cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fzhnq7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Discostella pseudostelligera (Hustedt) Houk & Klee, 2004",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065165-250525065834625/datasets/export for details.
DOI: 10.57745/fkyg0m
title: K275303001_projection_datasheet.pdf
DOI: 10.57745/ygdnts
title: K275862100_projection_datasheet.pdf
DOI: 10.57745/vvg0mo
title: K277402001_projection_datasheet.pdf
DOI: 10.57745/wnk3mn
title: K277312001_projection_datasheet.pdf
DOI: 10.57745/9lixkm
title: K278301001_projection_datasheet.pdf
DOI: 10.57745/3rdokf
title: K279081001_projection_datasheet.pdf
DOI: 10.57745/5bw7ut
title: K283401001_projection_datasheet.pdf
DOI: 10.57745/qrl85h
title: K282191001_projection_datasheet.pdf
DOI: 10.57745/m5tiqt
title: K285191001_projection_datasheet.pdf
DOI: 10.57745/cfr5ye
title: K288401001_projection_datasheet.pdf
DOI: 10.57745/hh57kc
title: K287191001_projection_datasheet.pdf
DOI: 10.57745/ubkeke
title: K294401001_projection_datasheet.pdf
DOI: 10.57745/tym4po
title: K297031001_projection_datasheet.pdf
DOI: 10.57745/wxg9yq
title: K295000101_projection_datasheet.pdf
DOI: 10.57745/kl2irv
title: K298191001_projection_datasheet.pdf
DOI: 10.57745/togg2c
title: K299401001_projection_datasheet.pdf
DOI: 10.57745/ujrfmt
title: K302030000_projection_datasheet.pdf
DOI: 10.57745/2hnz4y
title: K303081001_projection_datasheet.pdf
DOI: 10.57745/84fhas
title: K307401001_projection_datasheet.pdf
DOI: 10.57745/nwjtmy
title: K306031001_projection_datasheet.pdf
DOI: 10.57745/actgtz
title: K313000200_projection_datasheet.pdf
DOI: 10.57745/izgvg3
title: K315301001_projection_datasheet.pdf
DOI: 10.57745/m19yvv
title: K322020000_projection_datasheet.pdf
DOI: 10.57745/22yazi
title: K322021001_projection_datasheet.pdf
DOI: 10.57745/nprhju
title: K323030000_projection_datasheet.pdf
DOI: 10.57745/zgnfbh
title: K322201001_projection_datasheet.pdf
DOI: 10.57745/3u1vbv
title: K326400000_projection_datasheet.pdf
DOI: 10.57745/gvaect
title: K326401002_projection_datasheet.pdf
DOI: 10.57745/ilaqbm
title: K327301001_projection_datasheet.pdf
DOI: 10.57745/6k9fqa
title: K329202001_projection_datasheet.pdf
DOI: 10.57745/4x01ct
title: K330201001_projection_datasheet.pdf
DOI: 10.57745/x8yoax
title: K329304201_projection_datasheet.pdf
DOI: 10.57745/yuzkgd
title: K332201001_projection_datasheet.pdf
DOI: 10.57745/e9gfwh
title: K333030000_projection_datasheet.pdf
DOI: 10.57745/ibbap6
title: K335000100_projection_datasheet.pdf
DOI: 10.57745/knfcfr
title: K337301001_projection_datasheet.pdf
DOI: 10.57745/hodsd4
title: K337471001_projection_datasheet.pdf
DOI: 10.57745/urpgc4
title: K338201001_projection_datasheet.pdf
DOI: 10.57745/3uewmv
title: K340081001_projection_datasheet.pdf
DOI: 10.57745/ercasq
title: K345081001_projection_datasheet.pdf
DOI: 10.57745/guqiox
title: K346400000_projection_datasheet.pdf
DOI: 10.57745/rn5e6q
title: K346401001_projection_datasheet.pdf
DOI: 10.57745/7ha1em
title: K352008000_projection_datasheet.pdf
DOI: 10.57745/odislq
title: K353301001_projection_datasheet.pdf
DOI: 10.57745/1klhg5
title: K355301001_projection_datasheet.pdf
DOI: 10.57745/dkoy6j
title: K357081010_projection_datasheet.pdf
DOI: 10.57745/zwksq2
title: K360301001_projection_datasheet.pdf
DOI: 10.57745/ukqaii
title: K400001010_projection_datasheet.pdf
DOI: 10.57745/x1jhqd
title: K365081001_projection_datasheet.pdf
DOI: 10.57745/ulkdvm
title: K401301001_projection_datasheet.pdf
DOI: 10.57745/jgkgve
title: K404401001_projection_datasheet.pdf
DOI: 10.57745/mpbl7y
title: K403001010_projection_datasheet.pdf
DOI: 10.57745/11gmem
title: K407031000_projection_datasheet.pdf
DOI: 10.57745/c5qvxo
title: K408001001_projection_datasheet.pdf
DOI: 10.57745/zd7fru
title: K407311001_projection_datasheet.pdf
DOI: 10.57745/gs3c3p
title: K409401001_projection_datasheet.pdf
DOI: 10.57745/xyskvi
title: K412301001_projection_datasheet.pdf
DOI: 10.57745/ijp9p4
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DOI: 10.57745/lnr6xb
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DOI: 10.57745/vpfo7q
title: K418001201_projection_datasheet.pdf
DOI: 10.57745/8c26l6
title: K428000201_projection_datasheet.pdf
DOI: 10.57745/ept235
title: K425030000_projection_datasheet.pdf
DOI: 10.57745/mtxeac
title: K428031000_projection_datasheet.pdf
DOI: 10.57745/88ydqw
title: K430002010_projection_datasheet.pdf
DOI: 10.57745/oislqj
title: K435001020_projection_datasheet.pdf
DOI: 10.57745/wwa7ex
title: K437031000_projection_datasheet.pdf
DOI: 10.57745/5prkc8
title: K439030000_projection_datasheet.pdf
DOI: 10.57745/tgbbvc
title: K438311001_projection_datasheet.pdf
DOI: 10.57745/ub17qs
title: K440000000_projection_datasheet.pdf
DOI: 10.57745/01edki
title: K441409001_projection_datasheet.pdf
DOI: 10.57745/esyfm0
title: K444301001_projection_datasheet.pdf
DOI: 10.57745/ucfqa6
title: K445000000_projection_datasheet.pdf
DOI: 10.57745/oqrnlm
title: K447311001_projection_datasheet.pdf
DOI: 10.57745/pmlzpr
title: K447001001_projection_datasheet.pdf
DOI: 10.57745/cmcvad
title: K456400000_projection_datasheet.pdf
DOI: 10.57745/pofdcc
title: K455000101_projection_datasheet.pdf
DOI: 10.57745/xesepo
title: K457221001_projection_datasheet.pdf
DOI: 10.15468/dl.266hzg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Discostella pseudostelligera (Hustedt) Houk & Klee, 2004",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065166-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15721650
title: Consumer Preference in Choosing an Online Shopping Platform: TikTok Shop vs Conventional E-Commerce

