cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13285639
title: ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing

description: ForestSemantic is a dataset for forest semantic studies at both tree- and plot-levels. The dataset supports both instance and semantic segmentation, such as the tree detection and segmentation and the classification of ground, trunk, branches, and foliage components at both tree- and plot-levels. Also, the instance of each first-order branch is provided,

For each plot, three files are provided, i.e., "Plot_x.las", "Plot_x_Tree_Reference.xlsx" and "Plot_x_Branch_Reference.txt", where x means the x-th plot.1) "Plot_x.las" is the data file, which includes the point coordinates and intensity, as well as tree-, classification-, and First-order branch IDs. The tree-, classification-, and First-order branch IDs are stored in the field of "Point Source ID", "Classification" and "GPS Time", respectively.

2) "Plot_x_Tree_Reference.xlsx" includes the reference of the tree structure traits for each tree in the plot. The reference of each tree takes up one row. The tree-ID, position_x, position_y, tree height (m), DBH (m), First-order branch (m), Crown Projection area (m2), Crown Surface area (m2), Crown Volume (m3) are in the column 1 to 9, respectively.

3) "Plot_x_Branch_Reference.txt" includes the reference of the First-order branch in the plot, including the tree ID, branch ID, the start and end point positions of each branch. The record of each individual First-order branch takes up one row, and the column 1 to 9 are tree-ID, First-order Branch ID, Start_x, Start_y, Start_z, End_x, End_y, End_z, and Length.

4) The calculation of the reference of the tree structure traits can be found in https://doi.org/10.1080/10095020.2024.2313325.

5) For more details about the data, readers are referred to "Read me.pdf".

If you used this dataset, please cite the following paper:

Liang, Xinlian, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, and Juha Hyyppä. 2024. “ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing.” Geo-Spatial Information Science, March, 1–27. doi:10.1080/10095020.2024.2313325.
DOI: 10.5281/zenodo.13285640
title: ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing

description: ForestSemantic is a dataset for forest semantic studies at both tree- and plot-levels. The dataset supports both instance and semantic segmentation, such as the tree detection and segmentation and the classification of ground, trunk, branches, and foliage components at both tree- and plot-levels. Also, the instance of each first-order branch is provided,

For each plot, three files are provided, i.e., "Plot_x.las", "Plot_x_Tree_Reference.xlsx" and "Plot_x_Branch_Reference.txt", where x means the x-th plot.1) "Plot_x.las" is the data file, which includes the point coordinates and intensity, as well as tree-, classification-, and First-order branch IDs. The tree-, classification-, and First-order branch IDs are stored in the field of "Point Source ID", "Classification" and "GPS Time", respectively.

2) "Plot_x_Tree_Reference.xlsx" includes the reference of the tree structure traits for each tree in the plot. The reference of each tree takes up one row. The tree-ID, position_x, position_y, tree height (m), DBH (m), First-order branch (m), Crown Projection area (m2), Crown Surface area (m2), Crown Volume (m3) are in the column 1 to 9, respectively.

3) "Plot_x_Branch_Reference.txt" includes the reference of the First-order branch in the plot, including the tree ID, branch ID, the start and end point positions of each branch. The record of each individual First-order branch takes up one row, and the column 1 to 9 are tree-ID, First-order Branch ID, Start_x, Start_y, Start_z, End_x, End_y, End_z, and Length.

4) The calculation of the reference of the tree structure traits can be found in https://doi.org/10.1080/10095020.2024.2313325.

5) For more details about the data, readers are referred to "Read me.pdf".
DOI: 10.5281/zenodo.13846786
title: ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing

description: ForestSemantic is a dataset for forest semantic studies at both tree- and plot-levels. The dataset supports both instance and semantic segmentation, such as the tree detection and segmentation and the classification of ground, trunk, branches, and foliage components at both tree- and plot-levels. Also, the instance of each first-order branch is provided,

For each plot, three files are provided, i.e., "Plot_x.las", "Plot_x_Tree_Reference.xlsx" and "Plot_x_Branch_Reference.txt", where x means the x-th plot.1) "Plot_x.las" is the data file, which includes the point coordinates and intensity, as well as tree-, classification-, and First-order branch IDs. The tree-, classification-, and First-order branch IDs are stored in the field of "Point Source ID", "Classification" and "GPS Time", respectively.

