cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29228876.v1
title: Single-cell Populus Hybrid integrated dataset<i> </i>produced in "Single-nucleus transcriptomics revealed auxin-driven mechanisms of wood plasticity to enhance severe drought tolerance in poplar".

description: Drought significantly affects forests and woody crops by limiting their growth, increasing their susceptibility to diseases, and reducing productivity. Wood anatomical plasticity is a crucial adaptive mechanism that enables trees to cope with fluctuations in water availability. During severe drought, trees develop more and narrower vessels, enhancing hydraulic safety and reducing the risk of embolism. However, the molecular regulation of vessel formation is still not well understood. Using single-nucleus transcriptomics, we generated a cell type-specific gene expression map of the mature poplar stem under well-watered and drought conditions. Our findings revealed extensive gene expression reprogramming in xylem-forming cells, with changes in auxin homeostasis identified as a key mechanism for anatomical adaptation. Specifically, we showed that poplar <i>WAT1</i>-like genes control vessel spatial patterning. Additionally, the downregulation of <i>WAT1</i>-like gene expression in the dividing cells of the vascular cambium and the upregulation of <i>MP</i>-like gene in cells undergoing early vessel differentiation facilitate the formation of secondary xylem with narrower and more numerous vessels under drought. Furthermore, the <i>wat2</i> mutant exhibited greater drought tolerance than wild-type trees, underscoring its potential for developing drought-resilient tree varieties. These insights enhance our understanding of xylem plasticity and provide valuable targets for improving drought tolerance in woody plants.
DOI: 10.6073/pasta/eb56765417b7156cb178c73d963c7283
title: Daily summer riverine and groundwater pCO2, dissolved oxygen, and ecosystem metabolism from sites along the Alaska Beaufort Sea coast, 2019-2022

description: Three riverine systems near Utqiaġvik, Alaska, are sampled regularly by the Beaufort Lagoon Ecosystems LTER (BLE LTER) Core Program in order to investigate biogeochemical linkages between terrestrial, lagoon, and open ocean ecosystems. Sampling includes one intermediate river, Avak Creek, and two smaller streams: the Mayoeak River (thermokarst stream) and a beaded stream. In 2019, 2021, and 2022, we performed additional sampling at these core program sites, with continuous monitoring of the streams between late June and August. Continuous measurements included riverine discharge, pCO₂, dissolved oxygen (DO), and ecosystem production, along with periodic grab samples of dissolved organic carbon (DOC). In 2022, there was also monitoring of groundwater wells at the two streams, capturing continuous hydraulic head and groundwater pCO₂, in addition to grab samples for DOC. Daily averages of continuous data and DOC laboratory results are presented for surface water and groundwater. This dataset is not part of the BLE Core Program and is not currently planned as an ongoing effort.
DOI: 10.5281/zenodo.15576460
title: 7 shed

description: 📦 Segmentation Dataset 

This repository contains a dataset labeled with Roboflow in YOLOv8 segmentation format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: YOLOv8 Segmentation-Number of classes: 10-Number of picture: 340-Annotation source: Roboflow-Annotation type: Masks for segmentation tasks

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── data.yaml├── README.dataset.txt └── README.roboflow.txt
DOI: 10.5281/zenodo.15576461
title: 7 shed

description: 📦 Segmentation Dataset 

This repository contains a dataset labeled with Roboflow in YOLOv8 segmentation format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: YOLOv8 Segmentation-Number of classes: 10-Number of picture: 340-Annotation source: Roboflow-Annotation type: Masks for segmentation tasks

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── data.yaml├── README.dataset.txt └── README.roboflow.txt
DOI: 10.5281/zenodo.15576469
title: 7 shed P

description: 📦 Segmentation Dataset PASCAL

This repository contains a dataset labeled with Roboflow in PASCAL VOC format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: XML PASCAL VOC-Number of classes: 10-Number of picture: 340-Annotation source: Roboflow-Annotation type: Pascal VOC standard

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── README.dataset.txt └── README.roboflow.txt
DOI: 10.5281/zenodo.15576468
title: 7 shed P

description: 📦 Segmentation Dataset PASCAL

This repository contains a dataset labeled with Roboflow in PASCAL VOC format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: XML PASCAL VOC-Number of classes: 10-Number of picture: 340-Annotation source: Roboflow-Annotation type: Pascal VOC standard

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── README.dataset.txt └── README.roboflow.txt
DOI: 10.15468/dl.k4h4kr
title: Occurrence Download

description: A dataset containing 14265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubalus bubalis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14265 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018422-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpmwwp
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018421-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dge2s
title: Occurrence Download

description: A dataset containing 793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Egypt",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758",
 "Year 2005-2025"
 ]
}

