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Replication package for: Empirical Investigation of a Sufficient Statistic for Monetary Shocks
<p>This replication package codes and datasets to replicate the results in "Empirical Investigation of a Sufficient Statistic for Monetary Shocks" by Fernando Alvarez, Andrea Ferrara, Erwan Gautier, Hervé Le Bihan and Francesco Lippi when to be published at RESTUD. The readme file describes how to run the code and how to access the data underlying the results. Please note that the micro CPI and PPI data sets used to compute the price rigidity statistics are proprietary data, provided to the authors by Insee (French Statistical Office) after a bilateral agreement between Banque de France and Insee and these micro price data sets cannot be shared.</p>
Boosting serotonin synthesis is not sufficient to improve motor coordination of Mecp2 heterozygous mouse model of Rett syndrome
<p>Excel file related to the article</p>
FIGURE 11 in Variability of Echiniscus tristis Gąsiorek & Kristensen, 2018 - is morphology sufficient for taxonomic differentiation of Echiniscidae?
FIGURE 11. Correlation of body length (in [μm]) of Echiniscus tristis Gąsiorek & Kristensen, 2018 (population from Madagas- car) females and the type of chaetotaxy. The size of the specimens with A-C-Dd-E chaetotaxy (Mean = 194 μm ±SD = 19 μm), and specimens with A-Dd-E chaetotaxy (190 ±18 μm). SE—standard error, SD—standard deviation.
FIGURE 10 in Variability of Echiniscus tristis Gąsiorek & Kristensen, 2018 - is morphology sufficient for taxonomic differentiation of Echiniscidae?
FIGURE 10. The body length (in [μm]) of the juveniles of Echiniscus tristis Gąsiorek & Kristensen, 2018 (population from Madagascar) and the type of chaetotaxy. Specimens with A-C-Dd-E chaetotaxy (Mean =151 μm ±SD = 15 μm) and specimens with A-Dd-E chaetotaxy and (138 ±13 μm), respectively. SE—standard error, SD—standard deviation.
FIGURE 6 in Variability of Echiniscus tristis Gąsiorek & Kristensen, 2018 - is morphology sufficient for taxonomic differentiation of Echiniscidae?
FIGURE 6. Echiniscus tristis Gąsiorek & Kristensen, 2018 (population from Madagascar): A—B—the characteristic pattern on the terminal plate visible in some individuals (PCM and SEM respectively), arrow indicates large pores in place where median plate 3 can be present in different taxa; C—cuticular pillars visible on ventral side with larger pillars on the leg line (PCM). Scale bars in micrometres [μm].
FIGURE 3 in Variability of Echiniscus tristis Gąsiorek & Kristensen, 2018 - is morphology sufficient for taxonomic differentiation of Echiniscidae?
FIGURE 3. Types of chaetotaxy found in Madagascan juveniles and females of Echiniscus tristis Gąsiorek & Kristensen, 2018, with first two on the left in upper row being most common.
FIGURE 1 in Variability of Echiniscus tristis Gąsiorek & Kristensen, 2018 - is morphology sufficient for taxonomic differentiation of Echiniscidae?
FIGURE 1. Echiniscus tristis Gąsiorek & Kristensen, 2018 (population from Madagascar)—voucher exoskeletons (hologeno- phores) of specimens used in DNA isolation, PCM:—A—voucher No MAD/139/3/S, B—voucher No MAD/139/12/S, C— voucher No MAD/139/2/S, D—voucher No MAD/139/9/S, E—voucher No MAD/139/10/S, F—voucher No MAD/139/8/S. Scale bars in micrometres [μm].
FIGURE 2 in Variability of Echiniscus tristis Gąsiorek & Kristensen, 2018 - is morphology sufficient for taxonomic differentiation of Echiniscidae?
FIGURE 2. Echiniscus tristis Gąsiorek & Kristensen, 2018 (population from Madagascar)—habitus: A—dorso-ventral assembled image (PCM); insert shows close-up on split lateral cirrus C; B–D—specimens with different chaetotaxy (PCM); E–F—specimens with different chaetotaxy (SEM); arrowheads indicate positions of dorsal and lateral cirri. Scale bars in micrometres [μm].
