cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30992581.v1
title: Standardized precipitation index (SPI) data over Quebec and Abitibi-Témiscamingue

description: This study assesses historical and projected drought conditions across the Abitibi-Témiscamingue (AT) region of Quebec for the period 1991-2100 using the Standardized Precipitation Index (SPI) and precipitation data derived from CMIP6 climate models under three Shared Socioeconomic Pathways (SSP2-4.5, SSP3-7.0, and SSP5-8.5) culled from Ouranos for all the five regional country municipalities (RCMs) of AT. Results show that although total annual precipitation is projected to increase across all RCMs, this increase does not uniformly mitigate drought risk. The analysis reveals spatial disparities in both historical and projected drought severity, with northern municipalities—specifically Abitibi, West Abitibi, and Rouyn-Noranda—consistently experiencing more frequent and intense droughts compared to southern municipalities such as Vallée-de-l’Or and Témiscamingue. Under SSP2-4.5 and SSP3-7.0, SPI values indicate mildly to moderately dry conditions persisting in these northern regions up to 2100, with Rouyn-Noranda exhibiting the most negative SPI values (reaching -1.40). In contrast, Vallée-de-l’Or and Témiscamingue maintain positive SPI values, suggesting conditions ranging from near normal to moderately wet. Interestingly, SPI projections under the high-emission SSP5-8.5 scenario do not show additional drought intensification beyond those observed under SSP3-7.0, indicating a possible saturation in SPI response or the influence of regional water management adaptations. While increased precipitation under higher emissions may appear beneficial, the SPI’s exclusion of temperature-driven evapotranspiration could limit its ability to capture the full scope of drought risk. These findings highlight the persistence of mild to moderate drought conditions in northern AT, the normalization of water stress in vulnerable municipalities, and the urgent need to consider both climatic and socio-demographic factors in regional adaptation strategies. This research contributes to understanding of how climate change will shape hydroclimatic extremes in high-latitude continental regions of Canada.<br>
DOI: 10.5281/zenodo.15652667
title: UruDendro3a, a public dataset of 9 cross-section images and manual annual ring delineations of Gleditsia triachantos L.

description: If you use this dataset please cite the DeepCS-TRD manuscript.

Method

Image and annotations can be inspected using the TRAS tool developed during the project.  

1) Open TRAS

2) Open Image

3) File>Load Annotations

 

Harvest Site

UruDendro3a is a dataset of nine RGB images of G. triacanthos, an angiospermspecies. Discs were harvested from the different campaigns. 

Image Acquisition

UruDendro3a photographs were acquired in a laboratory under uncontrolled illumination conditions. The wood discs were sanded using anelectric sander in both cases.  Images were captured with a Nikon D3100 camera positioned approximately 50cm from the wood surface. The minimum and maximum image width is 4608 pixels.

Sample code from the UruDendro3a dataset follows the structure gtX, where X is an integeridentifying the order in which the disc samples were photographed.

Annotation Details

The software tool used to generate the annotations was Labelme , which produces closed polygons defined by a set of vertices. We worked with two types of annotations:those corresponding to annual ring boundaries or earlywood–latewood boundaries, and those corresponding to reaction wood.

 
description: File structure

In general, the file structure for each collection goes as follows:



images/ - Folder with the image samples

images_no_background/ - Folder with the images after the background has been removed

annotations/– annual_rings/ - Annual ring annotations– earlywood_latewood/ - Earlywood-Latewood boundary annotations– reaction_wood/ - Reaction wood annotations

pith_location.txt - file with the pith pixel location for each image


Where each sample has a unique code. For example, sample F02c has five different files:



images/F02c.jpg

images_no_background/F02c.jpg

annotations/annual_rings/F02c.json

annotations/earlywood-latewood/F02c.json

annotations/reaction_wood/F02c.json
DOI: 10.5281/zenodo.15652668
title: UruDendro3a, a public dataset of 9 cross-section images and manual annual ring delineations of Gleditsia triachantos L.

description: If you use this dataset please cite the DeepCS-TRD manuscript.

