cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15168162
title: Dataset used for the Master's Thesis on Semantic Segmentation of Dead Picea abies Trees Using Deep Learning

description: This dataset contains the orthomosaic imagery and associated shapefiles used in the master’s thesis titled “Semantic Segmentation of Dead Trees (Picea abies) Using Deep Learning”

Link to the thesis

The shapefiles include tree annotations categorized into the following health classes:





0 – Healthy




1 – Slight Damage




2 – Moderate Damage




4 – Dead



This dataset is intended to support research in the fields of remote sensing, semantic segmentation, forest health monitoring, and deep learning-based image analysis. It can be used for various scientific studies focused on vegetation condition assessment, object detection, or geospatial analysis.Researchers can generate custom training and testing datasets using these shapefiles. A supporting R script is available in the GitHub repository.

https://github.com/muhammedsinan1997/Semantic_Segmentation_of_dead_trees

 

If you use this dataset, please cite both the dataset and the following thesis:

Sinan, M. (2022). Semantic Segmentation of Dead Trees (Picea abies) Using Deep Learning (Master's thesis, Hochschule für nachhaltige Entwicklung Eberswalde).

Muhammed Sinan. (2025). Dataset used for the Master's Thesis on Semantic Segmentation of Dead Picea abies Trees Using Deep Learning [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15168163
DOI: 10.5281/zenodo.15168163
title: Dataset used for the Master's Thesis on Semantic Segmentation of Dead Picea abies Trees Using Deep Learning

description: This dataset contains the orthomosaic imagery and associated shapefiles used in the master’s thesis titled “Semantic Segmentation of Dead Trees (Picea abies) Using Deep Learning”

Link to the thesis

The shapefiles include tree annotations categorized into the following health classes:





0 – Healthy




1 – Slight Damage




2 – Moderate Damage




4 – Dead



This dataset is intended to support research in the fields of remote sensing, semantic segmentation, forest health monitoring, and deep learning-based image analysis. It can be used for various scientific studies focused on vegetation condition assessment, object detection, or geospatial analysis.Researchers can generate custom training and testing datasets using these shapefiles. A supporting R script is available in the GitHub repository.

https://github.com/muhammedsinan1997/Semantic_Segmentation_of_dead_trees

 

If you use this dataset, please cite both the dataset and the following thesis:

Sinan, M. (2022). Semantic Segmentation of Dead Trees (Picea abies) Using Deep Learning (Master's thesis, Hochschule für nachhaltige Entwicklung Eberswalde).

Muhammed Sinan. (2025). Dataset used for the Master's Thesis on Semantic Segmentation of Dead Picea abies Trees Using Deep Learning [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15168163
DOI: 10.15468/5sutd2
title: Rapid assessment survey of faunal diversity of Buxa Tiger Reserve, India West Bengal, during end of the winter period in 2024

description: In the month of February 2024, the students of the Environmental Science, of Adamas University (India) accompanied by the faculty members went to Buxa Tiger Reserve in Raja Bhat-khawa (Alipurduar District, West Bengal, India) for an excursion organised by the Nature Mates Nature Club.  Field survey was conducted to study the habitat, behavioral patterns, flight process and other activities of the local birds, butterflies and other animal species in the area. Careful and meticulous observations of the faunal species were recorded over the course of the field days and were noted down with specific real time environmental parameters.
DOI: 10.15468/dl.r96jwq
title: Occurrence Download

description: A dataset containing 1202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lanaria lanata (L.) T.Durand & Schinz"
 ]
}

 The dataset includes 1202 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036683-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfsxqh
title: Occurrence Download

description: A dataset containing 25291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helvella crispa (Scop.) Fr."
 ]
}

 The dataset includes 25291 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003548-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxh9vq
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ortachne breviseta Hitchc."
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007740-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68r7dh
title: Occurrence Download

description: A dataset containing 17077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enhydra lutris (Linnaeus, 1758)",
 "Year 1973-2024"
 ]
}

