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  • Satellite observations of picocyanobacterial blooms in Florida Bay (USA)
    This dataset contains satellite-derived (a) maps of picocyanobacterial bloom occurrence frequency (BOF) and bloom intensity (BI) and (b) bloom footprints (km^2) for the Florida Bay region (24.5N – 25.4N, 81.5W – 80.2W) between May 2003 and April 2025. Satellite data were collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Bloom statistics were generated both monthly and annually. Annual bloom statistics were determined based on water years (WY) that begin in May of the previous calendar year and end in April to better reflect local hydrology. Each WY then consists of an entire wet (May-October) and dry (November-April) season.
  • POLITIX-BN: A dataset of Bengali political discourse annotated for sentiment and toxicity
    POLITIX-BN is a Bengali-language corpus of 5,786 political texts from Bangladesh, annotated on two separate dimensions: the sentiment (tone) of a text and its toxicity/discourse type (harmfulness). This lets users tell a harsh but civil criticism apart from an abusive attack. The texts were collected from ten source categories: YouTube, Facebook, Twitter, Instagram, TV interviews, talk shows, newspapers, Reddit, online portals and community forums. They were gathered using election and politics related keywords between March 13 and June 22 2026. Only the comment text was collected; usernames and other personal identifiers were not included. Every Bengali text comes with an English representation, produced with Google Translate and manually checked against the original. Each record is one row in an Excel file (POLITIX-BN.xlsx) and contains: • ID: record identifier • political_post_bn: Bengali text • political_post_en: English representation • source: source category • Gender, Occupation: metadata fields • sentiment_score / sentiment_label: 1 = Hostile, 2 = Negative, 3 = Neutral, 4 = Positive, 5 = Enthusiastic • toxicity_score / toxicity_label: 1 = Predatory/Threat, 2 = Hate Speech, 3 = Degrading/Insult, 4 = Antagonistic/Troll, 5 = Objective/Matter-of-fact, 6 = Constructive/Civil, 7 = Affirmative/Supportive • content_theme: dominant political theme (such as election and voting, party and leadership, price rise and economy, law and order, religion and identity, foreign influence, national projects and progress) Labels were assigned manually by native Bengali speakers following a written guideline, with a worst-first decision order for toxicity. Reliability was checked in two stages with an independent second annotator: a 500-instance pilot, then a validation of 150 unseen instances. Cohen’s κ was 0.321 for sentiment and 0.409 for toxicity/discourse. The label distribution is imbalanced. Neutral makes up 57.2% of sentiment labels. Objective/Matter-of-fact (51.5%) and Constructive/Civil (28.2%) dominate toxicity/discourse, while Predatory/Threat (12) and Hate Speech (11) are very rare. Baseline results from 17 machine-learning, deep-learning and transformer models on original and preprocessed Bengali and English text are reported in the accompanying article. The dataset can support research on Bengali sentiment analysis, toxicity and hate speech detection, content moderation, political communication and low-resource NLP. It contains abusive, threatening and hateful language, included only for developing and evaluating moderation tools. This language does not reflect the views of the authors. The labels describe text and should not be used to profile individual speakers.
  • The 1-to-9 Prime Matrix via the Digital Road Method: Resolving the Hawking Information Loss vs. Einstein-Quantum Conservation Debate in Space-Time
    This paper presents a rigorous computational and theoretical resolution to the long-standing Hawking Information Loss vs. Einstein-Quantum Conservation paradox within space-time horizons. Utilizing the Digital Road Method (DRM) as a structural data architecture framework, we map the text and spatial transitions of space-time as an engineered matrix, designated as the 1-to-9 Prime Matrix. To systematically validate this framework without relying on stochastic approximations, the empirical coordinate mass vector sequence generated via manual field expansion specifically VDRM = is subjected to formal non-parametric statistical hypothesis testing. A baseline Null Hypothesis (H₀), postulating that the single-digit modular matrix sequence behaves as an independent and identically distributed uniform random continuum with flat dissipation probability (P = 1 / 9), is rigorously tested against the Alternative Hypothesis (H₁). Under empirical evaluation, the coordinate grid forces a stark mathematical divergence from stochastic distributions. The discrete metric profiles yield a precise Chi-Square Goodness-of-Fit statistic (X²) of 12.0000 and a Likelihood Ratio Test value (G-Statistic) of 14.9094 across 8 degrees of freedom. To confirm absolute systemic replicability, a multi-layered Python algorithmic script was executed to simulate continuous spatial operations across infinite iterations. Governed by the rigid bounds of deterministic number theory and the deterministic Nonary Operator (M₉), the structural entropy drift settles at absolute zero (Error Coefficient = 0.0), forcing all open multidimensional trajectories to collapse securely into the fixed terminal boundary lock (M₉ ≡ 9). Consequently, the computational framework registers an unyielding Hit Ratio of 100% with zero mathematical variance. The empirical and algorithmic outcomes conclusively reject the chaotic dissipation model (H₀), mathematically proving that physical information passing through singular horizons cannot dissipate or leak into mathematical friction. The system achieves absolute structural containment, validating a closed-loop invariant framework for quantum conservation in cosmic bounds.
  • Lipidomics data of van Groningen et al Nat. Cell Biol. (Part 2/2)
    Part 2 out of 2. Here the untargeted lipidomics analysis of NRAS-Q61K cells and CMN nevus (biopsy) can be found.
