cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13939321
title: BGCs of CRBC (part 2)

description: Reference genomes of root microbes are essential for metagenomic analyses and mechanistic studies of crop root microbiomes. Combining high-throughput bacterial cultivation with metagenomic sequencing, we constructed comprehensive bacterial and viral genome collections from the roots of wheat, rice, maize, and Medicago. The crop root bacterial genome collection (CRBC) significantly expands the quantity and phylogenetic diversity of publicly available crop root bacterial genomes, with 6,699 bacterial genomes (68.9 % from isolates) and 1,817 novel species, expanding crop root bacterial diversity by 290.6%. The crop root viral genome collection (CRVC) contains 9,736 nonredundant viral genomes, with 1,572 previously unreported genus-level clusters in crop roots. From these data, we identified conserved bacterial functions enriched in root microbiomes across soils and host species and uncovered previously unexplored bacteria–virus connections in crop root ecosystems. Together, the CRBC and CRVC serve as valuable resources for investigating microbial mechanisms and applications, supporting sustainable agriculture. CRBC-related BGCs data is divided into two parts because the file is large.
DOI: 10.5281/zenodo.13939322
title: BGCs of CRBC (part 2)

description: Reference genomes of root microbes are essential for metagenomic analyses and mechanistic studies of crop root microbiomes. Combining high-throughput bacterial cultivation with metagenomic sequencing, we constructed comprehensive bacterial and viral genome collections from the roots of wheat, rice, maize, and Medicago. The crop root bacterial genome collection (CRBC) significantly expands the quantity and phylogenetic diversity of publicly available crop root bacterial genomes, with 6,699 bacterial genomes (68.9 % from isolates) and 1,817 novel species, expanding crop root bacterial diversity by 290.6%. The crop root viral genome collection (CRVC) contains 9,736 nonredundant viral genomes, with 1,572 previously unreported genus-level clusters in crop roots. From these data, we identified conserved bacterial functions enriched in root microbiomes across soils and host species and uncovered previously unexplored bacteria–virus connections in crop root ecosystems. Together, the CRBC and CRVC serve as valuable resources for investigating microbial mechanisms and applications, supporting sustainable agriculture. CRBC-related BGCs data is divided into two parts because the file is large.
DOI: 10.15468/dl.wtcknp
title: Occurrence Download

description: A dataset containing 1345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-115.4031 32.58922,-111.38222 31.20074,-107.06396 31.19657,-106.87884 38.91311,-114.10429 38.2975,-115.4031 32.58922))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Year 1000-2000"
 ]
}

 The dataset includes 1345 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013513-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzzfj7
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peucaea botterii botterii"
 ]
}

 The dataset includes 240 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013514-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htad7q
title: Occurrence Download

description: A dataset containing 7846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Spizella atrogularis (Cabanis, 1851)"
 ]
}

 The dataset includes 7846 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013515-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8h7dhz
title: Occurrence Download

description: A dataset listing the 34 species recorded in GBIF matching the query:
{
 "and" : [
 "Year is 2010",
 "TaxonKey is Litoria Tschudi, 1838"
 ]
}

 The dataset's 34 records were derived from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013512-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb3tky
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spizella atrogularis atrogularis"
 ]
}

 The dataset includes 105 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013516-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ahv8j
title: Occurrence Download

description: A dataset containing 1345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-115.4031 32.58922,-111.38222 31.20074,-107.06396 31.19657,-106.87884 38.91311,-114.10429 38.2975,-115.4031 32.58922))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Year 1000-2000"
 ]
}

 The dataset includes 1345 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013517-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27601101.v5
title: Children and Adolescents Meibomian Glands (CAMG) Dataset

description: This dataset includes 1,114 infrared images of upper eyelid meibomian glands collected between June 2020 and July 2024 in 600 participants aged 4 to 18 years. Images were pre-processed including denoising and normalized and manually annotated by 3 junior ophthalmologists and 1 senior ophthalmologist. Subsequently, segmentation is performed using an AI algorithm, and the results are reviewed and corrected by an experienced ophthalmologist. The dataset also includes demographic data and various quantitative parameters of meibomian glands. In addition, we also provide meibomian gland parameters for children and adolescents of different ages and genders to inform clinical practice.
DOI: 10.6084/m9.figshare.27368472.v1
title: Anisarchus_medius_genome

description: The present study is designed to achieve a comprehensive understanding of the Arctic stout eelblenny (Anisarchus medius) by leveraging its chromosome-level genome. Primarily, through advanced sequencing and meticulous assembly techniques, we endeavor to elucidate the intricate genomic architecture, encompassing chromosome characteristics and gene distribution patterns. Secondly, an in-depth analysis of genes and sequences will facilitate the discovery of the molecular mechanisms underlying its survival in the harsh Arctic environment characterized by cold temperatures, high salinity, and unique food availability. This includes identifying genes associated with cold adaptation and efficient metabolic processes. Thirdly, we will explore genes related to its distinctive traits, such as its lipid-rich composition. Fourthly, comparative genomic analysis with other fish species will precisely define its evolutionary position and phylogenetic relationships. Finally, the genome data will serve as a valuable resource for assessing its genetic diversity and population structure, thereby providing crucial guidance for formulating effective conservation strategies for this polar species and making significant contributions to broader studies on fish evolution.
DOI: 10.15468/dl.gqxjwy
title: Occurrence Download

description: A dataset containing 6982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Arremon virenticeps (Bonaparte, 1855)"
 ]
}