description: The development of digital technology has changed people's shopping behavior, especially through online platforms. TikTok Shop, as a new shopping feature in the TikTok social media application, offers an interactive and unique shopping experience compared to conventional e-commerce platforms. Although TikTok Shop is increasingly in demand, especially by the younger generation, many consumers still choose to shop through other e-commerce platforms that are considered more trusted and functional. This raises questions about the factors that influence consumer preferences in choosing an online shopping platform. Previous studies have focused more on consumer behavior on one platform, without directly comparing preferences between TikTok Shop and other e-commerce platforms. This study fills this gap by analyzing consumer preferences based on aspects of price, promotion, convenience, and trust. Research This study uses a quantitative approach by distributing online questionnaires to 102 respondents who are active users of online shopping platforms and processed using a Likert scale in Excel. The results of the study showed that the majority of respondents strongly agreed with the statement given, with the level of agreement reaching 93.14%. Conclusions and implications: Gen Z strongly supports statements that indicate that the approach or values conveyed are relevant to the preferences and views of this generation
DOI: 10.57745/cjrlmm
title: K467000201_projection_datasheet.pdf
DOI: 10.57745/sflng1
title: K466031000_projection_datasheet.pdf
DOI: 10.5281/zenodo.15721649
title: Consumer Preference in Choosing an Online Shopping Platform: TikTok Shop vs Conventional E-Commerce

