cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20383/102.0448
title: SuperDARN 2014 RAWACF

description: SuperDARN RAWACF files for the calendar year 2014. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/102.0453
title: SuperDARN 2009 RAWACF

description: SuperDARN DAT files for the calendar year 2009. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.3886/e104642v4
title: 2016 Annual Survey of Refugees

description: Since the 1980s, the Office of Refugee Resettlement[1] (ORR) has conducted the Annual Survey of Refugees (ASR), which collects information on refugees during their first five years after arrival in the U.S. The ASR is the only scientifically-collected source of national data on refugees’ progress toward self-sufficiency and integration. ORR uses the ASR results alongside other information sources to fulfill its Congressionally-mandated reporting following the Refugee Act of 1980. Historically, the microdata from these surveys have generally been unavailable to researchers. <br> <br>In the Spring of 2017 ORR completed its 50th Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and shows the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2016 ASR with future years likely to be added to the ICPSR archive.. <br> [1] The Office of Refugee Resettlement (ORR) at the Administration for Children and Families in the U.S. Department of Health and Human Services (HHS) serves refugees and other humanitarian entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa holders, Amerasians, victims of human trafficking, and unaccompanied children. By providing these arrived populations with critical resources, ORR promotes their economic and social well-being. The Annual Survey of Refugees focuses solely on those refugees who have come to the U.S. in the past five fiscal years.
description: Household- and person-level analytic weights were developed for the 2016 ASR to allow for valid statistical estimates of the target refugee population. Both sets of weights are comprised of two components – a base weight reflecting the selection probability and an adjustment that corrects for differential nonresponse and aligns the population to known totals from the sampling frame (RADS universe file).
description: Response Rates: An overall response rate of 24 percent was achieved. The response rate was driven by the ability to locate and speak to (1500+468)/6176 = 32 percent of the sample, meaning that two thirds of the sample could either not be located, or (if located) could not be successfully contacted. The overall response rates decreased with time since arrival to the U.S., varying from 20 percent for FY 2011-2012 refugees to 25 percent for FY 2013-2014 refugees and a high of 31 percent for FY 2015 refugees.
description: telephone interview~~
description: Refugees aged 16 years old or over at the time of interview who arrived in the U.S. during FY 2011-2015 Smallest Geographic Unit: Census region originally resettled in and the country of birth
description: The 2016 ASR employed a stratified probability sample design of refugees. The first stage of selection was the household (PA), and the second stage was the selection of persons within households.
DOI: 10.5066/p9ehxioy
title: Exceedance Probability and Predictor Data for Uranium and Radon concentrations in New Hampshire Groundwater

description: Statewide maps of the probability of exceeding a given concentration of either uranium (U) or radon (Rn) in New Hampshire groundwater (represented as statewide rasters) are the product of statistical analyses and are available here. The dependent variables in these statistical models were either 1) the natural log of Rn concentrations or 2) a dichotomous variable indicating the exceedance of 1 microgram per liter U in groundwater samples. In the case of U, a dichotomous variable was used because of the large number of measured samples below the detection limit. A boosted Regression Tree (BRT) model was selected for the U analysis with an exceedance probability of 1 ug/L because that was near the center of observed measured concentrations. Ordinary Least Squares was selected for the Rn analysis, which permitted predictions for multiple exceedance values (300, 2000, and 4000 ug/L selected) from a single model. Raster datasets included in this data release are: 1) rasters of input predictor variables for the state of New Hampshire at 30-m resolution. - Each 30-meter cell has a unique cell value (GRID_CODE) and the associated attributes used as predictors. One set of 3 rasters (north, central, and south) is used for Rn exceedance probability calculations and the other set of 3 rasters were used for U exceedance probability calculations; 2) output rasters of the probabilities of exceeding 200, 2000, and 4,000 pCi/L for radon and 1 microgram per liter for uranium, at 30-m resolution. - These exceedance probability rasters are presented in integer format to store the data more efficiently. For this reason, the value of each cell must be divided by 100,000 to obtain the actual exceedance probability (a number that can range from 0 to 1).
DOI: 10.5281/zenodo.3564818
title: Global fire size, number and distribution

