Chen, Jianyong

6 files · 1.5 GB · gzipdeclared

A first sequence of the Ae. speltoides B chromosome has been available since 2020 (RUBAN et al. 2020b), but this assembly represents ~16% of the B only and thus cannot be used to uncover B-encoded genes. Now, high-molecular-weight DNA from +B leaf tissue of the clonally propagated +B plant was used to generate a chromosome-scale genome assembly. A total of 154 Gb of PacBio HiFi reads and 36.4 Gb of Nanopore reads (>25 kb) were generated for primary assembly using hifiasm (Cheng et al. 2026). The resulting 5.47 Gb assembly achieved 93.7% BUSCO completeness (contig N50 = 17.1 Mb). Approximately 104 Gb of Hi-C sequencing data derived from leaf tissue of the same +B plant were employed to scaffold the primary contigs. The assembly yielded eight large scaffolds (398-835 Mb), each displaying a characteristic Rabl configuration. Alignment of these scaffolds to the reference genome of Ae. speltoides accession AEG-9674-1 without B chromosome (Avni et al. 2022) revealed that seven of the eight scaffolds showed strong synteny with the standard A chromosomes 1S-7S. To determine whether the remaining large scaffold corresponded to the B chromosome, we generated ~60 Gb of whole-genome sequencing (WGS) data from 0B AR-derived lateral root tissue of the same plant, as well as approximately 36 Gb of WGS data from +B leaf tissue. Comparative read-mapping analyses showed that the eighth scaffold exhibited normal sequencing coverage in +B leaf-derived data but substantially reduced coverage in 0B AR-derived data. Thus, the 398 Mb scaffold represents the B chromosome, accounting for 69% of its size as estimated by flow cytometry. Additionally, 4.81 Gb of contigs were assigned to the seven pairs of A chromosomes, representing 91% of their estimated size (1C=5.27 Gb). Consequently, we produced a high-quality chromosome-scale assembly of Ae. speltoides carrying B chromosomes. To identify genes associated with the B chromosome elimination process, RNA-seq was performed across developmental stages and different tissues in which B chromosome behavior differs. Using all +B RNA-seq datasets, we annotated the Ae. speltoides genome assembly containing the B chromosome. This annotation identified 59,981 transcripts and 47792 protein-coding genes on the seven A chromosomes and 5,940 transcripts and 4,196 protein-coding genes on the B chromosome.

Madhusudan, Gujral

6 files · 29 MB · parquetdeclared

Large language models (LLMs) are trained on massive, publicly available text datasets comprising trillions of tokens, enabling them to excel at general language tasks like next-token prediction. However, LLMs often struggle with domain-specific prompts, exhibiting reduced accuracy or generating inaccurate information (hallucinations). This is because they lack sufficient subject matter expertise. Two primary approaches exist to address this limitation for augmenting LLMs knowledge: Retrieval-Augmented Generation (RAG) and fine-tuning. This presentation focuses on fine-tuning smaller LLMs with domain-specific instruct datasets using the LoRA (Low-Rank Adaptation) technique on Gaudi hardware. We will leverage publicly available LLMs and datasets from the Hugging Face Hub for this demonstration. Though it is possible to fine tune LLMs with plain text data - sourced from documents, articles, and other materials.

Krajnc, Matej · Comi, Troy · Miao, Siqi · et al.

10 files · 25 GB · csv, zipdeclared

This dataset accompanies the manuscript "A Controlled in Silico Benchmark for GNN Prediction of Tissue Dynamics." It contains model prediction outputs, trained checkpoints, train/validation/test splits, spring-embedding outputs, generated analysis figures, analysis tables, and manuscript-specific diagnostic outputs used to reproduce the post-prediction analyses and figures. The dataset is distributed as logical ZIP archives with file-level and archive-level SHA-256 checksums. For questions, contact Tomer Stern at tomers@umich.edu.