 The dataset includes 17077 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036665-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.weh3oz
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysandra coridon (Poda, 1761)",
 {
 "or" : [
 "Country is Portugal",
 "Country is Spain"
 ]
 }
 ]
}

 The dataset includes 78 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007740-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8eurz2
title: Occurrence Download

description: A dataset containing 32086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum elaeagnifolium Cav.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32086 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044483-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty89cw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ischaemum copeanum Sreek., V.J.Nair & N.C.Nair"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036701-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akkru6
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum sessiliflorum Dunal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 511 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044498-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztvzjy
title: Occurrence Download

description: A dataset containing 2417 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphaea nouchali Burm.fil."
 ]
}

 The dataset includes 2417 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007741-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fd7n8g
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lancea hirsuta Bonati"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036695-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k723cq
title: Occurrence Download

description: A dataset containing 159834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens parviflora DC.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 159834 records from 625 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003545-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hz99vo
title: Occurrence Download

description: A dataset containing 1048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptodactylus wagneri (Peters, 1862)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1048 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007740-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uwpwt
title: Occurrence Download

description: A dataset containing 23043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, United Kingdom of Great Britain and Northern Ireland, Switzerland, Spain, Luxembourg, Germany, Belgium)",
 "TaxonKey is Lissotriton helveticus (Razoumovsky, 1789)",
 "Year 1970-2000"
 ]
}

 The dataset includes 23043 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036685-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1unf2b
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adenostoma Hook. & Arn.",
 "Country is Mexico"
 ]
}

 The dataset includes 63 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003841-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkvnp7
title: Occurrence Download

description: A dataset containing 2107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-101.75067 19.46823,-101.77661 19.43755,-101.76464 19.40439,-101.73023 19.40888,-101.70305 19.42608,-101.70878 19.459,-101.75067 19.46823))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1000-2023"
 ]
}

 The dataset includes 2107 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027481-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehpvxn
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Foraminifera distribution of sediment core SDSE188"
 ]
}

 The dataset includes 355 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003841-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7srqn
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Dendrelaphis subocularis (Boulenger, 1888)"
 ]
}

 The dataset includes 88 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027483-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.glgf1k
title: Occurrence Download

description: A dataset containing 2249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pohlia nutans (Hedw.) Lindb.",
 "Country is Sweden",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 "Year 1990-2016"
 ]
}

 The dataset includes 2249 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003841-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r39rx7
title: Occurrence Download

description: A dataset containing 1044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Diagnóstico físico, biótico y socioeconómico del Área de Estudio Pozo Lisama 158"
 ]
}

 The dataset includes 1044 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041169-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cppod
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "TaxonKey is Janthina janthina (Linnaeus, 1758)"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003841-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt5m3w
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Registros de epífitas asociadas al levantamiento de veda en la doble calzada Pamplona-Cúcuta"
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041214-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ml48hk
title: Occurrence Download

description: A dataset containing 3239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "DecimalLatitude is greater than 35.5088266716535",
 "DecimalLatitude is less than 35.9061753557739",
 "DecimalLongitude is greater than -109.805454688167",
 "DecimalLongitude is less than -109.313834362659"
 ]
}

 The dataset includes 3239 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003841-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnt8xm
title: Occurrence Download

description: A dataset containing 704302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Year 2013-2017",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 704302 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003841-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfegda
title: Occurrence Download

description: A dataset containing 5600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Registros biológicos del género Piper en el herbario HUA"
 ]
}

 The dataset includes 5600 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041213-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i9fgig
title: Occurrence Download

description: A dataset containing 34874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1967-2017",
 "TaxonKey is Natrix natrix (Linnaeus, 1758)"
 ]
}

 The dataset includes 34874 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003841-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g3g43
title: Occurrence Download

description: A dataset containing 5162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Biodiversidad de un bosque seco tropical del Valle Medio del río Magdalena: evaluación integrada a través de multitaxones"
 ]
}