 The dataset includes 793 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021503-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/q1hz-b587
title: JWST NIRCam ERS HD 141569A

description: This data is NIRCam Coronagraphic data for HD 141569A obtained as part of ERS Program 1386.
DOI: 10.15468/dl.7wywxt
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Projet de ferme pilote d'éoliennes flottantes du golfe du Lion et de son raccordement électrique - Oiseaux marins - Inventaire standardisé"
 ]
}

 The dataset includes 81 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025632-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/m57x-cr16
title: "VGGSound-Solo"

description: "We select single sound source samples from the VGGSound dataset, with source positions manually annotated at a rate of once per second."
DOI: 10.15468/dl.889685
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025186-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8367809
title: Model output used in the manuscript "The evolution of a non-autonomous chaotic system under non-periodic forcing: a climate change example"

description: This *.zip file contains the model output from ensemble simulations for the Lorenz 84-Stommel 61 model (Van Veen et al, 2001; Daron and Stainforth, 2013). To run these simulations, we used the Low-EFFourth ensemble generator (de Melo Viríssimo, 2025a; de Melo Viríssimo, 2025b), which is a MATLAB-based framework that allows for large ensembles of low-dimensional dynamical systems to be run and studied in a systematic way (de Melo Viríssimo and Stainforth, 2023).

These model outputs are presented and discussed in the article "The evolution of a non-autonomouys chaotic system under non-periodic forcing: a climate change example", published by Chaos (de Melo Viríssimo et al., 2024). The manuscript describes the experiments performed, the parameter values used and the modifications done to the original L84-S61 model. For this matter, we also refer you to Daron and Stainforth (2013).

All files uploaded were generated from simulations run by the authors.

For specific information about each file uploaded, please refer to the README file. If you have any questions, please feel free to contact me.

Note: This version (v1.1) is the same version as v1.0 but with the correct README file.
description: Version (v1.1) is the same version as v1.0 but with the correct README file.
DOI: 10.5281/zenodo.8368020
title: Model output used in the manuscript "The evolution of a non-autonomous chaotic system under non-periodic forcing: a climate change example"

description: This *.zip file contains the model output from ensemble simulations for the Lorenz 84-Stommel 61 model (Van Veen et al, 2001; Daron and Stainforth, 2013). To run these simulations, we used the Low-EFFourth ensemble generator (de Melo Viríssimo, 2025a; de Melo Viríssimo, 2025b), which is a MATLAB-based framework that allows for large ensembles of low-dimensional dynamical systems to be run and studied in a systematic way (de Melo Viríssimo and Stainforth, 2023).

These model outputs are presented and discussed in the article "The evolution of a non-autonomouys chaotic system under non-periodic forcing: a climate change example", published by Chaos (de Melo Viríssimo et al., 2024). The manuscript describes the experiments performed, the parameter values used and the modifications done to the original L84-S61 model. For this matter, we also refer you to Daron and Stainforth (2013).

All files uploaded were generated from simulations run by the authors.

For specific information about each file uploaded, please refer to the README file. If you have any questions, please feel free to contact me.

Note: This version (v1.1) is the same version as v1.0 but with the correct README file.
description: Version (v1.1) is the same version as v1.0 but with the correct README file.
DOI: 10.1594/pangaea.982238
title: Passive acoustic monitoring data recorded by recorder SV1006 at mooring AWI227-15 in the Weddell Sea, Southern Ocean, in 2018/2019

description: Passive acoustic monitoring (PAM) data were collected by recorder SV1006 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 59.0503° S, 0.1073° W, mooring AWI227-15, in the Weddell Sea, Atlantic sector of the Southern Ocean. During a deployment period from December 2018 to March 2022, passive acoustic data were collected from December 2018 to February 2019 (recording period) by SV1006 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 285 m depth and scheduled to record continuously at a sample rate of 24,000 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
description: Each daily .tar contains the 10-minute audio files (.wav format) collected during the respective day.
DOI: 10.17632/n45tp5t8v7
title: The effect of melatonin mouthwash on prevention of chemotherapy-induced oral mucositis, a randomized double blinded placebo controlled clinical trial

description: This study was conducted to investigate the effect of melatonin mouthwash on the prevention of chemotherapy-induced oral mucositis. The attached Excel file contains raw data from the study of 70 participating patients. It includes demographic details, mucositis severity, pain intensity, quality of life, and other relevant data.
DOI: 10.17632/n45tp5t8v7.1
title: The effect of melatonin mouthwash on prevention of chemotherapy-induced oral mucositis, a randomized double blinded placebo controlled clinical trial

description: This study was conducted to investigate the effect of melatonin mouthwash on the prevention of chemotherapy-induced oral mucositis. The attached Excel file contains raw data from the study of 70 participating patients. It includes demographic details, mucositis severity, pain intensity, quality of life, and other relevant data.
DOI: 10.15468/dl.mxygx6
title: Occurrence Download

description: A dataset containing 5069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer grandidentatum Nutt. ex Torr. & A.Gray)",
 "StateProvince is one of (Arizona, Colorado, Idaho, Mexico Northeast, Mexico Northwest, Montana, Nevada, New Mexico, Oklahoma, Texas, Utah, Wyoming)"
 ]
}