description: These are the fire size, number and size distribution as extracted from global MODIS burnt area data produced as described in Hantson et al. (2015; https://doi.org/10.1111/geb.12246). Mean fire size (ha), number of fires (nr. /yr.) and fire size distribution (-beta) are provided at 1deg. resolution. The raw data and processed data at other resolutions can be provided by contacting the author.
DOI: 10.5281/zenodo.7140274
title: X-ray observations of black hole binary Cyg X-1 with INTEGRAL

description: This data set contains the extracted energy spectrum, corresponding response matrix, and light curve fits files obtained with the INTEGRAL Soft Gamma-Ray Imager (ISGRI, 30–80 keV) instrument aboard the INTErnational Gamma-Ray Astrophysics Laboratory (INTEGRAL) space telescope. The data were collected over three observing periods during the week 2022 May 15-20.
DOI: 10.6084/m9.figshare.20291619
title: Supplementary Material for: Heterogeneity in estimates of incidence and prevalence of narcolepsy: a systematic review and meta-regression analysis

description: Introduction: Narcolepsy is a chronic neurological disorder. The diagnostic criteria of narcolepsy evolve from clinical symptoms to molecular biomarkers, along with the understanding of its clinical nature and pathogenesis. Estimates of incidence and prevalence of narcolepsy vary between studies, while the contribution of changing diagnostic criteria to the variation remains unclear. We aimed to explore sources of heterogeneity in estimates of incidence and prevalence, with a particular focus on diagnostic criteria. Methods: We searched 5 databases for observational studies on the incidence or prevalence of narcolepsy published before October 14, 2021. Subgroup analyses and meta-regression were used to assess the impact of diagnostic criteria on incidence/prevalence of narcolepsy after adjusting for age group, region, study period, vaccination status, index date, and type of narcolepsy. Results: 35 studies were selected from 2,833 articles. The estimates of incidence and prevalence were wide-ranging with high heterogeneity (incidence I2 = 99.8%; prevalence I2 = 99.7%), from 0.06–6.56 per 100,000 person-years for incidence and 1.05–79.40 per 100,000 population for prevalence, respectively. Totally 10 diagnostic criteria were used, including the 1st revised edition of International Classification of Diseases (ICSD-1), ICSD-2, ICSD-3, the 8th revision of International Classification of Diseases (ICD-8), ICD-9, ICD-10, Brighton collaboration case definition (Brighton), Mayo classification, the Ullanlinna Narcolepsy Scale, and clinical symptoms with the multiple sleep latency test. ICD tended to provide higher estimates of incidence/prevalence than Brighton (incidence odds ratio [OR] 1.38, [95% CI 1.02, 1.86]; prevalence OR 1.50, [95% CI 1.04, 2.39]). No significant difference was found in estimates of two rates between ICSD and Brighton. Incidence was higher for children than adults (OR 1.61, [95% CI 1.25, 2.07]), and for individuals vaccinated with Pandemrix than those unvaccinated (OR 6.49, [95% CI 3.86, 10.91]). Conclusions: Estimates of incidence/prevalence of narcolepsy could not be pooled reliably with substantial heterogeneity. Incidence/prevalence studies using ICSD and Brighton provided lower estimates than studies using ICD and other criteria. Diagnostic criteria should be standardized when comparing or pooling the incidence/prevalence to understand the epidemiology of narcolepsy. Future studies are needed to focus on the at-risk population for the etiology investigation of narcolepsy.
DOI: 10.6084/m9.figshare.20300727
title: Supplementary Material for: Cinnamon Infusion Reduces Satiety and Increases Energy Intake: A Randomized Crossover Trial

