cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/ywbj3g
title: nlp_salmon.merged.gene_counts.tab

description: Gene counts for the second most permissive condition
DOI: 10.57745/9jehag
title: phylogenetic_hierarchical_orthogroups.N0.tab

description: Phylogenetic hierarchical orthogroups of Bryophytes generated using OrthoFinder 2.5.5
DOI: 10.57745/g7rh0h
title: snhp_i_vs_ni_8_qlf_res_all.degs.functionalAnnot.tab

description: DEGs estimation results of non-permissive condition at 8wpi
DOI: 10.57745/czehvi
title: metadata_transcriptomic.tab

description: Metadata for the transcriptomic analyses
DOI: 10.57745/cjgqis
title: Calfis.functional_annotation.InterProScan.tab

description: InterProScan functional annotation results v64.96.0
DOI: 10.57745/6ethpl
title: orthofinder_species_list.tab

description: The list of representative Bryophytes species used for orthogroups reconstruction
DOI: 10.57745/yjzwbu
title: README.md

description: README file describing the content of this dataset
DOI: 10.57745/md77e8
title: Symbiotic diversification relies on an ancestral gene network in plants

description: We produced the two first genomes of leafy liverworts and demonstrated that one of them, Calypogeia fissa is likely polyploid. Transcriptomic assays of C. fissa in different nutritional and symbiotic conditions revealed that symbiosis is driven by phosphate availability in a nitrogen-dependent manner. Using coombination of functional experiments and multispecies transcriptomics, we demonstrated that the signaling pathway controlling the infection of plants in intracellular symbioses is conserved in land plants.
DOI: 10.15468/dl.rghsav
title: Occurrence Download

description: A dataset containing 571 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Shorea robusta"
 ]
}

 The dataset includes 571 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004176-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.be3b2f21
title: Batterie EULALIES 5-11 ans - Version Audio - Français France - Fiches descriptives des tâches

description: La batterie EULALIES (version Audio - France hexagonale) contient cinq tâches qui mesurent les compétences en parole des enfants.
Chaque document représente une tâche (matériel, consignes, description de la tâche, population testée et analyse des données).

 Il est important de noter que ces données fournissent des repères descriptifs, issus d’un échantillon de taille limitée et dans un contexte sociolinguistique spécifique. Elles ne doivent donc pas être utilisées comme normes, mais constituent une ressource précieuse, qui sera amenée à s’enrichir au fil des prochaines années.

Une erreur a été détectée dans les données de la tache de détection d'alterations phonologiques. Ce document est en cours de modification.
description: Tâche de répétition de pseudomots
description: Tâche de répétition de syllabes
description: Tâche de dénomination d'images
description: Tâche de diadococinésies
DOI: 10.15468/dl.f4zprz
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus pseudosemecarpifolia"
 ]
}

 The dataset includes 262 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004177-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.naf6gr
title: Occurrence Download

description: A dataset containing 343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudo horsfieldii"
 ]
}

 The dataset includes 343 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004178-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17461361
title: Field campaign and UAV dataset

description: 1. Dataset Overview

This dataset contains ground truth samples and high-resolution multispectral imagery acquired via an Unmanned Aerial Vehicle (UAV) for the purpose of monitoring and identifying crop diseases (specifically, ground disease spots). Data collection took place from October 15 to 17, 2023, across agricultural fields in three counties of Ningbo City, Zhejiang Province, China: Fenghua District, Zhenhai District, and Yinzhou District.

The dataset is structured to support research in precision agriculture, remote sensing, and plant pathology, enabling the development of machine learning or spectral analysis models for disease detection.

2. Data Acquisition Details-UAV.zip





UAV Platform: DJI P4 Multispectral (DJI Company, Shenzhen, China).




Sensor: Integrated 5-band multispectral camera.




Spectral Bands:





Blue (B): Center wavelength 450 nm




Green (G): Center wavelength 560 nm




Red (R): Center wavelength 650 nm




Red Edge (RE): Center wavelength 730 nm




Near-Infrared (NIR): Center wavelength 840 nm






Pre-Flight Calibration: Radiometric calibration was performed before each flight using a standard reflectance calibration panel (with 56%, 34%, and 12% reflectance panels). Ambient light interference was compensated for by the integrated sunlight sensor on the UAV.




Data Processing Software: DJI Terra (Version 3.7.6) was used to generate the final orthomosaics. The outputs are georeferenced, geometrically corrected, and radiometrically calibrated reflectance maps, representing surface reflectance values.
DOI: 10.5281/zenodo.17461362
title: Field campaign and UAV dataset

description: 1. Dataset Overview

This dataset contains ground truth samples and high-resolution multispectral imagery acquired via an Unmanned Aerial Vehicle (UAV) for the purpose of monitoring and identifying crop diseases (specifically, ground disease spots). Data collection took place from October 15 to 17, 2023, across agricultural fields in three counties of Ningbo City, Zhejiang Province, China: Fenghua District, Zhenhai District, and Yinzhou District.

