This dataset from Dimensions.ai contains all published articles, preprints, clinical trials, grants and research datasets that are related to COVID-19. This growing collection of research information now amounts to hundreds of thousands of items, and it is the only dataset of its kind. You can find an overview of the content in this interactive Data Studio dashboard: https://reports.dimensions.ai/covid-19/ The full metadata includes the researchers and organizations involved in the research, as well as abstracts, open access status, research categories and much more. You may wish to use the Dimensions web application to explore the dataset: https://covid-19.dimensions.ai/. This dataset is for researchers, universities, pharmaceutical & biotech companies, politicians, clinicians, journalists, and anyone else who wishes to explore the impact of the current COVID-19 pandemic. It is updated daily, and free for anyone to access. Please share this information with anyone you think would benefit from it. If you have any suggestions as to how we can improve our search terms to maximise the volume of research related to COVID-19, please contact us at support@dimensions.ai. About Dimensions: Dimensions is the largest database of research insight in the world. It contains a comprehensive collection of linked data related to the global research and innovation ecosystem, all in a single platform. This includes hundreds of millions of publications, preprints, grants, patents, clinical trials, datasets, researchers and organizations. Because Dimensions maps the entire research lifecycle, you can follow academic and industry research from early stage funding, through to output and on to social and economic impact. This Covid-19 dataset is a subset of the full database. The full Dimensions database is also available on BigQuery, via subscription. Please visit www.dimensions.ai/bigquery to gain access.Más información

This dataset tracks annual white student percentage from 2002 to 2023 for Two Dimensions Preparatory Academy vs. Texas and Two Dimensions Preparatory Academy School District

The Agency for Toxic Substances and Disease Registry (ATSDR) Hazardous Waste Site Polygon Data, Version 2 consists of 2,080 polygons for selected hazardous waste sites that

were compiled on May 26, 2010. Most polygons represent sites considered for cleanup under the Comprehensive Environmental Response, Compensation and Liability Act (CERCLA or Superfund).

Typical sites are either on the EPA National Priorities List (NPL) or are being considered for inclusion on the NPL. The hazardous waste site boundaries maintained by the Geospatial

Research, Analysis, and Services Program (GRASP, Division of Health Studies, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention) contain NPL and

non-NPL hazardous waste site boundaries for which health assessments or consultations have been requested.

The Pan-Arctic Political Mask, is a raster based dataset of administrative areas and political boundaries in the NSIDC Equal-Area Scalable Earth Grid (EASE-Grid) with pixel size of 25.067525 meters. This dataset was produced by combining and rasterizing several vector based political datasets. Among these are the Rusray dataset created by Alexander Perepechko and Dmitry Sharkov for Russia, the Standard Geographical Classification (SGC) 2001 for Canada, the Census 2000 County and County Equivalent Areas dataset for the United States and the GADM database of Global Administrative Areas for Europe. The administrative units for Greenland were taken from the Wikipedia article 'Administrative divisions of Greenland' (accessed 6/23/2010). The Dataset consists of 7 variables. A unique key used for identification (PLACECODE2) and three pairs of Name/Code variables corresponding to the three administrative levels Nation, SubNation and Admin.

The Global Reservoir and Dam Database, Version 1 (Revision 01) contains 6,862 records of reservoirs and their associated dams with a cumulative storage capacity of 6,197 cubic km. The dams were geospatially referenced and assigned to polygons depicting reservoir outlines at high spatial resolution. Dams have multiple attributes, such as name of the dam and impounded river, primary use, nearest city, height, area and volume of reservoir, and year of construction (or commissioning). While the main focus was to include all dams associated with reservoirs that have a storage capacity of more than 0.1 cubic kilometers, many smaller dams and reservoirs were added where data were available. The data were compiled by Lehner et al. (2011) and are distributed by the Global Water System Project (GWSP) and by the Columbia University Center for International Earth Science Information Network (CIESIN). For details please refer to the Technical Documentation which is provided with the data.

This study examines individual attitudes and expectations of Australian Antarctic Division (AAD) organisational culture, encompassing staff working at the AAD in Tasmania as well as those working on stations in Antarctica. This project was commissioned by the AAD to guide cultural change. This research is important because relatively little organisational research has been carried out on Science, Technology, Engineering and Mathematics (STEM) institutions broadly or in Australian public sector organisation. This study provides critical empirical data to significantly extend Antarctic social sciences research and contribute to cultural change efforts at the AAD in the future. The data set comprises 15 de-identified interview transcripts with AAD employees collected between March and May 2021. Participants were asked questions about themselves (e.g., age, postcode, education, employment) as well as questions focusing on how they perceived the AAD's organisational culture in Tasmania and/or Antarctica; their perceptions of AAD leadership; and their suggestions for how to improve the culture.