MENEGUZZO, FRANCESCO · Zabini, Federica

4 files · 146 KB · csvdeclared

This record contains the de-identified, analysis-ready dataset and Python analysis code associated with a school-based quasi-experimental pilot study on therapist-guided forest therapy and persistent anxiety symptoms in adolescents. The study involved two fourth-year high-school classrooms in Cecina, Tuscany, Italy: one intervention classroom that attended four therapist-guided forest therapy sessions in a coastal pine forest, and one control classroom that followed usual school activities. The dataset includes anonymized student codes, classroom allocation, SCAS total raw scores and derived reduction scores across repeated assessments, POMS-A acute mood-state variables for the intervention classroom, exploratory post-intervention nature-exposure and connectedness variables, and exploratory school-performance variables. The repository includes four files: 1. forest_therapy_adolescent_anxiety_dataset.csv: de-identified analysis-ready dataset. 2. README_forest_therapy_adolescent_anxiety_dataset.txt: dataset metadata and variable descriptions. 3. analyze_forest_therapy_adolescent_anxiety.py: Python script used to reproduce the main analyses and generate analysis outputs. 4. README_analyze_forest_therapy_adolescent_anxiety.txt: operational guide for running the analysis script and interpreting the output files. The dataset uses semicolon-separated values. Missing values are encoded as NaN and must not be interpreted as zero. Because the study involved minors, item-level questionnaire responses and more granular school records are not shared; only de-identified and analysis-ready variables compatible with privacy, ethical approval, and consent constraints are provided.

Lopez-Gomez, Ignacio

2 files · 45 GB · gzipdeclared

Trained GenFocal model checkpoints. This record contains checkpoints for GenFocal: Checkpoints for the Diffusion-based Super-Resolution model (~8.15 GiB) CHeckpoints for the Flow Matching Debiasing model (~36.45 GiB)

Bakare, Akeem

1 files · 34 KB · gzipdeclared

Contig-ARG-Linkage Reproducible Snakemake pipeline that links antibiotic resistance genes to bacterial hosts in metagenomic data. For each sample, it assembles reads (MEGAHIT), detects ARGs (BLASTn vs MEGARes), classifies contigs (Kraken2), and joins by contig ID. Pinned envs, checksummed databases, container builds, and CI-tested on synthetic data.

Soltes, Julian

3 files · 12 MB · csv, pdfdeclared

This paper presents a non-parametric topography of the cosmological landscape, following the principle of maximum entropy to map the relative probability of all isotropic spacetime configurations. The topography is defined as an 11-D probability distribution, derived from a maximally unbiased ensemble of solutions to the Einstein Field Equations (EFE). Uncertainty prevents infinite precision, blurring the ensemble to quantify the relative likelihood of any physical microstate. The result provides a statistical foundation for the manifestation of our universe and its contents, described by probabilities and their respective gradients. This assumes unconstrained numerical coverage of the EFE landscape, mapping mathematically valid solutions that may violate parametric energy conditions. Uncertainty distorts the boundaries between these exotic states and the canonical phase, rationalizing their existence within our universe as quantifiable improbabilities. Resources: The computational implementation and main data ensemble are attached here, as well as maintained at: https://github.com/jgsoltes/Universe-KDE Researchers are encouraged to apply the QUASAR optimizer to their own high-dimensional or non-convex function landscapes. Source code and documentation are maintained at: https://github.com/jgsoltes/hdim-opt

