cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.29mucq
title: Occurrence Download

description: A dataset containing 1912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Syzygium paniculatum Gaertn."
 ]
}

 The dataset includes 1912 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024475-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aajatg
title: Occurrence Download

description: A dataset containing 12599 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera leo (Linnaeus, 1758)"
 ]
}

 The dataset includes 12599 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024476-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7sczb
title: Occurrence Download

description: A dataset containing 496 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monochamus alternatus Hope, 1843"
 ]
}

 The dataset includes 496 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024477-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ftsuk
title: Occurrence Download

description: A dataset containing 16649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dicksonia antarctica Labill."
 ]
}

 The dataset includes 16649 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024478-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25500/edata.bham.00001140
title: Dataset in support of the publication Catalytic hydrodeoxygenation of benzoic acid as a bio-oil model compound: reaction and kinetics using nickel-supported catalysts
DOI: 10.5518/913
title: Data for `Spatial localisation beyond steady states in the neighbourhood of the Takens-Bogdanov bifurcation’

description: Three movies for different solutions discussed in the associated paper. Figure5b_loc_SS_MW_rad0p7_th280 : An example of localized steady state with modulated wave (MW) solutions background obtained from time stepping. The blue and red curves refer to u and ut , respectively. See the paper for details of system parameters and more details. Figure10a_loc_TW_T_rad0p1_th200 : An example of localised travelling wave (LTW) with trivial state (TS) background. The blue and red curves refer to $u$ and $u_t$, and the waves travel to the right. See the paper for details of system parameters and more details. Figure11a_loc_TW_SS_rad0p1_th170 : An example of localised travelling wave (LTW) with steady state (SS) background. The blue and red curves refer to $u$ and $u_t$ and the wave travels to the right.
DOI: 10.5281/zenodo.6457532
title: FlexiGroBots - Blueberry UAV Hyperspectral Dataset

description: Acquisition dates: 07.07.2021; 16.07.2021; 12.09.2021
Location: Maišiagala, Vilnius District Municipality, Lithuania
Spatial resolution: 0.023 m/pixel
Number of spectral bands: 204
Spectral range: 426-958 nm (visible-near infrared spectrum)
Spectral resolution: 2.8 nm
Flight altitude: 70 m
 
The dataset consists of blueberry hyperspectral imaging data acquired with a UAV and a BaySpec OCI-F Hyperspectral Imager on several dates. In total, six flights on three different dates were performed. The data from each UAV flight are given as a separate dataset. Each dataset consists of raw and processed hyperspectral imaging data. The raw data include calibration images of white reference and dark background, raw hyperspectral images, and information on the UAV flight path. Calibration data are stored in the folders "...-White", "...-White_FS2", "...-Dark", and "...-Dark_FS2". Raw images are located in subfolders RawImages and RawImages_FS2 of the main data folder, which ends with "..._BI08". The BaySpec Cube Creator 2100 software was used to process raw images into hyperspectral data cubes, which are provided in the format of band sequential image files (BSQ). BSQ files are located in the Cube folders of each dataset together with HDR files containing metadata for each cube. The values of hyperspectral data cubes are in digital numbers, which can be recalculated to reflectance using the reflectance scaling factor. It is specified in the HDR files for each cube individually.


Datasheet of the dataset: https://drive.google.com/file/d/1QV5he5bGazAlN8A5Mpyl1xMc7lQcvy9W

Download links:
https://blueberry-dataset.s3.eu-west-1.amazonaws.com/2021-07-07.zip (60.48 GB)
https://blueberry-dataset.s3.eu-west-1.amazonaws.com/2021-07-16.zip (177.22 GB)
https://blueberry-dataset.s3.eu-west-1.amazonaws.com/2021-09-15.zip (81.12 GB)
DOI: 10.5281/zenodo.6457533
title: FlexiGroBots - Blueberry UAV Hyperspectral Dataset

description: Acquisition dates: 07.07.2021; 16.07.2021; 12.09.2021
Location: Maišiagala, Vilnius District Municipality, Lithuania
Spatial resolution: 0.023 m/pixel
Number of spectral bands: 204
Spectral range: 426-958 nm (visible-near infrared spectrum)
Spectral resolution: 2.8 nm
Flight altitude: 70 m
 
