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PIANO (Penetration and Interruption of Alpine Foehn) – flux station data set
<p>ABSTRACT</p> <p>This resource comprises meteorological and turbulence data from four flux stations operated during the PIANO (Penetration and Interruption of Alpine Foehn) field campaign. The campaign took place in and around Innsbruck, Austria, during autumn and early winter 2017. The goal of the PIANO campaign was to study south foehn events, in particular the interaction between cold air pools and foehn, the mechanisms by which foehn can break through to reach the valley floor and the processes affecting the subsequent breakdown of foehn. This dataset provides near-surface turbulence observations (including surface fluxes obtained using the eddy covariance technique), along with radiation and soil measurements, as well as meteorological information.</p> <p>DATA SET DESCRIPTION</p> <p>1. Spatial coverage and locations</p> <p>Three eddy covariance (EC) stations were operated at grassland sites during the PIANO campaign. One station (‘EC_South’) was installed in the Wipp Valley near to the village of Patsch, south of the city of Innsbruck. Two stations were installed in the Inn Valley, one to the east of Innsbruck in the region of Thaur (‘EC_East’) and one to the west of Innsbruck at Innsbruck Airport (‘EC_West’). Data from a fourth EC station at the Innsbruck Atmospheric Observatory (IAO, Karl et al. (2020)) in the centre of Innsbruck (‘EC_Centre’) was also used. Precise station co-ordinates are provided in the data files.</p> <p>Three of the stations were located on grassland surrounded by mixed agricultural fields: the two stations in the Inn Valley (EC_East, EC_West) were installed on the fairly flat valley floor, while the site in the Wipp Valley (EC_South) gently sloped downwards to the west. During the campaign the vegetation was generally short at 5-10 cm. As far as possible, sites were selected to have a clear fetch for at least a few hundred metres. All three grassland sites experienced snow cover during winter. The urban station (EC_Centre) is a long-term site installed above roof level and representative of the surrounding neighbourhood close to the city centre of Innsbruck.</p> <p>2. Temporal coverage</p> <p>The temporal coverage of the datasets for the PIANO campaign are as follows:</p> <p>• EC_West: 15 Sep 2017 - 31 Dec 2017<br> • EC_South: 08 Sep 2017 – 15 Dec 2017<br> • EC_East: 13 Oct 2017 – 15 Dec 2017<br> • EC_Centre: 1 Sep 2017 – 31 Dec 2017</p> <p>The timeseries for EC_East begins later than the other sites because electrical interference thought to be from a nearby transmitter meant there was no useable flux data for the first month. The site was relocated on 13 October 2017 (no data is included before this date). Repeated theft of the batteries at EC_East resulted in gaps for the last few days of the dataset in December 2017. Due to issues with remote data collection, data availability at EC_West is low in September 2017. The PIANO campaign took place during autumn and early winter 2017 but the EC_West station was operated for longer (until 22 May 2018 after which use of the site was no longer permitted) as it provided a useful rural comparison station for the urban measurements (Karl et al., 2020; Ward et al., submitted). Data for 1 January – 22 May 2018 are available from the first author on request. Data collection at the long-term EC_Centre/IAO site began in spring 2017 and is ongoing.</p> <p>3. Instrument details</p> <p>At EC_West a closed-path eddy covariance system (CPEC200, Campbell Scientific) provided fast response measurements of the three wind components, temperature, water vapour mixing ratio and carbon dioxide mixing ratio. At EC_East and EC_South a sonic anemometer (CSAT3B, Campbell Scientific) and krypton hygrometer (KH20, Campbell Scientific) provided fast response measurements of the three wind components, temperature and water vapour. These fast data were logged at 20 Hz (CR6, Campbell Scientific). All three stations were equipped with a four-component radiometer (CNR4, Kipp and Zonen) to provide incoming and outgoing shortwave and longwave radiation. Meteorological measurements included air temperature and humidity (Rotronic HC2A-S3, mounted in an actively ventilated radiation shield Rotronic RS12T), atmospheric