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This dataset contains cross-sectional survey data from 317 adult survivors of the February 6, 2023 Kahramanmaraş earthquakes (Türkiye), most of whom experienced the earthquakes in Hatay province, one of the most severely affected regions. Data were collected approximately 21–22 months post-earthquake using the Zimbardo Time Perspective Inventory, the Meaning in Life Questionnaire (presence of and search for meaning subscales), and the Posttraumatic Growth Inventory, along with demographic and earthquake-related exposure variables (e.g., loss, displacement, damage exposure). The dataset was used to test a parallel mediation model examining whether presence of and search for meaning in life account for the associations between time perspective dimensions (past-negative, past-positive, present-hedonistic, present-fatalistic, future) and posttraumatic growth, controlling for demographic and exposure-related covariates.

Program code for organic and non-organic olive-leaf tea auction experiments

The present study examined 67 Piétrain breeding boars in two breeding stations in Germany via clinical scoring and infrared thermographic imaging (IRT). Beside different clinical parameters (ten animal-welfare indicators) and IRT analyses of ear and left body side (five variables), offspring of 22 of these examined boars were evaluated using the national score ‘German Pig Scoring Key (DSBS)’. Regarding clinical parameters: Breeding boars showed a high prevalence of congested veins (74%), flaky coat appearance (73%) and loss of ear hair (77%). IRT data gave results for infrared ear temperatures in breeding boars and thermal profiles of ear and body. Additionally, data revealed that no significant differences (p > 0.05) were found between the ear skin temperatures of both ears and the number of ear tags. IRT can be a useful tool to analyze breeding boars’ health (in terms of infrared thermal profiles) and IRT profiles might be used as a first sign for swine inflammation and necrosis syndrome (SINS) in boars. But more studies are needed. As parental health is linked to offspring health, additionally more focus should be given to breeding boars and sow lines.

These data sets are generated during the detailed comparison between WT NRF2 and NRF2 carrying Ala instead of Ser at positions 374, 408 and 433. Special focus is hereby on NRF2 decay in cells without functional KEAP1, and on NRF2 interaction with AMPK or beta TrcP in cells with and without activated AMPK. Most of the data is published open access in doi: 10.3390/antiox12081586

The resistance of memory began before the trains. In the Warsaw Ghetto the historian Emanuel Ringelblum organised a secret archive called Oneg Shabbat, the joy of the Sabbath, gathering diaries, children's essays, decrees, and the first reports of the gassings. In the summer of 1942, as some 265,000 of the ghetto's Jews were sent to Treblinka, its members sealed the papers in tin boxes and milk cans and buried them. A nineteen-yearold named David Graber left a last note: what they could not cry out to the world, he wrote, they had buried in the ground, and he prayed the treasure would live to see better times. Ringelblum was shot with his wife and son in March 1944. Two parts of the archive were dug out after the war. The third has never been found. In that same August of 1942 the physician and educator Janusz Korczak walked with the children of his orphanage, some two hundred of them, to the loading square and onto the train for Treblinka, refusing every offer to save himself. Years earlier, in The Child's Right to Respect, he had demanded that children be treated as persons now and not as persons in waiting, and he had scorned declarations that begged for kindness where they should have insisted on rights. His ghetto diary survived him. When Poland put forward the first draft of the United Nations Convention on the Rights of the Child in 1978, its advocates named him as the convention's spiritual ancestor. The man who walked children to their deaths gave the world the charter that protects children still. The cry grew louder as the ghetto died. The poet Itzhak Katzenelson, whose wife and two younger sons were taken to Treblinka, escaped to an internment camp at Vittel in France and there wrote The Song of the Murdered Jewish People, a lament in fifteen cantos that calls on the heavens to witness what men had done. He buried the manuscript in bottles beneath a tree and sewed a copy into the handle of a suitcase. He was deported to Auschwitz and murdered in 1944; the bottles were dug up after liberation. On 23 April 1943, from the burning ghetto, Mordecai Anielewicz, twenty-four years old and commander of the Jewish Fighting Organization, wrote to a comrade outside that the dream of his life had come true: Jewish self-defence in the ghetto had become a fact. He died at the bunker on Mila Street two weeks later. In London, Szmul Zygielbojm, a Jewish member of the Polish National Council in exile, had spent months begging Allied governments to act on the reports reaching him. When word came that the ghetto had fallen, he took his own life on 12 May 1943 and left a letter saying that he could not remain silent or live while the remnant of his people was being destroyed, and that he hoped his death might break the indifference of the world. Three men, three forms of the same cry: the song buried in the earth, the rifle raised in the ruins, the life laid down as a last protest before the conscience of nations.

