Find research datasets worth reusing

opencc-zeroSep 2023View details →

BEHAV3D: A 3D live imaging platform for comprehensive analysis of engineered T cell behavior and tumor response

The use of patient-derived material and immune cell co-cultures in modeling immune-oncology has gained significant interest for understanding and manipulating immune cell tumor targeting in a patient-specific context. However, current protocols have limitations in visualizing and analyzing the dynamic cellular features of these living culture systems. We recently developped a workflow names BEHAV3D, that combines multi-color live 3D imaging and computational tools to analyze cell death dynamics, classify T cell behavior, and generate data-informed 3D images and videos. Here we provide some example pre-processed dataset of videos of two co-culture set ups: breast cancer Patient Derived Organoids with αβ T cells engineered to express a γδ TCR (TEGs) and Acute Lymphoblastic Leukemia cells with CD19 CART cells.

opencc-zeroApr 2024View details →

Maternal investment and early thermal conditions affect performance and antipredator responses

Exposure to increased temperatures during early development can lead to phenotypic plasticity in morphology, physiology, and behaviour across a range of ectothermic animals. In addition, maternal effects are known to be important contributors to phenotypic variation in offspring. Whether the two factors interact to shape offspring morphology and behaviour has been barely explored. This is critical since climate change is expected to impact both incubation temperature and maternal resource allocation and stress levels. Using a fully factorial design, and Bayesian multivariate mixed models, we explored how the manipulation of early thermal environment and yolk-quantity in eggs affected the morphology, performance and antipredator behaviour of two sympatric Australian skink species (Lampropholis delicata and L. guichenoti). We found that juveniles from the hot treatment were larger than those on the cold treatment in L. guichenoti but not L. delicata. Using repeated behavioural measures for individual lizards, we found an interaction between incubation temperature and maternal investment in performance, with running speed being affected in a species-specific way by the treatment. We predicted that changes in performance should influence antipredator responses. In support of this prediction, we found that maternal investment impacted antipredator behaviour, with animals from the yolk-reduced and cold treatment resuming activity faster after a simulated predatory attack in L. delicata. However, the prediction was not supported in L. guichenoti. Our results highlight the importance of exploring the multifaceted role that environments play across generations to understand how different anthropogenic factors will impact wildlife in the future.

opencc-zeroApr 2024View details →

Neotropical mammal responses to forest fires in Serra do Amolar, Brazil

The increasing frequency and severity of human-caused fires likely have deleterious effects on species distribution and persistence. In 2020, megafires in the Brazilian Pantanal burned 43% of the biome's unburned area and resulted in mass mortality of wildlife. We investigated changes in habitat use or occupancy for an assemblage of eight mammal species in Serra do Amolar, Brazil, following the 2020 fires using a pre- and post-fire camera trap dataset. Additionally, we estimated density for two naturally marked species, jaguars Panthera onca and ocelots Leopardus pardalis. Of the eight species, six (ocelots, collared peccaries Dicotyles tajacu, giant armadillos Priodontes maximus, Azara's agouti Dasyprocta azarae, red brocket deer Mazama americana, and tapirs Tapirus terrestris) had declining occupancy following fires, and one had stable habitat use (pumas Puma concolor). Giant armadillo experienced the most precipitous decline in occupancy from 0.431 ± 0.171 to 0.077 ± 0.044 after the fires. Jaguars were the only species with increasing habitat use, from 0.393 ± 0.127 to 0.753 ± 0.085. Jaguar density remained stable across years (2.8 ± 1.3, 3.7 ± 1.3, 2.6 ± 0.85 / 100km2), while ocelot density increased from 13.9 ± 3.2 to 16.1 ± 5.2 / 100km2. However, the low number of both jaguars and ocelots recaptured after the fire period suggests that immigration may have sustained the population. Our results indicate that the megafires will have significant consequences for species occupancy and fitness in fire affected areas. The scale of megafires may inhibit successful recolonization, thus wider studies are needed to investigate population trends.

