cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17860841
title: ASAP CRN Cloud PMDBS bulk RNAseq Collection

description: We're excited to announce the v1.2.0 release of the Postmortem-derived Brain Sequencing bulk RNAseq Collection to the ASAP CRN Cloud as part of the v4.0.0 ASAP CRN Cloud Release.

There are four datasets in this collection as well as a cohort datasets of bulk RNAseq samples integrated across the individual Team contriubutions. 

Stay Tuned!
DOI: 10.5439/3007119
title: GOES-16 Data for LASSO-CACTI Overview Paper	

description: GOES-16 L1b satellite radiances have been obtained for the LASSO-CACTI case dates. Specifically, the period in the ARM subset is for select days in the period October 26, 2018 through March 15, 2019. These files were downloaded from Amazon Web Services using the GOES-2-Go library, https://blaylockbk.github.io/goes2go/_build/html/.
DOI: 10.15468/dl.d7c6fq
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chione cancellata, Chione beaui, Chione granulata, Venus cancellata, Venus cingenda, Venus dysera)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 90 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059279-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ce5q94
title: Occurrence Download

description: A dataset containing 82256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Listera ovata",
 "Year 2000-2024"
 ]
}

 The dataset includes 82256 records from 462 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059260-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spvqyp
title: Occurrence Download

description: A dataset containing 26385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 50.0",
 "DecimalLatitude is less than or equal to 55.0",
 "DecimalLongitude is greater than or equal to -105.0",
 "DecimalLongitude is less than or equal to -100.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 26385 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059280-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17981035
title: Copper nanoparticles – a promising additive for lubrication of hydrogen technology

description: RCF life and hydrogen content data
DOI: 10.5281/zenodo.17981036
title: Copper nanoparticles – a promising additive for lubrication of hydrogen technology

description: RCF life and hydrogen content data
DOI: 10.5439/3007091
title: WRF Simulation Data for LASSO-CACTI Overview Paper

description: A portion of the LASSO-CACTI simulation output was used in writing the LASSO-CACTI overview paper, which has been submitted to Geoscientific Model Development as of November 2025 by Gustafson et al. This product contains YAML files to be used in conjunction with the LASSO-CACTI Bundle Browser to download the specific WRF data used with each figure in the paper. This reduces the overall data downloaded so that the entire 2 PB data set is not needed.
DOI: 10.15468/dl.5hcrr6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chione compta, Chione compta meridionalis, Chione meridionalis, Venus compta)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059281-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5439/3007292
title: NCAR/EOL ISFS Data for LASSO-CACTI Overview Paper

description: 5 minute averages of surface meteorology and flux data collected by the NCAR/EOL Integrated Surface Flux System (ISFS) at 15 sites during the RELAMPAGO field campaign. These data have been quality-controlled and are available in NetCDF format. Winds reported by the sonic anemometers have been tilt corrected and rotated into geographic coordinates.

Data providence, citation, and acknowledgement

This ARM data set is a copy of v2.0 of the NCAR data set obtained on 6-Jun-2024 from https://doi.org/10.26023/ZPHJ-JW9W-2B0Y. The citation for the original data source is:

NCAR/EOL In-situ Sensing Facility, Oncley, S. 2021. NCAR/EOL ISFS Surface Meteorology and Flux Products, 5-minute. Version 2.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/ZPHJ-JW9W-2B0Y Accessed 06 Jun 2024.

In addition to the citation reference and any other acknowledgements, please acknowledge NCAR/EOL in your publications with text such as: "Data provided by NCAR/EOL under the sponsorship of the National Science Foundation. https://data.eol.ucar.edu/"
DOI: 10.5683/sp3/ugphbt
title: Vibrio pectenicida strain FHCF-3 is a causative agent of sea star wasting disease

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;More than ten years following the onset of the sea star wasting disease (SSWD) epidemic, affecting over 20 asteroid species from Mexico to Alaska, the causative agent has been elusive. SSWD killed billions of the most susceptible species, sunflower sea stars (&lt;em&gt;Pycnopodia helianthoides&lt;/em&gt;), initiating a trophic cascade involving unchecked urchin population growth and widespread loss of kelp forests. Identifying the causative agent underpins the development of recovery strategies. Here, we induced disease and subsequent mortality in exposure experiments using tissue extracts, coelomic fluid, and effluent water from wasting sunflower sea stars, with no mortality in controls. Deep sequencing of diseased sea star coelomic fluid samples from experiments and field outbreaks revealed a dominant proportion of reads assigned to the causative agent. Fulfilling Koch’s postulates, the pathogen, cultured from the coelomic fluid of a diseased sunflower sea star, caused disease and mortality in exposed sunflower sea stars, demonstrating that it is a causative agent of SSWD. This discovery will enable recovery efforts for sea stars and the ecosystems affected by their decline by facilitating culture-based experimental research and broad-scale screening for pathogen presence and abundance in the laboratory and field.&lt;/p&gt;
description: <b>Dryad version number:</b> 19
<b>Version status:</b> submitted
<b>Dryad curation status:</b> Published
<b>Sharing link:</b> http://datadryad.org/dataset/doi:10.5061/dryad.5mkkwh7g9
<b>Storage size:</b> 1190200
<b>Visibility:</b> public
DOI: 10.15468/dl.fazjdk
title: Occurrence Download