pressure (Campbell CS100, mounted inside the logger box) and precipitation (ARG100 tipping bucket gauge, Campbell Scientific). Soil instruments comprised two soil heat flux plates at 0.05 m depth (HFP01, Hukseflux), two soil temperature sensors (107, Campbell Scientific) at 0.02 and 0.04 m depth and a soil probe (ACC-SEN-SDI, Acclima) providing soil moisture and soil temperature at 0.05 m depth. At each site, the fast-response anemometer and gas analyser were mounted on a tripod at around 2.5 m above ground, while the radiometer and temperature-humidity probe were slightly lower, at around 2.0 m (exact sensor heights are provided in the data files).</p> <p>At EC_Centre a closed-path eddy covariance system (CPEC200, Campbell Scientific) provided fast response measurements of the three wind components, temperature, water vapour mixing ratio and carbon dioxide mixing ratio at 10 Hz (CR3000, Campbell Scientific) measured at 42.8 m above ground level on a lattice mast installed on top of a university building. A four-component radiometer (CNR4, Kipp and Zonen) provided incoming and outgoing shortwave and longwave radiation and air temperature and humidity are also measured (Rotronic HC2A-S3, mounted in a ventilated radiation shield). Atmospheric pressure is measured by a pressure sensor mounted inside one of the electronics boxes supplied as part of the CPEC200 (EC100, Campbell Scientific). No soil or precipitation measurements were made at the urban station.</p> <p>4. Data processing</p> <p>The fast-response eddy covariance data were processed to 30-min statistics following standard procedures using EddyPro version 7.0.7 (LI-COR Biosciences, 2021). These include despiking of raw data, time-lag compensation using maximum covariance, double coordinate rotation (meaning the 30-min mean vertical wind speed is forced to zero), simple block averaging (i.e. no filtering was applied), humidity correction of sonic temperature (Schotanus et al., 1983), and spectral corrections at low frequencies (Moncrieff et al., 2004) and high frequencies (after Fratini et al. (2012) for the closed-path CPEC200 data and Moncrieff et al. (1997) for the krypton hygrometer data). Oxygen (Tanner et al., 1993; van Dijk et al., 2003) and density (Webb et al., 1980) corrections were also applied at the sites with krypton hygrometers. Automated calibration (zero and span for carbon dioxide and zero for water vapour) was performed for the CPEC instruments once per day at EC_West and twice per day at EC_Centre.</p> <p>In addition to the standard processing described above, gust speeds were calculated from the sonic data. First the instantaneous horizontal wind speed was calculated (neglecting any vertical component). A 3-s running mean of the horizontal wind speed was then obtained, and the gust speed taken as the maximum of this 3-s running mean over a 1-min averaging interval.</p> <p>The dissipation rate of turbulent kinetic energy was obtained from the fast-response measurements of the three wind components (u, v, w) as follows. First, spectra were calculated for u, v and w using evenly spaced logarithmic frequency bins. The inertial subrange was identified as the region around 1 Hz where a local linear fit to the spectral slope was within ±20% of the expected -5/3 slope. The dissipation rate was calculated for each frequency bin in the identified inertial subrange according to Kolmogorov theory (e.g. Kaimal and Finnigan, 1994), using a value of 0.55 for u and 0.73 for v and w for the Kolmogorov inertial subrange constants, and the mean value over the frequency bins was used to provide the dissipation rate for u, v, and w for each 30-min period. Further discussion can be found in Ward et al. (in prep.).</p> <p>Quality control removed data during times of power outage and instrument malfunction and data adversely affected by rainfall (all KH20 data during rainfall were removed). To exclude any potential effects of turbulence distortion, data were removed when the wind direction was within ±10° of the mounting structure. Data falling outside physically reasonable thresholds were removed, including times when the rotation angle exceeded 45°. Stationarity tests following Foken and Wichura (1996) were applied with a threshold of 100 (i.e. data were excluded when the difference between 5-min and 30-min statistics exceeded 100%).