cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.33mxdz
title: Occurrence Download

description: A dataset containing 12483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tanacetum vulgare L.",
 "Year 2017-2025"
 ]
}

 The dataset includes 12483 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020878-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32uqxv
title: Occurrence Download

description: A dataset containing 8654 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acrossocheilus paradoxus (Günther, 1868)"
 ]
}

 The dataset includes 8654 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020881-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7e9cr
title: Occurrence Download

description: A dataset containing 2931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cryphalus piceae Wood & Bright, 1992"
 ]
}

 The dataset includes 2931 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020883-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15066143
title: Dataset Crises Impact on Spanish Territorial Governance

description: This dataset includes 101 publications dealing with the impact of three crises on the Spanish territorial system.
DOI: 10.5281/zenodo.15066144
title: Dataset Crises Impact on Spanish Territorial Governance

description: This dataset includes 101 publications dealing with the impact of three crises on the Spanish territorial system.
DOI: 10.34740/kaggle/dsv/11120045
title: Aloha Adventure Rentals & Gear (AARG)
DOI: 10.15468/dl.82w3t6
title: Occurrence Download

description: A dataset containing 1907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "OccurrenceStatus is Present",
 "TaxonKey is Solidago canadensis L."
 ]
}

 The dataset includes 1907 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020885-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7gvsc
title: Occurrence Download

description: A dataset containing 49341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Populus tremuloides Michx."
 ]
}

 The dataset includes 49341 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020884-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rddk3f
title: Occurrence Download

description: A dataset containing 668 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psilochorus simoni (Berland, 1911)"
 ]
}

 The dataset includes 668 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020886-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sk74hc
title: Occurrence Download

description: A dataset containing 49232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Populus tremuloides Michx."
 ]
}

 The dataset includes 49232 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020888-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqq28q
title: Occurrence Download

description: A dataset containing 28411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Asimina triloba (L.) Dunal"
 ]
}

 The dataset includes 28411 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020889-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14041415
title: Synthetic Multimodal Dataset using ABB Studio: Dual Robot Welding Station

description: ## README

### Overview

This repository provides the setup and data collected from simulations conducted in RobotStudio for various ABB robot configurations. The simulation, based on Diprasetya et al. (2023), was designed to capture precise sensory data in a controlled environment that mirrors real-world welding conditions.

### Simulation Setup

The simulation tracks essential parameters of the ABB robot and its end-effector, including:- **Joint Angles**: Real-time angles for each joint.- **TCP Position**: 3D positional coordinates of the Tool Center Point.- **TCP Orientation**: Orientation captured as quaternions to represent rotational states.- **Additional Attributes**: Various other robot-specific details relevant to performance in a welding setup.

### Data Collection

To generate a high-resolution dataset, data were sampled at intervals between 12 ms and 96 ms. This detailed sampling provides accurate insights into the robot's operation in a simulated welding environment.

### Key Parameters

The dataset includes the following parameters for each robot:

- **Camera View**: One camera view with a resolution of 3 x 256 x 256, normalized to the range [0, 1].- **Motor Power (P)**: The power consumed by the robot’s motors, constrained within \([0, P_{\text{max}}]\).- **TCP Speed (v_TCP)**: The velocity of the end-effector, with a maximum cap of 5 m/s.- **TCP Acceleration (a_TCP)**: The acceleration of the TCP, bounded within \([a_{\text{min}}, a_{\text{max}}]\).- **TCP Orientation (q_TCP)**: Quaternion representing orientation, with a normalization condition \(||\mathbf{q}_{\text{TCP}}(t)|| = 1\).- **TCP Position (p_TCP)**: A 3D vector for positional coordinates, with each coordinate constrained within \([p_{\text{min}}, p_{\text{max}}]\).- **Braking Distance (d_brake)**: The distance each joint travels during braking, within bounds \([d_{\text{min}}, d_{\text{max}}]\).- **Holding Position (θ_hold)**: The maintained angles for each joint, constrained to the interval \([-π, π]\).- **Joint Angles (θ)**: The current angles of each joint, also within the interval \([-π, π]\).

### Citation

For more details on the simulation methodology, please refer to:- Diprasetya, M. R., Yuwono, S., Löppenberg, M., & Schwung, A. (2023, July). Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) (pp. 1-7). IEEE.
DOI: 10.5281/zenodo.14041416
title: Synthetic Multimodal Dataset using ABB Studio: Dual Robot Welding Station

description: ## README

### Overview

This repository provides the setup and data collected from simulations conducted in RobotStudio for various ABB robot configurations. The simulation, based on Diprasetya et al. (2023), was designed to capture precise sensory data in a controlled environment that mirrors real-world welding conditions.

