data on country level: Land use and land-use change, cropland area by crop group, grazing area by quality classes, crop production by crop groups, crop consumption by crop groups and use types, crop wastes (losses), net imports/exports, production and consumption of animal products, grass supply and demand, GHG emissions from land-use change, GHG emissions from agricultural activities, and total cumulated GHG emissions. The main model result in this context, cumulative carbon sequestration from forest regeneration until 2050, is calculated as difference between the parameters "GHG emissions from land use change (cumulative) (Mt CO2e)" and "GHG emissions from land use change excluding C stock changes from natural succession (cumulative) (Mt CO2e)". Please refer to the related publication "Exploring the option space for land system futures at regional to global scales: The diagnostic agro-food, land use and greenhouse gas emission model BioBaM-GHG 2.0" (Kalt et al., 2021 - currently under review at Ecological Modelling) for further information. This work was funded by the Austrian Science Fund (FWF) within project P29130-G27 GELUC.
DOI: 10.5281/zenodo.4965052
title: Global agricultural land use scenarios for estimating the potential of forest regeneration for climate mitigation to 2050

description: The dataset includes 90 global food system and land use scenarios developed with the model BioBaM-GHG 2.0. The scenarios have been developed for assessing the global potential of forest regeneration for climate mitigation to 2050 under various food system pathways, i.e. diets, crop yield developments, land requirements for energy crops, and two variants of grassland use. The scenarios include the following data on country level: Land use and land-use change, cropland area by crop group, grazing area by quality classes, crop production by crop groups, crop consumption by crop groups and use types, crop wastes (losses), net imports/exports, production and consumption of animal products, grass supply and demand, GHG emissions from land-use change, GHG emissions from agricultural activities, and total cumulated GHG emissions. The main model result in this context, cumulative carbon sequestration from forest regeneration until 2050, is calculated as difference between the parameters "GHG emissions from land use change (cumulative) (Mt CO2e)" and "GHG emissions from land use change excluding C stock changes from natural succession (cumulative) (Mt CO2e)". Please refer to the related publication "Exploring the option space for land system futures at regional to global scales: The diagnostic agro-food, land use and greenhouse gas emission model BioBaM-GHG 2.0" (Kalt et al., 2021 - currently under review at Ecological Modelling) for further information. This work was funded by the Austrian Science Fund (FWF) within project P29130-G27 GELUC.
DOI: 10.25919/a3a4-yz30
title: Parkes observations for project PX600 semester 2020APRS_44

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.25917/nvan-5v98
title: In-situ leaf size measurements of Drosera mannii (Droseraceae) from south-west Western Australia
DOI: 10.25917/hj71-hw25
title: In-situ leaf size measurements of Drosera occidentalis (Droseraceae) from south-west Western Australia
DOI: 10.25917/6r5r-hp12
title: In-situ leaf size measurements of Drosera pulchella (Droseraceae) from south-west Western Australia
DOI: 10.6084/m9.figshare.14864808
title: Supplementary Material for: Therapist-Guided Internet-Based Treatments for Loneliness: A Randomized Controlled Three-Arm Trial Comparing Cognitive Behavioral Therapy and Interpersonal Psychotherapy

description: <b><i>Introduction:</i></b> Chronic loneliness has been linked to many adverse outcomes, including mental health problems. Psychological treatment of loneliness can be effective, but the evidence base is limited. <b><i>Objective:</i></b> To investigate the efficacy of 2 internet-based interventions based on cognitive behavioral therapy (ICBT) and interpersonal psychotherapy (IIPT) relative to a wait-list control group and each other. <b><i>Methods:</i></b> A total of 170 participants were recruited and randomized to either 9 weeks of ICBT (<i>n</i> = 68), IIPT (<i>n</i> = 68), or a wait-list condition (<i>n</i> = 34). The primary outcome was loneliness, measured using the UCLA Loneliness Scale before, during, and after treatment. Secondary measures of psychiatric disorders and quality of life were administered before and after treatment. Follow-up was conducted 4 months after the treatment had ended. Primary outcome data were analyzed using growth curve modeling. Secondary outcomes were analyzed using robust regression models. The trial was preregistered (ClinicalTrials.gov ID: NCT03807154). <b><i>Results:</i></b> The ICBT condition had a significantly greater impact on loneliness compared to the wait-list and IIPT conditions. Effect sizes were moderate to large (Cohen <i>d</i> = 0.71) compared to the wait-list and moderate (<i>d</i> = 0.53) compared to IIPT. The IIPT condition did not differ significantly from the wait-list. Both active treatments led to significant increases in quality of life. Only the ICBT group had significantly lower symptoms of depression and generalized anxiety compared to the wait-list group. Treatment gains were maintained but not improved at follow-up. <b><i>Conclusions:</i></b> ICBT can be an efficacious option for alleviating loneliness. The IIPT intervention was not as effective.
DOI: 10.6084/m9.figshare.14864808.v1
title: Supplementary Material for: Therapist-Guided Internet-Based Treatments for Loneliness: A Randomized Controlled Three-Arm Trial Comparing Cognitive Behavioral Therapy and Interpersonal Psychotherapy