description: The development of digital technology has changed people's shopping behavior, especially through online platforms. TikTok Shop, as a new shopping feature in the TikTok social media application, offers an interactive and unique shopping experience compared to conventional e-commerce platforms. Although TikTok Shop is increasingly in demand, especially by the younger generation, many consumers still choose to shop through other e-commerce platforms that are considered more trusted and functional. This raises questions about the factors that influence consumer preferences in choosing an online shopping platform. Previous studies have focused more on consumer behavior on one platform, without directly comparing preferences between TikTok Shop and other e-commerce platforms. This study fills this gap by analyzing consumer preferences based on aspects of price, promotion, convenience, and trust. Research This study uses a quantitative approach by distributing online questionnaires to 102 respondents who are active users of online shopping platforms and processed using a Likert scale in Excel. The results of the study showed that the majority of respondents strongly agreed with the statement given, with the level of agreement reaching 93.14%. Conclusions and implications: Gen Z strongly supports statements that indicate that the approach or values conveyed are relevant to the preferences and views of this generation
DOI: 10.57745/z9jisr
title: K468000100_projection_datasheet.pdf
DOI: 10.57745/shrao6
title: K473000101_projection_datasheet.pdf
DOI: 10.57745/xfmuxy
title: K469022000_projection_datasheet.pdf
DOI: 10.57745/scfa67
title: K478000201_projection_datasheet.pdf
DOI: 10.57745/ookutc
title: K479301001_projection_datasheet.pdf
DOI: 10.57745/oxixlo
title: K478030000_projection_datasheet.pdf
DOI: 10.57745/5n2fwt
title: K480001001_projection_datasheet.pdf
DOI: 10.57745/e07pud
title: K481400000_projection_datasheet.pdf
DOI: 10.57745/ozn57x
title: K483000100_projection_datasheet.pdf
DOI: 10.57745/gmeiys
title: K484000102_projection_datasheet.pdf
DOI: 10.57745/kohk7a
title: K483015000_projection_datasheet.pdf
DOI: 10.57745/3rrlbj
title: K485300001_projection_datasheet.pdf
DOI: 10.57745/8flv6g
title: K488031100_projection_datasheet.pdf
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title: K487312002_projection_datasheet.pdf
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title: K490003102_projection_datasheet.pdf
DOI: 10.57745/jvmbh9
title: K505000101_projection_datasheet.pdf
DOI: 10.57745/pibrag
title: K497000200_projection_datasheet.pdf
DOI: 10.57745/fvoxx0
title: K505009000_projection_datasheet.pdf
DOI: 10.6084/m9.figshare.29382767
title: SOM-SVM Model Code for Ecological Restoration Zoning

description: 为了有效指导生态恢复的空间规划，本研究基于“模式-生态系统-人类”概念框架开发了 14 因素指标系统。该框架包括一个三层生态恢复分区系统。使用自组织映射 （SOM） 识别第一级和第二级区域，随后使用支持向量机 （SVM） 验证分区的准确性。提供 R 代码。
DOI: 10.6084/m9.figshare.29382767.v1
title: SOM-SVM Model Code for Ecological Restoration Zoning

description: 为了有效指导生态恢复的空间规划，本研究基于“模式-生态系统-人类”概念框架开发了 14 因素指标系统。该框架包括一个三层生态恢复分区系统。使用自组织映射 （SOM） 识别第一级和第二级区域，随后使用支持向量机 （SVM） 验证分区的准确性。提供 R 代码。
DOI: 10.57745/bpwdh2
title: K508301001_projection_datasheet.pdf
DOI: 10.57745/q32ozd
title: K509090001_projection_datasheet.pdf
DOI: 10.57745/6cgrog
title: K510000200_projection_datasheet.pdf
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title: K514311001_projection_datasheet.pdf
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title: K514031000_projection_datasheet.pdf
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title: K518302002_projection_datasheet.pdf
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title: K518302100_projection_datasheet.pdf
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title: K520090201_projection_datasheet.pdf
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title: K522090001_projection_datasheet.pdf
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title: K522090003_projection_datasheet.pdf
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title: K525009000_projection_datasheet.pdf
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title: K543302101_projection_datasheet.pdf
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title: K548092010_projection_datasheet.pdf
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title: K548091010_projection_datasheet.pdf
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title: K549090001_projection_datasheet.pdf
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DOI: 10.57745/kh5hsq
title: K551000100_projection_datasheet.pdf
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title: K555023000_projection_datasheet.pdf
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title: K557410001_projection_datasheet.pdf
DOI: 10.57745/zj8zhk
title: K555230001_projection_datasheet.pdf
DOI: 10.57745/cenpgf
title: K562301001_projection_datasheet.pdf
DOI: 10.57745/gsa74r
title: K565301001_projection_datasheet.pdf
DOI: 10.57745/wmtuhm
title: K565301100_projection_datasheet.pdf
DOI: 10.57745/qxuyhc
title: K566000100_projection_datasheet.pdf
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title: K570232001_projection_datasheet.pdf
DOI: 10.57745/docgdm
title: K571231001_projection_datasheet.pdf
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title: K573030000_projection_datasheet.pdf
DOI: 10.57745/zna5bu
title: K602242001_projection_datasheet.pdf
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title: K602242101_projection_datasheet.pdf
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title: K606301001_projection_datasheet.pdf
DOI: 10.57745/iy38v7
title: K607240010_projection_datasheet.pdf
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title: K608000100_projection_datasheet.pdf
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title: K610243001_projection_datasheet.pdf
DOI: 10.57745/axtzcy
title: K610243201_projection_datasheet.pdf
DOI: 10.6084/m9.figshare.28389083
title: Additional dataset to help with the journal contribution