opencc-by-4.0Feb 2024View details →

Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits

<div> <div>Data and R code to reproduce all analyses, figures and tables for Krebber et al. 2024, Ecology Letters: Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits. </div> <div> </div> <div>All analyses have been conducted and produced in the R environment (R version 4.1.2; R Core Team, 2021; RStudio Team, 2020). Bayesian hierarchical models have been run using the R package brms (Version 2.19.0; Bürkner, 2017). The data and R files containing the code to reproduce the results, figures and tables are described in the README file and code in more detailed is described in RCode_xxx files. Please note that the analyses are highly computational intensive and the scripts should be run on a high performance cluster (models and scripts running models and handeling model outputs presented here have been run with 16 cpus and with 50 - 100 GB of RAM). Packages needed are loaded at the beginning of each script. Please ensure that these and all their dependencies have been previously installed. The R code in the files has been carefully commented.</div> </div>

Neutral Composition and Temperature Response to the January 2021 SSW in the F-Region Observed by ICON

'Omni' is the geomagnetic indices for Figure 2. <a href="../api/records/11216124/draft/files/MERRA2%201979-2023.mat/content" target="_blank" rel="noopener">MERRA2 1979-2023</a> is zonal mean temperature at 10 hPa (~30 km) at 90 N and zonal mean zonal wind at 10 hPa at 60 N for Figure 1. ICON Limb FUV is the original data from ICON limb observed neutral composition and temperature profiles. pICON, pTIEGCM and pMSIS are the composition and temperature data transformed to the constant pressure levels from ICON observations, TIEGCM simulations and NRLMSISE-00 model for other Figures.

Multimodal mismatch responses in mouse auditory cortex

<div>All raw data and Matlab code necessary to produce the figures of https://elifesciences.org/reviewed-preprints/95398</div> <div> </div> <div> </div>

A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk

This repository contains code and data to reproduce results from the manuscript 'A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk'.

Boreal Winter Hadley Cell Contraction in Response to the Incorporation of a Comprehensive Ocean Surface Albedo in CESM2

Simulated output for:  Boreal Winter Hadley Cell Contraction in Response to the Incorporation of a Comprehensive Ocean Surface Albedo in CESM2

opencc-by-4.0Oct 2024View details →

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

Understanding transcriptional responses to chemical perturbations is central to drug discovery, but exhaustive experimental screening of diseasecompound combinations is unfeasible. To overcome this limitation, here we introduce PRnet, a perturbation-conditioned deep generative model that predicts transcriptional responses to novel chemical perturbations that have never experimentally perturbed at bulk and single-cell levels. Evaluations indicate that PRnet outperforms alternative methods in predicting responses across novel compounds, pathways, and cell lines. PRnet enables gene-level response interpretation and in-silico drug screening for diseases based on gene signatures. PRnet further identifies and experimentally validates novel compound candidates against small cell lung cancer and colorectal cancer. Lastly, PRnet generates a large-scale integration atlas of perturbation profiles, covering 88 cell lines, 52 tissues, and various compound libraries. PRnet provides a robust and scalable candidate recommendation workflow and successfully recommends drug candidates for 233 diseases. Overall, PRnet is an effective and valuable tool for gene-based therapeutics screening.

The lag and cumulative response of vegetation WUE to water vapor pressure deficit on the Shiyang River Basin, northwest of China_data description

Data description This document provides details about the data description in the manuscript. The variables are described below along with their collection methods and calculation processes: the  lag effect: The zip file of“The lag effect” contains three files: "rET_lag_result_z", "rGPP_lag_result"_, and" rWUE_lag_result_z". rET_lag_result_z:    "rET_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Evapotranspiration (ET) rGPP_lag_result_z:  "rGPP_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Gross Primary Productivity (GPP)  rWUE_lag_result_z:  "rWUE_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Water Use Efficiency (WUE)   the Cumulative effect: The zip file of“The Cumulative effect” contains three files: "rET_acc_result_z", "rGPP_acc_result"_, and" rWUE_acc_result_z". rET_acc_result_z:    "rET_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Evapotranspiration (ET) rGPP_acc_result_z:  "rGPP_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Gross Primary Productivity (GPP)  rWUE_acc_result_z:  "rWUE_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Water Use Efficiency (WUE)   the Slop_Partition: The zip file of“The Slop_Partition”contains three files: "Slop_ET_Partition", "Slop_GPP_Partition"_, and" Slop_WUE_Partition". Slop_ET_Partition: "Slop_ET_Partition" database is a dataset used to calculate the temporal and spatial dynamic change·trend of Evapotranspiration (ET) Slop_GPP_Partition: "Slop_GPP_Partition" database is a dataset used to calculate the temporal and spatial dynamic change·trend of Gross Primary Productivity (GPP) Slop_WUE_Partition: " Slop_WUE_Partition"  database is a dataset used to calculate the temporal and spatial dynamic change·trend of Water Use Efficiency (WUE)