Stein, Samuel

5 files · 139 MB · gzipdeclared

Raw experimental dataset accompanying the paper "Calibration-Conditioned FiLM Decoders for Low-Latency Decoding of Quantum Error Correction Evaluated on IBM Repetition-Code Experiments." This dataset contains repetition-code experiments executed on three IBM Quantum processors -- ibm_kingston, ibm_pittsburgh, and ibm_fez. It comprises 352 hardware snapshots spanning code distances d = 3, 5, 7, 9, 11, syndrome-round counts r = 1 to 11, and both the X and Z logical bases. Each snapshot runs several repetition-code chains in parallel and carries the device calibration data captured at execution time, totalling several million measurement shots. All data is provided raw, exactly as returned by the hardware -- no machine-learning processing or sparsification is applied -- and is anonymized (no IBM Runtime job identifiers are released). CONTENTS - ibm_kingston.tar.gz, ibm_pittsburgh.tar.gz, ibm_fez.tar.gz per-device archives, each unpacking to <device>/d<D>_r<R>/job_<n>/ - index.csv one row per snapshot: path, backend, d, rounds, basis, logical_states, n_chains, shots - README.md full description of the layout and field definitions Each job_<n>/ directory contains: - info.json experiment parameters (device, d, rounds, basis, states, shots, n_chains) - calibration.json the device calibration snapshot at execution time (T1, T2, gate and readout error rates, coupling map) - circuit_state0.qasm, circuit_state1.qasm transpiled circuits as executed - bitstrings.json raw per-shot measurement records for every parallel chain USAGE Because each snapshot stores its own calibration data, the per-device and per-(d, r, basis) structure used in the paper is recoverable by filtering index.csv. The same calibration is consumed by both the FiLM decoder (via its calibration-graph encoder) and the modified MWPM baseline (via its detector-graph edge weights). Github to be updated for corresponding experiments on approval. Please contact Samuel Stein (samuel.stein@pnnl.gov) if you need any information or source docs before hand.

Hackl, Jürgen

6 files · 132 MB · parquet, tiffdeclared

EuroFlood is an open, cloud-native index over the JRC/Copernicus CEMS-EFAS Satellite-Derived Flood Depth Maps for Europe (Betterle & Salamon, 2025; CC-BY-4.0) - ~3,280 satellite-derived observed flood-depth maps across Europe, 2015-2024. The bundle is a sparse Cloud-Optimized GeoTIFF encoding, per pixel, the set of flood events that inundated it, plus a combo_id -sorted GeoParquet dictionary and a small events table. Query by region and time via HTTP range reads (GDAL /vsicurl + DuckDB) to retrieve matching events, then fetch only the source depth rasters needed. Built with the open-source EuroFlood Python package ( pip install euroflood ).

Bojarski, Krzysztof Kamil

1 files · 66 MB · gzipdeclared

This repository contains structural models and molecular dynamics input files for complexes of cathepsins B, S, and K with three glycosaminoglycan-like ligands: naphthalene-1,3,6-trisulfonate (NTS), amide-linked bis(naphthalene disulfonate) (BNS), and suramin. Initial protein and ligand structures used for molecular docking are provided in AutoDock3 format. For each cathepsin-ligand complex, the three most populated docking clusters are included, with three representative binding poses per cluster. The repository further contains system topologies and initial coordinates for molecular dynamics simulations in AMBER format ( .parm7 and .rst7 ), ligand library files required for tleap, molecular dynamics input files, and scripts used for post-processing and analysis of the MD trajectories.