The dataset consists of blueberry hyperspectral imaging data acquired with a UAV and a BaySpec OCI-F Hyperspectral Imager on several dates. In total, six flights on three different dates were performed. The data from each UAV flight are given as a separate dataset. Each dataset consists of raw and processed hyperspectral imaging data. The raw data include calibration images of white reference and dark background, raw hyperspectral images, and information on the UAV flight path. Calibration data are stored in the folders "...-White", "...-White_FS2", "...-Dark", and "...-Dark_FS2". Raw images are located in subfolders RawImages and RawImages_FS2 of the main data folder, which ends with "..._BI08". The BaySpec Cube Creator 2100 software was used to process raw images into hyperspectral data cubes, which are provided in the format of band sequential image files (BSQ). BSQ files are located in the Cube folders of each dataset together with HDR files containing metadata for each cube. The values of hyperspectral data cubes are in digital numbers, which can be recalculated to reflectance using the reflectance scaling factor. It is specified in the HDR files for each cube individually.


Datasheet of the dataset: https://drive.google.com/file/d/1QV5he5bGazAlN8A5Mpyl1xMc7lQcvy9W

Download links:
https://blueberry-dataset.s3.eu-west-1.amazonaws.com/2021-07-07.zip (60.48 GB)
https://blueberry-dataset.s3.eu-west-1.amazonaws.com/2021-07-16.zip (177.22 GB)
https://blueberry-dataset.s3.eu-west-1.amazonaws.com/2021-09-15.zip (81.12 GB)
DOI: 10.21227/3kde-v757
title: Replication Package of paper titled "Evaluating Performance and Resource Consumption of REST Frameworks and Execution Environments: Insights and Guidelines for Developers and Companies"

description: The REST (REpresentational State Transfer) paradigm has become essential for designing distributed applications that leverage the HTTP protocol, enabling efficient data exchange and the development of scalable architectures such as microservices. However, selecting an appropriate framework among the myriad available options, especially given the diversity of emerging execution environments, presents a significant challenge. Often, this decision neglects crucial factors such as performance and energy efficiency, favoring instead developer familiarity and popularity within the industry. To address this, we conducted a comprehensive benchmark study using a prototype REST API application provided by an industry partner, which was implemented multiple times using different REST API frameworks.We evaluated five different REST API frameworks across three popular programming languages, incorporating both traditional and emerging execution environments, resulting in twelve distinct configurations. Our results reveal significant differences in performance and computational resource consumption across different frameworks and execution environments, highlighting the necessity of making informed technology choices based on thorough analysis rather than convenience or familiarity. In addition to our findings, we offer other contributions to the field: an automated pipeline that benchmarks different configurations with various frameworks and execution environments, and a reference benchmark REST API that can be used in other studies. This research provides valuable insights and tools for developers and organizations aiming to select high-performance, resource-efficient technologies that promote environmental sustainability and reduce operational costs.
DOI: 10.5281/zenodo.8421764
title: Physical oceanography and meteorological data from the W1M3A observatory, Ligurian Sea (North Western Mediterranean) October 2023 - May 2024