description: <b><i>Introduction:</i></b> Chronic loneliness has been linked to many adverse outcomes, including mental health problems. Psychological treatment of loneliness can be effective, but the evidence base is limited. <b><i>Objective:</i></b> To investigate the efficacy of 2 internet-based interventions based on cognitive behavioral therapy (ICBT) and interpersonal psychotherapy (IIPT) relative to a wait-list control group and each other. <b><i>Methods:</i></b> A total of 170 participants were recruited and randomized to either 9 weeks of ICBT (<i>n</i> = 68), IIPT (<i>n</i> = 68), or a wait-list condition (<i>n</i> = 34). The primary outcome was loneliness, measured using the UCLA Loneliness Scale before, during, and after treatment. Secondary measures of psychiatric disorders and quality of life were administered before and after treatment. Follow-up was conducted 4 months after the treatment had ended. Primary outcome data were analyzed using growth curve modeling. Secondary outcomes were analyzed using robust regression models. The trial was preregistered (ClinicalTrials.gov ID: NCT03807154). <b><i>Results:</i></b> The ICBT condition had a significantly greater impact on loneliness compared to the wait-list and IIPT conditions. Effect sizes were moderate to large (Cohen <i>d</i> = 0.71) compared to the wait-list and moderate (<i>d</i> = 0.53) compared to IIPT. The IIPT condition did not differ significantly from the wait-list. Both active treatments led to significant increases in quality of life. Only the ICBT group had significantly lower symptoms of depression and generalized anxiety compared to the wait-list group. Treatment gains were maintained but not improved at follow-up. <b><i>Conclusions:</i></b> ICBT can be an efficacious option for alleviating loneliness. The IIPT intervention was not as effective.
DOI: 10.6084/m9.figshare.14864802
title: Supplementary Material for: Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation

description: <b><i>Background:</i></b> Pressurized myography is useful for the assessment of small artery structures and function. However, this procedure requires technical expertise for sample preparation and effort to choose an appropriate sized artery. In this study, we developed an automatic artery/vein differentiation and a size measurement system utilizing machine learning algorithms. <b><i>Methods and Results:</i></b> We used 654 independent mouse mesenteric artery images for model training. The model yielded an Intersection-over-Union of 0.744 ± 0.031 and a Dice coefficient of 0.881 ± 0.016. The vessel size and lumen size calculated from the predicted vessel contours demonstrated a strong linear correlation with manually determined vessel sizes (<i>R</i> = 0.722 ± 0.048, <i>p</i> &lt; 0.001 for vessel size and <i>R</i> = 0.908 ± 0.027, <i>p</i> &lt; 0.001 for lumen size). Last, we assessed the relation between the vessel size before and after dissection using a pressurized myography system. We observed a strong positive correlation between the wall/lumen ratio before dissection and the lumen expansion ratio (<i>R</i> = 0.832, <i>p</i> &lt; 0.01). Using multivariate binary logistic regression, 2 models estimating whether the vessel met the size criteria (lumen size of 160–240 μm) were generated with an area under the receiver operating characteristic curve of 0.761 for the upper limit and 0.747 for the lower limit. <b><i>Conclusion:</i></b> The U-Net-based image analysis method could streamline the experimental approach.
DOI: 10.6084/m9.figshare.14832690
title: dataset for PLOS ONE paper

description: data and code to generate figures of PLOS ONE paper<br><br>figure_3_4.m: matlab code file to generate figure 3 and figure 4<br><br>figure_5_dwPLI_results.pzf: graphpad prism file which includes result data of functional connectivity analysis and bar graphs.<br>results_timefrequency.mat: matlab file including FieldTrip type structure variables, timefrequency data averaged over arousal condition at each time interval and frequency band. timefrequency data are represented in "TF" field.<br>results_clusters.mat: matlab file including FieldTrip type structure variables, results of cluster-based permutation test on timefrequency data at each time interval and frequency band. statistical results are represented in "StatClusters" field. significant clusters are represented in either "StatClusters.posclusters" or "StatClusters.negclusters" field.<br>template_surface.mat: matlab file including standard brain template extracted from Brainstorm toolbox<br>func_*.m = custom matlab functions<br>Brainstorm toolbox is available in: https://neuroimage.usc.edu/bst/download.php<br>FieldTrip data structure is described in: https://www.fieldtriptoolbox.org/development/datastructure/
DOI: 10.6084/m9.figshare.14832690.v1
title: dataset for PLOS ONE paper