Fobbe, Sean

16 files · 1.4 GB · csv, pdf, zipdeclared

&Uuml;berblick Das Corpus des deutschen Bundesrechts (C-DBR) ist eine möglichst vollständige Sammlung der konsolidierten Fassungen aller Gesetze und Verordnungen auf Bundesebene. Der Datensatz nutzt als seine Datenquelle das amtliche Internetangebot www.gesetze-im-internet.de des Bundesministeriums der Justiz und wertet dieses vollständig aus. Bitte lesen Sie zuerst das beiliegende Codebook! Es enthält wichtige Informationen zur korrekten Nutzung des Datensatzes. Es hilft auch bei der Entscheidung, welche Variante für Sie am besten geeignet ist. In der Regel empfehle ich für quantitative Forschung die CSV-Dateien und für traditionelle Forschung die PDF-Sammlung. Um das Gesetzgebungsverfahren näher zu beleuchten können Sie zusätzlich auf folgende Datensätze zurückgreifen (jeweils mit Links auf vergleichbare Datensätze anderer Autor:innen): Corpus der Drucksachen des Deutschen Bundestages (CDRS-BT) Corpus der Plenarprotokolle des Deutschen Bundestages (CPP-BT) Aktualisierung Dieser Datensatz wird ca. alle 3 Monate aktualisiert. Benachrichtigungen über neue und aktualisierte Datensätze veröffentliche ich immer zeitnah auf Mastodon unter @seanfobbe@fediscience.org NEU in Version 2026-07-09 Vollständige Aktualisierung der Daten Ausführung der Pipeline in Userland im Container Neues Skript für Zenodo Upload Eckdaten Stichtag: 9. Juli 2026 Umfang: 6.124 Bundesgesetze und -verordnungen der Bundesrepublik Deutschland Formate: CSV, PDF, EPUB, TXT und XML Features Einfache Nutzung für statistische Analysen mit CSV-Dateien Bis zu 42 Variablen in den CSV-Varianten Fortlaufende Aktualisierung Urheberrechtsfreiheit Sowohl für traditionelle Rechtsanwender als auch für Legal Tech-Anwendungen geeignete Formate (CSV, PDF, EPUB, TXT und XML) Umfangreicher Compilation Report um den Erstellungs-Prozess zu erläutern Hochauflösende Diagramme und deskriptive Tabellen für alle Zwecke Diagramme in PDF (Druck) und PNG (Web) verfügbar, Tabellen als menschen- und maschinenlesbares CSV Vollständiges tabellarisches Verzeichnis aller Rechtsakte und der vom BMJV gebrauchten Abkürzungen Netzwerk-Strukturen für alle Rechtsakte und Visualisierungen für über 1000 Rechtsakte (experimentell) Veröffentlichung des Source Codes Source Code und Compilation Report Der gesamte Erstellungs-Prozess ist vollautomatisiert und detailliert dokumentiert. Mit jeder Kompilierung des vollständigen Datensatzes wird auch ein umfangreicher Compilation Report in einem attraktiv designten PDF-Format erstellt (ähnlich dem Codebook). Zudem werden Robustness Checks auf Vollständigkeit und Plausibilität durchgeführt und in einem separaten Bericht dokumentiert. Der Compilation Report enthält den Code für die vollständige Pipeline, dokumentiert relevante Rechenergebnisse, gibt sekundengenaue Zeitstempel an und ist mit einem klickbaren Inhaltsverzeichnis versehen. Er ist zusammen mit dem Source Code hinterlegt. Wenn Sie sich für Details des Erstellungs-Prozesses interessieren, lesen Sie diesen bitte zuerst. Der vollständige Source Code - sowohl für die Erstellung des Datensatzes, als auch für das Codebook - ist öffentlich einsehbar und dauerhaft erreichbar im wissenschaftlichen Archiv des CERN unter diesem Link hinterlegt: https://zenodo.org/doi/10.5281/zenodo.4072934 Kryptographische Signaturen Die Integrität und Echtheit der einzelnen Archive des Datensatzes sind durch eine Zwei-Phasen-Signatur sichergestellt. In Phase I werden während der Kompilierung für jedes ZIP-Archiv, das Codebook und die Robustness Checks Hash-Werte in zwei verschiedenen Verfahren (SHA2-256 und SHA3-512) berechnet und in einer CSV-Datei dokumentiert. In Phase II werden diese CSV-Datei und der Compilation Report mit meinem persönlichen geheimen GPG-Schlüssel signiert. Dieses Verfahren stellt sicher, dass die Kompilierung von jedermann durchgeführt werden kann, insbesondere im Rahmen von Replikationen, die persönliche Gewähr für Ergebnisse aber dennoch vorhanden ist. Die während der Kompilierung des Datensatzes erstellte CSV-Datei mit den Hash-Prüfsummen ist mit meiner persönlichen GPG-Signatur versehen. Der mit dieser Version korrespondierende Public Key ist sowohl mit dem Datensatz als auch mit dem Source Code hinterlegt. Er hat folgende Kenndaten: Name: Sean Fobbe (fobbe-data@posteo.de) Fingerabdruck: FE6F B888 F0E5 656C 1D25 3B9A 50C4 1384 F44A 4E42 Kein Urheberrecht: Public Domain An den Normtexten und Metadaten besteht gem. § 5 Abs. 1 UrhG kein Urheberrecht, da sie amtliche Werke sind. § 5 UrhG ist auf amtliche Datenbanken analog anzuwenden (BGH, Beschluss vom 28.09.2006 - I ZR 261/03, "Sächsischer Ausschreibungsdienst"). Alle eigenen Beiträge (z.B. durch Zusammenstellung und Anpassung der Metadaten) und damit den gesamten Datensatz stelle ich gemäß einer CC0 1.0 Universal Public Domain License vollständig urheberrechtsfrei. Disclaimer Dieser Datensatz ist eine private wissenschaftliche Initiative und steht in keiner Verbindung zu Behörden, Gerichten oder anderen öffentlichen Stellen der Bundesrepublik Deutschland. Alternativen [Ab 10.06.2019, nur XML] Beckedorf, Janis/Coupette, Corinna/Hartung, Dirk. 2020. "gesetze-im-internet: A daily archive of https://www.gesetze-im-internet.de". GitHub. https://github.com/QuantLaw/gesetze-im-internet [&Auml;nderungsgesetze] Wehrmeyer, Stefan/Semsrott, Arne/Filter, Johannes. 2021. "OffeneGesetze.de ist eine zivilgesellschaftliche, ehrenamtliche Plattform für amtliche Gesetzesblätter". Open Knowledge Foundation. https://offenegesetze.de/ [Alte Rechtsakte] Open Knowledge Foundation. 2013. "Bundesgit". GitHub. https://github.com/bundestag/gesetze Weitere Open Access Veröffentlichungen (Fobbe) Website - www.seanfobbe.de Open Data - zenodo.org/communities/sean-fobbe-data/ Source Code - zenodo.org/communities/sean-fobbe-code/ Volltexte regulärer Publikationen - zenodo.org/communities/sean-fobbe-publications/ Kontakt Fehler gefunden? Anregungen? Kommentieren Sie gerne im Issue Tracker oder kontaktieren Sie mich über www.seanfobbe.de

