cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30777764.v1
title: Shadow competition and the evolution of sensory capability in sit-and-wait predators

description: Shadow competition occurs when an organism prevents another organism's access to a resource by intercepting that resource first, thereby casting a ``shadow'' over the competing organism. This competition is commonly seen in the case of sit-and-wait (or ambush) predators. Shadow competition is closely related to the sensory capabilities of the organism, such as the range at which a predator can detect prey as well as the field of view of prey detection. Here, we develop an agent-based model whereby stationary, sit-and-wait predators exert shadow competition for prey on other predators on an explicit spatial landscape. Four predator characteristics can evolve: location, orientation, sensory radius, and field of view. We vary the number of available prey, the location of the prey source, the cost of sensory perception, and the energy requirements of the predator to find how shadow competition affects the evolved predator characteristics. We find that predators evolve a long, narrow sensory cone as a result of shadow competition, and that shadow competition greatly limits the efficiency of the predator-prey system. Thus, shadow competition, and the spatial interaction of predators in general, can dramatically shape predator phenotype and behavior.
DOI: 10.5281/zenodo.17764614
title: PyPSA-Earth Modelling Results Comparison
DOI: 10.5281/zenodo.17764613
title: PyPSA-Earth Modelling Results Comparison
DOI: 10.5281/zenodo.17172161
title: ForestSemantic-MS Dataset: multispectral LiDAR forest point clouds for fine-grained forest semantic segmentation

description: Description

ForestSemantic-MS dataset contains multispectral (MS) LiDAR forest point clouds used in our paper titled 3D Forest Semantic Segmentation Using Multispectral LiDAR and 3D Deep Learning (DOI: 10.1007/s41064-025-00369-4). This dataset is collected by the helicopter-mounted HeliALS multispectral LiDAR system developed by the Finnish Geospatial Research Institute (FGI).  The MS point clouds are manually annotated in six forest components: ground, low vegetation, trunk, branches, foliage, and woody debris. ForestSemantic-MS consists of six forest plots used to train (four plots) and evaluate (two plots) deep learning models we benchmarked in our paper.

 

 

Point cloud attributes




Attribute
Description


SWIR
Normalized ([0-1]) reflectance at 1550 nm 


NIR
Normalized ([0-1]) reflectance at 905 nm


Green
Normalized ([0-1]) reflectance at 532 nm


VI
Normalized ([0-1]) vegetation index (NDVI NIR-SWIR )


semantic_GT
Semantic segmentation labels




Labels




Class
Name


0


Ground



1


Low vegetation



2


Trunks



3


Branches



4


Foliage



5


Woody debris





 

ForestSemantic-MS vs. Other Public Datasets

 




 


FOR-Instance

(Xiang et al., 2024)



ForestSemantic

(Liang et al., 2024)



EvoMS

(Ruoppa et al., 2025)



ForestSemantic-MS (ours)





Forest component detail level



5 (Ground, low vegetation, stem, live branches, and dead branches)



3 (Trunk, branches, and foliage)



2 (Foliage and wood)



6 (Ground, low vegetation, trunk, branches, foliage, and woody debris)





Multispectral LiDAR



✕



✕



✓ (1550 nm, 905 nm, and 532 nm)



✓ (1550 nm, 905 nm, and 532 nm)





Vegetation index



✕



✕



✕



NDVI NIR-SWIR





Platform



ULS



TLS



ULS



ULS





Forest type(s)



Boreal, temperate, alluvial, and eucalypt forests



Boreal forests



Boreal forests



Boreal forests





Geographical data coverage



Norway, Austria, the Czech Republic, Australia, and  New Zealand



Finland



Finland



Finland





Number of points

 



116,099,253



355,511,770



8,265,448



9,600,927





 

Citation

Any scientific publication using this dataset should cite the following paper and the dataset:

Takhtkeshha, N., Bocaux, L., Ruoppa, L., Remondino, F., Mandlburger, G., Kukko, A., & Hyyppä, J. (2025). 3D forest semantic segmentation using multispectral LiDAR and 3D deep learning. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-025-00369-4

 

Takhtkeshha, N., Bocaux, L., Ruoppa, L., Remondino, F., Mandlburger, G., Kukko, A., Hyyppä, J. ForestSemantic-MS Dataset:735 multispectral LiDAR forest point clouds for fine-grained forest semantic segmentation [dataset], 2025a. doi:736 10.5281/zenodo.17172162
DOI: 10.5281/zenodo.17172162
title: ForestSemantic-MS Dataset: multispectral LiDAR forest point clouds for fine-grained forest semantic segmentation

description: Description

ForestSemantic-MS dataset contains multispectral (MS) LiDAR forest point clouds used in our paper titled 3D Forest Semantic Segmentation Using Multispectral LiDAR and 3D Deep Learning (DOI: 10.1007/s41064-025-00369-4). This dataset is collected by the helicopter-mounted HeliALS multispectral LiDAR system developed by the Finnish Geospatial Research Institute (FGI).  The MS point clouds are manually annotated in six forest components: ground, low vegetation, trunk, branches, foliage, and woody debris. ForestSemantic-MS consists of six forest plots used to train (four plots) and evaluate (two plots) deep learning models we benchmarked in our paper.