description: The dataset includes a map of the geographical location of the study areas, accession number obtained from the study strains, [NCBI blast_gb_HM138670_.htm], and other data retrieved from NCBI database.
DOI: 10.6084/m9.figshare.28389083.v1
title: Additional dataset to help with the journal contribution

description: The dataset includes a map of the geographical location of the study areas, accession number obtained from the study strains, [NCBI blast_gb_HM138670_.htm], and other data retrieved from NCBI database.
DOI: 10.57745/ogewwv
title: K612311011_projection_datasheet.pdf
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title: K611240010_projection_datasheet.pdf
DOI: 10.57745/q3zlir
title: K612311100_projection_datasheet.pdf
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title: K613000100_projection_datasheet.pdf
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title: K617313001_projection_datasheet.pdf
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title: K618000100_projection_datasheet.pdf
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title: K619242001_projection_datasheet.pdf
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title: K620090010_projection_datasheet.pdf
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title: K652030000_projection_datasheet.pdf
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title: K654031000_projection_datasheet.pdf
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title: K653000100_projection_datasheet.pdf
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title: K658032000_projection_datasheet.pdf
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title: K659300010_projection_datasheet.pdf
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title: K659302001_projection_datasheet.pdf
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title: K661009000_projection_datasheet.pdf
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title: K671091001_projection_datasheet.pdf
DOI: 10.57745/wvdc1x
title: K672000201_projection_datasheet.pdf
DOI: 10.57745/ggpl8e
title: K681400000_projection_datasheet.pdf
DOI: 10.57745/lhrvam
title: K683002101_projection_datasheet.pdf
DOI: 10.57745/shlcay
title: K683002001_projection_datasheet.pdf
DOI: 10.57745/jaxsgs
title: K702260010_projection_datasheet.pdf
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title: K702026000_projection_datasheet.pdf
DOI: 10.57745/gbrq2i
title: K702262001_projection_datasheet.pdf
DOI: 10.57745/0ixmtk
title: K715261010_projection_datasheet.pdf
DOI: 10.57745/clawj9
title: K714301001_projection_datasheet.pdf
DOI: 10.57745/hobkyo
title: K720261001_projection_datasheet.pdf
DOI: 10.57745/l105yl
title: K720751001_projection_datasheet.pdf
DOI: 10.57745/m7hg6m
title: K721261010_projection_datasheet.pdf
DOI: 10.57745/xakip1
title: K721751202_projection_datasheet.pdf
DOI: 10.57745/d00h8l
title: K730000100_projection_datasheet.pdf
DOI: 10.57745/jlbumi
title: K722261011_projection_datasheet.pdf
DOI: 10.15468/dl.krjja6
title: Occurrence Download

description: A dataset containing 4260242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1970-2020"
 ]
}

 The dataset includes 4260242 records from 1993 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065124-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skstts
title: Occurrence Download

description: A dataset containing 680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Sphaeralcea coccinea",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 680 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007708-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17172530
title: BeepBank-500: A Psychoacoustic Earcon Mini-Corpus

description: BeepBank-500 is a compact, fully synthetic earcon/alert mini-dataset (≈300–500 mono WAV clips, 48 kHz) for UI sound and psychoacoustics research. Clips are generated from a parametric recipe controlling waveform family (sine, square, triangle, FM), fundamental frequency, duration, amplitude envelope, amplitude modulation, and Schroeder-style reverbs. We provide a rich metadata CSV (signal/spectral features) and tiny baselines (waveform classification, f0 regression).
DOI: 10.5281/zenodo.17172015
title: BeepBank-500: A Psychoacoustic Earcon Mini-Corpus

description: BeepBank-500 is a compact, fully synthetic earcon/alert mini-dataset (≈300–500 mono WAV clips, 48 kHz) for UI sound and psychoacoustics research. Clips are generated from a parametric recipe controlling waveform family (sine, square, triangle, FM), fundamental frequency, duration, amplitude envelope, amplitude modulation, and Schroeder-style reverbs. We provide a rich metadata CSV (signal/spectral features) and tiny baselines (waveform classification, f0 regression).
DOI: 10.5281/zenodo.17181485
title: COVID-19-Todesfälle in Deutschland

description: 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.
DOI: 10.15468/dl.n6rqyj
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Sporobolus compositus",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 394 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007710-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etcehh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centromadia pungens",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007709-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6e85j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centromadia pungens",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007711-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17181486
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: 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).