Allaert, Reinoud A. · Stienen, Eric W.M. · Lens, Luc · et al.

6 files · 125 MB · csv, gzipdeclared

HG_JUVENILE - Juvenile herring gulls (Larus argentatus, Laridae) hatched at the southern North Sea coast (Belgium) is a bird tracking dataset published by the Centre for Research on Ecology, Cognition and Behaviour of Birds at Ghent University and the Research Institute for Nature and Forest (INBO) . It contains animal tracking data for the project/study HG_JUVENILE , using trackers developed by Interrex ( http://www.interrex-tracking.com ). The study has been operational since 2022. In total 204 individuals of European herring gull ( Larus argentatus ) have been tagged. 150 individuals were raised from egg by Ghent University researchers at the Wildlife Rescue Center in Ostend, completed several cognitive and behavioural tests when approximately three weeks old, and were released in the IJzermonding, Nieuwpoort (Belgium). 54 additional individuals were tagged and released in the wild to collect baseline data. The main goal of the study is to link cognitive performance in the lab to behaviour in the wild. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see https://github.com/inbo/bird-tracking ). Files Data in this package are exported from Movebank study 2217728245 . Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json . Files are structured as a Frictionless Data Package . You can access all data in R via https://zenodo.org/records/21279427/files/datapackage.json using frictionless . datapackage.json : technical description of the data files. HG_JUVENILE-reference-data.csv : reference data about the animals, tags and deployments. HG_JUVENILE-gps-yyyy.csv.gz : GPS data recorded by the tags, grouped by year. Acknowledgements This dataset was collected using infrastructure provided by the ERC and Ghent University.

van Gestel, Kees

14 files · 192 KB · csvdeclared

Data files on cadmium, copper, lead and zinc concentrations in soil, H2O- and CaCl2-extracts of soil and in springtails exposed to complex mixtures of chloride salts of these metals, before and after leaching the soil to remove the chloride counterion. Also included are data on the effects of the metals, single and in mixtures on the survival, growth and reproduction of the springtails.

Miszczyszyn, Jakub · Radoń, Radosław

20 files · 2.1 GB · csv, netcdfdeclared

Monthly 1-km SPI, SPEI and SRI drought-indicator rasters for Poland (1995-2024) This dataset provides monthly gridded drought indicators for the entire territory of Poland at 1-km resolution for the period 1995-2024. Three complementary standardized indices are included: the Standardized Precipitation Index (SPI, precipitation-based), the Standardized Precipitation-Evapotranspiration Index (SPEI, based on the climatic water balance P - PET) and the Standardized Runoff Index (SRI, runoff-based). Each index is provided at five accumulation scales: 1, 3, 6, 12 and 24 months. Methods. Station indices were computed from IMGW-PIB precipitation and river-runoff observations and from AgERA5 potential evapotranspiration (used for SPEI). SPI and SRI were fitted with a gamma distribution and SPEI with a log-logistic distribution. Station values were then interpolated to a 1-km grid (EPSG:2180, PUWG 1992) by ordinary kriging. Elevation-assisted kriging (kriging with external drift) was evaluated by leave-one-out cross-validation but produced no net national improvement and was not adopted for the final product. File structure. Data are provided as CF-compliant NetCDF (CF-1.8), one file per indicator and accumulation scale (e.g. SPI_s06m_PL_1km_1995-2024_EPSG2180.nc ) . Each file has dimensions (time, y, x) with a regular monthly time axis (360 steps, 1995-01 to 2024-12) and the coordinate reference system stored as a grid_mapping variable. Months in which an index cannot be formed at the edges of the accumulation window are present as fill-valued (missing) layers, so the time axis is continuous; their completeness is documented in raster_index.csv . Contents. netcdf/ - the 15 index rasters; metadata/raster_index.csv - per-layer inventory with min/max/mean, missing-data fraction and a "present" flag; metadata/variables_dictionary.csv - variable definitions; metadata/mckee_classes.csv - the seven-class drought/wetness classification (McKee et al., 1993) with colours; CITATION.cff and checksums.md5 . Usage note. In GIS software the temporal dimension is read via the temporal/time controls (e.g. in QGIS: Layer Properties → Temporal → Dynamic Temporal Control, then the Temporal Controller); in Python the files open directly with xarray, with time parsed as dates. Coordinate reference system. EPSG:2180 (PUWG 1992 / Poland CS92). Map extents delineate the study area and do not necessarily depict accepted national boundaries.

Balaga, Venkata Krishna Rao · Chatziadi, Argyro · Ridvan, Ludek · et al.