description: A dataset containing 290477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix alba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 290477 records from 2152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059255-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b47pq6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "Geometry POLYGON((-55.21729 -27.09948,-46.86768 -27.09948,-46.86768 -21.45435,-55.21729 -21.45435,-55.21729 -27.09948))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Knipolegus cyanirostris (Vieillot, 1818)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204550-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvekqw
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Primula clusiana Tausch",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 582 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002951-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txd4eh
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phlebia acerina Peck, Phlebia pallida (Berk. & M.A.Curtis) Ginns, Efibulella deflectens (P.Karst.) Zmitr.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 142 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324248-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqe37b
title: Occurrence Download

description: A dataset containing 24435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chromodorididae"
 ]
}

 The dataset includes 24435 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068590-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umf986
title: Occurrence Download

description: A dataset containing 3281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-117.82029 30.07833,-115.16736 30.07833,-115.16736 33.55728,-117.82029 33.55728,-117.82029 30.07833))",
 "HasGeospatialIssue is false",
 "TaxonKey is Bombus Latreille, 1802",
 "Year 2013-2023"
 ]
}

 The dataset includes 3281 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001483-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qxtaa
title: Occurrence Download

description: A dataset containing 33312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.80078 48.43102,6.30286 48.40477,6.5083 48.52133,6.56268 48.78425,5.98096 48.88567,5.79529 48.60204,5.80078 48.43102))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1980-1999"
 ]
}

 The dataset includes 33312 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324245-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgn8yc
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Ukraine",
 {
 "or" : [
 "IucnRedListCategory is CR",
 "IucnRedListCategory is EN",
 "IucnRedListCategory is VU",
 "IucnRedListCategory is NT",
 "IucnRedListCategory is LC",
 "IucnRedListCategory is DD",
 "IucnRedListCategory is NE"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 155 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170782-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsbqv7
title: Occurrence Download

description: A dataset containing 8929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((150.82603 -34.18358,151.34817 -34.18358,151.34817 -33.74123,150.82603 -33.74123,150.82603 -34.18358))",
 "TaxonKey is Lepidoptera",
 "Year 1960-2023"
 ]
}

 The dataset includes 8929 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019234-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qgn9w
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.2_1, CHN.2.1_1, CHN.2.1.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Emberiza rustica Pallas, 1776",
 "Year 2000-2022"
 ]
}

 The dataset includes 246 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068814-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28pkfh
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Montipora angulata (Lamarck, 1816)"
 ]
}

 The dataset includes 286 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135919-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvs4w5
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-103.13475 19.94195,-100.35747 19.94195,-100.35747 22.56245,-103.13475 22.56245,-103.13475 19.94195))",
 "TaxonKey is Canis Linnaeus, 1758",
 "Year 1960-2023"
 ]
}

 The dataset includes 217 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014960-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2smjkb
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fusicoccum phomiformis (Sacc.) Vanev & Aa",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125793-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpkjke
title: Occurrence Download

description: A dataset containing 329121 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Material citation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "Continent is South America",
 "Country is Colombia",
 "Geometry POLYGON((-71.92749 4.49497,-72.21313 5.21746,-72.69653 5.41436,-72.89429 5.6112,-73.37769 5.58933,-73.61938 5.80798,-74.01489 6.07023,-74.34448 6.26684,-74.54224 6.04838,-74.80591 5.10804,-74.87183 4.18824,-75.09155 3.26735,-75.28931 2.27975,-74.63013 1.66488,-73.46558 1.35737,-72.63062 1.44524,-71.72974 1.68684,-71.37817 2.58709,-71.44409 3.85946,-71.92749 4.49497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 329121 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170784-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74gwdx
title: Occurrence Download

description: A dataset containing 7878146 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-81.77753 -6.22408,-76.12975 -15.67547,-71.2888 -19.24855,-73.70927 -34.92402,-76.82131 -51.86735,-72.90245 -55.09466,-69.55988 -29.9678,-68.29202 -19.59433,-73.47875 -9.56665,-78.66549 -4.14939,-81.77753 -6.22408))"
 ]
}

 The dataset includes 7878146 records from 1449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068806-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6987968
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.<br> Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.
DOI: 10.5281/zenodo.7024043
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.<br> Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.
DOI: 10.5281/zenodo.7036504
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.<br> Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.
DOI: 10.5281/zenodo.7179146
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.<br> Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.
DOI: 10.5281/zenodo.7353264
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.<br> Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.