cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p86e2w
title: Occurrence Download

description: A dataset containing 4629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is one of (NevADA, Nevada, Nevada (NV), Nevada (State))",
 "TaxonKey is Bombus Latreille, 1802"
 ]
}

 The dataset includes 4629 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004033-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mt38z2
title: Occurrence Download

description: A dataset containing 5922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Swiss Psyllid (Hemiptera) Collections - Geneva)"
 ]
}

 The dataset includes 5922 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004034-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/3whdp6
title: Table_S08_metagenetic_combined_absoluteabundance.tab

description: This file contains the absolute abundance table (non-rarefied) of ASVs present in the combined samples before and after storage.
DOI: 10.57745/6uflm5
title: TableS04_16S_metagenetic_afterstorage.xlsx

description: Analysis of bacterial diversity through sequencing of the 16S rRNA V3-V4 region amplicons after storage, including tables for ASV abundance, ASV taxonomic assignment, and sample metadata for use with the phyloseq R package.
DOI: 10.57745/9gfff9
title: TableS07_16S_multi-affiliation.tab

description: This file contains the multi-taxonomic affiliations of ASVs from D0 (before storage) and D7 (after storage), assigned to multiple taxa present in the database (generated by Blast).
DOI: 10.57745/cjlrw5
title: TableS02_bacterial_quantification.tab

description: Agar-plate quantification of Campylobacter and the Total Aerobic Mesophilic Flora
DOI: 10.57745/djkglq
title: TableS03_16S_metagenetic_beforestorage.xlsx

description: Analysis of bacterial diversity through sequencing of the 16S rRNA V3-V4 region amplicons before storage, including tables for ASV abundance, ASV taxonomic assignment, and sample metadata for use with the phyloseq R package.
DOI: 10.57745/hkijss
title: TableS06_16S_metagenetic_combined_beforeafterstorage.tab

description: This file contains the ASV table, the taxonomic table, and the metadata for samples from before and after storage, combined and bioinformatically processed together to enable diversity and bacterial community composition analyses.
DOI: 10.57745/qowhrt
title: TableS01_sample_metadata.tab

description: Sample nomenclature and corresponding metadata
DOI: 10.57745/tbut4j
title: TableS02_bacterial_quantification.tab

description: Agar-plate quantification of Campylobacter and the Total Aerobic Mesophilic Flora
DOI: 10.57745/vtqgyo
title: TableS02_bacterial_quantificationV2.tab

description: Agar-plate quantification of Campylobacter and the Total Viable Count.
DOI: 10.57745/wuv16j
title: TableS05_README.txt

description: This document provides an overview of the dataset, sequencing methods, analyzed data, and metadata associated with the study of microbial diversity in broiler chicken samples.
DOI: 10.57745/xqrnog
title: TableS05_README.txt

description: This document provides an overview of the dataset, sequencing methods, analyzed data, and metadata associated with the study of microbial diversity in broiler chicken samples.
DOI: 10.15468/dl.dsvt4n
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allophryne relicta Caramaschi, Orrico, Faivovich, Dias & Solé, 2013"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004035-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26fkj4
title: Occurrence Download

description: A dataset containing 110125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is France",
 "GadmGid is FRA.11.2_1",
 "TaxonKey is Chiroptera",
 "Year 2019-2025"
 ]
}

 The dataset includes 110125 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004017-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15050777
title: Ben Johnston: Sonata for Microtonal Piano / Grindlemusic: Tuning system

description: Comparison of the information given by Johnston in the printed score and the mathematically calculated frequencies.
DOI: 10.5281/zenodo.15050926
title: Ben Johnston: String Quartet No. 2, 1st movement: structure of the twelve-tone rows

description: According to the sketch material (https://findingaids.library.northwestern.edu/repositories/3/archival_objects/237748), Johnston uses three different twelve-tone rows (a, b, c). He makes rearrangements (orange), uses notes from the previous row (yellow) and in some cases the rows are not complete (red).
DOI: 10.5281/zenodo.15051083
title: Ben Johnston: String Quartet No. 2, 1st movement: Main line of pure thirds fifths

description: The twelve-tone rows are overlaid by a main line of pure thirds and fifths. This line traverses the entire movement. Johnston makes the following errors:



m. 3,6: In Vc. the minus sign is in the wrong note: the correct note would be {Fx;d#-}.