Method

Image and annotations can be inspected using the TRAS tool developed during the project.  

1) Open TRAS

2) Open Image

3) File>Load Annotations

 

Harvest Site

UruDendro3a is a dataset of nine RGB images of G. triacanthos, an angiospermspecies. Discs were harvested from the different campaigns. 

Image Acquisition

UruDendro3a photographs were acquired in a laboratory under uncontrolled illumination conditions. The wood discs were sanded using anelectric sander in both cases.  Images were captured with a Nikon D3100 camera positioned approximately 50cm from the wood surface. The minimum and maximum image width is 4608 pixels.

Sample code from the UruDendro3a dataset follows the structure gtX, where X is an integeridentifying the order in which the disc samples were photographed.

Annotation Details

The software tool used to generate the annotations was Labelme , which produces closed polygons defined by a set of vertices. We worked with two types of annotations:those corresponding to annual ring boundaries or earlywood–latewood boundaries, and those corresponding to reaction wood.

 
description: File structure

In general, the file structure for each collection goes as follows:



images/ - Folder with the image samples

images_no_background/ - Folder with the images after the background has been removed

annotations/– annual_rings/ - Annual ring annotations– earlywood_latewood/ - Earlywood-Latewood boundary annotations– reaction_wood/ - Reaction wood annotations

pith_location.txt - file with the pith pixel location for each image


Where each sample has a unique code. For example, sample F02c has five different files:



images/F02c.jpg

images_no_background/F02c.jpg

annotations/annual_rings/F02c.json

annotations/earlywood-latewood/F02c.json

annotations/reaction_wood/F02c.json
DOI: 10.5281/zenodo.18109486
title: Data for rotating penetrative plume

description: The ZIP file contains x–z cross-sections along y=0 for all non-rotating simulations.

The remaining files provide y-averaged fields from the rotating simulations, which were used to generate the cross-section figures in the main text.

Because the full dataset (including three-dimensional fields) is too large to be archived here, these data are available from the authors upon reasonable request.
DOI: 10.5281/zenodo.18109485
title: Data for rotating penetrative plume

description: The ZIP file contains x–z cross-sections along y=0 for all non-rotating simulations.

The remaining files provide y-averaged fields from the rotating simulations, which were used to generate the cross-section figures in the main text.

Because the full dataset (including three-dimensional fields) is too large to be archived here, these data are available from the authors upon reasonable request.
DOI: 10.5281/zenodo.15652451
title: UruDendro2, a public dataset of 53 cross-section images and manual annual ring delineations of Pinus taeda L.

description: If you use this dataset please cite the DeepCS-TRD manuscript.

Method

Image and annotations can be inspected using the TRAS tool developed during the project.  

1) Open TRAS

2) Open Image

3) File>Load Annotations

 

Harvest Site

The samples were collected in Curticeiras, Department of Rivera, Uruguay, during 2022 (18 samples) and 2023 (35 samples) as part of a harvesting operation managed by a local lumber company. The sampling locations correspond to the following coordinates: 31°17'45" S, 55°41'42" W; 31°10'4" S, 55°39'42" W (18 samples); and 31°01'11.37" S, 55°31'55.81" W (35 samples). In total, 53 cross-section samples were obtained.

The site is classified under the CONEAT 7.31 group and is characterized by being located on the Tacuarembó Sandstone geological formation. It presents slopes ranging from 6% to 10%, very good drainage, and deep soils reaching up to 180–200 cm in the B horizon.

Image Acquisition

The UruDendro1 collection was expanded with 53 new images captured under laboratory conditions using an iPhone 6S (12 MP RGB sensor) positioned at a distance of 43 to 51 cm from the wood cross-section, and illuminated with a 35 W LED ring light. The surface preparation of the samples varied: some were cut using a chainsaw, others were smoothed with a handheld planer, and several were further polished with a rotary sander. All images were acquired indoors. The image widths range from a minimum of 2267 pixels to a maximum of 3024 pixels.

 

Sample codes follow the structure: 

XY

Where X denotes the diameter class to which the disc belongs (A, B, or C; see table), and Y corresponds to the sample identifier.