Data from: Skin swabbing of amphibian larvae yields sufficient DNA for efficient sequencing and reliable microsatellite genotyping
Skin swabbing, a minimally invasive DNA sampling method recently developed on adult amphibians, was tested on larvae of fire salamanders (Salamandra salamandra). The quality and quantity of the sampled DNA was evaluated by (i) measuring DNA concentration in DNA extracts, (ii) sequencing part of the mtDNA cytochrome b gene (692 bp) and (iii) genotyping eight polymorphic nuclear microsatellite loci. The multiple-tubes approach was used for calculating allelic dropout (ADO) and false allele (FA) rates to evaluate the reliability of the genotypes. DNA extracts from tissue samples of road-killed individuals were included in the study as positive controls. Our results showed that skin swabs of fire salamander larvae can provide DNA in sufficient quantity and quality, as sequencing was successful and no allelic dropouts or false alleles were detected. This method, tested for the first time on amphibian larvae, has proven to be an efficient and reliable alternative to the controversial tail fin clipping procedure.
IL-2 inside tumor microenvironment is essential and sufficient to reinvigorate CD8+ T cells
<p>The single-cell RNA seq data of day 10 and day 20. </p>
Adaptation of sea turtles to climate warming: will phenological responses be sufficient to counteract changes in reproductive output?
<p>README: Supplementary Information</p> <p> </p> <p>In this document, we list the supplementary material that supports our results and conclusions and we provide a description of what each file contains.</p> <p> </p> <p>Supplementary Tables</p> <p> </p> <p><strong>Supp. Info. Table S1: metadata</strong></p> <p>This file contains various information about the nesting sites studied, including their location and respective Regional Management Unit (RMU, as per Wallace, B. P., et al. 2010. "Regional management units for marine turtles: a novel framework for prioritizing conservation and research across multiple scales." PLoS One 5(12): e15465), the number of nesting seasons with nest count data and how monitoring is conducted, the number of temperature loggers deployed, their type and where they were placed in the clutch, hatchling measurements in terms of straight carapace length (SCL in mm), and whether data from the literature (incubation experiments at constant temperature) was available at the RMU level to estimate thermal tolerance curves (see the column labeled ‘hatching success lab. data for this RMU (literature)’) and sex ratio thermal reaction norms (see the column labeled ‘sex ratio lab. data for this RMU (literature)’).</p> <p>The file also summarizes the parameters used to reconstruct nest temperature following the method in Monsinjon, J. R., et al. (2019) "The climatic debt of loggerhead sea turtle populations in a warming world." Ecological Indicators 107: 105657: mean diel thermal amplitude in °C (daily maxima minus daily minima), average time of daily min. temperatures in decimal hours, average time of daily max. temperatures in decimal hours, number of days lagged with sea surface temperature (SST), number of days lagged with two-meter air temperature (T2M), GLM coefficient of the Intercept, GLM coefficient of the relationship with SST, GLM coefficient of the relationship with T2M, GLM coefficient of the relationship with the proportion of incubation time used to infer metabolic heating (MH), and standard deviation of the coefficients of the nests from the GLMM random effect used to estimate the thermal heterogeneity.</p> <p>IPCC regions from which predicted increases in air and sea temperatures were extracted are indicated along with the values extracted for the future changes in temperature (median). The settings selected to extract the warming scenarios from the online interface are given below:</p> <ul> <li>IPCC's atlas: https://interactive-atlas.ipcc.ch/regional-information</li> <li>Dataset = CMIP6 (Model projections)</li> <li>Variable = Mean temperature (T) and Sea Surface Temperature (SST) anomalies (change in deg C)</li> <li>Region set = WGI reference-regions (or Small islands for Tetiaroa, French Polynesia)</li> <li>Uncertainty = Advanced</li> <li>Baseline period = 1981-2010</li> <li>Future period = 2081-2100</li> <li>Season = Annual</li> <li>Scenario “Middle of the road” (SSP2-4.5): Approximately in line with the upper end of combined pledges under the Paris Agreement. The scenario “deviates mildly from a ‘no-additional climate-policy’ reference scenario, resulting in a best-estimate warming around 2.7°C by the end of the 21st century”.</li> </ul> <p>The remaining columns show the shift (number of days) in nesting phenology estimated for the IPCC regions according to seawater warming scenarios, and using either the mean or the extreme (max.) coefficient of the negative linear relationship between nesting dates and sea water temperature (using the literature data presented in <strong>Supp. Info. Table S6</strong>).</p> <p> </p> <p><strong>Supp. Info. Table S2: hatching success literature data</strong></p> <p>This file contains the literature data on hatching success from incubation experiments conducted at various constant temperatures. For each species, the Regional Management Unit (RMU) is specified.</p> <p> </p> <p><strong>Supp. Info. Table S3: mean temperature and hatching success</strong></p> <p>This file contains in-situ hatching success data and associated mean temperatures during the whole incubation period. Data are from the literature and the present study (refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes). Note that the nesting season is specified only for the present study.