Chander, Aishwarya

2 files · 8.7 GB · gzip, zipdeclared

Analysis code and processed data for the manuscript: "Multiple myeloma and therapy reshape the bone marrow niche to durably constrain immune reconstitution and vaccine responsiveness." This repository accompanies a longitudinal multi-omic study of immune dysfunction in multiple myeloma (MM). Matched bone marrow and peripheral blood from MM patients were profiled across diagnosis, induction, autologous stem cell transplant (ASCT), and recovery, together with matched healthy donors and vaccine response subcohorts. The analyses show that the tumor imposes a compartment specific immune program; marrow-restricted metabolic, inflammatory, and cytotoxic-effector changes not mirrored in blood; and, that adaptive immune reconstitution remains impaired up to two years post-ASCT. Half of patients failed to mount IgG responses to a high dose nonadjuvanted influenza vaccine, a defect overcome by the LNP adjuvanted COVID mRNA vaccine. Contents: Single cell RNA-seq (BMMC and PBMC), flow cytometry, Olink proteomics, and MSD cytokine analysis pipelines, plus the notebooks generating all manuscript figures. Processed/derived data needed to reproduce the figures are included; raw sequencing data are deposited in GEO.

Vera, Lourdes

31 files · 4.6 MB · csv, geojson, pngdeclared

Data, analysis scripts, and derived outputs reproducing the setback analysis between occupied buildings and active oil and gas wells in Karnes County, Texas, using public data (Texas Railroad Commission well locations; FEMA/ORNL USA Structures building footprints; and U.S. Census TIGER/Line block groups and 2020-2024 American Community Survey). The pipeline runs offline in Python (geopandas) and reproduces every reported distance, summary statistic, table, and figure in the associated article. This package reproduces and updates Chapter 3 of the author's doctoral dissertation: Vera, Lourdes (2022), "Environmental Data Justice in Action: Civically Valid Air Monitoring Near Oil and Gas Extraction in the Eagle Ford Shale Play," Ph.D. dissertation, Northeastern University, Boston, MA.