### Simulation Setup

The simulation tracks essential parameters of the ABB robot and its end-effector, including:- **Joint Angles**: Real-time angles for each joint.- **TCP Position**: 3D positional coordinates of the Tool Center Point.- **TCP Orientation**: Orientation captured as quaternions to represent rotational states.- **Additional Attributes**: Various other robot-specific details relevant to performance in a welding setup.

### Data Collection

To generate a high-resolution dataset, data were sampled at intervals between 12 ms and 96 ms. This detailed sampling provides accurate insights into the robot's operation in a simulated welding environment.

### Key Parameters

The dataset includes the following parameters for each robot:

- **Camera View**: One camera view with a resolution of 3 x 256 x 256, normalized to the range [0, 1].- **Motor Power (P)**: The power consumed by the robot’s motors, constrained within \([0, P_{\text{max}}]\).- **TCP Speed (v_TCP)**: The velocity of the end-effector, with a maximum cap of 5 m/s.- **TCP Acceleration (a_TCP)**: The acceleration of the TCP, bounded within \([a_{\text{min}}, a_{\text{max}}]\).- **TCP Orientation (q_TCP)**: Quaternion representing orientation, with a normalization condition \(||\mathbf{q}_{\text{TCP}}(t)|| = 1\).- **TCP Position (p_TCP)**: A 3D vector for positional coordinates, with each coordinate constrained within \([p_{\text{min}}, p_{\text{max}}]\).- **Braking Distance (d_brake)**: The distance each joint travels during braking, within bounds \([d_{\text{min}}, d_{\text{max}}]\).- **Holding Position (θ_hold)**: The maintained angles for each joint, constrained to the interval \([-π, π]\).- **Joint Angles (θ)**: The current angles of each joint, also within the interval \([-π, π]\).

### Citation

For more details on the simulation methodology, please refer to:- Diprasetya, M. R., Yuwono, S., Löppenberg, M., & Schwung, A. (2023, July). Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) (pp. 1-7). IEEE.
DOI: 10.15468/dl.x8sm3m
title: Occurrence Download

description: A dataset containing 14373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tanacetum vulgare L."
 ]
}

 The dataset includes 14373 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020892-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7d525c
title: Occurrence Download

description: A dataset containing 62621 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversidad y distribución de las mariposas (Rhopalocera: papilionoidea) en la región occidental del estado de Morelos"
 ]
}

 The dataset includes 62621 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020887-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vu3mvy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Corbicula fluminalis (O.F.Müller, 1774)"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020893-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2l0q0c
title: CCDC 2383962: Experimental Crystal Structure Determination

description: Related Article: J. Rohlíček, V. Eigner, J. Czernek, J. Brus|2025|J.Appl.Crystallogr.|58|321|doi:10.1107/S1600576724012378
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l0py8
title: CCDC 2383960: Experimental Crystal Structure Determination

description: Related Article: J. Rohlíček, V. Eigner, J. Czernek, J. Brus|2025|J.Appl.Crystallogr.|58|321|doi:10.1107/S1600576724012378
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l0pz9
title: CCDC 2383961: Experimental Crystal Structure Determination

description: Related Article: J. Rohlíček, V. Eigner, J. Czernek, J. Brus|2025|J.Appl.Crystallogr.|58|321|doi:10.1107/S1600576724012378
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l0pw6
title: CCDC 2383958: Experimental Crystal Structure Determination

description: Related Article: J. Rohlíček, V. Eigner, J. Czernek, J. Brus|2025|J.Appl.Crystallogr.|58|321|doi:10.1107/S1600576724012378
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l0px7
title: CCDC 2383959: Experimental Crystal Structure Determination

description: Related Article: J. Rohlíček, V. Eigner, J. Czernek, J. Brus|2025|J.Appl.Crystallogr.|58|321|doi:10.1107/S1600576724012378
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.ytj98c
title: Occurrence Download

description: A dataset containing 49237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Populus tremuloides Michx."
 ]
}

 The dataset includes 49237 records from 386 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020896-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1134879.10fu
title: SH1134879.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1134882.10fu
title: SH1134882.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1134883.10fu
title: SH1134883.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1134885.10fu
title: SH1134885.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1134888.10fu
title: SH1134888.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1134890.10fu
title: SH1134890.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1134892.10fu
title: SH1134892.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.