2) "Plot_x_Tree_Reference.xlsx" includes the reference of the tree structure traits for each tree in the plot. The reference of each tree takes up one row. The tree-ID, position_x, position_y, tree height (m), DBH (m), First-order branch (m), Crown Projection area (m2), Crown Surface area (m2), Crown Volume (m3) are in the column 1 to 9, respectively.

3) "Plot_x_Branch_Reference.txt" includes the reference of the First-order branch in the plot, including the tree ID, branch ID, the start and end point positions of each branch. The record of each individual First-order branch takes up one row, and the column 1 to 9 are tree-ID, First-order Branch ID, Start_x, Start_y, Start_z, End_x, End_y, End_z, and Length.

4) The calculation of the reference of the tree structure traits can be found in https://doi.org/10.1080/10095020.2024.2313325.

5) For more details about the data, readers are referred to "Read me.pdf".

If you used this dataset, please cite the following paper:

Liang, Xinlian, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, and Juha Hyyppä. 2024. “ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing.” Geo-Spatial Information Science, March, 1–27. doi:10.1080/10095020.2024.2313325.
DOI: 10.5281/zenodo.14928016
title: ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing

description: ForestSemantic is a dataset for forest semantic studies at both tree- and plot-levels. The dataset supports both instance and semantic segmentation, such as the tree detection and segmentation and the classification of ground, trunk, branches, and foliage components at both tree- and plot-levels. Also, the instance of each first-order branch is provided,

For each plot, three files are provided, i.e., "Plot_x.las", "Plot_x_Tree_Reference.xlsx" and "Plot_x_Branch_Reference.txt", where x means the x-th plot.1) "Plot_x.las" is the data file, which includes the point coordinates and intensity, as well as tree-, classification-, and First-order branch IDs. The tree-, classification-, and First-order branch IDs are stored in the field of "Point Source ID", "Classification" and "GPS Time", respectively.

2) "Plot_x_Tree_Reference.xlsx" includes the reference of the tree structure traits for each tree in the plot. The reference of each tree takes up one row. The tree-ID, position_x, position_y, tree height (m), DBH (m), First-order branch (m), Crown Projection area (m2), Crown Surface area (m2), Crown Volume (m3) are in the column 1 to 9, respectively.

3) "Plot_x_Branch_Reference.txt" includes the reference of the First-order branch in the plot, including the tree ID, branch ID, the start and end point positions of each branch. The record of each individual First-order branch takes up one row, and the column 1 to 9 are tree-ID, First-order Branch ID, Start_x, Start_y, Start_z, End_x, End_y, End_z, and Length.

4) The calculation of the reference of the tree structure traits can be found in https://doi.org/10.1080/10095020.2024.2313325.

5) For more details about the data, readers are referred to "Read me.pdf".

If you used this dataset, please cite the following paper:

Liang, Xinlian, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, and Juha Hyyppä. 2024. “ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing.” Geo-Spatial Information Science, March, 1–27. doi:10.1080/10095020.2024.2313325.
DOI: 10.5281/zenodo.15080627
title: ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing

description: ForestSemantic is a dataset for forest semantic studies at both tree- and plot-levels. The dataset supports both instance and semantic segmentation, such as the tree detection and segmentation and the classification of ground, trunk, branches, and foliage components at both tree- and plot-levels. Also, the instance of each first-order branch is provided,

For each plot, three files are provided, i.e., "Plot_x.las", "Plot_x_Tree_Reference.xlsx" and "Plot_x_Branch_Reference.txt", where x means the x-th plot.1) "Plot_x.las" is the data file, which includes the point coordinates and intensity, as well as tree-, classification-, and First-order branch IDs. The tree-, classification-, and First-order branch IDs are stored in the field of "Point Source ID", "Classification" and "GPS Time", respectively.

2) "Plot_x_Tree_Reference.xlsx" includes the reference of the tree structure traits for each tree in the plot. The reference of each tree takes up one row. The tree-ID, position_x, position_y, tree height (m), DBH (m), First-order branch (m), Crown Projection area (m2), Crown Surface area (m2), Crown Volume (m3) are in the column 1 to 9, respectively.