m. 25,42∕5: The minus sign is missing in Vl. 1.

m. {40,22∕2;40,3}: Wrong connecting line between {eʹʹ;ebʹʹ}.

m. {47,3;47,4}: {d#ʹʹ;f#ʹʹ} is not a minor third but a semiditone. Since Johnston places a connecting line between these notes, it can be assumed that he made a mistake. He forgets the plus sign at f#ʹʹʹ and continues from this incorrect result.

m. {48.1;48.13∕3}: {h-;d#ʹʹ} is not a major third, but a ditone. As Johnston places a connecting line between these tones, it can be assumed that there is a mistake. This new mistake compensates for the one in m. 47.

m. 49.5: In the score, Johnston places a minus instead of a plus sign. Since Johnston places a connecting line between these notes, a mistake can be assumed.

m. {50,1;50,2}: {g+ʹʹ;ebʹ} is not a major third but an octaved ditone. Since Johnston places a connecting line between these notes, it can be assumed that there is a mistake. Johnston forgets the plus sign at ebʹ and continues from this incorrect result.

In the viola, the change of clef is announced at the end of the second-last line, but not confirmed on the last line.
DOI: 10.5281/zenodo.15096670
title: Marine litter and epibionts dataset generated in the "Ocean Travelers" project, coordinated by the Científicos de la Basura citizen science program

description: Data set generated by means of citizen science in the worldwide project "Ocean Travelers", coordinated in 2022 by the Científicos de la Basura citizen science program, in collaboration with the Smithsonian Environmental Research Center (SERC), the MarineGEO Program, and the MINKE Project.

The data set contains information about the marine litter items collected on beaches around the world, as well as about the marine organisms attached to them (epibionts).

For the time being this data set has restricted access, but if you are interested in these data, please contact Científicos de la Basura (cientificosdelabasura@gmail.com) or Nelson Vásquez (nelson.vasquez AT ucn.cl).
DOI: 10.5281/zenodo.15096671
title: Marine litter and epibionts dataset generated in the "Ocean Travelers" project, coordinated by the Científicos de la Basura citizen science program

description: Data set generated by means of citizen science in the worldwide project "Ocean Travelers", coordinated in 2022 by the Científicos de la Basura citizen science program, in collaboration with the Smithsonian Environmental Research Center (SERC), the MarineGEO Program, and the MINKE Project.

The data set contains information about the marine litter items collected on beaches around the world, as well as about the marine organisms attached to them (epibionts).

For the time being this data set has restricted access, but if you are interested in these data, please contact Científicos de la Basura (cientificosdelabasura@gmail.com) or Nelson Vásquez (nelson.vasquez AT ucn.cl).
DOI: 10.5281/zenodo.15050776
title: Ben Johnston: Sonata for Microtonal Piano / Grindlemusic: Tuning system

description: Comparison of the information given by Johnston in the printed score and the mathematically calculated frequencies.
DOI: 10.5281/zenodo.15024716
title: Input datacube for Chl-a Soft-sensor - Sentinel-2 Reflectance data from September to November 2024

description: The dataset is an input data cube created using bands from the Sentinel-2 satellite, designed for Chlorophyll-a (Chl-a) prediction in Yliki Lake.
DOI: 10.5281/zenodo.15024717
title: Input datacube for Chl-a Soft-sensor - Sentinel-2 Reflectance data from September to November 2024

description: The dataset is an input data cube created using bands from the Sentinel-2 satellite, designed for Chlorophyll-a (Chl-a) prediction in Yliki Lake.
DOI: 10.5281/zenodo.15054068
title: Dataset_A.Romani_2025_TDJ

description: Dataset of the work:

Anonymized. Under Review.
DOI: 10.5281/zenodo.11235683
title: Dataset_A.Romani_2025_TDJ

description: Dataset of the work:

Anonymized. Under Review.
DOI: 10.5281/zenodo.15097063
title: Dataset_TDJ_Anonymized_2025
DOI: 10.5281/zenodo.10171242
title: UAV Canyelles Vineyard Dataset 2023-06-09

description: The dataset includes the following components:



RGB(1-3): contains 1454 RGB images captured using a DJI Mavic 3M UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.