</p> <p> </p> <p><strong>Supp. Info. Table S4:</strong> <strong>sex ratio literature data</strong></p> <p>This file contains the literature data on sex ratio from incubation experiments conducted at various constant temperatures. For each species, the Regional Management Unit (RMU) is specified.</p> <p> </p> <p><strong>Supp. Info. Table S5: in situ hatching success</strong></p> <p>This file contains in-situ hatching success data measured at 19 of our 24 study sites encompassing the four species considered for this study: <em>Caretta caretta</em>, <em>Chelonia mydas</em>, <em>Eretmochelys imbricata</em>, and <em>Lepidochelys olivacea</em> (refer to <strong>Supp. Info Table S1</strong> for the 3-letter beach codes). When the number of eggs was not available, we calculated the number that hatched by multiplying the survival proportion by 100 and rounding the value. And we calculated the number of eggs that did not hatch by subtracting the number that hatched from 100.</p> <p> </p> <p><strong>Supp. Info. Table S6: phenological shifts</strong></p> <p>This file contains the literature data on the relationship between nesting dates and thermal environmental cues. The grey rows (*) indicate cases that were not considered because the study reported either non-significant relationships or positive relationships between the proxy for nesting phenology and the environmental cue (i.e., a delay of nesting dates with increasing temperatures instead of a shift earlier as assumed in the present study).</p> <p> </p> <p><strong>Supp. Info. Table S7: required phenological shifts earlier and later in the nesting season</strong></p> <p>This file contains the estimated required phenological shifts (number of days earlier or later in the season to stay within present-day conditions) and associated rates (number of days earlier or later per 1°C increase in sea surface temperature) that would be necessary to achieve required shifts. Rates were calculated by dividing the required shifts by projected increases in sea surface temperature at our sites (see <strong>Supp. Info. Table S1</strong>). Required shifts and rates were calculated for our indicators of incubation temperature (IT in column labels; phenological shifts required for the future median incubation temperature index to remain below the 75<sup>th</sup> percentile of current conditions), hatching success (HS in column labels; phenological shifts required for the future median hatching success index to remain above the 25<sup>th</sup> percentile of current conditions), and sex ratio (SR in column labels; phenological shifts required for the future median sex ratio index, in proportion of males, to remain above the 25<sup>th</sup> percentile of current conditions). NAs mean that no shift was found to remain within present-day conditions. Refer to <strong>Supp. Info Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Table S8: hatching success and sex ratio ranges per site</strong></p> <p>This file contains statistics (minimum, median, and maximum) on hatching success (HS in survival proportion) and sex ratio (SR in male proportion) for each study site, and the climate (SSP2-4.5) and phenology (no shift, mean shift, and max. shift) scenarios presented in the core manuscript. For each study site (see <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes in the first column), ranges are calculated between 2007-2020 for the present conditions and between 2059-2100 for the future conditions.</p> <p> </p> <p>Supplementary Figures</p> <p> </p> <p><strong>Supp. Info. Figure S1: hatching success and sex ratio reaction norms</strong></p> <p>This figure shows the hatching success and sex ratio thermal reaction norms estimated using literature data at controlled incubation temperatures (see data in <strong>Supp. Info. Table S2</strong> and <strong>Supp. Info. Table S4</strong>) for the four species considered here: <em>Caretta caretta</em>, <em>Chelonia mydas</em>, <em>Eretmochelys imbricata</em>, and <em>Lepidochelys olivacea</em>. Points are observations and error bars are their confidence intervals. Continuous lines are estimated curves with shades of grey being the confidence intervals. Reaction norms were fitted using data at the species-level (black) and the RMU-level (red) when available.</p> <p> </p> <p><strong>Supp. Info. Figure S2: output examples in 2018-2020</strong></p> <p>This figure shows five successive panels for each study site. In the first panel, we show reconstructed nest temperature without metabolic heating under present (black) and future (SSP2-4.5 in red) scenarios. The blue line shows the estimated pattern of nesting activity assuming no change in phenology and the purple and pink ones corresponds to those assuming a maximum shift (i.e., -18.85 d.°C<sup>-1</sup>) and a mean shift (i.e., -6.86 d.°C<sup>-1</sup>), respectively, in nesting dates under the SSP2-4.5 warming scenario (see median values in <strong>Supp. Info. Table S1</strong>). The following panels show the outputs for hatching success and sex ratio under the present and SSP2-4.5 climate scenarios. Information on the study sites is shown in the title (species, location, 3-letter beach codes).