cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/3yep-hw96
title: "Airborne Object Detection and Threat Analysis (AODTA) Dataset"

description: "Abstract\u2014With the growing use of airborne objects such as commercial aircraft, drones, and UAVs, there is an urgent need for real-time automated threat assessment. Existing methods rely heavily on manual observation, leading to inefficiencies. In this work, we propose a dual-task EfficientNetB4-based model for airborne object classification and threat-level prediction. Due to the lack of a clean and well-balanced dataset, we developed the AODTA Dataset by integrating multiple public sources. We compared performance on both the AVD Dataset and our proposed AODTA Dataset, and also evaluated ResNet-50, which under performed compared to EfficientNetB4. The EfficientNetB4 model achieved 96% object classification accuracy and 90% threat-level prediction accuracy, demonstrating strong potential for surveillance, defense, and airspace management applications. While the title refers to \u201cdetection,\u201d in this work, we focus specifically on airborne object classification and threat-level prediction, using already localized object images provided by public datasets."
DOI: 10.25582/data.2023-05.2816375/2367903
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.zbtjox
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Guettarda argentea Lam.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010631-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5waqpe
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Occurence of the white grouper (Epinephelus aeneus) based on videos by recreational fishing on YouTube",
 "Year is 2017"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274934-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcyqkz
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Transcription of selected miombo timber species of a floristic inventory in Cuando-Cubango, Angola"
 ]
}

 The dataset includes 165 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274202-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2816721/2367904
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.d6aqss
title: Occurrence Download

description: A dataset containing 134775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-121.01981 32.53386,-114.33519 32.53386,-114.33519 35.43061,-121.01981 35.43061,-121.01981 32.53386))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 134775 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250886-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oqexcr
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abutilon grandifolium (Willd.) Sweet",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 444 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010631-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2816917/2367905
title: Data for EMSL Project 51287 from May 2023
DOI: 10.5281/zenodo.11398661
title: Source data for "Optimizing 5'UTRs for mRNA-delivered gene editing using deep learning"
DOI: 10.5281/zenodo.11398662
title: Source data for "Optimizing 5'UTRs for mRNA-delivered gene editing using deep learning"
DOI: 10.15468/dl.q5ct27
title: Occurrence Download

description: A dataset containing 16387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosa micrantha Borrer ex Sm.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16387 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300081-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2816687/2367906
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.dhugxn
title: Occurrence Download

description: A dataset containing 1596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Rotifera"
 ]
}

 The dataset includes 1596 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064627-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwgny7
title: Occurrence Download

description: A dataset containing 729 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 729 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010631-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2817869/2367907
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.t8dmf6
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.875 52.475,6.925 52.475,6.925 52.525,6.875 52.525,6.875 52.475))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307955-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmb648
title: Occurrence Download

description: A dataset containing 2967244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Actitis Illiger, 1811"
 ]
}

 The dataset includes 2967244 records from 1047 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250227-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oievc3
title: Occurrence Download

description: A dataset containing 1711 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia elliptica Thunb."
 ]
}

 The dataset includes 1711 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010631-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2816075/2367908
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.93vud5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is Portugal"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aspicilia desertorum (Kremp.) Mereschk."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000359-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afz4qs
title: Occurrence Download

description: A dataset containing 2138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.875 52.675,6.925 52.675,6.925 52.725,6.875 52.725,6.875 52.675))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2138 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307951-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2816684/2367909
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.8nacue
title: Occurrence Download

description: A dataset containing 1223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cortusa matthioli L."
 ]
}

 The dataset includes 1223 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010631-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18178372
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Wallace Donnelly, http://www.wikidata.org/entity/Q22112225. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q22112225
DOI: 10.6084/m9.figshare.31015030
title: Source data for "Inflammatory pain alters colorectal motility via spinal oxytocinergic pathways"

description: Source data underlying the quantitative analyses presented in the manuscript of Inflammatory pain alters colorectal motility via spinal oxytocinergic pathways.
DOI: 10.6084/m9.figshare.31015030.v1
title: Source data for "Inflammatory pain alters colorectal motility via spinal oxytocinergic pathways"

description: Source data underlying the quantitative analyses presented in the manuscript of Inflammatory pain alters colorectal motility via spinal oxytocinergic pathways.
DOI: 10.5281/zenodo.17294331
title: IBM_compound_master_list
DOI: 10.5281/zenodo.17294332
title: IBM_compound_master_list
DOI: 10.15468/dl.ubjzwq
title: Occurrence Download

description: A dataset containing 23127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balaenoptera musculus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 1532",
 "Year is less than or equal to 2020",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 23127 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064798-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0155105.10fu
title: SH0155105.10FU

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/sh0155106.10fu
title: SH0155106.10FU

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: 10.6084/m9.figshare.31034395.v1
title: Dataset for <b>Characteristics and Ambient Conditions of Mesoscale Convective Systems Moving Offshore in the Yangtze-Huai River Basin, East China</b>

description: The MCS dataset used in the article。
DOI: 10.15156/bio/sh0155107.10fu
title: SH0155107.10FU

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/sh0155108.10fu
title: SH0155108.10FU

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/sh0155109.10fu
title: SH0155109.10FU

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/sh0155110.10fu
title: SH0155110.10FU

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/sh0155111.10fu
title: SH0155111.10FU

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: 10.5281/zenodo.18171137
title: Experimental data of OHA-GEL, ADA-GEL and alginate hydrogels for hyperelastic parameter identification

description: Experimental raw data of 3.75/3.75 OHA-GEL, 3.75/2.5 OHA-GEL, 1.25/3.75 OHA-GEL, 0.6% ADA-GEL, 1.2% Alginate, 0.6% Alginate, and 0.3% Alginate hydrogels is stored in data_OHA-GEL_ADA-GEL_Alg.zip. The testing protocol consists of three cycles of uniaxial compression and tension up to 15% strain with a velocity of 40µm/s. The specimens were cylindrical with a diameter of ~8mm. The radius in m of each specimen is stored in the corresponding _geom.yaml file.

The data have been filtered (moving average and linear interpolation) and the load/unload curves averaged to approximate the hyperelastic material response for infinitely slow strain rates using the cyclic compression-tension data. The processed averaged hyperelastic data can be found in the folder out_OHA-GEL_ADA-GEL_Alg.zip. There are separate files for the first (c1), second (c2) and the third cycle (c3). The files contain time in s, normal force in N and displacement in m. The data are split into negative (_neg) and positive (_pos) parts. The averaged height and radius in m for each hydrogel composition is stored in the geometry.yaml file.

Further explanation regarding the specimen preparation and experimental setup will be added after publication of the corresponding journal article. 

Funding: We gratefully acknowledge the financial support by the German Research Foundation (DFG), projects 460333672 - CRC1540 EBM (subproject C04) and 326998133 - TRR 225 (subproject B09).
DOI: 10.15156/bio/sh0155112.10fu
title: SH0155112.10FU

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/sh0155113.10fu
title: SH0155113.10FU

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.