</p> <p>For the meteorological, radiation and soil data, quality control removed data during times of power outage and instrument malfunction (including when dew on the radiometer adversely affected readings).</p> <p>5. Data file structure</p> <p>Two files in netCDF format are provided containing processed and quality-controlled data:</p> <p>• PIANO_EC_MetData_QC_1min_v1-00.nc containing the meteorological, radiation and soil data for each site at 1-min resolution. This file also contains horizontal wind speed (before co-ordinate rotation), wind direction and gust speed for each site at 1-min resolution.</p> <p>• PIANO_EC_FluxData_QC_30min_v1-00.nc containing processed statistics and fluxes for each site at 30-min resolution.</p> <p>There are also quicklook plots (provided in PNG format, monthly and for the whole period) showing the data contained in these files.</p> <p>Four sets of files in ASCII format are provided containing the fast (10/20 Hz) eddy covariance data for each site for every 30-minute period. These files are timestamped with the time corresponding to the end of the period and are named:</p> <p>• PIANO_EC_FastData_SITENAME_yyyymmdd_HHMM.csv.</p> <p>These sets of files are provided as a single .zip folder for each site which is named according to the site.</p> <p>All timestamps are given in UTC (in seconds since 00:00 UTC 01 January 1970) and denote the end of the averaging period.</p> <p>The following variables can be found in the MetData file: air temperature (ta), relative humidity (rh), atmospheric pressure (pa), precipitation (prec), soil temperature (ts1, ts2, ts3), soil volumetric water content (vwc), soil heat flux from each heat flux plate (shf1, shf2), incoming shortwave radiation (swin), outgoing shortwave radiation (swout), incoming longwave radiation (lwin), outgoing longwave radiation (lwout), wind speed (wspeed, i.e. vector average horizontal wind speed before double rotation), wind direction (wdir) and gust speed (gust).</p> <p>The following variables can be found in the FluxData file: friction velocity (ustar), sensible heat flux (h), latent heat flux (le), carbon dioxide flux (fco2), stability parameter (zeta), turbulent kinetic energy (tke), wind speed (wspeed, i.e. vector average wind speed after double rotation), wind direction (wdir), unrotated vertical wind velocity (wunrot, i.e. before double rotation), the standard deviation of the wind components and temperature (sigu, sigv, sigw, sigt), and dissipation rate of turbulent kinetic energy calculated from u, v and w spectra (epu, epv, epw).</p> <p>The following variables can be found in the RawData files: unrotated lateral, longitudinal and vertical wind components (in m s-1), temperature (in degree C), water vapour concentration (supplied for EC_West and EC_Centre as the mixing ratio (in mmol m-1) and supplied for EC_South and EC_East as the absolute humidity (g m-3) and carbon dioxide mixing ratio (in μmol mol-1) for EC_West and EC_Centre. Note that the absolute value of the water vapour concentration from the krypton hygrometers should not be used. These lateral, longitudinal and vertical wind components are as measured in the co-ordinate system of the sonic anemometers and the angle of installation of the sonic needed to convert to north-south east-west co-ordinates is given in the FluxData file.</p> <p>6. Publications</p> <p>Data from these flux stations have been included in multiple publications as part of the PIANO project (Haid et al., 2020; Haid et al., 2021; Muschinski et al., 2021; Umek et al., 2021; Umek et al., submitted) as well as publications as part of a related study on turbulent exchange in complex environments (Ward et al., in prep.; Ward et al., submitted).</p> <p>7. Contact</p> <p>Contact helen.ward(at)uibk.ac.at for any questions regarding the data set.