opencc-by-4.0Feb 2024View details →

Root-knot nematode infection of Brassica rapa enhances the performance of a specialist root herbivore via systemically induced responses

Herbivores sharing host plants are often temporally and spatially separated, limiting direct interactions between them. Nevertheless, they can reciprocally influence each other via systemically induced plant responses, as observed in numerous study systems. In contrast, examples of such plant-mediated interactions between belowground herbivores are scarce, but we postulated that they similarly occur given the large diversity of root-interacting soil organisms. To test this hypothesis, we analyzed the performance of Delia radicum larvae feeding on main roots of Brassica rapa plants whose fine roots were infected by the root-knot nematode Meloidogyne incognita. Simultaneously, we studied the effects of M. incognita on D. radicum-induced defense responses and the accumulation of primary metabolites in the main root. We observed that almost 1.5 times as many D. radicum adults emerged from nematode-infected plants, indicating a facilitation effect of M. incognita infection. Although we observed increases in the accumulation of proteins and two essential amino-acids, the strongest effect of nematode-infection was visible in the defense response to D. radicum. We observed a 1.5 times higher accumulation of the defense-related phytohormone JA-Ile in response to D. radicum on nematode-infected plants, coinciding with a 75% increase in indole glucosinolate concentrations. Contrastingly, concentrations of aliphatic glucosinolates, secondary metabolites negatively affecting D. radicum, were 10-25% lower in nematode-infected plants. We hypothesize that the attenuated aliphatic glucosinolate concentrations result from antagonistic interactions between biosynthetic pathways of both glucosinolate classes, which was reflected in the expression of key biosynthesis genes. Our results provide explicit evidence of plant-mediated interactions between belowground organisms via systemically induced responses in roots.

opencc-by-4.0Dec 2023View details →

Carmichael_etal_Data_Analysis_All_Stress_Responses

Data for the submission "Reconciling variability in multiple stressor effects using environmental performance curves". This includes growth rate data for 12 bacterial taxa exposed to gradients of temperature, pH and salinity.  The R script for the data analysis pipeline is included, as well as a README file describing the data layout.

