cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive142772.20241212.9.2
title: Helicobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142779.20241212.9.2
title: Achromobacter xylosoxidans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.21410/7e4/etujuy
title: Panel électoral français 2007 - Vague 2 (entre deux tours présentielle)

description: La 2ème vague (dont il est question ici), entre les deux tours présidentiels ; protocole inédit dans les dispositifs universitaires français, cela permet d'évaluer la nature des transferts de voix entre le premier et le second tour, puisque nous connaissons, au plus près des évènements, à la fois leur vote de premier tour et leur intention de vote de second tour.
DOI: 10.21410/7e4/etujuy/1sllnu
title: Documentation_PEF2007V2.xml

description: :unav
DOI: 10.21410/7e4/etujuy/2go5e0
title: fr_cdsp_ddi_pef2007v2.sas.zip

description: :unav
DOI: 10.21410/7e4/etujuy/fnzlqq
title: Questionnaire_PEFV2.pdf

description: :unav
DOI: 10.21410/7e4/etujuy/girlg1
title: fr_cdsp_ddi_pef2007v2-1.tab

description: :unav
DOI: 10.21410/7e4/etujuy/qmvtik
title: Documentation_PEF2007V2.xml

description: :unav
DOI: 10.21410/7e4/etujuy/qyrlps
title: fr_cdsp_ddi_pef2007v2.csv.zip

description: :unav
DOI: 10.21410/7e4/etujuy/t7wudd
title: Documentation_PEF2007V2.pdf

description: :unav
DOI: 10.21410/7e4/etujuy/zm5ciu
title: fr_cdsp_ddi_pef2007v2.tab

description: :unav
DOI: 10.13145/bacdive142819.20241212.9.2
title: Campylobacter coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142837.20241212.9.2
title: Chryseobacterium anthropi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142838.20241212.9.2
title: Chryseobacterium hominis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142865.20241212.9.2
title: Prevotella buccae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142877.20241212.9.2
title: Comamonas aquatica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.15000770
title: TRACEVE Datasets for Mapping Evergreen Broad-Leaved Cover

description: This dataset collection was developed in a side study of the TRACEVE project (https://www.uibk.ac.at/en/projects/traceve/) and consists of three datasets: s2_vpo2024.nc, s2_vdb2000.nc, and s2_upd.nc, used to train and evaluate deep learning models for mapping evergreen broad-leaved (EVE) cover in Italian forests.



s2_vpo2024.nc: A reference dataset of vegetation plot observations from 1440 plots across five protected areas in Italy. It includes species-level cover values across multiple vertical layers, with a focus on broad-leaved forests.

s2_vdb2000.nc (Forest Vegetation Database Italy): A large-scale collection of 4807 plot observations from various studies across Italy (not older than 2000), used for supervised pretraining. It provides broader ecological diversity for improved model generalization.

s2_upd.nc (Unlabeled Pretraining Dataset): A dataset of 92869 randomly sampled points across Italian forests, derived from Sentinel-2 time series, used for self-supervised learning.


Each plot is assigned the corresponding preprocessed Sentinel-2 L2A time series:



cloud removal based on Sen2Cor Scene Classification

offset correction according to latest baseline

DN scaled to reflectance


These datasets support research on deep learning-based forest mapping and pretraining strategies. They can be used in studies on transfer learning, time-series analysis, and large-scale vegetation monitoring in Italy.

For more details, see the related publication: Advancing forest mapping: pretraining strategies and deep-ensemble based uncertainty for predicting evergreen broad-leaved cover.
DOI: 10.5281/zenodo.15000771
title: TRACEVE Datasets for Mapping Evergreen Broad-Leaved Cover

description: This dataset collection was developed in a side study of the TRACEVE project (https://www.uibk.ac.at/en/projects/traceve/) and consists of three datasets: s2_vpo2024.nc, s2_vdb2000.nc, and s2_upd.nc, used to train and evaluate deep learning models for mapping evergreen broad-leaved (EVE) cover in Italian forests.



s2_vpo2024.nc: A reference dataset of vegetation plot observations from 1440 plots across five protected areas in Italy. It includes species-level cover values across multiple vertical layers, with a focus on broad-leaved forests.

s2_vdb2000.nc (Forest Vegetation Database Italy): A large-scale collection of 4807 plot observations from various studies across Italy (not older than 2000), used for supervised pretraining. It provides broader ecological diversity for improved model generalization.

s2_upd.nc (Unlabeled Pretraining Dataset): A dataset of 92869 randomly sampled points across Italian forests, derived from Sentinel-2 time series, used for self-supervised learning.