</p> <p>8. Acknowledgements</p> <p>The PIANO campaign was supported by the Austrian Science Fund (FWF) and the Weiss Science Foundation under Grant P29746-N32. Collection of this dataset was also supported by an FWF Lise Meitner project (M2244-N32) and a research stipend from Innsbruck University. Measurements at IAO are supported by the Bundesministerium für Wissenschaft, Forschung und Wirtschaft (Hochschulraum-Strukturmittel grant), the European Commission for funding ALP-AIR within FP7-PEOPLE and the FWF (P30600_NBL, P33701-N). The PIANO campaign was also supported by KIT IMK-IFU, Austro Control GmbH, Zentralanstalt für Meteorologie und Geodynamik (ZAMG), the Hydrographic Service of Tyrol, Innsbrucker Kommunalbetriebe AG (IKB), Bergisel Betriebsgesellschaft m.b.H., Innsbrucker Nordkettenbahnen Betriebs GmbH, T-Mobile Austria GmbH, Unser Lagerhaus Warenhandelsgesellschaft, PEMA Immobilien GmbH, HTL Anichstraße, Hilton Innsbruck, TINETZ-Tiroler Netze GmbH, Land Tirol, and the communities Patsch and Völs.</p> <p>9. References</p> <p>Foken T, Wichura B (1996) Tools for quality assessment of surface-based flux measurements. Agric. For. Meteorol. 78: 83-105 doi: 10.1016/0168-1923(95)02248-1</p> <p>Fratini G, Ibrom A, Arriga N, Burba G, Papale D (2012) Relative humidity effects on water vapour fluxes measured with closed-path eddy-covariance systems with short sampling lines. Agric. For. Meteorol. 165: 53-63 doi: 10.1016/j.agrformet.2012.05.018</p> <p>Haid M, Gohm A, Umek L, Ward HC, Muschinski T, Lehner L, Rotach MW (2020) Foehn–cold pool interactions in the Inn Valley during PIANO IOP2. Q. J. R. Meteorol. Soc. 146: 1232-1263 doi: 10.1002/qj.3735</p> <p>Haid M, Gohm A, Umek L, Ward HC, Rotach MW (2021) Cold-air pool processes in the Inn Valley during foehn: A comparison of four cases during PIANO. Boundary Layer Meteorology doi: 10.1007/s10546-021-00663-9</p> <p>Kaimal JC, Finnigan JJ (1994) Atmospheric Boundary Layer Flows: Their structure and management. Oxford University Press, 289 pp.</p> <p>Karl T et al. (2020) Studying urban climate and air quality in the Alps - The Innsbruck Atmospheric Observatory. Bull. Amer. Meteorol. Soc. doi: 10.1175/BAMS-D-19-0270.1</p> <p>LI-COR Biosciences (2021) Eddy Covariance Processing Software - version 7.0.7, Available at www.licor.com/EddyPro.</p> <p>Moncrieff JB, Clement R, Finnigan JJ, Meyers T (2004) Averaging, detrending and filtering of eddy covariance time series. In: X Lee,</p> <p>Massman WJ and Law BE (Editors), Handbook of Micrometeorology: a guide for surface flux measurements.</p> <p>Moncrieff JB et al. (1997) A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide. Journal of Hydrology 188-199: 589-611</p> <p>Muschinski T, Gohm A, Haid M, Umek L, Ward HC (2021) Spatial heterogeneity of the Inn Valley Cold Air Pool during south foehn: Observations from an array of temperature. Meteorol. Z. 30: 153-168 doi: 10.1127/metz/2020/1043</p> <p>Schotanus P, Nieuwstadt FTM, Bruin HAR (1983) Temperature measurement with a sonic anemometer and its application to heat and moisture fluxes. Bound.-Layer Meteor. 26: 81-93 doi: 10.1007/bf00164332</p> <p>Tanner B, Swiatek E, Greene J (1993) Density fluctuations and use of the krypton hygrometer in surface flux measurements. Management of irrigation and drainage systems: integrated perspectives. American Society of Civil Engineers, New York, NY: 945-952</p> <p>Umek L, Gohm A, Haid M, Ward HC, Rotach MW (2021) Large eddy simulation of foehn-cold pool interactions in the Inn Valley during PIANO IOP2. Quart J Roy Meteorol Soc 147: 944-982 doi: 10.1002/qj.3954</p> <p>Umek L, Gohm A, Haid M, Ward HC, Rotach MW (submitted) Influence of grid resolution of large-eddy simulations on foehn-cold pool interaction. Quart J Roy Meteorol Soc</p> <p>van Dijk A, Kohsiek W, de Bruin HAR (2003) Oxygen Sensitivity of Krypton and Lyman-α Hygrometers. J. Atmos. Ocean. Technol. 20: 143-151 doi: 10.1175/1520-0426(2003)020<0143:osokal>2.0.co;2</p> <p>Ward HC, Rotach MW, Gohm A, Graus M, Karl T, Haid M, Umek L, Muschinski T (submitted) Energy and mass exchange at an urban site in mountainous terrain – the Alpine city of Innsbruck. Atmos. Chem. Phys.</p> <p>Ward HC, Rotach MW, Graus M, Karl T, Gohm A, Umek L, Haid M (in prep.) Turbulence characteristics at an urban site in highly complex terrain.</p> <p>Webb EK, Pearman GI, Leuning R (1980) Correction of flux measurements for density effects due to heat and water-vapor transfer. Q. J. R. Meteorol. Soc. 106: 85-100</p> <p></p> <p></p>
Datasets used in the study "Trends in medication use after the onset of the COVID-19 pandemic in the Republic of Ireland: an interrupted time series study"