 

 

Point cloud attributes




Attribute
Description


SWIR
Normalized ([0-1]) reflectance at 1550 nm 


NIR
Normalized ([0-1]) reflectance at 905 nm


Green
Normalized ([0-1]) reflectance at 532 nm


VI
Normalized ([0-1]) vegetation index (NDVI NIR-SWIR )


semantic_GT
Semantic segmentation labels




Labels




Class
Name


0


Ground



1


Low vegetation



2


Trunks



3


Branches



4


Foliage



5


Woody debris





 

ForestSemantic-MS vs. Other Public Datasets

 




 


FOR-Instance

(Xiang et al., 2024)



ForestSemantic

(Liang et al., 2024)



EvoMS

(Ruoppa et al., 2025)



ForestSemantic-MS (ours)





Forest component detail level



5 (Ground, low vegetation, stem, live branches, and dead branches)



3 (Trunk, branches, and foliage)



2 (Foliage and wood)



6 (Ground, low vegetation, trunk, branches, foliage, and woody debris)





Multispectral LiDAR



✕



✕



✓ (1550 nm, 905 nm, and 532 nm)



✓ (1550 nm, 905 nm, and 532 nm)





Vegetation index



✕



✕



✕



NDVI NIR-SWIR





Platform



ULS



TLS



ULS



ULS





Forest type(s)



Boreal, temperate, alluvial, and eucalypt forests



Boreal forests



Boreal forests



Boreal forests





Geographical data coverage



Norway, Austria, the Czech Republic, Australia, and  New Zealand



Finland



Finland



Finland





Number of points

 



116,099,253



355,511,770



8,265,448



9,600,927





 

Citation

Any scientific publication using this dataset should cite the following paper and the dataset:

Takhtkeshha, N., Bocaux, L., Ruoppa, L., Remondino, F., Mandlburger, G., Kukko, A., & Hyyppä, J. (2025). 3D forest semantic segmentation using multispectral LiDAR and 3D deep learning. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-025-00369-4

 

Takhtkeshha, N., Bocaux, L., Ruoppa, L., Remondino, F., Mandlburger, G., Kukko, A., Hyyppä, J. ForestSemantic-MS Dataset:735 multispectral LiDAR forest point clouds for fine-grained forest semantic segmentation [dataset], 2025a. doi:736 10.5281/zenodo.17172162
DOI: 10.15468/dl.2bpp3p
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Horsfieldia amygdalina",
 "Year 1925-2025"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025835-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240898
title: HIFLD OPEN Uranium and Vanadium Deposits

description: Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. This product is a digest in which the fields chosen are those most likely to contain valid information.The data is legacy and not expected to be updated. It is being provided as the best available until Mineral Resources identifies an alternative data source.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e240898v1
title: HIFLD OPEN Uranium and Vanadium Deposits

description: Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. This product is a digest in which the fields chosen are those most likely to contain valid information.The data is legacy and not expected to be updated. It is being provided as the best available until Mineral Resources identifies an alternative data source.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.15468/dl.v62bft
title: Occurrence Download

description: A dataset containing 1077 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudasthenes cactorum"
 ]
}

 The dataset includes 1077 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025836-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5n9ew
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenocarpella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 304 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025837-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17626108
title: Archivo Histórico de Rionegro - Metadatos Procesados

description: This dataset contains processed archival metadata from the Archivo Histórico de Rionegro (Historical Archive of Rionegro), Colombia. The data has been cleaned, structured, and prepared for ingestion into the Collective Access digital repository system (abcng.org).
description: Este dataset contiene metadatos archivísticos procesados del Archivo Histórico de Rionegro, Colombia. Los datos han sido limpiados, estructurados y preparados para su ingesta en el sistema de repositorio digital Collective Access (abcng.org).
DOI: 10.5281/zenodo.17626109
title: Archivo Histórico de Rionegro - Metadatos Procesados

description: This dataset contains processed archival metadata from the Archivo Histórico de Rionegro (Historical Archive of Rionegro), Colombia. The data has been cleaned, structured, and prepared for ingestion into the Collective Access digital repository system (abcng.org).
description: Este dataset contiene metadatos archivísticos procesados del Archivo Histórico de Rionegro, Colombia. Los datos han sido limpiados, estructurados y preparados para su ingesta en el sistema de repositorio digital Collective Access (abcng.org).
DOI: 10.15468/dl.kmrm5u
title: Occurrence Download

description: A dataset containing 3681349252 species occurrences available in GBIF matching the query:
{
 "GbifId" : [
 "is not null"
 ]
}