Wareesri, Prapassorn · Ieamvijarn, Subunn

14 files · 1.7 MB · csvdeclared

Dataset and replication code for the paper "The Regime-Dependent Value of Macroeconomic Information in Gold Futures Volatility Forecasting: A HAR-Machine Learning Comparison on COMEX" submitted to Investment Management and Financial Innovations. Data sourced from Yahoo Finance covering January 2014 to December 2025.

Amilon, Jesper

1 files · 38 KB · gzipdeclared

Version 1.0 of VerNFR, a Frama-C plugin for verifying non-functional requirements of C code and interface contracts. Release to accompany submission to ISoLA2026 See the Readme for further details and instructions.

Walsh, Calum · Srinivas, Meghana · Stinear, Timothy · et al.

100 files · 2.7 GB · gzip, tsvdeclared

GROND (Genome-derived Ribosomal OperoN Database) A quality-checked and publicly-available database of 16S-ITS-23S RRNA operon sequences and their constituent 16S and 23S genes. Based on GTDB release R232.

Haghbin, Kourosh

7 files · 121 KB · csv, xlsxdeclared

Supplementary code and data for the Master's thesis "The Influence of Green Infrastructure on the Urban Acoustic Environment: A Seasonal Noise Analysis in Bochum" (TU Dortmund University, 2026). The repository contains Python scripts implementing the full statistical analysis pipeline: site-level data assembly, Ordinary Least Squares (OLS) regression, and Multiscale Geographically Weighted Regression (MGWR) of BirdNET-derived normalised Shannon bird diversity (BN_H) against acoustic and structural green infrastructure predictors across 118 spring morning monitoring sites in Bochum, Germany. The primary script ( run_ols_mgwr_dawn.py ) implements the four-predictor model (dB, NDSI, AEI, and GI Tier; OLS R² = 0.319, MGWR R² = 0.796), selected as the primary model based on AICc (&Delta;AICc = -105.70 over the five-predictor alternative). A comparison script ( run_ols_mgwr_area.py ) implements the five-predictor model including log-transformed GI polygon area (OLS R² = 0.333, MGWR R² = 0.895). All analyses are implemented from scratch in Python 3 using NumPy and Pandas, without proprietary GIS or statistical libraries. The site-level analytical dataset (Dawn_4to9_Analysis_Data.xlsx, n = 118 sites, 04:00-09:00 dawn chorus window) is included to enable full reproduction of reported results.

Hagen, Karl · Zieher, Thomas · Stary, Ulrike · et al.