Table 1 dataset Table 3 dataset WAXS-dried sample-raw data FTIR spectrum-dried sample-raw data SEM images-dried sample-raw data

Replication materials for the study The Market Reaction to Geopolitical Delisting. The study examines how U.S.-listed China and Hong Kong issuers were repriced around seven Holding Foreign Companies Accountable Act (HFCAA) regulatory milestones and three issuer-exit announcements. The archive contains 3,988 derived firm-event observations: 2,695 observations across the seven regulatory events and 1,293 peer-spillover observations across the three exit events, with announcing firms excluded from the relevant peer samples. For each firm-event observation, the files report market-adjusted and Fama-French three-factor abnormal returns for trading days -3 to +3, together with CAR[-3,-1], CAR[0,+3], and CAR[-3,+3]. The archive also provides the event schedule, SEC conclusive-identification mapping, ticker aliases, industry classifications, sample audits, aggregate table results, robustness outputs, replication code, and input templates. The evidence shows that audit-cooperation and statutory-resolution events generated the strongest positive repricing, SEC identification events produced negative enforcement effects, and the five central state-owned enterprise exits generated negative peer spillovers. Raw prices, source returns, shares outstanding, trading volume, exchange codes, and market-index observations were obtained from licensed databases and cannot be redistributed; the archive therefore supplies the derived analysis data used in the reported tests. See README.md and the documentation folder for variable definitions, sources, and reproduction instructions.

This dataset was collected as part of a research effort to understand and recognize the emotional states of dogs through their natural behavior and vocalizations. The purpose of this collection was to investigate the feasibility of using both audio and visual data to recognize various dog emotions and lay the groundwork for automatic algorithms to recognize dog emotions. This data set has been gathered from various localities of Mangalore Approximately 127 audio-visual dog recordings collected for the study of Canine Emotion Recognition. The dataset consists of 4 emotion classes of unlabelled video recordings of dog: Happy, Sad, Angry, and Relaxed., These emotions are identified and assigned labels through the application of various clustering algorithms.. The dataset will contribute to the research and development of machine learning and deep learning algorithms for understanding and categorizing the emotional state of dogs based on visual and auditory cues. The recordings are suitable for emotion recognition in multimodal, audio-based, video-based and emotion classification systems. This dataset can serve as a basis for analyzing the correlation between the dog's behavior, expression and emotions for emotion recognition systems that recognize and process emotions automatically.

This dataset supports the study "A Shanghai-based model for cross-city transfer of residential cooling and heating loads with building-climate interactions". It provides simulation data and analysis code for the Mechanism-Informed Cross-city Transfer model (MICT). The data include Shanghai source-domain training and test sets with 2,048 and 512 building configurations; development data for 50 cities with 256 shared building configurations per city; and external evaluation data for 15 city-weather cases with 256 configurations per case (3,840 cases per load target). Cooling and heating are separate targets for the same cases. External cases include weather-record changes at represented locations and cases from additional climate subzones. External load labels are used only for evaluation after model freeze. Annual ideal cooling and heating loads were simulated with EnergyPlus and are expressed in kWh per square metre per year. The release also includes climate descriptors for 66 weather cases, Morris screening summaries for 14 cities, locked outer validation partitions, numerical frozen-model parameters, archived predictions, supplementary tables, and source data and scripts for Figures 1-13 and Supplementary Figure S1. The Python code reproduces frozen MICT correction inference for the 256 archived building configurations, recalculates external performance metrics and regenerates the figures. Shanghai source-model predictions for these configurations are supplied as data. The release does not rerun complete EnergyPlus simulations, source-model fitting, benchmark training or nested feature selection. Third-party EPW files are identified through source metadata and repository links but are not redistributed. README.txt and DATA_DICTIONARY.md explain the data and reproduction scope; FILE_MANIFEST.csv describes individual archived files. Data tables, numerical model parameters, results and documentation are licensed under CC BY 4.0. Original Python source files in code/ and figures/ are licensed separately under MIT, as specified in LICENSE_CODE_MIT.txt.

This dataset contains the numerical data supporting this study, including the original analytical data and calculated and modeled results presented in the main text and Electronic Supplementary Material. The dataset comprises five files: (1) Supplementary material of methods, including detailed analytical methods and supplementary figures. (2) Table S1, presenting oxygen isotope compositions and characteristic Raman peak positions and FWHM values of zircon micro-scale domains (Zrn-I, Zrn-II, and Zrn-III) in the Baishitouquan pluton. (3) Table S2, including Table S2-1, which presents oxygen isotope compositions of quartz phenocrysts and calculated δ18OWR, δ18Ofluid, Δ18OQtz–Zrn values, and equilibrium temperatures in the Baishitouquan pluton, and Table S2-2, which presents modeled δ18O values of quartz and the Baishitouquan melt based on oxygen isotope mass balance. (4) Table S3, including Table S3-1, which presents Δ18OWR–Zrn values calculated using the δ18O values of Zrn-I based on the method of Valley et al., and Table S3-2, which presents the corresponding calculations based on the method of Bucholz et al. (5) Table S4, presenting calculated oxygen isotope closure temperatures for zircon and quartz. Together, these files contain the numerical data used to generate the quantitative results and figures in the main text, as well as the data and calculations presented in the Electronic Supplementary Material.