description: Background/Aims: This study aimed to evaluate the effects of the intake of a single dose of cinnamon infusion on energy metabolism, appetite responses and food intake in healthy individuals. Methods: This was an open randomized crossover clinical trial, with a minimum washout of seven days, which was conducted in which two standardized breakfasts were served randomly: one with cinnamon infusion (2g, Cinnamomum sp.) And one with water (control). The study included 21 healthy volunteers. Energy expenditure (EE), diet-induced thermogenesis (DIT), respiratory quotient (RQ), substrate oxidation and appetite responses were evaluated, as well as prospective food intake. Results: Ingestion of cinnamon infusion did not alter EE, DIT, RQ or substrate oxidation. The incremental area under the curve for hunger, satiety and desire to eat did not differ between the treatment with cinnamon infusion and water, however, there was a reduction in the feeling of satiety (p=0.021) compared to the control treatment. The energy consumption of the first meal after treatment was higher (p=0.05) in the treatment with cinnamon infusion than in the control treatment. Regarding macronutrients or food intake throughout the day, there was no difference between treatments. Conclusions: Although it did not affect energy metabolism, consuming a single dose of cinnamon infusion promoted less feeling of satiety and increased energy intake in the first meal after treatment. The study protocol was registered at the Brazilian Clinical Trials Registry Platform (RBR-5ftg3z).
DOI: 10.17632/ysfdstw8z6.1
title: Interviews

description: Interviews with teachers about their experience with STEm professional development in Palestine.
DOI: 10.5281/zenodo.7108247
title: Optical polarimetric observations of black hole binary Cyg X-1 with DIPol-2

description: The dataset contains raw polarimetric FITS images of black hole X-ray binary Cyg X-1 (and surrounding field), obtained with the DIPol-2 optical CCD polarimeter in three (<em>BVR</em>) filters while mounted on the remotely operated Tohoku 60 cm (T60) telescope at the Haleakala Observatory, Hawaii. The data were collected over 5 observing nights during the week 2022 May 15–21 for about 4 hours each night. During each observing night, a set of calibration images were also obtained. These typically include 7 dark and 7 bias images per filter per night. Bias and dark FITS files have `bias` or `dark` labels in their names.
DOI: 10.6084/m9.figshare.20238042
title: Supplementary Material for: Trends In Stroke Burden In Central And Eastern Europe 1990-2019

description: Introduction: During the last decades there has been wide recognition of the health divide between Western Europe and the former socialist countries from Central and Eastern Europe. However, these have not been assessed in terms of burden of disease and the effect of stroke has not been fully elucidated, especially in terms of time trends. Methods: The West-Eastern European stroke burden was analysed using data from the Global Burden of Stroke (GBD) Study 2019 in terms of disability-adjusted life-years lost (DALYs) and years of life lost (YLL) over the period 1990 - 2019 by gender. Data were extracted on regional (West, Central and East Europe) and country level for the twenty former socialist countries from Central and East Europe according to GBD regional definitions. We focused on the trends of age-standardised stroke burden rates across the three decades and compared them with the average rates for West Europe. Main Findings: All Central and East European countries experienced a decline in all-cause disease burden between 1990 - 2019 and a gap was confirmed between the East, the Central and the West European region for men, but not for women. The age-standardised stroke rates declined in the three European regions and in all twenty Central and East European countries but at a different pace. The stroke burden among women exhibited the greatest decline in the West -59% [95% UI (-60; -57)] followed by the Central European region -48% [95% UI (-53; -42)] and lowest among women in East Europe -37% [95% UI (-43; -29)]. The decline of stroke burden among Western men was even higher than among women -61% [95% UI (-63; -60)], while in Central Europe it was -43% [95% UI (-50; -37)] and in the East -25% [95% UI (-34; -14)], leading to widening of the gap between East, Central and West Europe in relation to stroke burden. Conclusions: The burden of stroke contributes to the European health gap through preventable premature stroke deaths. There are some very successful countries in stroke burden management from both Central (Slovenia, Czech Republic, Hungary) and East Europe (Estonia), suggesting that closing the health gap between East and West is a realistic aim.
DOI: 10.1285/i20356609v10i2p381
title: Depoliticizing Public Action by Politicizing Issues, Practices and Actors. The Role of Resilience Thinking in a Program of the Cariplo Foundation