Dimensions analysis for Taylor & Francis Impact Assessment Author Survey

BackgroundThe World Health Organization 2018 intrapartum guideline for a positive birth experience emphasized the importance of maternal emotional and psychological well-being during pregnancy and the need for safe childbirth. Today, in many countries birth is safe, yet many women report negative and traumatic birth experiences, with adverse effects on their and their families’ well-being. Many reviews have attempted to understand the complexity of women’s and their partners’ birth experience; however, it remains unclear what the key dimensions of the birth experience are.ObjectiveTo synthesize the information from reviews of qualitative studies on the experience of childbirth in order to identify key dimensions of women’s and their partners’ childbirth experience.MethodsSystematic database searches yielded 40 reviews, focusing either on general samples or on specific modes of birth or populations, altogether covering primary studies from over 35,000 women (and >1000 partners) in 81 countries. We appraised the reviews’ quality, extracted data and analysed it using thematic analysis.FindingsFour key dimensions of women’s and partners’ birth experience (covering ten subthemes), were identified: 1) Perceptions, including attitudes and beliefs; 2) Physical aspects, including birth environment and pain; 3) Emotional challenges; and 4) Relationships, with birth companions and interactions with healthcare professionals. In contrast with the comprehensive picture that arises from our synthesis, most reviews attended to only one or two of these dimensions.ConclusionsThe identified key dimensions bring to light the complexity and multidimensionality of the birth experience. Within each dimension, pathways leading towards negative and traumatic birth experiences as well as pathways leading to positive experiences become tangible. Identifying key dimensions of the birth experience may help inform education and research in the field of birth experiences and gives guidance to practitioners and policy makers on how to promote positive birth experiences for women and their partners.

University of California-Riverside, James Reserve, near Idyllwild, Riverside Co., CA basemap. Includes: reserve boundary, 2 meter contour topographic map road, buildings (missing Steward's cabin), nestbox location (incomplete, in process of updating 10/06), environmental sensor location (associated primarily with Center for Embedded Network Systems, CENS at UCLA) and type (incomplete, in process of updating 10/06). Information on sensor and nestbox type.

This dataset tracks annual total revenue from 2000 to 2021 for Two Dimensions Preparatory Academy School District

In-group identification has been suggested to consist of two-dimensions (group based self-definition and self-investment) that hierarchically relate to five lower order components (individual self-stereotyping, in-group homogeneity, satisfaction, solidarity, and centrality). The goal of the present research was to test the generalizability of the two-dimensions-five-components structure of in-group identification (Leach et al.'s 2008) across identities with which people show converging and diverging group based self-definition and self-investment. We manipulated the mean level and the linear correlational strength of the two identification dimensions by asking participants to indicate in-groups to which respective identification criteria apply. Confirmatory factor analyses showed that the two-dimensions-five-components model of in-group identification fits both converging and diverging identification patterns better than alternative models, indicating generalizability of the model across various identification patterns.

Description

The dataset contains the dimensions of structural parts of radio telescopes used for geodetic and astrometric VLBI for the purpose of thermal expansion modelling in geodetic and astrometric VLBI Level-2 data analysis. The 2025-02-21 version is the pre 2025-01-21 version for ITRF2020-u2025.

Context and methodology

• The dataset belongs to publication: Axel Nothnagel (2009) Conventions on thermal expansion modelling of radio telescopes for geodetic and astrometric VLBI; Journal of Geodesy, Vol. 83(3), 787-792, DOI: 10.1007/s00190-008-0284-z where the general concept of thermal expansion modelling is described.
• The data was collected from on-site personnel who measured the dimensions of the structural parts or extracted them from construction drawings.

Technical details

• The data is stored in fixed format ASCII with the data of each telescope in a single line. The format is described in the header of the file.
• No special software is needed to read and use the data.

In each row all proteins in the data set are included for which the PPV from both plmDCA and gplmDCA is larger than the cutoff value given in the first column. The full data set (last row) consists of 729 proteins for 522 (72%) of which gplmDCA performs better than plmDCA. In the most stringent selection (first row) there are 128 proteins where both plmDCA, plmDCA20 and gplmDCA have a PPV of at least 0.5. In this set gplmDCA performs better on 109 (85%) of the instances. By the same criteria, plmDCA20 performs slightly better than gplmDCA, outperforming plmDCA for 579 proteins (79% of all) and performing better in 117 cases (91%) out of 128 proteins highly amenable to contact prediction by these methods.Numbers and fraction of proteins where gplmDCA performs better than plmDCA.