description: Time series data of physical oceanography (salinity, temperature) and meteorology (atmospheric pressure, wind speed and direction, air temperature and humidity, shortwave radiation, longwave radiation and rain) collected from October 2023  up to May 2024 by observatory W1M3A at 1h interval. The file contains tabular data (tab delimited) with the following columns: TIME in UTC [yyyy-MM-ddThh:mm:ssZ]; Latitude [deg]; Longitude [deg]; nominal depth [m]; Atmospheric Pressure [hPa]; Wind speed [m/s]; Wind direction [deg]; Air Temperature [°C]; Relative air humidity [%]; Short wave Radiation [W/m2]; Long wave radiation [W/m2]; Rainfall [mm/h]; Sea temperature [°C];  Conductivity [mmS/cm]. Missing data are defined as NaN.
description: Data collection was partially funded by MUR within the Project PURE WIND under the call JPI Oceans 2022
DOI: 10.5281/zenodo.8421765
title: Physical oceanography and meteorological data from the W1M3A observatory, Ligurian Sea (North Western Mediterranean) October 2023 - May 2024

description: Time series data of physical oceanography (salinity, temperature) and meteorology (atmospheric pressure, wind speed and direction, air temperature and humidity, shortwave radiation, longwave radiation and rain) collected from October 2023  up to May 2024 by observatory W1M3A at 1h interval. The file contains tabular data (tab delimited) with the following columns: TIME in UTC [yyyy-MM-ddThh:mm:ssZ]; Latitude [deg]; Longitude [deg]; nominal depth [m]; Atmospheric Pressure [hPa]; Wind speed [m/s]; Wind direction [deg]; Air Temperature [°C]; Relative air humidity [%]; Short wave Radiation [W/m2]; Long wave radiation [W/m2]; Rainfall [mm/h]; Sea temperature [°C];  Conductivity [mmS/cm]. Missing data are defined as NaN.
description: Data collection was partially funded by MUR within the Project PURE WIND under the call JPI Oceans 2022
DOI: 10.15468/dl.rf55un
title: Occurrence Download

description: A dataset containing 1937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Syzygium malaccense (L.) Merr. & L.M.Perry"
 ]
}

 The dataset includes 1937 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024479-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utashv
title: Occurrence Download

description: A dataset containing 933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elaeocarpus grandis F.Muell."
 ]
}

 The dataset includes 933 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024480-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mgxnc
title: Occurrence Download

description: A dataset containing 1764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Syzygium eucalyptoides (F.Muell.) B.Hyland"
 ]
}

 The dataset includes 1764 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024481-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/b197d366-ca6c-4356-93d1-49fb61a7c90b
title: North East Atlantic Ocean - Eutrophication and Acidity aggregated datasets 1921/2022 v2024
title: North_East_Atlantic_Ocean_-_Eutrophication_and_Acidity_aggregated_datasets_1921/2022_v2024

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Northeast Atlantic Ocean (40W). Data were aggregated and quality controlled by 'IFREMER / IDM / SISMER - Scientific Information Systems for the SEA' in France.
ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets.
Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/.
When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.25 kg/L.
The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV).
DOI: 10.15468/dl.znwyt4
title: Occurrence Download

description: A dataset containing 3419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythrina fusca Lour."
 ]
}

 The dataset includes 3419 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024483-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvdy2t
title: Occurrence Download

description: A dataset containing 496 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monochamus alternatus Hope, 1843"
 ]
}

 The dataset includes 496 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024482-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12743333
title: Multiple DJI drone flights with thermal camera over Lithuanian forests in winter for wild boar detection

description: 5 Flight over multiple days in the evening time for better thermal conditions for boar detection.

Flight were conducted with DJI thermal cameras filmed at the speed of about 5m/s. Flights 1, 2, 4 and 5 were filmed at from 90m height with camera pointing straight down.Flight 3 was filmed at 120m height.

 

Link for Dataset download: https://art21-icaerus.s3.eu-central-1.amazonaws.com/Boars.zip
DOI: 10.5281/zenodo.12743334
title: Multiple DJI drone flights with thermal camera over Lithuanian forests in winter for wild boar detection

description: 5 Flight over multiple days in the evening time for better thermal conditions for boar detection.

Flight were conducted with DJI thermal cameras filmed at the speed of about 5m/s. Flights 1, 2, 4 and 5 were filmed at from 90m height with camera pointing straight down.Flight 3 was filmed at 120m height.