description: We are apparently living in an age of "hyperdepoliticisation". But what is meant today by de-politicization and how does this phenomenon impact upon the forms taken by political functions in con-temporary complex societies? The aim of this article is that of answering these questions through a re-search-based analysis of the specific role played in depoliticization processes by the use of the concept of resilience and resilience thinking, analyzing the "Resilient Communities" (Comunità Resilienti) program of the Cariplo Foundation. We argue that an intertwined and complementary movement between the depo-liticization of public action and politicization of collective action carried out by non-political actors exists, which does not extirpate the political from social processes, but alters its qualities, characteristics and borders. Such dual movement is composed of pro-active and reactive forms of both depoliticization and politicization, which are defined and investigated in the article, putting empirical evidence against the background of theoretical discussion.
DOI: 10.5255/ukda-sn-854235
title: Maritime trade projections under four climate related socio-economic development scenarios 2013-2017
DOI: 10.5281/zenodo.5119958
title: High-resolution BIOCLIM and ENVIREM grids for Europe in consecutive 100-year bins spanning the last 21,000 years

description: Here, I provide a dataset of gridded climatic variables at a spatial resolution of 30 arc-seconds for 210 consecutive 100-year bins spanning the period from 21,000 to 0 BP. The dataset includes 19 bioclimatic and 16 ENVIREM variables (described by Title & Bemmels, 2018) commonly used in species distribution modelling. It covers the European continent and adjacent regions within the following boundaries: 32.5°W–70°E and 32.5°N–82.5°N. For each 100-year bin, bioclimatic and ENVIREM variables were calculated based on the downscaled and debiased monthly temperature and precipitation simulations of the Community Climate System Model version 3 (CCSM3; Collins et al., 2006) as provided by the PaleoView software (Fordham et al., 2017). The downscaling procedure was based on the delta-change method (Ramirez Villejas & Jarvis, 2010). As a baseline climatic data, I used monthly temperature and precipitation grids from the CHELSA database for 1940–1989 (Karger et al., 2017). A detailed description of the dataset, including the downscaling method applied, can be found in the Technical specification attached to this dataset.
description: {"references": ["Collins, W. D., Bitz, C. M., Blackmon, M. L., Bonan, G. B., Bretherton, C. S., Carton, J. A., Chang, P., Doney, S. C., Hack, J. J., Henderson, T. B., Kiehl, J. T., Large, W. G., McKenna, D. S., Santer, B. D., & Smith, R. D. (2006). The Community Climate System Model Version 3 (CCSM3). Journal of Climate, 19(11), 2122\u20132143. https://doi.org/10.1175/JCLI3761.1", "Fordham, D. A., Saltr\u00e9, F., Haythorne, S., Wigley, T. M. L., Otto\u2010Bliesner, B. L., Chan, K. C., & Brook, B. W. (2017). PaleoView: A tool for generating continuous climate projections spanning the last 21 000 years at regional and global scales. Ecography, 40(11), 1348\u20131358. https://doi.org/10.1111/ecog.03031", "Karger, D. N., Conrad, O., B\u00f6hner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122", "Ramirez Villejas, J., & Jarvis, A. (2010). Downscaling global circulation model outputs: The delta method. Decision and Policy Analysis Working Paper No. 1. International Center for Tropical Agriculture (CIAT). Cali. CO.", "Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography, 41(2), 291\u2013307. https://doi.org/10.1111/ecog.02880"]}
DOI: 10.15151/esrf-es-925345214
title: Cryo-electron microscopy EPN BAG

description: At the EPN campus level structural biology work is carried out in all the 4 institutes (IBS, ESRF, ILL and EMBL). Today all structural biology groups are turning to cryo-EM. The EM demand is therefore extremely high and present in the 4 Institutes. In a nutshell, there are more than 45 PIs that could benefit from Krios time on the EPN campus (more than 90 different samples). Around 20 % of the sample are ready for high resolution data collection with already prepared grids that have been pre-screened on Glacios microscopes. Whereas some work could be carried out on Glacios microscopes, for difficult samples the use of a krios is indispensable (heterogeneous sample or limited concentration requiring a large number of images; small protein etc). Only these samples will be selected for Krios time at the BAG level