69 files · 111 MB · csv, xlsxdeclared

Raw data obtained during work on comparison of the effect of different positional isomerism on the physicochemical properties of coamorphous forms. The solid forms were characterised using solid-state techniques such as XRD, mDSC, and FTIR. Moreoever, solubility tests, Intrinsic dissolution, powder dissolution, and stability tests were also conducted. The README file contains naming convention, structure of the data, etc. This research was supported by the project NETPHARM: New Technologies for Translational Research in Pharmaceutical Sciences, project ID CZ.02.01.01/00/22_008/0004607, co-funded by the European Union, and The Pharmaceutical Applied Research Center (The PARC).

Geisler, Jan · Rakhimberdiev, Eldar · Boom, Michiel P. · et al.

29 files · 124 MB · csv, shapefiledeclared

1. Many migratory birds now reach their Arctic breeding grounds earlier in order to keep pace with advancing springs and shifting nutrient peaks, either by departing earlier from non-breeding grounds or by travelling faster. For dark-bellied brent geese, there is limited potential to travel faster, as their migration to the Siberian breeding grounds is already among the fastest of Arctic geese and swans. Earlier departure would require reaching departure body mass earlier, either through a faster accumulation of energy stores during spring staging or via adjustments earlier in the annual cycle. 2. We examined long-term shifts in spring staging phenology and changes in winter and spring body mass trajectories of brent geese at the population level, with particular emphasis on the effects of winter temperature on body mass and spring body mass on departure timing. 3. We used more than five decades of body mass measurements from individuals caught in the United Kingdom and France, and in the Dutch Wadden Sea to reconstruct changes in spring and winter mass trajectories, respectively. These data were combined with over five decades of migration counts in the Netherlands and more than two decades of counts in Denmark to quantify changes in spring staging phenology. 4. We found that brent geese have not shifted their spring arrival in the Wadden Sea but have advanced departure timing. Furthermore, brent geese were heavier during and after milder winters, and have changed mass trajectories over recent decades. They no longer lose mass during winter and the second spring staging phase, and fuelling rates in the first spring staging phase have declined. Annual variation in body mass was not related to annual departure timing. 5. These results suggest that milder winters have relaxed energetic constraints and improved body condition in brent geese throughout the non-breeding season. Our findings highlight the importance of considering the full annual cycle when assessing how animals with limited capacity to adjust migration timing or speed respond to global change.

Martínez Zamora, Lorena · Castillejo Montoya, Noelia · Artés-Hernández, Francisco

2 files · 13 KB · csvdeclared

The aim of this work was to develop an innovative tomato cold soup fortified in bioactive compounds through the incorporation of UV-B-treated radish seeds. After a 20 kJ m-2 UV-B treatment, radish seeds increased their sulforaphene content by 30%. Different concentrations of UV-B-treated seeds (0, 0.5, 1.5, 3, and 5 g kg-1) were added to a chopped vegetables cold soup, mainly made of Kumato® cherry tomatoes as novelty, including pepper, cucumber, and garlic, which was stored for 8 days at 4 °C. Added seeds did not affect physicochemical quality attributes, microbial growth, nor sensory perception. Nevertheless, a dose-dependent behaviour was shown in glucoraphenin and sulforaphene content, according to concentrations of UV-B-treated seeds added. It was also appreciated after an in vitro digestion that the bioaccessible fraction of glucosinolates and isothiocyanates was kept constant throughout the refrigerated storage. The sulforaphene content of the soup increased by ~ 19% after 2 days at 4 °C, of which the 33% was bioaccessible (measured in vitro), and subsequently was degraded by ~ 20% after 8 days at 4 °C.