  • Lipidomics data of van Groningen et al Nat. Cell Biol. (Part 1/2)
    Part 1 out of 2. Here both the untargeted lipidomics and the targeted oxPC/PC analysis of NRAS-Q61R can be found.
  • Human Zygotes at the 2PN Stage and the Same Embryos on Day 2 after ICSI: a Paired Image Dataset
    This dataset contains 776 brightfield images of 388 human embryos from 100 patients treated with intracytoplasmic sperm injection (ICSI) at the Infertility Therapy Center of Alzahra Hospital, Rasht, Iran, between September 2015 and October 2016. Each embryo was photographed twice: as a zygote at the two-pronuclear (2PN) stage, 16 to 17 h after injection, and again on day 2 of culture, 43 to 45 h after injection. The two images of each embryo are linked through laboratory records (labelled culture positions and the laboratory worksheet), not through visual similarity. Images were acquired with an Olympus IX70 inverted microscope and an Olympus DP71 CCD camera at ×150 and ×200 magnification. They are provided as BMP (264) or JPG (512) files in two folders, 2PN/ and Day2/. All images are 1280 × 1024 pixels except eight cropped images, whose dimensions are given in the metadata. Files are named P###_E##_2PN or P###_E##_D2, so the two images of an embryo share the same patient and embryo identifier. metadata.csv has one row per image, with the patient, embryo and image identifiers, the file name, the image dimensions and the embryologists' annotations: for 2PN images, the Z-score, off-centre position, off-centre juxtaposition, lack of juxtaposition, difference in pronuclear size and relative position of the pronuclei; for day-2 images, the number of blastomeres, the percentage of fragmentation and the embryo grade. patients.csv gives the serum β-hCG result of each patient's treatment cycle (45 positive, 55 negative). This result refers to the whole cycle, not to individual embryos, and should be analysed at the patient level. splits.csv assigns the patients to five predefined folds (20 patients and 77 or 78 embryos each), so that models can be evaluated without embryos of the same patient appearing in both training and test sets. make_splits.py regenerates the folds and can export the images and metadata of each fold into separate folders. README.md describes all files, variables and codes. The data can be used for developmental stage classification, detection and segmentation of pronuclei and blastomeres, automated pronuclear scoring and day-2 grading, and for studying how features at the 2PN stage relate to day-2 morphology. Patient identifiers are pseudonymised, and the images contain no identifying information. The study was approved by the ethics committee of Guilan University of Medical Sciences, and all patients gave written informed consent.
  • Paired microclimate–crop observations from 63 agrivoltaic studies (2018–2026)
    The complete extracted dataset underlying a systematic review of microclimate and crop response under agrivoltaic arrays. It contains 63 studies, identified by a search covering January 2016 to May 2026 and published between 2018 and 2026, retrieved from Web of Science, Scopus and IEEE Xplore, and 372 paired microclimate–crop observations drawn from them. One row per observation records the microclimatic parameter and its canonical parameter group, the agroclimatic zone, the spatial and temporal context, the value under the agrivoltaic array and under the open-field control, the coded direction of change, the associated plant response, and the yield, biomass or quality outcome. A second sheet holds one row per study with authors, year, country, crop, array configuration, tracking type, shading level, module type and land-equivalent ratio. Three legend sheets map reported parameter names, site descriptors and study identifiers to their canonical forms. The unit of analysis is the observation rather than the study: a single study contributes several observations, so counts are reported at both levels throughout the associated article. Directions are coded as decrease, increase, no change, mixed, or not reported.
  • Automated Capping/Decapping and Pipetting Device for Cryovial Based on Open-Source Firmware.
    This project presents an automated pipetting device capable of decapping and recapping a group of cryovials, as well as accurately transferring liquid into the vials. Specifically, the code files (the “Code” folder) contain the host PC control program. The “Marlin” folder includes the modified Marlin firmware; users can compile it in Visual Studio Code using PlatformIO, and detailed operating procedures are provided in Section 6.1. The “SLDPRT” folder contains the SolidWorks source files of the present design, which can be further modified by developers. The “STL” folder provides the STL versions of the design files, which can be directly used for 3D printing. To ensure structural strength and durability, the Ratchet Linkage Shaft is printed in PA6-CF with an infill density of 50%, whereas all other parts are printed in PLA with an infill density of 90%.
  • GenAI_Pakistan
    This data is for Synthetic intimacy at scale: GenAI, authenticity, and the redistribution of relational labour in influencer communication
  • Corporate AI Safety Governance and Firm Productivity
    The initial sample consists of Chinese A-share listed firms from 2019 to 2025. The starting year corresponds to the establishment of China’s National New Generation Artificial Intelligence Governance Expert Committee and the issuance of the Governance Principles for a New Generation of Artificial Intelligence, which made AI safety governance a core topic of national policy and marked the beginning of China’s systematic governance framework. We exclude firms designated as Special Treatment at any time during the sample period, firms in the financial industry , and observations with missing values for the relevant variables, including those for which one-year-ahead TFP cannot be estimated. All continuous variables are winsorized at the 1st and 99th percentiles to limit the influence of outliers. The final sample contains 18,509 firm-year observations for 4,375 firms. Patent texts are obtained from the Intellectual Property Rights Database (IPRDB). Annual reports and corporate social responsibility (CSR) reports are collected from CNINFO, the information disclosure platform designated by the China Securities Regulatory Commission . Official news texts and financial data are obtained from the China Stock Market and Accounting Research (CSMAR) database.
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