The dataset is structured to support research in precision agriculture, remote sensing, and plant pathology, enabling the development of machine learning or spectral analysis models for disease detection.

2. Data Acquisition Details-UAV.zip





UAV Platform: DJI P4 Multispectral (DJI Company, Shenzhen, China).




Sensor: Integrated 5-band multispectral camera.




Spectral Bands:





Blue (B): Center wavelength 450 nm




Green (G): Center wavelength 560 nm




Red (R): Center wavelength 650 nm




Red Edge (RE): Center wavelength 730 nm




Near-Infrared (NIR): Center wavelength 840 nm






Pre-Flight Calibration: Radiometric calibration was performed before each flight using a standard reflectance calibration panel (with 56%, 34%, and 12% reflectance panels). Ambient light interference was compensated for by the integrated sunlight sensor on the UAV.




Data Processing Software: DJI Terra (Version 3.7.6) was used to generate the final orthomosaics. The outputs are georeferenced, geometrically corrected, and radiometrically calibrated reflectance maps, representing surface reflectance values.
DOI: 10.6084/m9.figshare.30464318
title: Air Quality Monitoring Data in China 20150101-20151231

description: This folder contains routine monitoring data of criteria pollutants from 20150101 to 20151231. The stations are codified in the data files and a lookup table for the station codes has also been included.
DOI: 10.6084/m9.figshare.30464318.v1
title: Air Quality Monitoring Data in China 20150101-20151231

description: This folder contains routine monitoring data of criteria pollutants from 20150101 to 20151231. The stations are codified in the data files and a lookup table for the station codes has also been included.
DOI: 10.15468/dl.asbmrx
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muntiacus gongshanensis"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004180-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a42bec
title: Occurrence Download

description: A dataset containing 3726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Papua New Guinea)",
 "TaxonKey is Aeschynanthus"
 ]
}

 The dataset includes 3726 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004179-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwbqyk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Animalia)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "Country is Georgia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2010",
 "Modified is greater than or equal to 2025-10-28"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004182-251025141854904/datasets/export for details.
DOI: 10.15468/dl.xzcg32
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthera onca",
 "Country is Mexico",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2025",
 "HasCoordinate is false",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 44 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004181-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb7zdk
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platypetasus"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004183-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13528598
title: World Weather Repository ( Daily Updating )
DOI: 10.15468/dl.scd7q7
title: Occurrence Download

description: A dataset containing 841909 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Betula pendula"
 ]
}

 The dataset includes 841909 records from 3059 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004165-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1102982.10fu
title: SH1102982.10FU

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/sh1102985.10fu
title: SH1102985.10FU

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/sh1102988.10fu
title: SH1102988.10FU

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/sh1102990.10fu
title: SH1102990.10FU

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/sh1102992.10fu
title: SH1102992.10FU

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/sh1102993.10fu
title: SH1102993.10FU

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/sh1102995.10fu
title: SH1102995.10FU

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/sh1102996.10fu
title: SH1102996.10FU

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/sh1102997.10fu
title: SH1102997.10FU

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: 10.15468/dl.o15j7p
title: Occurrence Download

description: A dataset containing 5004 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anadenanthera colubrina (Vell.) Brenan"
 ]
}

 The dataset includes 5004 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002079-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-16624
title: Independent Commission, hearing transcript, 1991-06-06

description: Independent Commission on the Los Angeles Police Department transcript of hearing in which those interviewed were Tom Bradley, Michael J. Bostic, Ernest Curtsinger, James Kenneth Hahn and John Sherrell, 1991 June 6. PART OF: Commission meetings, 1991 June 6. PART OF A SERIES: Materials in the series fall into one of several categories related to the Independent Commission's work product: (1) Commission meeting materials, which include meeting agendas, work plans, memoranda, and articles about police misconduct that were circulated and reviewed during the Commission's internal meetings; (2) public correspondence, which includes citizen complaints against the LAPD in the form of written testimony, articles, and an audio cassette tape, as well as letters drafted by citizens in support of the LAPD; (3) summaries of interviews held with LAPD officers regarding Departmental procedures and relations; (4) public meeting materials, which include transcripts, supplementary documents, and witness statements that were reviewed at the Commission's public meetings; (5) press releases related to the formation and work product of the Commission; and (6) miscellaneous materials reviewed by the Commission during its study, including LAPD personnel and training manuals, a memorandum of understanding, and messages from the LAPD's Mobile Digital Terminal (MDT) system.
DOI: 10.15468/dl.ln2jpb
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epigonus pandionis (Goode & Bean, 1881)",
 "Country is Colombia"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002079-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.