description: data and code to generate figures of PLOS ONE paper<br><br>figure_3_4.m: matlab code file to generate figure 3 and figure 4<br><br>figure_5_dwPLI_results.pzf: graphpad prism file which includes result data of functional connectivity analysis and bar graphs.<br>results_timefrequency.mat: matlab file including FieldTrip type structure variables, timefrequency data averaged over arousal condition at each time interval and frequency band. timefrequency data are represented in "TF" field.<br>results_clusters.mat: matlab file including FieldTrip type structure variables, results of cluster-based permutation test on timefrequency data at each time interval and frequency band. statistical results are represented in "StatClusters" field. significant clusters are represented in either "StatClusters.posclusters" or "StatClusters.negclusters" field.<br>template_surface.mat: matlab file including standard brain template extracted from Brainstorm toolbox<br>func_*.m = custom matlab functions<br>Brainstorm toolbox is available in: https://neuroimage.usc.edu/bst/download.php<br>FieldTrip data structure is described in: https://www.fieldtriptoolbox.org/development/datastructure/
DOI: 10.5519/qd.9nof0u6x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (37 records)
DOI: 10.15151/esrf-es-446863727
title: Stability of Ag2S quantum dots for integrated imaging and therapy

description: Silver sulphide quantum dots (Ag2S QDs) are semiconductor nanocrystals with appealing optical properties that make them suitable for theranostics applications. For instance, Ag2S QDs might serve as the core of nanoplatforms for imaging, drug delivery and therapy. The bottleneck in the development of QD-based nanoplatforms is the lack of information about their stability in biological environments and their biocompatibility. This proposal aims at providing an insightful structural and chemical characterization of Ag2S QDs designed and synthesized in our laboratory. The influence of the coating on the stability in vitro, including in simulated biological media, will be assessed. This will allow us to identify QD formulations that are potentially of interest for the development of novel NIR emitting labels for biomedical applications.
DOI: 10.15151/esrf-es-478854138
title: IHR

description: IHR
DOI: 10.15151/esrf-es-446319034
title: Towards improved spin qubit quality: Low temperature determination of strain fluctuations in Si/SiGe induced by metal surface electrodes

description: We aim to investigate the strain fluctuations induced by TiN electrodes in epitaxial Si/SiGe quantum well (QW) heterostructures for housing of spin qubits. For this, we employ Scanning Xray Diffraction Microscopy (SXDM) at low temperature. Strain fluctuations are expected to cause variations in the local electromagnetic potential in the QW, which will strongly influence the qubit performance. Qubits are operated at cryogenic temperatures, while the strain is dependent on temperature due to the different coefficients of thermal expansion. Thus measurements at low temperature are necessary to determine the strain distribution which will affect the qubit. We will compare the experimental results with Finite Element (FEM) simulations based on an edge-force model. We have chosen TiN as an electrode material because it is commonly used in CMOS processes, which are suitable due to their technological maturity to fabricate large arrays of qubits with homogenous properties.
DOI: 10.15151/esrf-es-446319443
title: IN SITU NANO-TOMOGRAPHY TO UNRAVEL THE 3D MORPHOLOGY EVOLUTION AND LITHIATION PROCESS OF NOVEL SILICON/GRAPHITE ANODES FOR LI-ION BATTERIES

description: We want to witness continuously the dynamical morphological degradation and lithiation process in next generation Si (Gen2-Si) -composite anode lithium-ion cells with cycling. Expected results are: (i) Quantification of the morphological evolution with cycling to trigger design guidelines for novel industrial and scientific relevant Gen2-Si/graphite anode materials. (ii) Application of a combined approach comprising in situ 3D nano-synchrotron tomography, advanced image analysis workflow and FE-modelling. (iii) Understanding of the relation between active material and the proximate morphology, to provide a quantified insight to the lithiation process. (iv) Quantify the adhesion formation with cycling at the active material/protective coating-carbon binder domain interface, (v) Quantification of the spatial tortuosity in context to the lithium transport characteristic for different SOCs. (vi) Full understanding of the aging mechanism with respect to e.g. crack growth with cycling.