cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/i923m1/n5ff0m
title: 20130715_KHO_REDOBS_gps.txt
DOI: 10.18710/i923m1/rsadfb
title: 20130326_KHO_REDOBS_glo.txt
DOI: 10.18710/i923m1/shm1ui
title: 20130626_KHO_REDOBS_gal.txt
DOI: 10.18710/i923m1/ucl3ho
title: 20130611_KHO_REDOBS_glo.txt
DOI: 10.18710/i923m1/vaha3o
title: 20130226_KHO_REDOBS_glo.txt
DOI: 10.18710/i923m1
title: GNSS Scintillation Data (60 s) at Longyearbyen in 2013

description: &lt;p&gt;This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.

The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.&lt;/p&gt;

&lt;p&gt;A detailed description of the data structure and format is gathered in the documentation data set: &lt;i&gt;Oksavik, Kjellmar, 2020, "Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard", DataverseNO, &lt;A HREF="https://doi.org/10.18710/EA5BYX"&gt;https://doi.org/10.18710/EA5BYX&lt;/A&gt;&lt;/i&gt;
&lt;/p&gt;
&lt;p&gt;&lt;b&gt;This data set is part of a larger collection: &lt;i&gt;Oksavik, Kjellmar, 2020. "The University of Bergen Global Navigation Satellite System Data Collection". DataverseNO. &lt;A HREF="https://doi.org/10.18710/AJ4S-X394"&gt;https://doi.org/10.18710/AJ4S-X394&lt;/A&gt;.&lt;/i&gt;&lt;/b&gt;
&lt;/p&gt;
description: Longyearbyen OBS 60 s
description: Matlab, R2018a
DOI: 10.15468/dl.xp8mtf
title: Occurrence Download

description: A dataset listing the 597 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "GbifRegion is Africa",
 "Geometry POLYGON((32.96849 -9.01064,36.31761 -9.01064,36.31761 -6.61308,32.96849 -6.61308,32.96849 -9.01064))",
 "Month is May",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "StartDayOfYear 1-366",
 "StartDayOfYear 106-366"
 ]
 },
 "Year 2020-2024"
 ]
}

 The dataset's 597 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019631-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mfyb8
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Antheminia lunulata (Goeze, 1778)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019648-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ap76j
title: Occurrence Download

description: A dataset listing the 20092 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((6.69614 53.65794,6.79295 54.48162,6.06687 55.0402,3.59821 54.9708,2.72691 54.19944,2.21866 53.34122,2.14605 52.18432,1.6136 51.69193,2.38269 51.44559,3.08428 51.3937,3.14863 51.3937,3.2794 51.39578,3.433 51.3937,3.46956 51.40101,3.52569 51.40993,3.58436 51.39463,3.63603 51.38251,3.70172 51.36401,3.72532 51.35126,3.73871 51.35445,3.79611 51.35253,3.7958 51.37947,3.79138 51.39715,3.76085 51.41242,3.73352 51.41001,3.71424 51.42608,3.6829 51.44657,3.65678 51.44938,3.57763 51.43773,3.53079 51.45713,3.4938 51.49221,3.43002 51.5241,3.43257 51.54132,3.44851 51.5477,3.52632 51.57831,3.57964 51.59644,3.63107 51.59081,3.65919 51.59483,3.67768 51.60246,3.68009 51.62697,3.70018 51.63943,3.71223 51.64586,3.72107 51.65871,3.68692 51.67358,3.67486 51.70693,3.69254 51.72742,3.71986 51.74068,3.74381 51.7406,3.78278 51.74462,3.81774 51.74221,3.84064 51.76431,3.85953 51.76993,3.86153 51.78962,3.8535 51.80931,3.87399 51.82337,3.90613 51.82698,3.93265 51.83261,3.96961 51.84306,4.0102 51.84466,4.03953 51.82859,4.06966 51.84507,4.02747 51.88565,4.0552 51.91578,4.04073 51.92261,3.98207 51.91819,3.96078 51.96761,3.99183 51.98694,4.03552 51.98567,4.08973 51.97355,4.27724 52.111,4.29255 52.12141,4.30403 52.12619,4.35123 52.16414,4.38758 52.20081,4.42649 52.24004,4.49814 52.32859,4.52078 52.36335,4.55554 52.42171,4.55778 52.42873,4.59776 52.53268,4.62105 52.62013,4.63508 52.6922,4.63763 52.70591,4.63763 52.73174,4.65358 52.77033,4.67526 52.79584,4.70815 52.88595,4.71257 52.89789,4.71512 52.94476,4.73156 52.96216,4.80108 52.96566,4.80491 52.95992,4.79311 52.9443,4.79438 52.93122,4.80714 52.91305,4.87506 52.88913,4.91078 52.89455,4.93629 52.90507,4.95351 52.91528,4.9618 52.92771,5.01602 52.93473,5.0377 52.93473,5.30047 53.07186,5.39906 53.12475,5.44669 53.23465,6.04263 53.44714,5.39173 53.39707,4.87885 53.21125,4.82974 53.18765,4.86036 53.18701,4.87985 53.16402,4.91014 53.13691,4.90759 53.13149,4.8993 53.11905,4.89962 53.08015,4.87921 53.06612,4.87442 53.06548,4.87411 53.05687,4.84572 53.03359,4.81798 53.02785,4.79406 53.0084,4.79661 53.00361,4.7204 52.98544,4.71912 52.99405,4.7086 53.02147,4.71242 53.04539,4.73092 53.07632,4.7829 53.1299,4.79215 53.135,4.82683 53.18402,4.84477 53.22956,5.11682 53.35602,5.25017 53.42535,5.89555 53.48936,6.0049 53.48403,6.40226 53.5347,6.57294 53.58537,6.69614 53.65794))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 20092 records were derived from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019629-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em78qr
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Torreya grandis Fortune ex Lindl."
 ]
}