</p> <p> </p> <p><strong>Supp. Info. Figure S3: required shift for incubation temperature</strong></p> <p>This figure shows the backward (earlier nesting) and forward (later nesting) phenological shifts required (vertical arrows) for the future median incubation temperature index (the black continuous line, with grey shaded areas representing the 25<sup>th</sup> and 75<sup>th</sup> percentiles) to remain below the 75<sup>th</sup> percentile of current conditions. The black rectangle represents the 25<sup>th</sup> and 75<sup>th</sup> percentiles of current conditions and the black point is the median. The red point shows the median of future conditions under the SSP2-4.5 warming scenario assuming no phenological shift, the blue point according to the mean phenological shift, and the green point according to the maximum phenological shift. Refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Figure S4: required shift for hatching success</strong></p> <p>This figure shows the backward (earlier nesting) and forward (later nesting) phenological shifts required (vertical arrows) for the future median hatching success index (the black continuous line, with grey shaded areas representing the 25<sup>th</sup> and 75<sup>th</sup> percentiles) to remain above the 25<sup>th</sup> percentile of current conditions. The black rectangle represents the 25<sup>th</sup> and 75<sup>th</sup> percentiles of current conditions and the black point is the median. The red point shows the median of future conditions under the SSP2-4.5 warming scenario assuming no phenological shift, the blue point according to the mean phenological shift, and the green point according to the maximum phenological shift. Refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Figure S5: required shift for sex ratio</strong></p> <p>This figure shows the backward (earlier nesting) and forward (later nesting) phenological shifts required (vertical arrows) for the future median sex ratio index, in proportion of males (the black continuous line, with grey shaded areas representing the 25<sup>th</sup> and 75<sup>th</sup> percentiles), to remain above the 25<sup>th</sup> percentile of current conditions. The black rectangle represents the 25<sup>th</sup> and 75<sup>th</sup> percentiles of current conditions and the black point is the median. The red point shows the median of future conditions under the SSP2-4.5 warming scenario assuming no phenological shift, the blue point according to the mean phenological shift, and the green point according to the maximum phenological shift. Refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Figure S6: incubation temperature fit quality for each site</strong></p> <p>This figure shows the predicted vs observed daily mean incubation temperatures (individually for each site). The grey dashed line is the line of equality, and the red line shows the orthogonal regression. Refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Figure S7: sensitivity analysis</strong></p> <p>This figure shows the differences in hatching success (survival proportion) and sex ratio (male proportion) when predicted using laboratory data (from constant temperature experiments found in the literature: see <strong>Supp. Info. Table S2 </strong>and <strong>Supp. Info. Table S4</strong>) either at the species level or at the Regional Management Unit (RMU) level. Differences are plotted for two climate scenarios (present and SSP2-4.5) and three phenology scenarios (no shift, mean shift, max. shift: see values in number of days shifted earlier in <strong>Supp. Info. Table S1</strong>). We considered only predictions for <em>Caretta caretta</em> (Cc in orange), <em>Eretmochelys imbricata</em> (Ei in yellow) and <em>Lepidochelys olivacea</em> (Lo in green). Data at the RMU level were not available at our study sites for <em>Chelonia mydas</em>. Black dashed lines represent the line of equality.</p> <p> </p>
Study to Investigate if Sucking a Coldamaris Lozenge Elutes Sufficient Iota-carrageenan to Inactivate Usual Common Cold Viruses
ClinicalTrials.gov study NCT04533906. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Laparoscopic Elective Colorectal Procedures Performed by Supervised Residents Are Safe and Sufficient.
ClinicalTrials.gov study NCT06622720. IPD Sharing: NO. Countries: 1. Publications: 7.
Does Increasing Oxygen Nurture Your Symptomatic Ischemic Ulcer Sufficiently?
ClinicalTrials.gov study NCT05804097. IPD Sharing: YES. Countries: 1. Publications: 1.
Improving Neuroprotective Strategy for Ischemic Stroke With Sufficient Recanalization After Thrombectomy by Edaravone Dexborneol
ClinicalTrials.gov study NCT04667637. IPD Sharing: YES. Countries: 1. Publications: 1.
Effects of Orofacial Myofunctional Therapy on Mental Functioning and Overall Self-Sufficiency in Stroke Patients
ClinicalTrials.gov study NCT05061043. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Improving Neuroprotective Strategy for Ischemic Stroke With Sufficient Recanalization After Thrombectomy by Intra-arterial Cocktail Therapy (INSIST-CT)
ClinicalTrials.gov study NCT04202549. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Placenta Perfusion and Sufficiency Study
ClinicalTrials.gov study NCT06042348. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
A Study for Sufficient Acarbose Decreased Glucose Excursion in Type 2 Diabetic Patients
ClinicalTrials.gov study NCT03805191. IPD Sharing: UNDECIDED. Countries: 1. Publications: 28.
Sufficient Treatment of Peripheral Intervention by Cilostazol
ClinicalTrials.gov study NCT00912756. IPD Sharing: Not stated. Countries: 1. Publications: 2.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.