cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.972161
title: Satellite Color Images, Vegetation Indices, and Metabolism Indices from Hannover, Germany from 1984 – 2023

description: The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document.The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications.In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description).Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research.
DOI: 10.1594/pangaea.972162
title: Satellite Color Images, Vegetation Indices, and Metabolism Indices from Braunschweig, Germany from 1984 – 2023

description: The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document.The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications.In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description).Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research.
DOI: 10.1594/pangaea.972163
title: Satellite Color Images, Vegetation Indices, and Metabolism Indices from Helmstedt, Germany from 1984 – 2023

description: The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document.The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications.In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description).Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research.
DOI: 10.15468/dl.hsa7ea
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Anaxyrus debilis debilis)"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024326-250127130748423/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/10727086
title: 🇹🇼🐼 Taiwan Food Panda Restaurant Reviews
DOI: 10.15468/dl.vjt8aq
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Anaxyrus debilis insidior (Girard, 1854))"
 ]
}

 The dataset includes 155 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024327-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va3y29
title: Occurrence Download

description: A dataset containing 78966702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "MediaType is null",
 "Month is March"
 ]
}

 The dataset includes 78966702 records from 1963 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024254-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4a9ndh
title: Occurrence Download

description: A dataset containing 26917 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "Year 1950-2017",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)"
 ]
}

 The dataset includes 26917 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zprv2f
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Hong Kong",
 "TaxonKey is Balaenoptera edeni Anderson, 1879"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030100-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dlsqdn
title: Occurrence Download

description: A dataset containing 7308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pipistrellus nathusii (Keyserling & Blasius, 1839)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7308 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003571-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8eehq5
title: Occurrence Download

description: A dataset containing 259159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((35.924964333333335 32.097476, 35.924964333333335 49.184106666666665, 1.8796086666666671 49.184106666666665, 1.8796086666666671 32.097476, 35.924964333333335 32.097476))",
 "EventDate is 2016-03-01,2016-03-31"
 ]
}

 The dataset includes 259159 records from 664 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048472-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iwzihg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elatine ojibwayensis Garneau"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003571-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tmfwa
title: Occurrence Download

description: A dataset containing 379615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((35.924964333333335 32.097476, 35.924964333333335 49.184106666666665, 1.8796086666666671 49.184106666666665, 1.8796086666666671 32.097476, 35.924964333333335 32.097476))",
 "EventDate is 2016-02-01,2016-02-29"
 ]
}

 The dataset includes 379615 records from 517 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048462-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvz1ty
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus magnoliifolia Née",
 "DatasetKey is Tropicos MO Specimen Data"
 ]
}

 The dataset includes 124 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003571-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4gs9n
title: Occurrence Download

description: A dataset containing 1019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen)",
 "Country is Colombia",
 "Geometry POLYGON((-77.27493 8.5064,-77.268 8.45101,-77.26125 8.44234,-77.2531 8.41403,-77.25453 8.39665,-77.2325 8.38734,-77.2227 8.37748,-77.20725 8.37274,-77.20542 8.36649,-77.18975 8.35919,-77.18241 8.37359,-77.17107 8.38159,-77.15988 8.40059,-77.16305 8.43511,-77.17115 8.43305,-77.19122 8.43892,-77.24947 8.47275,-77.25238 8.48942,-77.27493 8.5064))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2013-2023"
 ]
}

 The dataset includes 1019 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048494-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbviro
title: Occurrence Download

description: A dataset containing 3867 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Berberis thunbergii DC."
 ]
}

 The dataset includes 3867 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003571-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba2kvf
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Hong Kong",
 "TaxonKey is Balaenoptera edeni Anderson, 1879"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030101-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e1bwy
title: Occurrence Download

description: A dataset containing 23801 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callisaurus draconoides Blainville, 1835"
 ]
}

 The dataset includes 23801 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003571-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dttwnb
title: Occurrence Download

description: A dataset containing 25337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidochelys olivacea (Eschscholtz, 1829)"
 ]
}

 The dataset includes 25337 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044829-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15087663
title: Architectural Design Decisions for Entanglement between Digital Twins and Microservices-based Systems: Dataset

description: Replication package for the study "Architectural Design Decisions for Entanglement between Digital Twins and Microservices-based Systems"
DOI: 10.15468/dl.drtwby
title: Occurrence Download

description: A dataset containing 309504 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire des oiseaux de France métropolitaine, présence hivernale, 2009-2013 - Oiseaux de France métropolitaine 2009-2013 en période hivernale"
 ]
}