 The dataset includes 383 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019649-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4gj98
title: Occurrence Download

description: A dataset containing 4048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe",
 "Geometry POLYGON((8.12699 44.27913,8.78754 44.52196,13.00328 44.22054,12.50849 45.37288,10.16008 45.57655,8.54429 45.79676,7.19291 45.54,7.22444 44.80575,8.12699 44.27913))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4048 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019650-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jehc5f
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Atomoscelis onustus (Fieber, 1861)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019651-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utm6mz
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bathysolen nubilus (Fallén, 1807)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 146 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019652-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13593195
title: A hermetically closed sample chamber enables time-lapse nano-characterization of pathogenic microorganisms in-vitro

description: Videos showing biosafety compliance of sample chamber (airtightness and liquid leakproof tests)
DOI: 10.5281/zenodo.13593196
title: A hermetically closed sample chamber enables time-lapse nano-characterization of pathogenic microorganisms in-vitro

description: Videos showing biosafety compliance of sample chamber (airtightness and liquid leakproof tests)
DOI: 10.15468/dl.qypb43
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Beosus maritimus (Scopoli, 1763)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 486 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019653-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7eu4u4
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amblyomma hebraeum Koch, 1844",
 "Year 2000-2024"
 ]
}

 The dataset includes 98 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019655-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twuqem
title: Occurrence Download

description: A dataset containing 9027 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pomacea canaliculata (Lamarck, 1822)"
 ]
}

 The dataset includes 9027 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019654-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mfxn7
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Beosus quadripunctatus (Muller, 1766)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 19 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019656-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccusgn
title: Occurrence Download

description: A dataset containing 114347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Ulmus L."
 ]
}

 The dataset includes 114347 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019609-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9648057
title: IndFD-PM-DT
DOI: 10.15468/dl.3ce3yn
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Berytinus clavipes (Fabricius, 1775)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 100 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019658-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8czy7u
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrixalus saxicola (Jerdon, 1853)"
 ]
}

 The dataset includes 110 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019660-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa6yw6
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "TaxonKey is Betula utilis D.Don"
 ]
}

 The dataset includes 158 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019661-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13944273
title: megaphages
DOI: 10.5281/zenodo.13944274
title: megaphages
DOI: 10.15468/dl.tqctj7
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Berytinus minor (Herrich-Schaeffer, 1835)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 167 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019662-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9648418
title: AutoXGB
DOI: 10.34740/kaggle/dsv/9648419
title: OnlineFree
DOI: 10.15468/dl.f7kpa6
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Berytinus montivagus (Meyer, 1841)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 46 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019663-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzq7ar
title: Occurrence Download

description: A dataset containing 1023 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phrynobatrachus acridoides (Cope, 1867)"
 ]
}