<p>This record contains datasets analysed as part of the study "Trends in medication use after the onset of the COVID-19 pandemic in the Republic of Ireland: an interrupted time series study".</p> <p>Two datasets were used, one relating to therapeutic subgroups defined by ATC codes (atc_wide_freq_avg.csv) and one relating to individual medications (drugs_wide_freq_avg.csv). Datasets were collated by combining monthly data reported by HSE Primary Care Reimbursement Services in Ireland relating to dispensing on the General Medical Services scheme at https://www.sspcrs.ie/portal/annual-reporting/</p> <p>Code used to collate datasets and for data management is included in Stata format (compile_data_export_for_analysis_final.do).</p> <p>The study protocol is available at https://doi.org/10.17605/OSF.IO/B4RTM</p>
Fig. 3. Representative samples from initial experiment interrupted and lef untended for 17 d in Greenhouse evaluation of neonate and adult applications of Coleomegilla maculata (Coleoptera: Coccinellidae) to control twospotted spider mite infestations
Fig. 3. Representative samples from initial experiment interrupted and lef untended for 17 d. Plants treated with lady beetles recovered from extreme stress; infested and untreated plants could not grow new leaves (no recovery).
Interruption Audio & Transcript: Derived from Group Affect and Performance Dataset
<p><strong>Licensing</strong></p> <p>This dataset is adapted from the Group Affect and Performance dataset which is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. <a href="https://creativecommons.org/licenses/by-nc/4.0/">https://creativecommons.org/licenses/by-nc/4.0/</a></p> <p> </p> <p><strong>Description</strong></p> <p>This dataset contains the audio files containing manually annotated cases of overlapped utterances, classified into True Interruptions and False Interruptions. It is derived from the <a href="https://github.com/gmfraser/gap-corpus/tree/master">Group Affect and Performance</a> dataset created by the University of the Fraser Valley, Canada. Original conversation transcripts and audio files have been supplied for context. The Group Affect and Performance dataset provides a rich source of interruptions and overlapped utterances in general, yielding 200 True Interruptions from 355 instances of overlapped utterances in the 14 Group meetings which were annotated.</p> <p> </p> <p><strong>Structure</strong></p> <p>This dataset is structured into three parts:</p> <p>1. data.json contains a list of all instances of overlapped utterances, classified into ‘interruption’ and ‘non-interruption’ corresponding to True and False Interruptions respectively. Each instance is uniquely identified by the Group in which it occurred, the speaker and the starting time of the utterance.</p> <p>2. The 'audio' directory contains the audio of each instance of overlapped utterances corresponding to those found in data.json. The naming convention of the files is as such: ‘Group [group number]: [utterance start time] - [utterance end time].wav’.</p> <p>3. Also included is a copy of the original dataset which includes the full audio and transcript. This allows the full meeting to be heard and any context for interruptions to be evaluated.</p> <p>Note that directories 2. and 3. can be accessed by unzipping audio-and-transcripts.zip.</p> <p> </p> <p><strong>Data Collection Protocol</strong></p> <p>Of paramount importance to our process are the definitions of an overlapped utterance and a True Interruption. A False Interruption is simply an overlapped utterance which is not a True Interruption. These definitions directly impact the dataset; for overlapped utterance it informs which data points are included in our dataset and for True Interruption it informs the classes assigned to each sample.</p> <p>In defining an overlapped utterance, our primary aim is to create an overarching class encompassing interruptions and all instances that could be deemed a True Interruption. For this reason, we omit cases where the timing misplaced speech and early-onset responses.</p> <p>An overlapped utterance is defined as an instance where one interlocutor provides speech or noise during another interlocutor’s speech, creating an overlap that may be deemed a possible interruption when considering its timing alone. For this reason we omit cases of where the timing indicates misplaced speech or early-onset responses.</p> <p>Our definition of True Interruption is an instance where an interrupting party intentionally attempts to take over a turn of the conversation from an interruptee and, in doing so, creates an overlap in speech.