Lehtonen, Aleksi · Kupila, Taavi

5 files · 495 KB · csv, xlsxdeclared

Introduction: Increment cores were sampled across 17 different monoculture stands in Finland. Coring and annual ring width measurements were conducted in 2004 and 2005. Data is in 4 separate files based on tree species. Metadata file has been included as an excel file. This dataset was used in the following publication: Lehtonen, A., Lindholm, M., Hokkanen, T., Salminen, H., & Jalkanen, R. (2008). Testing dependence between growth and needle litterfall in Scots pine--a case study in northern Finland. Tree Physiology , 28 (11), 1741-1749. https://doi.org/10.1093/treephys/28.11.1741 This dataset is linked to [ Long-term litter fall data series from 34 boreal forest stands in Finland ]. Both datasets originate from partially overlapping study sites but include different measurements collected under the same field campaign. They should be considered complementary but independent datasets. Tree increment data has been used with litterfall data for statistical analysis by Lehtonen et al. (2008) and data collections has been described there. Increment core files: The widths of the annual growth rings are measured from the increment core samples with a precision of 0.01 mm. Metadata: Metadata file includes information on stand level, tree level and core level. README: Site level: - Location and tree stand information was measured 10-15 years prior to the increment coring. - Number of samples refer to total amount of annual rings measured from a stand and not how many cores were measured. For each tree, only 1 core was measured. Tree level: - No SocialStatus information available. Each tree's DBH and Height measurement year in a new column. Core level: - For each tree, only 1 core was sampled. sampleID is just a combination of siteID and TreeID. The data files dont have a column for sampleID. sampleID = TreeID. - PithOffset: If the core did not reach pith, samplers estimated how many rings were remaining until pith. Otherwise set as 0. - Heartwood boundary (additional column): Number of rings from the outermost ring until the heartwood boundary. Increment core files: - The increment core measurements were combined into files based on the tree species of the site. - File names: - Pinus_sylvestris_increment_core.csv - Picea_abies_increment_core.csv - Larix_sibirica_increment_core.csv - Larix_decidua_increment_core.csv

Edeh, Mark Bekweri · Nze, Nnenna Jennifer · Wofuru-Nyenke, Oroma King

2 files · 76 KB · csvdeclared

Country-year panel of 12 Gulf of Guinea coastal states (Nigeria, Ghana, Benin, Togo, Cote d'Ivoire, Cameroon, Guinea, Sierra Leone, Liberia, Gabon, Equatorial Guinea, Angola) observed annually from 2005 to 2024 (240 observations). Constructed from public secondary sources: maritime incident records (US National Geospatial-Intelligence Agency), fisheries production and export-value statistics (FAO), governance indicators (World Bank Worldwide Governance Indicators), and economic/demographic controls (World Bank World Development Indicators). Associated with the manuscript "Maritime Insecurity and Resource Revenue in the Niger Delta (Nigeria) and Gulf of Guinea: A Governance-Moderated Panel Analysis." See accompanying README for full variable dictionary and sourcing detail.

Pevec, Simon · Rubin, Tom · Gehauf, Sara · et al.

16 files · 23 MB · csvdeclared

# Raw Measurement Data - GRISI Sensor (PTB & IMT) # Linked to a publication: A Compact and Portable Quantum Principle-Based Pressure Calibration System # Authors: Simon Pevec, Tom Rubin, Sara Gehauf, André Kussicke, Christian Guenz, Constanze Schilder, Janez Setina, Franci Vode, Matej Njegovec, Vedran Budinski, Denis Donlagić This work is supported by the European Partnership on Metrology (22IEM04 MQB-Pascal) co-financed from the European Union's HORIZON Europe Research and Innovation Programme and by the Participating States, and by the Slovenian Research Agency (ARIS) under Grant P2-0368. -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This dataset contains raw measurement data from the GRISI fiber-optic pressure sensor experiments conducted at **PTB (Germany)** and **IMT (Slovenia)**, linked to reference values from PTB and IMT. ## Dataset Structure ### 1. PTB Measurements **Files:** - `PTB_GRISI-6-cycles.csv` GRISI sensor data (4× averaged, effective sampling rate 1 Hz). **Columns:** - `timestamp` - Timestamp in Unix format (seconds since 1970-01-01) - `time_h` - Time in hours (relative) - `dOPL_nm` - Optical path length difference from GRISI sensor - `temperature_GRISI` - Temperature measured by the GRISI sensor (°C) - `PTB_ref_data_pressure.csv` Reference pressure data from PTB standards (CPT9000 pressure sensors manufactured by Mensor (WIKA)). **Columns:** - `timestamp_unix` - Timestamp in Unix format - `time_h` - Time in hours (relative) - `p_ref1` - Pressure from reference sensor 1 (kPa) - `p_ref2` - Pressure from reference sensor 2 (kPa) - `p_ref3` - Pressure from reference sensor 3 (kPa) - `PTB_ref_data_temperature.csv` Reference temperature data from PTB standards (uncertainty (k = 2) of 0.7 mK at 296 K with respect to the ITS-90 (International Temperature Scale of 1990)). **Columns:** - `timestamp_unix` - Timestamp in Unix format - `time_h` - Time in hours (relative) - `T_ref1` - Temperature from reference sensor 1 (°C) - `T_ref2` - Temperature from reference sensor 2 (°C) ------------- ### 2. IMT Measurements This dataset contains 6 CSV files with raw measurement data acquired at IMT. All files share the same column structure: GRISI sensor data (4× averaged, effective sampling rate 1 Hz). **Columns:** - `timestamp` - Timestamp in Unix format - `t(min)` - Relative time in minutes - `dOPL(nm)` - Optical path length difference measured by the GRISI sensor (nm) - `T(K)` - Temperature measured by the GRISI sensor (Kelvin) **File groups:** - **`IMT_1_1.csv`, `IMT_1_2.csv`, `IMT_1_3.csv`** Three measurement cycles up to **300 kPa** performed in the temperature range **22.6 °C to 23.9 °C**. - **`IMT_2_1.csv`, `IMT_2_2.csv`, `IMT_2_3.csv`** Three measurement cycles up to **1000 kPa** performed in the temperature range **22.5 °C to 23.7 °C**. ------------- ### 3. IMT Measurements - Reference Instruments **9 additional files** containing reference pressure and temperature data from IMT instruments. Each file corresponds to one GRISI measurement file (same numbering). ### 3. IMT Measurements - Reference Instruments **9 corresponding reference files** (paired with GRISI files by number): - `IMT_ref_1_1.csv`, `IMT_ref_1_2.csv`, `IMT_ref_1_3.csv` - `IMT_ref_2_1.csv`, `IMT_ref_2_2.csv`, `IMT_ref_2_3.csv` **Columns:** - `Date` - Measurement date - `Time` - Measurement time - `P_Pace/kPa` - Pressure from Pace reference (kPa) - `T_Agilent/°C` - Temperature from Agilent instrument (°C) -------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------- ### 4. Constants and Coefficients - `Coefficients.csv` File containing the physical constants and coefficients used for calculating pressure from the measured optical path length difference (dOPL). Coefficients included: - CTE (K⁻¹) - R (J/mol·K) - L (m)- length L0 - B (ro_N) at 293.15 K (cm³/mol) - C density virial coefficient - Ar molar refractivity - br refractivity virial coefficient - Coefficient for pressure-induced deformation