 The dataset includes 1023 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019664-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27247551.v1
title: project cost

description: project cost
DOI: 10.6084/m9.figshare.27247551
title: project cost

description: project cost
DOI: 10.6084/m9.figshare.25283056.v1
title: Global variation of adjusted N2O EFs

description: Title: Legacy effects cause systematic underestimation of N<sub>2</sub>O emission factorsAbstract: Agricultural soils account for ~50% of global anthropogenic nitrous oxide (N<sub>2</sub>O) emissions, which are largely derived from nitrogen (N) fertilizer input. Global N<sub>2</sub>O emission factors (EFs) estimated from IPCC Tier 1 methodologies, which are mainly based on field measurements, are 2-5 times lower than those from top-down models. The reason for this inconsistency is unclear, causing uncertainty in global estimates of N<sub>2</sub>O fluxes and hindering the development of sound mitigation policies. Here, we show through data synthesis and a series of experiments, that EFs measured in field experiments increase exponentially with measurement duration. Our results can be explained by the legacy effect of N input; historic N addition increases soil N availability, lowers soil pH, and increases the abundance of N<sub>2</sub>O producing microorganisms in control plots. Accounting for this legacy effect and without considering other effects, we estimate that global EFs and annual fertilizer-induced N<sub>2</sub>O emissions of cropland are 1.7% and 1.8 Tg N<sub>2</sub>O-N, respectively, both 89% higher than IPCC estimates. Our findings narrow the gap between bottom-up and top-down estimates of EFs, emphasize the importance of long-term well-controlled experiments for N<sub>2</sub>O emission estimates, and underline the need for N<sub>2</sub>O emission mitigation practices.Data: Global variation of adjusted N<sub>2</sub>O EFs based on EFs from IPCC (2019) and Cui et al. (2021). Please open it in MATLAB.
DOI: 10.5281/zenodo.10725808
title: COVID-SARI-Hospitalisierungsinzidenz

description: Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) und einer COVID-19-Diagnose  in ein  Krankenhaus zur Behandlung aufgenommen wurden, pro 100.000 Einwohner berechnet. Zeitnahe und valide Daten über die Häufigkeit von SARI mit COVID-19 sind essenziell für die Einschätzung der epidemiologischen Lage und die Anpassung der Maßnahmen während der COVID-19-Pandemie.
DOI: 10.5281/zenodo.10792284
title: COVID-SARI-Hospitalisierungsinzidenz

description: Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) und einer COVID-19-Diagnose  in ein  Krankenhaus zur Behandlung aufgenommen wurden, pro 100.000 Einwohner berechnet. Zeitnahe und valide Daten über die Häufigkeit von SARI mit COVID-19 sind essenziell für die Einschätzung der epidemiologischen Lage und die Anpassung der Maßnahmen während der COVID-19-Pandemie.
DOI: 10.5281/zenodo.11632727
title: COVID-SARI-Hospitalisierungsinzidenz

description: Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) und einer COVID-19-Diagnose  in ein  Krankenhaus zur Behandlung aufgenommen wurden, pro 100.000 Einwohner berechnet. Zeitnahe und valide Daten über die Häufigkeit von SARI mit COVID-19 sind essenziell für die Einschätzung der epidemiologischen Lage und die Anpassung der Maßnahmen während der COVID-19-Pandemie.
DOI: 10.5281/zenodo.12644641
title: COVID-SARI-Hospitalisierungsinzidenz

description: Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) und einer COVID-19-Diagnose  in ein  Krankenhaus zur Behandlung aufgenommen wurden, pro 100.000 Einwohner berechnet. Zeitnahe und valide Daten über die Häufigkeit von SARI mit COVID-19 sind essenziell für die Einschätzung der epidemiologischen Lage und die Anpassung der Maßnahmen während der COVID-19-Pandemie.
DOI: 10.5281/zenodo.13788707
title: COVID-SARI-Hospitalisierungsinzidenz

description: Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) und einer COVID-19-Diagnose  in ein  Krankenhaus zur Behandlung aufgenommen wurden, pro 100.000 Einwohner berechnet. Zeitnahe und valide Daten über die Häufigkeit von SARI mit COVID-19 sind essenziell für die Einschätzung der epidemiologischen Lage und die Anpassung der Maßnahmen während der COVID-19-Pandemie.
DOI: 10.5281/zenodo.7669806
title: COVID-SARI-Hospitalisierungsinzidenz

description: Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) und einer COVID-19-Diagnose in ein Krankenhaus zur Behandlung aufgenommen wurden, pro 100.000 Einwohner berechnet. Zeitnahe und valide Daten über die Häufigkeit von SARI mit COVID-19 sind essenziell für die Einschätzung der epidemiologischen Lage und die Anpassung der Maßnahmen während der COVID-19-Pandemie.
DOI: 10.5281/zenodo.7969960
title: COVID-SARI-Hospitalisierungsinzidenz

description: Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) und einer COVID-19-Diagnose in ein Krankenhaus zur Behandlung aufgenommen wurden, pro 100.000 Einwohner berechnet. Zeitnahe und valide Daten über die Häufigkeit von SARI mit COVID-19 sind essenziell für die Einschätzung der epidemiologischen Lage und die Anpassung der Maßnahmen während der COVID-19-Pandemie.