</p> <p>As previously mentioned, due to the ‘intent’ part of this definition, we avoid cases of misplaced speech and early-onset responses. The former is enforced by not considering cases of overlapped speech which begin within 300ms of each other since this is an estimate for the average human reaction time of articulating a vowel in response to a speech stimuli. The latter is enforced by not considering speech starting within the last 10% of first utterance in the overlapped speech. Note that this approach fails to filter out all cases of misplaced speech, so we manually remove the remaining instances.</p> <p> </p> <p><strong>Methodology</strong></p> <p>Three main steps were taken to produce this dataset:</p> <p>1. Parsing the transcripts for cases of overlapping speech</p> <p>2. Manually annotating these cases per our protocol and adding them to data.json</p> <p>3. Extracting audio samples from data.json and adding them to the audio folder</p> <p> </p> <p>If you use this dataset, please cite the following paper:</p> <p> </p> <p>Doyle, D.; Şerban, O. Interruption Audio & Transcript: Derived from Group Affect and Performance Dataset. <em>Data</em> <strong>2024</strong>, <em>9</em>, 104. https://doi.org/10.3390/data9090104</p> <p> </p> <p>@article{data9090104,</p> <p>AUTHOR = {Doyle, Daniel and Şerban, Ovidiu},</p> <p>TITLE = {Interruption Audio & Transcript: Derived from Group Affect and Performance Dataset},</p> <p>JOURNAL = {Data},</p> <p>VOLUME = {9},</p> <p>YEAR = {2024},</p> <p>NUMBER = {9},</p> <p>ARTICLE-NUMBER = {104},</p> <p>URL = {https://www.mdpi.com/2306-5729/9/9/104},</p> <p>ISSN = {2306-5729},</p> <p>DOI = {10.3390/data9090104}</p> <p>}</p>
Extension Study to Assess Effects of Non-interrupted Versus Interrupted and Long Term Treatment of Two Dose Regimes of Secukinumab in Subjects With Hidradenitis Suppurativa
ClinicalTrials.gov study NCT04179175. IPD Sharing: YES. Countries: 38. Publications: 1.
Copulation interruption decreases female reproductive success in a false widow spider
Open the record for dataset details and reuse information.
Data from: Evaluation of a pharmacist-led actionable audit and feedback intervention for improving medication safety in primary care: an interrupted time series analysis
<p><strong>Background</strong>. We evaluated the impact of a pharmacist-led Safety Medication dASHboard (SMASH) intervention on medication safety in primary care.<br> <strong>Methods and findings</strong>. SMASH comprised: (1) training of clinical pharmacists to deliver the intervention; (2) a web-based dashboard providing actionable, patient-level feedback; and (3) pharmacists reviewing individual at-risk patients, and initiating remedial actions or advising general practitioners on doing so. It was implemented in forty-three general practices covering a population of 235,595 people in Salford (Greater Manchester), UK. All practices started receiving the intervention between 18 April 2016 and 26 September 2017. We used an interrupted time series analysis of rates of potentially hazardous prescribing and inadequate blood-test monitoring, comparing observed rates post-intervention to extrapolations from a 24-month pre-intervention trend. The number of people registered to participating practices and having one or more risk factors for being exposed to hazardous prescribing or inadequate blood-test monitoring at the start of the intervention was 47,413 (males: 23,073 [48.7%]; mean age: 60 [standard deviation: 21]). At baseline, 95% of practices had rates of potentially hazardous prescribing (composite of 10 indicators) between 0.88% and 6.19%. The prevalence of potentially hazardous prescribing reduced by 27.9% (95% confidence interval [CI], 20.3% to 36.8%) at 24 weeks and by 40.7% (95% CI, 29.1% to 54.2%) at twelve months after introduction of SMASH. The rate of inadequate blood-test monitoring (composite of 2 indicators) reduced by 22.0% (95% CI, 0.2% to 50.7%) at 24 weeks and by 23.5% (95% CI, -4.5% to 61.6%) at 12 months. After 12 months, 95% of practices had rates of potentially hazardous prescribing between 0.74% and 3.02%. We did not randomise practices but enrolled them in a naturalistic fashion. All our measurements were based on routinely kept electronic health records.<br> <strong>Conclusions</strong>. The SMASH intervention was associated with reduced rates of potentially hazardous prescribing and inadequate blood-test monitoring in general practices. This reduction was sustained over 12 months after start of the intervention for prescribing but not for monitoring of medication. There was a marked reduction in the variation in rates of high-risk prescribing between practices.</p>