Liu, Wei · Pham, Nguyen Hung · Verma, Chandra S. · et al.

2 files · 1.6 GB · csv, zipdeclared

CycPeptMPDB-4D: A Conformational Dynamics Dataset of Cyclic Peptides for Membrane Permeability Prediction CycPeptMPDB-4D is a large-scale structural dynamics dataset featuring atomistic molecular dynamics (MD) trajectories and 3D conformational ensembles for 5,160 structurally diverse cyclic peptides. It extends CycPeptMPDB by adding MD-derived conformations and physics-based molecular descriptors. This resource is designed to support the development of 3D and 4D (trajectory- or ensemble-based) deep learning models for predicting membrane permeability, bridging the gap between static 2D representations and the physical mechanisms of peptide-membrane interaction. A key feature of this dataset is the inclusion of simulations in both explicit water and hexane environments. This dual-solvent approach captures the "chameleon-like" behavior of cyclic peptides-their ability to adopt distinct conformational states to maximize stability in aqueous environments and minimize polar exposure in hydrophobic membrane cores. More details can be found here: (Link to be added upon publication) Dataset Structure The data is organized into solvent-specific directories containing structural information and a central metadata file: CycPeptMPDB-4D/ ├── Water/ 5,160 peptides │ ├── Trajectories/ *.pdb (100 frames per peptide) │ ├── Structures/ Representative conformations from clustering │ └── Logs/ Clustering analysis logs ├── Hexane/ 5,160 peptides │ ├── Trajectories/ *.pdb (100 frames per peptide) │ ├── Structures/ Representative conformations from clustering │ └── Logs/ Clustering analysis logs ├── CHCl3/ 6 peptides └── CycPeptMPDB-4D.csv metadata & molecular descriptors Update History 9-July-2026: Fixed stereochemical inconsistencies (D/L configuration errors), mainly in peptides with unnatural amino acids, BHF and TNH. Added a few more columns to CycPeptMPDB-4D.csv, and converted all units from nm to Å.

Cao, Shiyuan · Li, Yaning

8 files · 18 MB · csv, rardeclared

This repository provides the supporting materials for the manuscript "A Confidence-Guided Sports Multi-Object Tracking Method via Jersey Semantic Fusion." The archived materials include evaluation summaries, final tracking outputs, environment records, dataset mapping files, protocol reproduction materials, intermediate summary files, and revision evidence used to support the reported SportsMOT validation results. The reported formal results were obtained from the real detector, real frame-level semantic feature extraction, confidence partitioning, cascaded association, and TrackEval evaluation pipeline. The original public benchmark datasets, including SportsMOT, TeamTrack, SoccerNet Tracking, MOT17, and MOT20, are not redistributed in this repository and should be obtained from their original providers.