 

Link for Dataset download: https://art21-icaerus.s3.eu-central-1.amazonaws.com/Boars.zip
DOI: 10.15468/dl.9z4e5s
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.33705 -42.45559,158.66295 -42.45559,158.66295 -21.54441,106.33705 -21.54441,106.33705 -42.45559))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus accedens Fitzg."
 ]
}

 The dataset includes 467 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024485-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15161/oar.it/211584
title: Carta Geologica d'Italia alla scala 1:50.000, F. 029 Cortina d'Ampezzo

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1999 e il 2005) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/211585
title: Carta Geologica d'Italia alla scala 1:50.000, F. 029 Cortina d'Ampezzo

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1999 e il 2005) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15468/dl.pwcpmn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen)"
 ]
 }
 },
 "TaxonKey is 24445"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024486-240626123714530/datasets/export for details.
DOI: 10.15161/oar.it/211608
title: Carta Geologica d'Italia alla scala 1:50.000, F. 080 Riva del Garda

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1992 e il 1998) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/211609
title: Carta Geologica d'Italia alla scala 1:50.000, F. 080 Riva del Garda

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1992 e il 1998) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.6084/m9.figshare.26303590.v1
title: Supplementary Material for: The prognostic test accuracy of the short and standard forms of the Montreal Cognitive Assessment.

description: Introduction
Cognitive impairment is a critical concern in stroke care, and international guidelines recommend early cognitive screening. The aim of this study was to determine the prognostic accuracy of both the short and standard forms of the Montreal Cognitive Assessment in predicting long-term cognitive recovery following a stroke.

Methods
For this study, we used data from the "Efficacy of Fluoxetine – a Randomized Controlled Trial in Stroke" (EFFECTS) study, which encompassed stroke patients from 35 Swedish centers over the period from 2014 to 2019. Cognitive assessments were initially conducted at 2 to 15 days post-stroke, with follow-up data gathered at 6 months. We used the MoCA for objective cognitive evaluation. For assessing subjective cognitive impairment, we used the memory and thinking domain of the Stroke Impact Scale. For psychometric evaluation of the short Swedish version of MoCA (s-MoCA-SWE), we used cross tables and binary logistic regression.

Results
The study included 1141 patients (62.2% men; median [interquartile range, IQR] age, 72.3 [13.2] years; median [IQR] stroke severity, 3.0 [3.0]). At baseline, the prevalence of cognitive impairment was 71.7% according to the s-MoCA-SWE (≤12) and 67.0% according to the MoCA (≤25). The s-MoCA-SWE demonstrated a sensitivity of 92.3% for correctly identifying patients with objective cognitive impairment and 81.5% for identifying those with subjective impairments at 6 months. Although the s-MoCA-SWE had higher sensitivity, the MoCA had a more balanced sensitivity and specificity in detecting both subjective and objective cognitive impairments. In both crude and multivariable models, the s-MoCA-SWE was more strongly associated than the MoCA with cognitive impairment at 6 months.

Conclusions
Both the short and standard versions of the MoCA appear to be effective in identifying individuals likely to experience persistent cognitive issues following a stroke. Considering the limited time available in an acute stroke unit, the short-form version may be more practical. Nevertheless, further prospective studies are required to validate these findings.
DOI: 10.15468/dl.w5pc2r
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gabbiella humerosa (E.von Martens, 1879)"
 ]
}

 The dataset includes 289 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024488-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egjdkh
title: Occurrence Download

description: A dataset containing 293373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Malus Mill."
 ]
}

 The dataset includes 293373 records from 1736 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024473-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktxr54
title: Occurrence Download

description: A dataset containing 1234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alouatta pigra Lawrence, 1933",
 "Year 1985-2022"
 ]
}

 The dataset includes 1234 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144566-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhtrvw
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanopsis purpurea Barnett"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087990-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.