Circle Interrupted
Moscow School of Management, Adjaye Associates, 2010 Bibliotheca Alexandrina, Snøhetta, 2001 Source: Objaverse 1.0 / Sketchfab
Cognitive Annoyance by Task Interruptions
<p>This data set corresponds to the analyses carried out in the following article: Bostan, I., Özcan, E., Gommers, D., & van Egmond, R. (2025). Annoyance by Task Interruptions in Healthcare Workflows: Underlying Cognitive Mechanisms. <em>Cognition, Technology, and Work</em>.</p> <div> </div> <p> </p>
SuperTall Interrupted
Hearst Tower, Norman Foster, 2006 Porta Fira, Tower, Toyo ito, 2010 Shenzhen Stock Exchange, Rem Koolhaas, 2013 Source: Objaverse 1.0 / Sketchfab
Postcolonial Interruptions, Unauthorised Modernities
<p>Postcolonial Interruptions, Unauthorised Modernities is a ground-breaking work that revaluates the cultural and political understandings of the world today from the perspective of the south. Largely located in the Mediterranean, and in understandings of a ‘southern question’ that extends beyond local and national confines, the arguments and perspectives proposed seek to explore the historical formation and political configurations of a multiple modernity. <br> <br> Drawing upon the interdisciplinary lines of thought developed within cultural and postcolonial studies, the work develops a concept of heritage beyond the concerns and obsessions of the Anglo-American world. It offers a counter-hegemony construction of the figure of the migrant and ‘other’ as a disruptive force in the construction of the idea of the West. It proposes a rethinking of the geo-political economies of knowledge and power, lived and viewed from elsewhere. This accessibility written book should be of interest to anyone interested in the construction of modernity and the future of postcolonial studies.</p>
Microdata on vector abundance and IRS quality assurance (Estimating the impact of indoor residual spraying on sandfly abundance and incidence of visceral leishmaniasis in India from 2016 to 2022: an interrupted time-series analysis and modelling study)
<p>This repository contains the microdata on vector abundance and quality assurance of indoor residual spraying (IRS) that was used to estimate the impact of IRS on sandfly abundance and incidence of visceral leishmaniasis (VL) in India, as described in the paper "Estimating the impact of indoor residual spraying on sandfly abundance and incidence of visceral leishmaniasis in India from 2016 to 2022: an interrupted time-series analysis and modelling study" by Coffeng et al (<a href="https://doi.org/10.1016/S1473-3099(24)00420-1">https://doi.org/10.1016/S1473-3099(24)00420-1</a>). These data were collected as part of a BMGF-funded project led by dr. Michael Coleman at the Liverpool School for Tropical Medicine, as described in an earlier paper by Deb et al (<a href="https://doi.org/10.1371/journal.pntd.0009101">https://doi.org/10.1371/journal.pntd.0009101</a>).</p> <p>This repository does not include microdata on VL cases as these are owned by India's National Center for Vector Borne Disease Control (NCVBDC, <a href="https://ncvbdc.mohfw.gov.in/" target="_blank" rel="nofollow noreferrer noopener">https://ncvbdc.mohfw.gov.in/</a>).</p>
Developmental heat stress interrupts spermatogenesis inducing early male sterility in Drosophila melanogaster