opencc-by-4.0May 2024View details →

Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage

Processed data and code for "Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage," Naqvi et al 2025. Directory is organized into the following subfolders, each tar'ed and gzipped: data_analysis.tar.gz - Processed data for modulation of TWIST1 levels and calculation of RE responsiveness to TWIST1 dosage <ul> <li>atac_design.txt - design matrix for ATAC-seq TWIST1 titration samples</li> <li>all.sub.150bpclust.greater2.500bp.merge.TWIST1.titr.ATAC.counts.txt - ATAC-seq counts from all samples over all reproducible ATAC-seq peak regions, as defined in Naqvi et al 2023</li> <li>atac_deseq_fitmodels_moded50.R - R code for calculating new version of ED50 and response to full depletion from TWIST1 titration data (note, uses drm.R function from <a href="https://doi.org/10.5281/zenodo.7689948">10.5281/zenodo.7689948</a>, install drc() with this version to avoid errors)</li> </ul> baseline_models.tar.gz - Code and data for training baseline models to predict RE responsiveness to SOX9/TWIST1 dosage <ul> <li>{sox9|twist1}.{0v100|ed50}.{train|valid|test}.txt - Training/testing/validation data (ED50 or full TF depletion effect for SOX9 or TWIST1), split into train/test/validation folds</li> <li>HOCOMOCOv11_core_HUMAN_mono_jaspar_format.all.sub.150bpclust.greater2.500bp.merge.minus300bp.p01.maxscore.mat.cpg.gc.basemean.txt.gz - matrix of predictors for all REs. Quantitative encoding of PWM match for all HOCOMOCO motifs + CpG + GC content, plus unperturbed ATAC-seq signal</li> <li>train_baseline.R - R code to train baseline (LASSO regression or random forest) models using predictor matrix and the provided training data. <ul> <li>Note: training the random forest to predict full TF depletion is computationally intensive because it is across all REs, if doing this run on CPU for ~6 hrs. </li> </ul> </li> </ul> chrombpnet_models.tar.gz - Remainder of code, data, and models for fine-tuning and interpreting ChromBPNet mdoels to predict RE responsiveness to SOX9/TWIST1 dosage <ul> <li>Fine-tuning code, data, models <ul> <li>{all|sox9.direct|twist1.bound.down}.{train|valid|test}.{ed50|0v100.log2fc}.txt - Training/testing/validation data (ED50 or full TF depletion effect for SOX9 or TWIST1), split into train/test/validation folds</li> <li>pretrained.unperturbed.chrombpnet.h5 - Pretrained model of unperturbed ATAC-seq signal in CNCCs, obtained by running ChromBPNet (https://github.com/kundajelab/chrombpnet) on DMSO-treated SOX9/TWIST1-tagged ATAC-seq data</li> <li>finetune_chrombpnet.py - code for fine-tuning the pretrained model for any of the relevant prediction tasks (ED50/ effect of full TF depletion for SOX9/TWIST1)</li> <li>best.model.chrombpnet.{0v100|ed50}.{sox9|twist1}.h5 - output of finetune_chrombpnet.py, best model after 10 training epochs for the indicated task</li> <li>chrombpnet.{0v100|ed50}.{sox9|twist1}.contrib.{h5|bw} - contribution scores for the indicated predictive model, obtained by running chrombpnet contribs_bw on the corresponding model h5 file.</li> <li>chrombpnet.{0v100|ed50}.{sox9|twist1}.contrib.modisco.{h5|bw} - TF-MoDIsCo output from the corresponding contribution score file</li> </ul> </li> <li>Interpretation code, data, models <ul> <li>contrib_h5_to_projshap_npy.py - code to convert contrib .h5 files into .npy files containing projected SHAP scores (required because the CWM matching code takes this format of contribution scores)</li> <li>sox9.direct.10col.bed, twist1.bound.down.10col.uniq.bed - regions over which CWMs will be matched (likely direct targets of each TF)</li> <li>match_cwms.py - Python code to match individual CWM instances. Takes as input: modisco .h5 file, SHAP .npy file, bed file of regions to be matched. Output is a bed file of all CWM matches (not pruned, contains many redundant matches).</li> <li>chrombpnet.ed50.{sox9|twist1}.contrib.perc05.matchperc10.allmatch.bed - output of match_cwms.py </li> <li>take_max_overlap.py - code to merge output of match_cwms.py into clusters, and then take the maximum (length-normalized) match score in each cluster as the representative CWM match of that cluster. Requires upstream bedtools commands to be piped in, see example usage in file. </li> <li>chrombpnet.ed50.{sox9|twist1}.contrib.perc05.matchperc10.allmatch.maxoverlap.bed - output of  take_max_overlap.py. These CWM instances are the ones used throughout the paper.</li> </ul> </li> </ul> modisco_reports.zip - TF-MoDIsCo reports from running on the fine-tuned ChromBPNet models <ul> <li>modisco_report_{sox9|twist1}_{0v100|ed50}: folders containing images of discovered CWMs and HTMLs/PDFs of summarized reports from running TF-MoDisCo on the indicated fine-tuned ChromBPNet model</li> </ul> chrombpnet_models_supp.tar.gz - Alternative ChromBPNet mdoels to predict SOX9/TWIST1 ED50 using varying definitons of direct targets <ul> <li> best.model.chrombpnet.ed50.twist1.3hdn.h5 - TWIST1 direct targets defined using response to full 3h depletion (as was done for SOX9 throughout the rest of the paper) </li> <li> best.model.chrombpnet.ed50.sox9.v5chip.h5 - SOX9 direct targets defined using V5 ChIP-seq from SOX9-tagged lines (as was done for TWIST1 throughout the paper) </li> </ul> mirny_model.tar.gz - Code and data for analyzing and fitting Mirny model of TF-nucleosome competition to observed RE dosage response curves <ul> <li>twist1.strong.multi.only.ed50.cutoff.true.hill.txt - ED50 and signed hill coefficients for all TWIST1-dependent REs with only buffering Coordinators (mostly one or two) and no other TFs' binding sites. "ed50_new" is the ED50 calculation used in this paper. </li> <li>twist1.strong.weak{1|2|3}.ed50.cutoff.true.hill.txt - ED50 and signed hill coefficients for all TWIST1-dependent REs with only buffering Coordinators (mostly one or two) and the indicated number of sensitizing (weak) Coordinators and no other TFs' binding sites. "ed50_new" is the ED50 calculation used in this paper. </li> <li>MirnyModelAnalysis.py - Python code for analysis of Mirny model of TF-nucleosome competition. Contains implementations of analytic solutions, as well as code to fit model to observed ED50 and hill coefficients in the provided data files.</li> </ul> nucleoatac.tar.gz - Output files from running NucleoATAC on merged ATAC-seq from each of 5 TWIST1 dosages <ul> <li>TWIST1_{dosage}_merge.nucmap_combined.bed.gz - see NucleoATAC docs for output format</li> </ul>