Agroecology is often seen as set of techniques or practices, but to understand why these practices are relevant and how they may be applied requires an understanding of the underlying social context in which farming takes place.In particular, we need to appreciate the political and economic conditions that have given rise to the unsustainable farming practices that agroecology aims to replace.This presentation talking about Social Dimensions of agroecology in Laos. At 1st National Multi-Stakeholder Workshop on Agroecological Transition in the Mekong Region, Vientiane, 2-3 June 2016

Agreement between the Fish and Wildlife Service and the Kansas Forestry, Fish and Game Commission to cooperate in the establishment and operation of a public hunting area and in the control and removal of rough fish on the Kirwin National Wildlife Refuge.

Customs records of are available for NU DIMENSIONS TECHNOLOGIES RAS AL KHAIMAH. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Survey party: Bryan Fitzgerald, Athol Warman and Pat Dosser.

Tasks carried out at Casey: survey of proposed wharf site along the north side of Budnick Island; soundings in Newcomb Bay; skyline surveys at proposed navigational aids

sites at Lanyon Junction and Bailey Peninsula.

Tasks carried out at Davis: detail surveys of proposed runway sites; selection, marking and measurement of photo control points; selection of a suitable route for an

aerodrome access road; aerial photography; various survey tasks for National Mapping, the Australian Antarctic Division and the Department of Housing and Construction.

Tasks carried out at Mawson: site inspection of the proposed aerodrome at Rumdoodle; control marks at Mawson; a survey of the proposed site of the store at Mawson.

As of October 2022, Denmark's digital government maturity index was high across all dimensions. Especially notable were the index scores for the variables such as government as a platform, digital by design, and data-driven public sector. Government as a platform refers to deploying standard building blocks such as guidelines, tools, data, digital identity, and software to equip teams to advance a coherent transformation of government processes and services across the public sector. Denmark's overall digital gavernment maturity score was 0.81, out of 1.

A search for nonresonant excesses in the invariant mass spectra of electron and muon pairs is presented. The analysis is based on data from proton-proton collisions at a center-of-mass energy of 13 TeV recorded by the CMS experiment in 2016, corresponding to a total integrated luminosity of $36\,\text{fb}^{-1}$. No significant deviation from the standard model is observed. Limits are set at 95% confidence level on energy scales for two general classes of nonresonant models. For a class of fermion contact interaction models, lower limits ranging from 20 to 32 TeV are set on the characteristic compositeness scale $\Lambda$. For the Arkani-Hamed, Dimopoulos, and Dvali model of large extra dimensions, the first results in the dilepton final state at 13 TeV are reported, and values of the ultraviolet cutoff parameter $\Lambda_{\text{T}}$ below 6.9 TeV are excluded. A combination with recent CMS diphoton results improves this exclusion to $\Lambda_{\text{T}}$ below 7.7 TeV, providing the most sensitive limits to date in nonhadronic final states.

Maladaptive personality, the motivational systems, and intolerance of uncertainty play important roles in the statistical explanation of depression and anxiety. Here, we notably examined for the first time whether symptoms of depression, anxiety, health anxiety, and fear of COVID-19 share similar associations (e.g., variance explained) with these important dispositional dimensions. For this cross-sectional study, data from 1001 participants recruited in Germany (50% women; mean age = 47.26) were collected. In separate models, we examined the cross-sectional associations of the symptoms of depression, anxiety, health anxiety, and fear of COVID-19 with the Personality Inventory for DSM Short Form Plus scales, the Behavioral Inhibition System / Flight–Fight–Freeze System / Behavioral Activation System scales, and Intolerance of Uncertainty scales. Relative weight analyses were used to determine the within-model importance of the different scales in the prediction of the symptoms. All in all, our study showed that maladaptive personality and intolerance of uncertainty dimensions are more important sets of predictors of the studied outcomes (with which depressive and anxious symptomatology feature very similar associations) than are the motivational system dimensions. Within predictor sets, the scales with the most important predictors were: Negative Affectivity, the Behavioral Inhibition System, and Burden due to Intolerance of Uncertainty. Our findings highlight the relevance of focusing behavioral targets of psychotherapy on these within-set traits and identify potential research priorities (maladaptive personality and intolerance of uncertainty) in relation to the symptoms of interest.