 The dataset includes 5069 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022378-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j57yv3
title: Occurrence Download

description: A dataset containing 1482 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Varronia multispicata (Cham.) Borhidi"
 ]
}

 The dataset includes 1482 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022377-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4fywv
title: Occurrence Download

description: A dataset containing 285315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is European Seabirds At Sea (ESAS)",
 "Country is Belgium"
 ]
}

 The dataset includes 285315 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022361-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syggkn
title: Occurrence Download

description: A dataset containing 12134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opuntia engelmannii Salm-Dyck ex Engelm."
 ]
}

 The dataset includes 12134 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018423-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6agdbb
title: Occurrence Download

description: A dataset containing 3315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-38.96839 -13.30321,-39.11493 -13.29746,-39.1169 -13.47065,-38.92905 -13.47925,-38.89659 -13.47734,-38.92905 -13.30321,-38.96839 -13.30321))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3315 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018425-250525065834625/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.29226134
title: Functional and phylogenetic similarity between native and non-native plant species along an elevational gradient in the central Chilean Andes: No evidence for the preadaptation hypothesis.

description: Anic, V., Mihoč, M., Valencia, G., Reyes-Bahamonde, C., Bravo, L.A., Sáez, P.L., Pauchard, A., & Cavieres, L.A. (2025) Data from: Functional and phylogenetic similarity between native and non-native plant species along an elevational gradient in the central Chilean Andes: No evidence for the preadaptation hypothesis.Mean phylogenetic (MPD) and functional (MFD) distances of non-native plant species relative to native species along an elevational gradient in the central Chilean Andes. Six leaf functional traits of individuals of 117 species found along the elevational gradient are also shown.
DOI: 10.6084/m9.figshare.29226134.v1
title: Functional and phylogenetic similarity between native and non-native plant species along an elevational gradient in the central Chilean Andes: No evidence for the preadaptation hypothesis.

description: Anic, V., Mihoč, M., Valencia, G., Reyes-Bahamonde, C., Bravo, L.A., Sáez, P.L., Pauchard, A., & Cavieres, L.A. (2025) Data from: Functional and phylogenetic similarity between native and non-native plant species along an elevational gradient in the central Chilean Andes: No evidence for the preadaptation hypothesis.Mean phylogenetic (MPD) and functional (MFD) distances of non-native plant species relative to native species along an elevational gradient in the central Chilean Andes. Six leaf functional traits of individuals of 117 species found along the elevational gradient are also shown.
DOI: 10.6084/m9.figshare.29226134.v2
title: Functional and phylogenetic similarity between native and non-native plant species along an elevational gradient in the central Chilean Andes: No evidence for the preadaptation hypothesis.

description: Anic, V., Mihoč, M., Valencia, G., Reyes-Bahamonde, C., Bravo, L.A., Sáez, P.L., Pauchard, A., & Cavieres, L.A. (2025) Data from: Functional and phylogenetic similarity between native and non-native plant species along an elevational gradient in the central Chilean Andes: No evidence for the preadaptation hypothesis.Mean phylogenetic (MPD) and functional (MFD) distances of non-native plant species relative to native species along an elevational gradient in the central Chilean Andes. Six leaf functional traits of individuals of 117 species found along the elevational gradient are also shown.
DOI: 10.5281/zenodo.15587346
title: Investigating Murderers Along a Victim Continuum

description: This repository contains the simulated dataset and code used in the research study titled **"Investigating Murderers Along a Victim Continuum: An Analysis of Single and Multiple Killers."** The study explores whether murderers fall along a continuous behavioral spectrum rather than into discrete categories like 'single-event' or 'serial' killers.
DOI: 10.5281/zenodo.15587347
title: Investigating Murderers Along a Victim Continuum

description: This repository contains the simulated dataset and code used in the research study titled **"Investigating Murderers Along a Victim Continuum: An Analysis of Single and Multiple Killers."** The study explores whether murderers fall along a continuous behavioral spectrum rather than into discrete categories like 'single-event' or 'serial' killers.