Class A
Class B
Class C


35-40 cm
40.1-45 cm
45.1-50 cm




 

Annotation Details

The software tool used to generate the annotations was Labelme , which produces closed polygons defined by a set of vertices. We worked with two types of annotations:those corresponding to annual ring boundaries or earlywood–latewood boundaries, and those corresponding to reaction wood.

 

 

 
description: File structure

In general, the file structure for each collection goes as follows:



images/ - Folder with the image samples

images_no_background/ - Folder with the images after the background has been removed

annotations/– annual_rings/ - Annual ring annotations– earlywood_latewood/ - Earlywood-Latewood boundary annotations– reaction_wood/ - Reaction wood annotations

pith_location.txt - file with the pith pixel location for each image


Where each sample has a unique code. For example, sample F02c has five different files:



images/F02c.jpg

images_no_background/F02c.jpg

annotations/annual_rings/F02c.json

annotations/earlywood-latewood/F02c.json

annotations/reaction_wood/F02c.json
DOI: 10.5281/zenodo.15652452
title: UruDendro2, a public dataset of 53 cross-section images and manual annual ring delineations of Pinus taeda L.

description: If you use this dataset please cite the DeepCS-TRD manuscript.

Method

Image and annotations can be inspected using the TRAS tool developed during the project.  

1) Open TRAS

2) Open Image

3) File>Load Annotations

 

Harvest Site

The samples were collected in Curticeiras, Department of Rivera, Uruguay, during 2022 (18 samples) and 2023 (35 samples) as part of a harvesting operation managed by a local lumber company. The sampling locations correspond to the following coordinates: 31°17'45" S, 55°41'42" W; 31°10'4" S, 55°39'42" W (18 samples); and 31°01'11.37" S, 55°31'55.81" W (35 samples). In total, 53 cross-section samples were obtained.

The site is classified under the CONEAT 7.31 group and is characterized by being located on the Tacuarembó Sandstone geological formation. It presents slopes ranging from 6% to 10%, very good drainage, and deep soils reaching up to 180–200 cm in the B horizon.

Image Acquisition

The UruDendro1 collection was expanded with 53 new images captured under laboratory conditions using an iPhone 6S (12 MP RGB sensor) positioned at a distance of 43 to 51 cm from the wood cross-section, and illuminated with a 35 W LED ring light. The surface preparation of the samples varied: some were cut using a chainsaw, others were smoothed with a handheld planer, and several were further polished with a rotary sander. All images were acquired indoors. The image widths range from a minimum of 2267 pixels to a maximum of 3024 pixels.

 

Sample codes follow the structure: 

XY

Where X denotes the diameter class to which the disc belongs (A, B, or C; see table), and Y corresponds to the sample identifier.




Class A
Class B
Class C


35-40 cm
40.1-45 cm
45.1-50 cm




 

Annotation Details

The software tool used to generate the annotations was Labelme , which produces closed polygons defined by a set of vertices. We worked with two types of annotations:those corresponding to annual ring boundaries or earlywood–latewood boundaries, and those corresponding to reaction wood.

 

 

 
description: File structure

In general, the file structure for each collection goes as follows:



images/ - Folder with the image samples

images_no_background/ - Folder with the images after the background has been removed

annotations/– annual_rings/ - Annual ring annotations– earlywood_latewood/ - Earlywood-Latewood boundary annotations– reaction_wood/ - Reaction wood annotations

pith_location.txt - file with the pith pixel location for each image


Where each sample has a unique code. For example, sample F02c has five different files:



images/F02c.jpg

images_no_background/F02c.jpg

annotations/annual_rings/F02c.json

annotations/earlywood-latewood/F02c.json

annotations/reaction_wood/F02c.json
DOI: 10.34740/kaggle/dsv/14375894
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34740/kaggle/dsv/14375924
title: Indonesian Hoax News Dataset
DOI: 10.15468/dl.fg64fx
title: Occurrence Download

description: A dataset containing 9630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripsacum dactyloides",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9630 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071347-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpg85c
title: Occurrence Download