 The dataset includes 309504 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019656-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qeuszv
title: Occurrence Download

description: A dataset containing 1113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephas maximus indicus Cuvier, 1798"
 ]
}

 The dataset includes 1113 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019669-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6ew2u
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Accipiter gentilis (Linnaeus, 1758)"
 ]
}

 The dataset includes 254 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019670-250402121839773/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.23896173.v1
title: Additional file 3 of Genomic variants exclusively identified in children with birth defects and concurrent malignant tumors predispose to cancer development

description: Supplementary Material 3: Supplementary Table 2. Corresponding genes from selected exclusive recurrent variants that overlapped with well-known pediatric cancer genes: [a] genes containing exclusive recurrent coding variants; [b] genes containing exclusive recurrent intronic variants; [c] genes containing exclusive recurrent 3’ UTR variants
DOI: 10.6084/m9.figshare.23896176
title: Additional file 4 of Genomic variants exclusively identified in children with birth defects and concurrent malignant tumors predispose to cancer development

description: Supplementary Material 4: Supplementary Table 3. Exclusive recurrent 5’UTR variants in BD-cancer patients
DOI: 10.6084/m9.figshare.23896176.v1
title: Additional file 4 of Genomic variants exclusively identified in children with birth defects and concurrent malignant tumors predispose to cancer development

description: Supplementary Material 4: Supplementary Table 3. Exclusive recurrent 5’UTR variants in BD-cancer patients
DOI: 10.6084/m9.figshare.23896113
title: Additional file 1 of Predictors of osteoporotic fracture in postmenopausal women: a meta-analysis

description: Additional file 1. Forest plots of the main subgroups in the study.
DOI: 10.6084/m9.figshare.23896113.v1
title: Additional file 1 of Predictors of osteoporotic fracture in postmenopausal women: a meta-analysis

description: Additional file 1. Forest plots of the main subgroups in the study.
DOI: 10.6084/m9.figshare.23902897.v1
title: Additional file 2 of metaSpectraST: an unsupervised and database-independent analysis workflow for metaproteomic MS/MS data using spectrum clustering

description: Additional file 2. Table of statistical analysis of significantly changed consensus peptides between sample clusters.
DOI: 10.6084/m9.figshare.23902897
title: Additional file 2 of metaSpectraST: an unsupervised and database-independent analysis workflow for metaproteomic MS/MS data using spectrum clustering

description: Additional file 2. Table of statistical analysis of significantly changed consensus peptides between sample clusters.
DOI: 10.6084/m9.figshare.23902900
title: Additional file 3 of metaSpectraST: an unsupervised and database-independent analysis workflow for metaproteomic MS/MS data using spectrum clustering

description: Additional file 3. Table of statistical analysis of significantly changed MCL-clustered protein groups between sample clusters.
DOI: 10.6084/m9.figshare.23902900.v1
title: Additional file 3 of metaSpectraST: an unsupervised and database-independent analysis workflow for metaproteomic MS/MS data using spectrum clustering

description: Additional file 3. Table of statistical analysis of significantly changed MCL-clustered protein groups between sample clusters.
DOI: 10.6084/m9.figshare.23902783
title: Additional file 1 of The protective effect of COVID-19 vaccines on developing multisystem inflammatory syndrome in children (MIS-C): a systematic literature review and meta-analysis

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23902783.v1
title: Additional file 1 of The protective effect of COVID-19 vaccines on developing multisystem inflammatory syndrome in children (MIS-C): a systematic literature review and meta-analysis

description: Supplementary Material 1
DOI: 10.15468/dl.v8nuzg
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.695143 -33.822265, 148.695143 -33.824511, 148.697388 -33.824511, 148.697388 -33.822265, 148.695143 -33.822265))"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069749-240626123714530/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.23902903
title: Additional file 1 of Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23902903.v1
title: Additional file 1 of Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23902825
title: Additional file 1 of Relationships between self-perceived and clinical expression of pain and function differ based on the underlying pathology of the human hip

description: Additional file 1.