21 files · 6.6 MB · csv, pdfdeclared

Groundwater and landslide displacement records of the Eggerberg slope (Gradenbach landslide, Carinthia, Austria) Austrian Research Centre for Forests (BFW) Institute for Natural Hazards, Unit of Torrent Process & Hydrology K. Hagen, T. Zieher, U. Stary&sbquo; E. Lang, S. Riedl, G. Priesch, J. Pichler, J. Rojacher First published June 2026 Contact: wasser.naturgefahren@bfw.gv.at Overview This dataset documents long-term hydrogeological and displacement monitoring at the deep-seated rock slide Eggerberg, situated in the Gradenbach catchment (Carinthia, Austria). The active mass movement covers approximately 2 km² and reaches depths exceeding 130 m. Owing to its interaction with the Gradenbach torrent system, the instability represents a significant natural hazard for nearby settlements in the Möll Valley. The dataset includes groundwater level and temperature measurements, as well as landslide displacement records collected by the Austrian Research Centre for Forests (BFW). It represents one of the longest continuous hydrogeological and geotechnical monitoring programs of a deep-seated gravitational slope deformation in the European Alps. It extends the existing dataset published in Hormes et al. (2026) by data of several boreholes, not used in the publication. Available groundwater temperature records were compiled and added in the borehole records. Furthermore, the displacement record of the extensometer was reset to zero after the data gap from 1995 to 1999. Dataset Description Groundwater monitoring Groundwater levels were monitored in 15 boreholes including several paired installations designed to observe groundwater conditions in different depth horizons and aquifer systems. Monitoring of the goundwater levels started in 1979, using manual cable light-plummet measurements with an accuracy of approximately 1 cm, and ended in 2024. In the beginning, measurements were generally performed every two weeks, since 1998 usually weekly. Groundwater temperature was measured between 1998 and 2015 with a sensor accuracy of 0.1°C. Continuous digital monitoring of groundwater level and temperature is additionally available for selected boreholes from July 2007 to December 2024 using OTT Orpheus Mini pressure probes. The observation series reveal the presence of approximately four hydrogeologically distinct aquifers within the moving rock mass. Landslide displacement monitoring Landslide displacement was monitored using a wire extensometer installed across the Gradenbach ravine. The instrument measured changes in the distance between the moving landslide mass and the comparatively stable opposite valley flank. The observation record extends from May 1979 to April 2024 and includes the same principal data gap between 1996 and 1998. Initially, measurements were recorded using analogue strip-chart systems and later digitized. In 2006, the monitoring station was upgraded with a continuous digital acquisition system (Thalimedes). To reduce short-term thermal effects caused by steel-wire expansion and contraction, the published dataset contains daily aggregated displacement values. All records (groundwater level and temperature, landslide displacement) were generally quality-controlled and checked for outliers and plausibility before publication. However, no warranty is given regarding their accuracy, completeness, or fitness for any particular purpose. Data Structure Groundwater Files Each borehole is provided as an individual CSV file (GRD-GWL-[borehole number]): • Column 1: Date (YYYY-MM-DD) • Column 2: Groundwater temperature (°C) • Column 3: Groundwater level below ground surface (m) Missing or unreliable values are coded as 9999. Groundwater levels are reported as negative values relative to the ground surface. Extensometer File The landslide displacement dataset is provided as a single CSV file (GRD_EXT.csv): • Column 1: Date (YYYY-MM-DD) • Column 2: Landslide displacement (cm), expressed as reduction of the distance between canyon slopes • Column 3: Measurement and data-quality code The PDF document 'GRD_Zenodo-V1-20260701.pdf' provides site information, methods, data gaps, and corrected observations. The ancillary document 'monitoring_data_gradenbach.html' provides minimal code snippets for working with the data in R. It further includes interactive plots of the data for visual inspection. Scientific R elevance The Gradenbach-Eggerberg dataset provides a unique long-term record enables the investigations of groundwater-controlled slope acceleration processes, and temporal trends in aquifer behavior. The dataset therefore constitutes an important resource for landslide process research, hazard assessment, hydrogeological investigations, and model validation.

Robert Koch-Institut

9 files · 54 MB · csv, pdf, zipdeclared

Der Datensatz "Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland" des Robert Koch-Instituts dokumentiert die tägliche intensivmedizinische Versorgungslage seit der COVID-19-Pandemie. Basierend auf Meldungen aller intensivbettenführenden Krankenhäuser in Deutschland erfasst das DIVI-Intensivregister Echtzeitdaten zu belegten und freien Intensivbetten. Die Erhebung differenziert nach Altersgruppen, Regionen und Versorgungsstufen. COVID-19-Fälle auf Intensivstationen werden gesondert ausgewiesen. Die Daten stehen aggregiert auf Bundes-, Landes- und Kreisebene zur Verfügung. Damit bildet der Datensatz eine Grundlage für die Überwachung von Kapazitäten, die Koordination von Behandlungskapazitäten und politische Entscheidungsprozesse während der Pandemie und darüber hinaus.