Michele, Felicia · Lim, Heinrich · Agustina, Felicia

2 files · 63 KB · csv, xlsxdeclared

This dataset contains survey responses collected through Google Forms for a study examining the role of inclusive education in supporting equality for persons with disabilities. The survey was conducted using a structured questionnaire with Likert-scale measurements. A total of 222 valid responses were collected from participants who had experience or interaction within inclusive education environments. The dataset includes indicators measuring: The Role of Inclusive Education (X1) Barriers to Inclusive Education Implementation (X2) Human Resource Quality (X3) Social and Environmental Support (X4) Reduction of Social Stigma (Y1) Access to Education for Persons with Disabilities (Y2) This repository contains: Raw survey data exported from Google Forms (.csv). Dataset used for analysis (.xlsx). SmartPLS analysis results, including convergent validity, discriminant validity, and path coefficient testing. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Personal identifiers have been removed to protect participant privacy. The dataset is provided for academic, educational, and research purposes.

Goerlitz, Luise · Tolksdorf, Kristin · Prahm, Kerstin · et al.

4 files · 126 KB · csv, pdf, zipdeclared

Im Datensatz "COVID-ARE-Konsultationsinzidenz" des Robert Koch-Instituts werden wöchentliche Inzidenzen von ambulanten Konsultationen mit akuter respiratorischer Erkrankung (ARE) und zusätzlicher COVID-19-Diagnose in Deutschland bereitgestellt. Über das syndromische Surveillance-Modul SEED-ARE werden aus Sentinelpraxen Daten von gesetzlich versicherten Patientinnen und Patienten mit einer akuten Atemwegserkrankung inklusive der jeweiligen ICD-10-Diagnosecodes elektronisch übermittelt. Die COVID-ARE-Konsultationsinzidenz wird pro 100.000 Einwohner und nach Altersgruppen ausgewiesen. Der Datensatz ermöglicht eine zeitnahe Einschätzung der Krankheitslast und unterstützt evidenzbasierte Entscheidungen im Infektionsgeschehen mit COVID-19.

Jones, Jason

3 files · 22 MB · csvdeclared

At what rate do individuals say they are X? Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence. They responded to many items of the form: Does <signifier> describe you today? The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28. The columns are as follows: signifier - a word, phrase or emoji yes_count - the number of respondents who answered yes (aggregated all-time). no_count - the number of respondents who answered no (aggregated all-time). prevalence_per_10k - an estimate of the prevalence per 10,000. If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier? The number is calculated as yes_count / (yes_count + no_count) * 10,000. earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent. Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling. latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent. Version created on 2026-06-24 — cumulative data. Version created on 2026-06-25 - cumulative data. Version created on 2026-06-26 - cumulative data. Version created on 2026-06-27 - cumulative data. Version created on 2026-06-28 - cumulative data. Version created on 2026-06-29 - cumulative data. Version created on 2026-06-30 - cumulative data. Version created on 2026-07-01 - cumulative data. Version created on 2026-07-02 - cumulative data. Version created on 2026-07-03 - cumulative data. Version created on 2026-07-04 - cumulative data. Version created on 2026-07-05 - cumulative data. Version created on 2026-07-06 - cumulative data. Version created on 2026-07-07 - cumulative data. Version created on 2026-07-08 - cumulative data. Version created on 2026-07-09 - cumulative data.

AKTIN-Notaufnahmeregister · Robert Koch-Institut

4 files · 104 KB · csv, pdf, zipdeclared

Im Datensatz "AKTIN – Daten zur Aufenthaltsdauer in Notaufnahmen" werden aggregierte Daten der Routinedokumentation aus einer Auswahl deutscher Notaufnahmen aus dem AKTIN-Notaufnahmeregister bereitgestellt. Anhand der Aufenthaltsdauer kann die Belastungssituation von Notaufnahmen abgeschätzt werden. Dies ermöglicht eine kontinuierliche und transparente Surveillance der Akutversorgungslage in deutschen Notaufnahmen. Dazu werden die aktuellen Daten mit einem Referenzmittelwert verglichen, um die Belastungssituation von Notaufnahmen zu erfassen. Der Datensatz enthält aggregierte Angaben zu Besuchszahlen, mittlerer Aufenthaltsdauer sowie Abweichungen vom Referenzwert.

Robert Koch-Institut

6 files · 429 KB · csv, pdf, zipdeclared

Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.

Robert Koch-Institut

6 files · 50 MB · csv, pdf, zipdeclared

Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).

Robert Koch-Institut

5 files · 12 MB · csv, pdf, zipdeclared

Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.

Robert Koch-Institut

4 files · 394 MB · csv, pdf, zipdeclared

Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.