opencc-by-4.0Jun 2024View details →

Reconciling community-level responses of wild bees to highly anthropized landscapes

Data and source code for the analyses described in the manuscript.

opencc-by-4.0Oct 2021View details →

Supplementary material S28: Modal response of the petri-dish and accelerometer.

Accelerometer modal response, with petri-dish, petri-dish and lid, and alone. An artificial vibration was driven at a 25% magnitude of the PC maximum output volume with a frequency sweep from 0 to 24kHz, via an electromagnetic shaker, to the accelerometer (green), accelerometer glued to the petri-dish (black) and the accelerometer glued to the petri-dish with the lid placed on (red). These figures demonstrate the linearity of the recording system in both linear and logarithmic scales. A large deviation from linearity is seen at 18kHz, where our signals of interest are seldom seen. The only other discrepancy is seen at 500Hz, where the petri-dish exhibits a resonance. The electromagnetic shaker is incapable of vibrating the accelerometer beyond 21kHz, causing the large drop of response seen at ultra-high frequencies.

opencc-zeroOct 2021View details →

Inter- and intraspecific selection in alien plants: how population growth, functional traits and climate responses change with residence time

Aim: When alien species are introduced to new ranges, climate or trait mismatches may initially constrain their population growth. However, inter- and intraspecific selection in the new environment should cause population growth rates to increase with residence time. Using a species-for-time approach, we test whether with increasing residence time (a) negative effects of climatic mismatches between the species' new and native range on population growth weaken, and (b) functional traits converge towards values that maximize population growth in the new range. Location: Germany. Time period: 12,000 years BP to present. Major taxa studied: 46 plant species of the Asteraceae family. Methods: We set up a common-garden mesocosm-experiment using annual plant species with a wide range of residence times (7-12,000 years) and followed their population dynamics over two years. We calculated climatic distance between the common garden and the species' native range. We also measured key functional traits of each species to analyse trait-demography relationships and test trait convergence with increasing residence time. Results: We found no support for the hypothesis that negative effects of climatic mismatches on population growth weaken with residence time. However, seed mass had a clear negative effect on population growth. As expected under such strong directional selection between or within species, increasing residence time led seed mass to converge to low values that increase population growth. Accordingly, population growth tended to increase with residence time. Main conclusions: We identify trait but not climatic mismatches as important constraints on population growth of invaders. Understanding how inter- and intraspecific selection shapes functional traits of alien species should improve the predictability of future invasions and help understanding limits to the population growth and spread of invaders already present. In a broader context, this study contributes to the conceptual integration of invasion biology with community, functional, and population ecology.