 The dataset includes 3681349252 records from 87588 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023891-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17781617
title: Example data for SCP-Viz

description: Example single cell transcriptomics and single cell proteomics data for analysis with SCP Viz in support of upcoming manuscript.
DOI: 10.5281/zenodo.17781618
title: Example data for SCP-Viz

description: Example single cell transcriptomics and single cell proteomics data for analysis with SCP Viz in support of upcoming manuscript.
DOI: 10.5281/zenodo.17626104
title: neogranadina/Istmina: Zenodo

description: No description provided.
DOI: 10.5281/zenodo.17626103
title: neogranadina/Istmina: Zenodo

description: No description provided.
DOI: 10.7910/dvn/eug3pf
title: CosmicDS: Digital Interfaces for Scientific Research

description: &lt;b&gt;CosmicDS: Digital Interfaces for Scientific Research&lt;/b&gt;&lt;p&gt;&lt;b&gt;Presentation Date&lt;/b&gt;: August 22, 2025&lt;p&gt;&lt;b&gt;Location&lt;/b&gt;: Center for Astrophysics, Cambridge, MA&lt;p&gt;A short introduction to CosmicDS and the TEMPO data story, at the TEMPO team meeting in Cambridge, MA. Files included are Keynote slides (in .key and .pdf formats) and can be accessed on the Dataverse. Files included are Keynote slides (in .key and .pdf formats).
DOI: 10.15468/dl.2whmq6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diploceras",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025839-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17225735
title: Data and Code for Laser-driven resonant soft-X-ray scattering for probing picosecond dynamics of nanometre-scale order

description: Data and code to reproduce the data figures in the main text and the simulations in the Supplemental Information.
DOI: 10.5281/zenodo.17225734
title: Data and Code for Laser-driven resonant soft-X-ray scattering for probing picosecond dynamics of nanometre-scale order

description: Data and code to reproduce the data figures in the main text and the simulations in the Supplemental Information.
DOI: 10.15468/dl.4539cv
title: Occurrence Download

description: A dataset containing 195321580 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 PRINTF('%04d-%02d-%02d', "year", "month", "day") yearmonthday,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence."month" IS NOT NULL AND occurrence."day" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 PRINTF('%04d-%02d-%02d', "year", "month", "day")

 The dataset's 195321580 records were derived from 56903 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025707-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8b2sa3
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Stevia rebaudiana (Bertoni) Bertoni"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020195-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5u99h
title: Occurrence Download

description: A dataset containing 10985 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Tagetes erecta L.)"
 ]
}

 The dataset includes 10985 records from 586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020194-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqpctx
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Porcellana africana Chace, 1956"
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020196-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qxje9
title: Occurrence Download

description: A dataset containing 10652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hymenaea courbaril L."
 ]
}

 The dataset includes 10652 records from 427 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020190-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjk6hu
title: Occurrence Download

description: A dataset containing 1248231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Achillea millefolium L.)"
 ]
}

 The dataset includes 1248231 records from 4418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020183-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kw397t
title: Occurrence Download

description: A dataset containing 5500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Paracorymbia maculicornis (Degeer, 1775))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5500 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018757-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.778u44
title: Occurrence Download

description: A dataset containing 501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is KUBI Herpetology Collection",
 "TaxonKey is Phrynosoma cornutum (Harlan, 1825)"
 ]
}

 The dataset includes 501 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018758-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be2k5r
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Cratosilis denticollis Schummel, 1844)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 358 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018761-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h93eus
title: Occurrence Download

description: A dataset containing 80309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Arenaria interpres (Linnaeus, 1758)",
 "Year 2015-2015"
 ]
}

 The dataset includes 80309 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018756-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtth8k
title: Occurrence Download

description: A dataset containing 16577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Arenaria interpres (Linnaeus, 1758)",
 "Year 2016-2016"
 ]
}

 The dataset includes 16577 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018760-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f765p8
title: Occurrence Download

description: A dataset containing 485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is MSB Amphibian and Reptile Collection (Arctos)",
 "TaxonKey is Phrynosoma cornutum (Harlan, 1825)"
 ]
}

 The dataset includes 485 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018762-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjmg6k
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Crenitis punctatostriata Letzner, 1841)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 97 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018763-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvv8c9
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Angelo State Natural History Collections (ASNHC) Amphibian and reptile specimens (Arctos)",
 "TaxonKey is Phrynosoma cornutum (Harlan, 1825)"
 ]
}

 The dataset includes 479 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018764-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.