SHAPE: contains the shape file used in Metashape Agisoft to crop the pointcloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.

POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, NIR, G, RE and NDVI. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, NIR, G, RE and NDVI. All of them were generated using Metashape Agisoft and are in TIF format.

DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.


This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. 

Data collection took place on June 9th, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.5281/zenodo.10171243
title: UAV Canyelles Vineyard Dataset 2023-06-09

description: The dataset encompasses these Drone-Captured Image Folders:

NIR.tar.gz: A compilation of Near-Infrared (NIR) images of the flight.
CROPPED_RGB.tar.gz: A compilation of cropped RGB images from the original to match NIR size images.
SHAPE.tar.gz: It contains the Agisoft shape that defines the vineyard area as vineyard_shape.
POINTCLOUD.tar.gz: Point Clouds of the complete terrain and cropped vineyard area defined by vineyard_shape.
ORTHOMOSAICS.tar.gz: A folder containing the following:

ORTHOMOSAIC.tar.gz: RGB orthomosaic images of the complete terrain and the cropped vineyard area defined by vineyard_shape.
R_ORTHOMOSAIC.tar.gz: Multispectral R orthomosaic images of the complete terrain and the cropped vineyard area defined by vineyard_shape. 
NIR_ORTHOMOSAIC.tar.gz: NIR orthomosaic images of the complete terrain and the cropped vineyard area defined by vineyard_shape.
The data collection procedure involved flying the DJI MAVIC 3M drone over the vineyard in Canyelles in Catalonia, Spain. The flight took place under sunny weather conditions with an average temperature of 26 degrees Celsius.
DOI: 10.5281/zenodo.15013721
title: UAV Canyelles Vineyard Dataset 2023-06-09

description: The dataset includes the following components:



RGB(1-3): contains 1454 RGB images captured using a DJI Mavic 3M UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.

SHAPE: contains the shape file used in Metashape Agisoft to crop the pointcloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.

POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, NIR, G, RE and NDVI. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, NIR, G, RE and NDVI. All of them were generated using Metashape Agisoft and are in TIF format.

DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.


This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. 

Data collection took place on June 9th, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.5281/zenodo.15064455
title: UAV Canyelles Vineyard Dataset 2023-06-09

description: The dataset includes the following components:



RGB(1-3): contains 1454 RGB images captured using a DJI Mavic 3M UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.

SHAPE: contains the shape file used in Metashape Agisoft to crop the pointcloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.

POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, NIR, G, RE and NDVI. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, NIR, G, RE and NDVI. All of them were generated using Metashape Agisoft and are in TIF format.

DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.


This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. 

Data collection took place on June 9th, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.17632/5ckbwmz5tt.1
title: 10.1016/j.clinph.2024.02.034

description: Raw data of "Resting-state EEG rhythms are abnormal in post COVID-19 patients with brain fog without cognitive and affective disorders" Doi 10.1016/j.clinph.2024.02.034
DOI: 10.5281/zenodo.15020150
title: UAV Canyelles Vineyard Dataset 2023-07-28

description: The dataset includes the following components:



RGB(1-3): contains 1473 RGB images captured using a DJI Mavic 3M UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.

SHAPE: contains the shape file used in Metashape Agisoft to crop the pointcloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.

POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, G and RE. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, G and RE. All of them were generated using Metashape Agisoft and are in TIF format.

DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.


This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. 