opencc-by-4.0Oct 2021View details →

Swift-BAT Response Files for NITRATES

The response files used in the NITRATES search.  resp_tabs.tar.gz - contains the photoelectric and Compton response files that were generated using detectors only in the mass model. The direct response.  resp_tabs_ebins.tar.gz - same as resp_tabs.tar.gz except it uses only the 9 analysis energy bins comp_flor_resps.tar.gz - contains the Compton and fluorescence response files that were generated using the whole mass model. The indirect response.  hp_flor_resps.tar.gz -  contains the fluorescence only response files that were generated using the whole mass model. The indirect response. solid_angle_dpi.npy - file with the solid angle each detector is exposed to through the holes in the mask. Used for the diffuse model.  rate_resps.tar.gz - contains a grid of spectral models folded through the response for the split rates analysis for a spectral norm of 1. This is for a grid of points in imx and imy. rate_resps_outFoV.tar.gz - the same as rate_resps.tar.gz except for the out of FoV grid points.

opencc-by-2.0Nov 2021View details →

TG 111: Factors Governing the Individual Response of Humans to Ionising Radiation

The current system of radiological protection, that aims to avoid tissue reactions (deterministic effects) and minimize risk of stochastic effects (cancers and hereditary effects), through justification and optimisation of practices and limitation of exposures, is based on estimations of risk to a notional average person. The use of an age- and sex-averaged approach is not a reflection of the reality of population structures, but is a pragmatic approach. However, we know that there are variations in radiosensitivity between individuals within the population. The underlying reasons for this variation can be genetic (for example, the radiation-sensitive syndromes such as ataxia telangiectasia and Gorlin syndrome), epigenetic and also environmental or behavioural (for example, the difference in lung cancer risks in smokers and non-smokers). A better understanding of the factors that underlie inter-individual variation in response to radiation, and the magnitude of the variation could impact on the approaches adopted to radiation protection in the occupational, medical and public sectors. One example where this may impact is in radiotherapy for cancer, where severe normal tissue complications can be observed in a sub-set of the individuals treated. Understanding the subpopulations for which such severe complications occur, and the underlying mechanistic basis could inform radiotherapy treatment decision making, improving tumour cure rates while avoiding the severe complications. In 2018, the International Commission on Radiological Protection established a Task Group, TG111 to consider Factors Governing the Individual Response of Humans to Ionising Radiation. The aim of this presentation is to review the current state of knowledge on variation in individual response to radiation and to provide an update on progress with the work of the ICRP Task Group.

opencc-by-2.0Nov 2021View details →

Making ICRP Recommendations 'Fit For Purpose' for the Response to a Nuclear or Radiological Emergency

Background: ICRP recommendations need to be made fit for purpose for the response to a nuclear or radiological emergency. While the System of Radiological Protection has performed well to meet its primary objective ‘to contribute to an appropriate level of protection for people…’ in normal, routine activities (planned exposure situations), the System has failed in its objective related to protection of the people in emergency exposure situations. This is evident from the excess deaths, increases in morbidity (e.g., diabetes, heart diseases) and other severe effects (e.g., mental, economic, social) observed after the Fukushima Daiichi nuclear power plant accident. These adverse effects resulted from protective actions taken to avert radiation exposure, consistent with international recommendations, even though the radiation health effects avoided are negligible and not discernible. These actions were therefore not justified based on the hazard to health from radiation exposure. Too much emphasis is given to protection of people from the radiation, without due consideration to the impact of the protective action. Thus justification – to do more good than harm – is not being realised. The principle of justification has not been thoroughly or correctly considered before, in part because no tools were provided to allow the risk of protective actions to be put in perspective, so our analysis will provide a technical basis for the development of such tools. Methods: Meta-analysis of more than 600 papers focusing on protective actions and non-radiological health effects for different disasters (including nuclear and natural disasters). Analysis in terms of absolute risk (cases per 1000) of the health effects resulting from protective actions and radiation health effects from the averted dose based on the LNT fatal risk coefficient of 5% per Sv. Results: Preliminary results are presented. We estimate approximately 15 excess early deaths per 1000 among the general population and 30 among those in long term care facilities following dislocations resulting from protective actions, while only 1 hypothetical excess radiation-induced cancer (late) death per 1000 would be averted if protective actions are taken at 20 mSv total effective dose – a criterion used in many countries for implementation of protective actions. Conclusions: Implementing protective actions can result in more excess deaths than assumed to result from the radiation expose averted. Such negative impacts to the health of people must be accounted for in the System of Radiological Protection and recommendations concerning their application, or they are failing to protect people effectively.