3) "Plot_x_Branch_Reference.txt" includes the reference of the First-order branch in the plot, including the tree ID, branch ID, the start and end point positions of each branch. The record of each individual First-order branch takes up one row, and the column 1 to 9 are tree-ID, First-order Branch ID, Start_x, Start_y, Start_z, End_x, End_y, End_z, and Length.

4) The calculation of the reference of the tree structure traits can be found in https://doi.org/10.1080/10095020.2024.2313325.

5) For more details about the data, readers are referred to "Read me.pdf".

If you used this dataset, please cite the following paper:

Liang, Xinlian, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, and Juha Hyyppä. 2024. “ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing.” Geo-Spatial Information Science, March, 1–27. doi:10.1080/10095020.2024.2313325.
DOI: 10.5281/zenodo.15192988
title: ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing

description: ForestSemantic is a dataset for forest semantic studies at both tree- and plot-levels. The dataset supports both instance and semantic segmentation, such as the tree detection and segmentation and the classification of ground, trunk, branches, and foliage components at both tree- and plot-levels. Also, the instance of each first-order branch is provided,

For each plot, three files are provided, i.e., "Plot_x.las", "Plot_x_Tree_Reference.xlsx" and "Plot_x_Branch_Reference.txt", where x means the x-th plot.1) "Plot_x.las" is the data file, which includes the point coordinates and intensity, as well as tree-, classification-, and First-order branch IDs. The tree-, classification-, and First-order branch IDs are stored in the field of "Point Source ID", "Classification" and "GPS Time", respectively.

2) "Plot_x_Tree_Reference.xlsx" includes the reference of the tree structure traits for each tree in the plot. The reference of each tree takes up one row. The tree-ID, position_x, position_y, tree height (m), DBH (m), First-order branch (m), Crown Projection area (m2), Crown Surface area (m2), Crown Volume (m3) are in the column 1 to 9, respectively.

3) "Plot_x_Branch_Reference.txt" includes the reference of the First-order branch in the plot, including the tree ID, branch ID, the start and end point positions of each branch. The record of each individual First-order branch takes up one row, and the column 1 to 9 are tree-ID, First-order Branch ID, Start_x, Start_y, Start_z, End_x, End_y, End_z, and Length.

4) The calculation of the reference of the tree structure traits can be found in https://doi.org/10.1080/10095020.2024.2313325.

5) For more details about the data, readers are referred to "Read me.pdf".

If you used this dataset, please cite the following paper:

Liang, Xinlian, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, and Juha Hyyppä. 2024. “ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing.” Geo-Spatial Information Science, March, 1–27. doi:10.1080/10095020.2024.2313325.
DOI: 10.5281/zenodo.15193973
title: ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing

description: ForestSemantic is a dataset for forest semantic studies at both tree- and plot-levels. The dataset supports both instance and semantic segmentation, such as the tree detection and segmentation and the classification of ground, trunk, branches, and foliage components at both tree- and plot-levels. Also, the instance of each first-order branch is provided,

For each plot, three files are provided, i.e., "Plot_x.las", "Plot_x_Tree_Reference.xlsx" and "Plot_x_Branch_Reference.txt", where x means the x-th plot.1) "Plot_x.las" is the data file, which includes the point coordinates and intensity, as well as tree-, classification-, and First-order branch IDs. The tree-, classification-, and First-order branch IDs are stored in the field of "Point Source ID", "Classification" and "GPS Time", respectively.

2) "Plot_x_Tree_Reference.xlsx" includes the reference of the tree structure traits for each tree in the plot. The reference of each tree takes up one row. The tree-ID, position_x, position_y, tree height (m), DBH (m), First-order branch (m), Crown Projection area (m2), Crown Surface area (m2), Crown Volume (m3) are in the column 1 to 9, respectively.

3) "Plot_x_Branch_Reference.txt" includes the reference of the First-order branch in the plot, including the tree ID, branch ID, the start and end point positions of each branch. The record of each individual First-order branch takes up one row, and the column 1 to 9 are tree-ID, First-order Branch ID, Start_x, Start_y, Start_z, End_x, End_y, End_z, and Length.

4) The calculation of the reference of the tree structure traits can be found in https://doi.org/10.1080/10095020.2024.2313325.

5) For more details about the data, readers are referred to "Read me.pdf".