description: A dataset containing 20272932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spinus tristis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 20272932 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071336-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18135243
title: Developing an Integrated Threat Classification Engine for Hierarchical Raw Event Correlation: Bridging the Gap Between Correlation and Active Response
DOI: 10.5281/zenodo.18135244
title: Developing an Integrated Threat Classification Engine for Hierarchical Raw Event Correlation: Bridging the Gap Between Correlation and Active Response
DOI: 10.15468/dl.7yzxys
title: Occurrence Download

description: A dataset containing 1905183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Tricholomopsis rutilans, Tricholoma portentosum, Suillus granulatus, Sparassis crispa, Schizophyllum commune, Rhizopogon roseolus, Pleurotus ostreatus, Trichaptum biforme, Neolentinus lepideus, Morchella esculenta, Merulius tremellosus, Meripilus giganteus, Marasmius oreades, Lycoperdon perlatum, Laetiporus sulphureus, Lactarius deliciosus, Inonotus hispidus, Hymenopellis radicata, Hydnum repandum, Hericium erinaceus, Hericium coralloides, Grifola frondosa, Ganoderma lucidum, Fomitopsis pinicola, Fomitopsis betulina, Fomes fomentarius, Flammulina velutipes, Fistulina hepatica, Daldinia concentrica, Cyclocybe cylindracea, Craterellus cornucopioides, Cordyceps militaris, Coprinus comatus, Lepista nuda, Clitocybe nebularis, Cantharellus cibarius, Calvatia gigantea, Calocybe gambosa, Boletus edulis, Bjerkandera adusta, Auricularia mesenterica, Auricularia judae, Armillaria mellea, Amanita caesarea, Aleuria aurantia, Agaricus campestris)"
 ]
}

 The dataset includes 1905183 records from 1250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071341-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive149291.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149307.20241212.9.2
title: Mycobacterium bovis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149362.20241212.9.2
title: Mycobacterium alvei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149367.20241212.9.2
title: Actinomyces naeslundii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149434.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149435.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149436.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149437.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149438.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149439.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.n2uwxw
title: Occurrence Download

description: A dataset containing 16575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mahonia aquifolium (Pursh) Nutt., Elodea nuttallii (Planch.) H.St.John, Epilobium ciliatum Raf., Erigeron canadensis L., Reynoutria sachalinensis (F.Schmidt) Nakai, Helianthus tuberosus L., Heracleum mantegazzianum Sommier & Levier, Impatiens glandulifera Royle, Impatiens parviflora DC., Linaria vulgaris Mill., Myriophyllum aquaticum (Vell.) Verdc., Populus ×canadensis Moench, Prunus serotina Ehrh., Reynoutria japonica Houtt., Rhus typhina L., Robinia pseudoacacia L., Senecio inaequidens DC., Spirodela polyrhiza (L.) Schleid.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (Luxembourg)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16575 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010523-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive149440.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149459.20241212.9.2
title: Clostridioides difficile

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149461.20241212.9.2
title: Clostridioides difficile

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149544.20241212.9.2
title: Weissella confusa

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149668.20241212.9.2
title: Mycobacterium africanum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149679.20241212.9.2
title: Bordetella pertussis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149701.20241212.9.2
title: Moraxella bovis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149766.20241212.9.2
title: Capnocytophaga canimorsus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149778.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149796.20241212.9.2
title: Vibrio alginolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149800.20241212.9.2
title: Vibrio vulnificus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149809.20241212.9.2
title: Mannheimia sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149810.20241212.9.2
title: Mannheimia glucosida

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149811.20241212.9.2
title: Mannheimia glucosida

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149812.20241212.9.2
title: Mannheimia glucosida

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149814.20241212.9.2
title: Mannheimia sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149817.20241212.9.2
title: Mannheimia ruminalis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.rtakaa
title: Occurrence Download

description: A dataset containing 1788 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Israel",
 "Country is Egypt"
 ]
 },
 "TaxonKey is Retama raetam (Forssk.) Webb & Berthel."
 ]
}

 The dataset includes 1788 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119088-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.