 The dataset includes 6982 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013520-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27711831
title: Supplemental Tables.JD.docx

description: supplemental file associated with recent submission
DOI: 10.6084/m9.figshare.27711831.v1
title: Supplemental Tables.JD.docx

description: supplemental file associated with recent submission
DOI: 10.15468/dl.kbs4ag
title: Occurrence Download

description: A dataset containing 4004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.27816 -32.99502,-71.14874 -32.99502,-71.14874 -32.9675,-71.27816 -32.9675,-71.27816 -32.99502))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4004 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013521-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhar82
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arremon virenticeps virenticeps"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013525-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/bdmj-p832
title: An Optical Intelligent Reflective Surface-Aided Indoor NLOS VLC System

description: —As part of Internet of thing networks, visible light communication (VLC) technology has excelled in recent years. When compared to traditional radio frequency (RF) technology, VLC offers the advantages of abundant and unlicensed spectrum bands, no RF-induced interference, inherent security, safety and energy efficiency, making it an excellent choice for short-range communication applications. However, the performance of VLC is severely limited under the non-line-of-sight (NLOS) links. Intelligent reflecting surface (IRS), as an innovative technology, can dynamically and passively adjust the wireless environment. To overcome the impact of NLOS on VLC performance, this paper proposes the use of optical intelligent reflecting surfaces (OIRS) as a solution to this challenge. Using ZEMAX software, we propose a non-sequential ray tracing method to construct a realistic OIRS-aided VLC channel model, which effectively simulates the propagation of light in an OIRS-assisted indoor VLC environment. We establish a system model and formulate the optimization problem as well as propose a dynamic opposite learning and elite strategy-enhanced sine-cosine algorithm (DESCA) to optimize the rotational degrees of freedom of each OIRS element and maximize the optical power at the receiver. Furthermore, we develop a hardware-based experimental platform with a configurable control system for OIRS-aided VLC and use it with DESCA in a real NLOS environment. The system demonstrates improved performance in terms of the received optical power, bit error rate (BER) and transmission distance, achieving a BER of 1×10-6 over a 3.8 m NLOS link. And the experimental results show that the proposed system extends signal coverage, enabling communication between mobile users regardless of their positions.
DOI: 10.15468/dl.6tr425
title: Occurrence Download

description: A dataset containing 36210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Junco phaeonotus Wagler, 1831"
 ]
}

 The dataset includes 36210 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013526-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m74wjk
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Junco phaeonotus phaeonotus"
 ]
}

 The dataset includes 505 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013527-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27711537
title: High-throughtput search for photostrictive materials based on a thermodynamic descriptor

description: The txt file provides the VASP calculated bandgap pressure coefficients of materials (0-2 eV) from MaterialsProject. And the zip file lists bandgap (eV), pressure (kB), and volume (A^3) from SCF calculations.
DOI: 10.15468/dl.hnydgj
title: Occurrence Download

description: A dataset containing 10123 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora de las playas y dunas costeras de México"
 ]
}

 The dataset includes 10123 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013528-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uxz34
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is CAN.11_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Storeria dekayi (Holbrook, 1839)",
 "Year 1990-2024"
 ]
}

 The dataset includes 167 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013531-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfrrwd
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ephedra sinica Stapf, Abies chensiensis Tiegh., Larix potaninii Batalin, Picea neoveitchii Mast., Pseudotsuga sinensis Dode, Taxus chinensis (Pilg.) Rehd., Taxus mairei (Lemée & Lév.) S.Y.Hu ex T.S.Liu, Torreya fargesii Franch., Actinidia arguta (Siebold & Zucc.) Planch. ex Miq., Actinidia callosa Lindl., Actinidia callosa Lindl.)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 72 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013529-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8kyb3
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is CAN.11_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Lampropeltis triangulum (Lacépède, 1789)",
 "Year 1990-2024"
 ]
}

 The dataset includes 138 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013533-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cku7j3
title: Occurrence Download

description: A dataset containing 30725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Passerculus sandwichensis (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 30725 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013532-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.22586086.v2
title: The dual-satellite observation dataset from the IGRF model and SWARM satellites.

description: obs_data
DOI: 10.6084/m9.figshare.22586086.v1
title: Obs_data

description: obs_data
DOI: 10.15468/dl.4557fr
title: Occurrence Download

description: A dataset containing 34430420 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 34430420 records from 3669 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013522-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0185919.10fu
title: SH0185919.10FU

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/sh0185920.10fu
title: SH0185920.10FU

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/sh0185921.10fu
title: SH0185921.10FU

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/sh0185922.10fu
title: SH0185922.10FU

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/sh0185923.10fu
title: SH0185923.10FU

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: 10.71819/jptfd0
title: CAJ | Monitoramento da Avifauna - ETA PIRAÍ - Setembro 2025

description: CAJ | Monitoramento da Avifauna - ETA PIRAÍ - SETEMBRO 2025
DOI: 10.15156/bio/sh0185924.10fu
title: SH0185924.10FU

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.