Data collection took place on July 28th, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.5281/zenodo.15020149
title: UAV Canyelles Vineyard Dataset 2023-07-28

description: The dataset includes the following components:



RGB(1-3): contains 1473 RGB images captured using a DJI Mavic 3M UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.

SHAPE: contains the shape file used in Metashape Agisoft to crop the pointcloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.

POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, G and RE. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, G and RE. All of them were generated using Metashape Agisoft and are in TIF format.

DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.


This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. 

Data collection took place on July 28th, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.5281/zenodo.15075338
title: UAV Canyelles Vineyard Dataset 2023-07-28

description: The dataset includes the following components:



RGB(1-3): contains 1473 RGB images captured using a DJI Mavic 3M UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.

SHAPE: contains the shape file used in Metashape Agisoft to crop the pointcloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.

POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, G and RE. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, G and RE. All of them were generated using Metashape Agisoft and are in TIF format.

DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.


This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. 

Data collection took place on July 28th, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.15468/dl.ae32xe
title: Occurrence Download

description: A dataset containing 26143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Partial Amphibians Collection)"
 ]
}

 The dataset includes 26143 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004037-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14618407
title: Data for defining the limits of plant chemical space: challenges and estimations
DOI: 10.5281/zenodo.14618408
title: Data for defining the limits of plant chemical space: challenges and estimations
DOI: 10.5281/zenodo.14940366
title: Data for defining the limits of plant chemical space: challenges and estimations
DOI: 10.17632/g38ydvnbvd.1
title: 10.1016/j.ijbiomac.2024.134390

description: Raw data of "Structural studies of KCTD1 and its disease-causing mutant P20S provide insights into the protein function and misfunction" Doi 10.1016/j.ijbiomac.2024.134390
DOI: 10.15468/dl.5wd4vd
title: Occurrence Download

description: A dataset containing 1257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.6_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cladonia P.Browne, 1756"
 ]
}

 The dataset includes 1257 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004038-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5jd4s
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-33.13023 35.62974,-23.29035 35.62974,-23.29035 41.00447,-33.13023 41.00447,-33.13023 35.62974))",
 "TaxonKey is Silene vulgaris subsp. vulgaris",
 "Year 1975-2025"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004039-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/35hp-1s22
title: Dataset

description: The growing intricacy of investment decisions in unpredictable economic conditions underscores the importance of comprehending the fundamental psychological factors that shape investor behavior and preferences. For this purpose, this research illustrates the impact of personal saving orientation in elucidating the impact of flow experience and social support, desire for learning on investment decisions. The research assesses a proposed model grounded in the Theory of Planned Behavior (TPB) by collecting questionnaire data from 516 investors using the PLS-SEM technique...
DOI: 10.21227/dkez-k146
title: Dataset

description: The growing intricacy of investment decisions in unpredictable economic conditions underscores the importance of comprehending the fundamental psychological factors that shape investor behavior and preferences. For this purpose, this research illustrates the impact of personal saving orientation in elucidating the impact of flow experience and social support, desire for learning on investment decisions. The research assesses a proposed model grounded in the Theory of Planned Behavior (TPB) by collecting questionnaire data from 516 investors using the PLS-SEM technique...
DOI: 10.15468/dl.hmzffu
title: Occurrence Download

description: A dataset containing 188801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Geneva Herbarium – General Collection (G))"
 ]
}

 The dataset includes 188801 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004030-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh2z7n
title: Occurrence Download

description: A dataset containing 3256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lyrurus tetrix (Linnaeus, 1758), Tetrao tetrix Linnaeus, 1758)",
 "Year is not null",
 "Year is one of (2020, 2021, 2022, 2023, 2024)",
 "HasCoordinate is TRUE",
 "DecimalLatitude is greater than or equal to 50.57331501591691",
 "DecimalLatitude is less than or equal to 55.05737499791894",
 "DecimalLongitude is greater than or equal to 5.865999",
 "DecimalLongitude is less than or equal to 11.412317117646339",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 3256 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004041-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.