If you used this dataset, please cite the following paper:

Liang, Xinlian, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, and Juha Hyyppä. 2024. “ForestSemantic: A Dataset for Semantic Learning of Forest from Close-Range Sensing.” Geo-Spatial Information Science, March, 1–27. doi:10.1080/10095020.2024.2313325.
DOI: 10.15468/dl.9gcc4v
title: Occurrence Download

description: A dataset containing 15827 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chloranthus Sw."
 ]
}

 The dataset includes 15827 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016734-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zqy8j
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Herpsilochmus scapularis",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073316-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhbsdp
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.36896 52.74511,14.4114 52.74511,14.4114 54.52223,11.36896 54.52223,11.36896 52.74511))",
 "HasCoordinate is true",
 "TaxonKey is Leucorrhinia pectoralis (Charpentier, 1825)"
 ]
}

 The dataset includes 71 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142540-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-225634
title: The Word of Truth, 1995, vol. 6, no. 4 = Cuvantul Adevarului, 1995, anul VI, nr 4

description: [description english/roman)] The Word of Truth is the periodical, official publication of the Romanian Pentecostal Church beginning from 1990 to present.
DOI: 10.15468/dl.m25pjy
title: Occurrence Download

description: A dataset containing 3835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((150.85835 -33.69279,150.85542 -33.69487,150.85234 -33.70319,150.85239 -33.71931,150.85757 -33.72431,150.89695 -33.7248,150.90224 -33.7085,150.9013 -33.69338,150.8713 -33.69257,150.85835 -33.69279))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3835 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031974-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyd9zk
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium bidentoides F.B.H.Brown & E.D.W.Brown"
 ]
}

 The dataset includes 49 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0150865-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgncrb
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio neaei DC."
 ]
}

 The dataset includes 188 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124645-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-225650
title: The Word of Truth, 1995, vol. 6, no. 4 = Cuvantul Adevarului, 1995, anul VI, nr 4

description: [description english/roman)] The Word of Truth is the periodical, official publication of the Romanian Pentecostal Church beginning from 1990 to present.
DOI: 10.15468/dl.ttnade
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium bipinnatum Thunb."
 ]
}

 The dataset includes 11 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0150873-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtkvvf
title: Occurrence Download

description: A dataset containing 134226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phylloscopus trochiloides (Sundevall, 1837))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 134226 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014248-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-225633
title: The Word of Truth, 1995, vol. 6, no. 4 = Cuvantul Adevarului, 1995, anul VI, nr 4

description: [description english/roman)] The Word of Truth is the periodical, official publication of the Romanian Pentecostal Church beginning from 1990 to present.
DOI: 10.15468/dl.rdy38p
title: Occurrence Download

description: A dataset containing 5786650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((108.45703 22.32422,120.76172 22.32422,120.76172 36.43066,108.45703 36.43066,108.45703 22.32422))",
 "TaxonKey is Aves",
 "Year 1990-2022"
 ]
}

 The dataset includes 5786650 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0150943-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h79ajv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Indosylvirana serendipi (Biju, Garg, Mahony, Wijayathilaka, Senevirathne & Meegaskumbura, 2014)"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031999-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-225683
title: The Word of Truth, 1995, vol. 6, no. 6 = Cuvantul Adevarului, 1995, anul VI, nr 6

description: [description english/roman)] The Word of Truth is the periodical, official publication of the Romanian Pentecostal Church beginning from 1990 to present.
DOI: 10.15468/dl.cqe9k3
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Flemingia paniculata Wall. ex Benth."
 ]
}

 The dataset includes 58 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031973-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-225666
title: The Word of Truth, 1995, vol. 6, no. 5 = Cuvantul Adevarului, 1995, anul VI, nr 5

description: [description english/roman)] The Word of Truth is the periodical, official publication of the Romanian Pentecostal Church beginning from 1990 to present.
DOI: 10.15468/dl.d2427j
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Glycine max (L.) Merr."
 ]
}

 The dataset includes 44 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010461-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-225710
title: The Word of Truth, 1995, vol. 6, no. 7 = Cuvantul Adevarului, 1995, anul VI, nr 7

description: [description english/roman)] The Word of Truth is the periodical, official publication of the Romanian Pentecostal Church beginning from 1990 to present.