<p><span>Thermal stress leads to fertility reduction, can cause temporal sterility and thus results in fitness loss with severe ecological and evolutionary consequences, e.g., threatening species persistence already at sub-lethal temperatures. For males we here tested which developmental stage is particularly sensitive to heat stress in the model species <em>Drosophila</em> <em>melanogaster</em>. As developmental stages characterize the different steps of sperm development, we could narrow down which particular processes are heat sensitive. We studied early male reproductive ability and, by following recovery dynamics after a move to benign temperatures, we investigated the mechanisms behind a subsequent gain of fertility. We found strong support to suggest that the last steps of spermatogenesis are particularly sensitive to heat stress, as processes occurring during the pupal stage were mostly interrupted, delaying both sperm production and sperm maturation. Moreover, further measurements in the testes and for proxies of sperm availability indicating the onset of adult reproductive capacity matched the expected heat-induced delay in completing spermatogenesis. We discuss these results within the context of how heat stress affects reproductive organ function and the consequences for male reproductive potential.</span></p>
Data from: How can we tackle interruptions to human-wildlife feeding management? Adding media campaigns to the wildlife manager's toolbox
<p>In recent years, wildlife managers have been seeking ways to reduce the occurrence of independent, recreational human-wildlife feeding interactions, which continue to gain global popularity and may have negative effects on the humans and wildlife involved. Current popular methods, such as signage and posters, have yielded mixed results and their application is often interrupted, though the effects of these interruptions on feeding levels are currently unknown. This has led to calls to both identify a management option that can be applied successfully from a distance and to determine whether this action may assist in recovering long-term programmes from the potential effects of interruptions. Marketing and media tools have been shown to successfully change human behaviours in conservation campaigns, flagging them as a potential tool that could be applied to human-wildlife feeding management. </p> <p>Here, we performed a 4-year study using a wild fallow deer population in a popular urban green space as our model system. We tracked changes in human feeding behaviours across four different management stages. These included pre-management (stage 1), during traditional management (i.e. "don't feed the deer" signage, stage 2), mid-interruption (i.e. COVID-19 pandemic, stage 3), and during the application of a structured media campaign (stage 4). </p> <p>We found that feeding by visitors decreased during traditional management (stage 2), but rapidly returned to pre-management levels during the interruption (stage 3) despite traditional controls still being in place. However, we discovered that feeding dropped significantly after the release of a media campaign (stage 4), despite the audience and conditions being unchanged. We also identified which imagery and educational messages resonated with viewers; information that can be applied to future campaigns in other locations.</p> <p>We, therefore, recommend that wildlife managers both investigate and be prepared for the negative effects that interruptions of any type (e.g. the recent COVID-19 pandemic, other interruptions to funding) may have on ongoing management campaigns of this ilk. We recommend that media campaigns be explored as a potential tool to reduce the occurrence of the unregulated feeding of wildlife by humans in these sites, thereby promoting better human-wildlife coexistence. </p>
Sitting Interruption and Whole-body Cardiovascular Health
ClinicalTrials.gov study NCT05316571. IPD Sharing: YES. Countries: 1. Publications: 1.
Apixaban Evaluation of Interrupted Or Uninterrupted Anticoagulation for Ablation of Atrial Fibrillation
ClinicalTrials.gov study NCT02608099. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Combination Vaccination Before HIV Treatment Interruption
ClinicalTrials.gov study NCT00212888. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Treatment Interruption of Natalizumab
ClinicalTrials.gov study NCT01071083. IPD Sharing: Not stated. Countries: 3. Publications: 2.
To Examine the Effects of Axitinib Dose Reduction and Interruption for Adverse Event Management Among Patients Receiving Axitinib in for the Treatment of Advanced Renal Cell Carcinoma
ClinicalTrials.gov study NCT04682587. IPD Sharing: NO. Countries: 1. Publications: 1.
Analytical Treatment Interruption in HIV Positive Patients
ClinicalTrials.gov study NCT02590354. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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