 The dataset includes 5162 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041184-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7xzge
title: Occurrence Download

description: A dataset containing 159770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "GadmGid is ZAF.8_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 159770 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015615-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtufxy
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "Year is 2023",
 "HasCoordinate is true",
 "Geometry POLYGON ((21.5 -30.5, 21.5 -29, 20.5 -29, 20.5 -30.5, 21.5 -30.5))"
 ]
}

 The dataset includes 137 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015659-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17200913
title: Multimodal Adhesive E-skin for Robotic Platforms

description: Human skin offers multimodal sensing capabilities including tactile, thermal, and chemical detection, a capability that can be partially replicated using ionic hydrogels to create electronic skin (e-skin). However, for e-skin to properly function, it must firmly adhere to substrates. Adhesion to a diverse range of soft substrates, such as those found in soft robotics, remains a major challenge. Typical adhesives are rather soft such that they can adopt their shape to the surface roughness of the substrate, yet, their softness limits the mechanical properties of the resulting composites. Here, we present a double-network granular organogel (DNGOG) that integrates microfragments, which can interact with hydrophobic substrates with a secondary soft polymer network rich in ionic and hydrogen bonds. This architecture enables strong, reversible adhesion to a wide range of hydrophilic and hydrophobic substrates. The presence of ionic groups within the hydrogel facilitates metal–ligand coordination, whereas the much stiffer microfragments increase the stiffness of the material. Thereby, the DNGOG-based e-skin can combine an adhesive strength of 1.9 MPa with a tensile strength of 1.0 MPa, overcoming the long-standing adhesion-strength compromise of soft materials. We demonstrate adhesion across diverse substrates, including porcine skin, silicone rubber, thermoplastics, wood, glass and metals. The ionic conductivity of the DNGOG enables this material to sense multiple stimuli vital to humans such as their pulse, respiration, temperature, and sweat, as well as tactile feedback in soft robotic systems. This multifunctional platform offers a promising route toward next-generation wearable and robotic e-skin technologies.
DOI: 10.5281/zenodo.17200914
title: Multimodal Adhesive E-skin for Robotic Platforms

description: Human skin offers multimodal sensing capabilities including tactile, thermal, and chemical detection, a capability that can be partially replicated using ionic hydrogels to create electronic skin (e-skin). However, for e-skin to properly function, it must firmly adhere to substrates. Adhesion to a diverse range of soft substrates, such as those found in soft robotics, remains a major challenge. Typical adhesives are rather soft such that they can adopt their shape to the surface roughness of the substrate, yet, their softness limits the mechanical properties of the resulting composites. Here, we present a double-network granular organogel (DNGOG) that integrates microfragments, which can interact with hydrophobic substrates with a secondary soft polymer network rich in ionic and hydrogen bonds. This architecture enables strong, reversible adhesion to a wide range of hydrophilic and hydrophobic substrates. The presence of ionic groups within the hydrogel facilitates metal–ligand coordination, whereas the much stiffer microfragments increase the stiffness of the material. Thereby, the DNGOG-based e-skin can combine an adhesive strength of 1.9 MPa with a tensile strength of 1.0 MPa, overcoming the long-standing adhesion-strength compromise of soft materials. We demonstrate adhesion across diverse substrates, including porcine skin, silicone rubber, thermoplastics, wood, glass and metals. The ionic conductivity of the DNGOG enables this material to sense multiple stimuli vital to humans such as their pulse, respiration, temperature, and sweat, as well as tactile feedback in soft robotic systems. This multifunctional platform offers a promising route toward next-generation wearable and robotic e-skin technologies.
DOI: 10.15468/dl.wd9j9h
title: Occurrence Download

description: A dataset containing 820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lithophaga lithophaga)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 820 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015661-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8x5d4
title: Occurrence Download

description: A dataset containing 820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lithophaga lithophaga)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 820 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015660-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.