Each plot is assigned the corresponding preprocessed Sentinel-2 L2A time series:



cloud removal based on Sen2Cor Scene Classification

offset correction according to latest baseline

DN scaled to reflectance


These datasets support research on deep learning-based forest mapping and pretraining strategies. They can be used in studies on transfer learning, time-series analysis, and large-scale vegetation monitoring in Italy.

For more details, see the related publication: Advancing forest mapping: pretraining strategies and deep-ensemble based uncertainty for predicting evergreen broad-leaved cover.
DOI: 10.13145/bacdive142894.20241212.9.2
title: Chryseobacterium anthropi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive142967.20241212.9.2
title: Haemophilus intermedius subsp. intermedius

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143011.20241212.9.2
title: Shewanella hanedai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143023.20241212.9.2
title: Vibrio natriegens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143024.20241212.9.2
title: Vibrio natriegens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143081.20241212.9.2
title: Brachyspira innocens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143130.20241212.9.2
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143159.20241212.9.2
title: Weissella confusa

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143175.20240916.9.1
title: Capnocytophaga canimorsus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143179.20241212.9.2
title: Herbaspirillum rubrisubalbicans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143210.20241212.9.2
title: Brucella melitensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143214.20241212.9.2
title: Arcobacter cryaerophilus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.21227/0fe7-7621
title: DDoS Test Run Data set

description: Distributed Denial of Service (DDoS) attacks,particularly those executed by bots, significantly impair theQuality of Service (QoS) for legitimate users. While network-levelDDoS attacks have been largely mitigated through decades ofresearch, application-level DDoS attacks remain a challenge dueto the difficulty in distinguishing malicious from legitimate traffic.Traditional approaches have relied on statistical models analyzingIP addresses, traffic, and server access patterns, yet these modelsoften struggle with interpretability and can falsely identifylegitimate traffic as malicious, especially in scenarios wheremultiple users share a single public IP address. Additionally,solutions like Captcha, while popular, detract from the userexperience. This paper introduces Path-Frequency-Time (PFT), adeterministic framework that employs a multi-modal approach toidentify bot traffic accurately. It leverages criteria such as lack ofproper authentication and authorization, missing requestparameters, improper query formatting, violations of requestfrequency and concurrency limits, and inconsistencies with theapplication's flow. Depending on the nature of the breach, thecertainty of a bot attack is assessed, and a corresponding level ofresponse is initiated. This response can vary from temporarily‘suspending the request’ to completely ‘blocking the user’. Wehave applied PFT to our crowdsourced LandslideTrackerapplication and validated its effectiveness through simulated tests.Our results demonstrate that PFT maintains QoS for legitimateusers, even in the presence of substantial bot traffic.
DOI: 10.13145/bacdive143241.20241212.9.2
title: Mobiluncus mulieris

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5519/qd.lkos9cje
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (10 records)
DOI: 10.13145/bacdive143242.20241212.9.2
title: Mobiluncus curtisii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143288.20241212.9.2
title: Campylobacter jejuni subsp. doylei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.sy2spg
title: Occurrence Download

description: A dataset containing 510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erynnis montanus (Bremer, 1861)",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 510 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060754-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5ubcn
title: Occurrence Download

description: A dataset containing 1622040 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryopteridaceae"
 ]
}

 The dataset includes 1622040 records from 1310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001633-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu6n4s
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tmesipteris parva N.A.Wakef.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 337 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141075-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrfnfz
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boechera saximontana (Rollins) Windham & Al-Shehbaz"
 ]
}

 The dataset includes 76 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060765-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezract
title: Occurrence Download

description: A dataset containing 1120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Utricularia juncea Vahl"
 ]
}

 The dataset includes 1120 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001637-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9jgva
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium rouyi Gaut."
 ]
}

 The dataset includes 146 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109084-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekysxv
title: Occurrence Download

description: A dataset containing 20847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "License is CC0 1.0",
 "MediaType is Image",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 20847 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001613-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb2uzb
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica desnottesii Emb. & Maire"
 ]
}

 The dataset includes 23 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060825-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuuo6m
title: Occurrence Download

description: A dataset containing 23065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.74923 44.34082,-78.70597 44.34082,-78.70597 44.38408,-78.74923 44.38408,-78.74923 44.34082))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23065 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023281-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dabgq
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Biarum syriacum (Spreng.) Riedl"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052163-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnavpz
title: Occurrence Download

description: A dataset containing 1059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylocereus undatus (Haw.) Britton & Rose"
 ]
}

 The dataset includes 1059 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001615-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0212264.10fu
title: SH0212264.10FU

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/sh0212265.10fu
title: SH0212265.10FU

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/sh0212266.10fu
title: SH0212266.10FU

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/sh0212267.10fu
title: SH0212267.10FU

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/sh0212268.10fu
title: SH0212268.10FU

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/sh0212269.10fu
title: SH0212269.10FU

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.