cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jnym8e
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xanthoceras sorbifolium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 159 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014304-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18404985
title: Cybersecurity dataset of water distribution plant communications under MITM attacks

description: This dataset contains MQTT communication records from a water distribution level control system subjected to Man-in-the-Middle (MITM) cyberattacks. The system is composed of multiple level plants (physical and virtual) exchanging control commands and process measurements through an MQTT broker.

MITM attacks target both communication directions:



Control commands (…/consigna), sent from a supervisory PC to the plants

Process parameters (…/parametros), sent from the plants to the PC


During an attack campaign, message payloads are selectively modified depending on the message source. For control commands, pump and/or valve setpoints are altered according to predefined probabilities. For process messages, sensor readings and/or control signals are manipulated. Value modifications follow realistic constraints, introducing moderate (5–20%) or severe (up to 80%) deviations relative to the original value.

Each record includes both original and modified messages, linked through a shared UUID, allowing direct comparison and integrity analysis. Attack campaigns have variable durations and are separated by cooldown periods to emulate realistic intrusion behavior.

Acknowledgements

This activity is carried out in execution of the Strategic Project "Critical infrastructures cybersecure through intelligent modeling of attacks, vulnerabilities and increased security of their IoT devices for the water supply sector" (C061/23), the result of a collaboration agreement signed between the National Institute of Cybersecurity (INCIBE) and the University of A Coruña. This initiative is carried out within the framework of the funds of the Recovery, Transformation and Resilience Plan, financed by the European Union (Next Generation), the project of the Government of Spain that outlines the roadmap for the modernization of the Spanish economy, the recovery of economic growth and job creation, for the solid, inclusive and resilient economic reconstruction after the COVID19 crisis, and to respond to the challenges of the next decade.
DOI: 10.5281/zenodo.18404986
title: Cybersecurity dataset of water distribution plant communications under MITM attacks

description: This dataset contains MQTT communication records from a water distribution level control system subjected to Man-in-the-Middle (MITM) cyberattacks. The system is composed of multiple level plants (physical and virtual) exchanging control commands and process measurements through an MQTT broker.

MITM attacks target both communication directions:



Control commands (…/consigna), sent from a supervisory PC to the plants

Process parameters (…/parametros), sent from the plants to the PC


During an attack campaign, message payloads are selectively modified depending on the message source. For control commands, pump and/or valve setpoints are altered according to predefined probabilities. For process messages, sensor readings and/or control signals are manipulated. Value modifications follow realistic constraints, introducing moderate (5–20%) or severe (up to 80%) deviations relative to the original value.

Each record includes both original and modified messages, linked through a shared UUID, allowing direct comparison and integrity analysis. Attack campaigns have variable durations and are separated by cooldown periods to emulate realistic intrusion behavior.

Acknowledgements

This activity is carried out in execution of the Strategic Project "Critical infrastructures cybersecure through intelligent modeling of attacks, vulnerabilities and increased security of their IoT devices for the water supply sector" (C061/23), the result of a collaboration agreement signed between the National Institute of Cybersecurity (INCIBE) and the University of A Coruña. This initiative is carried out within the framework of the funds of the Recovery, Transformation and Resilience Plan, financed by the European Union (Next Generation), the project of the Government of Spain that outlines the roadmap for the modernization of the Spanish economy, the recovery of economic growth and job creation, for the solid, inclusive and resilient economic reconstruction after the COVID19 crisis, and to respond to the challenges of the next decade.
DOI: 10.15468/dl.qqzkma
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - ORY - Paris Orly-Inventaires Aéro Biodiversité - ORY - Point d'EPOC 10"
 ]
}

 The dataset's 8 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014293-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syns2x
title: Occurrence Download

description: A dataset listing the 11 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - ORY - Paris Orly-Inventaires Aéro Biodiversité - ORY - Point d'EPOC 1"
 ]
}

 The dataset's 11 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014296-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evjwhq
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is Filogeografía y recursos genéticos de las vainillas de México"
 ]
}

 The dataset includes 142 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014305-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18496821
title: TESTE

description: TESTE ZENODO
DOI: 10.5281/zenodo.18405387
title: Cybersecurity dataset of water distribution plant communications under DDoS attacks

description: This dataset contains MQTT communication data from a water distribution control system subjected to Distributed Denial-of-Service (DDoS) attacks targeting the MQTT broker.

Four types of DDoS attacks are represented:



Volumetric attacks, generating high message rates

Burst attacks, with intermittent high-frequency traffic from multiple clients

Low-and-slow attacks, characterized by low rates and large payload sizes

Amplification attacks, where each message triggers multiple responses


Attack traffic is generated in parallel from multiple simulated sources and intensifies over time. In addition to valid control payloads, random data of varying sizes is injected to increase network and broker load. Due to storage constraints, some auxiliary payload data is not fully recorded in the CSV files.

Attack campaigns have variable durations and are subject to strict cooldown periods, ensuring realistic alternation between normal operation and attack conditions.

Acknowledgements

This activity is carried out in execution of the Strategic Project "Critical infrastructures cybersecure through intelligent modeling of attacks, vulnerabilities and increased security of their IoT devices for the water supply sector" (C061/23), the result of a collaboration agreement signed between the National Institute of Cybersecurity (INCIBE) and the University of A Coruña. This initiative is carried out within the framework of the funds of the Recovery, Transformation and Resilience Plan, financed by the European Union (Next Generation), the project of the Government of Spain that outlines the roadmap for the modernization of the Spanish economy, the recovery of economic growth and job creation, for the solid, inclusive and resilient economic reconstruction after the COVID19 crisis, and to respond to the challenges of the next decade.
DOI: 10.5281/zenodo.18405388
title: Cybersecurity dataset of water distribution plant communications under DDoS attacks

description: This dataset contains MQTT communication data from a water distribution control system subjected to Distributed Denial-of-Service (DDoS) attacks targeting the MQTT broker.

Four types of DDoS attacks are represented:



Volumetric attacks, generating high message rates

Burst attacks, with intermittent high-frequency traffic from multiple clients

Low-and-slow attacks, characterized by low rates and large payload sizes

Amplification attacks, where each message triggers multiple responses


Attack traffic is generated in parallel from multiple simulated sources and intensifies over time. In addition to valid control payloads, random data of varying sizes is injected to increase network and broker load. Due to storage constraints, some auxiliary payload data is not fully recorded in the CSV files.

Attack campaigns have variable durations and are subject to strict cooldown periods, ensuring realistic alternation between normal operation and attack conditions.

Acknowledgements

This activity is carried out in execution of the Strategic Project "Critical infrastructures cybersecure through intelligent modeling of attacks, vulnerabilities and increased security of their IoT devices for the water supply sector" (C061/23), the result of a collaboration agreement signed between the National Institute of Cybersecurity (INCIBE) and the University of A Coruña. This initiative is carried out within the framework of the funds of the Recovery, Transformation and Resilience Plan, financed by the European Union (Next Generation), the project of the Government of Spain that outlines the roadmap for the modernization of the Spanish economy, the recovery of economic growth and job creation, for the solid, inclusive and resilient economic reconstruction after the COVID19 crisis, and to respond to the challenges of the next decade.
DOI: 10.15468/dl.hvqjcp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Justicia oreopola"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014306-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9emku3
title: Occurrence Download

description: A dataset listing the 49559 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Guatemala"
 ]
}

 The dataset's 49559 records were derived from 1688 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014291-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr35368.v3
title: Survey of Consumer Attitudes and Behavior, December 2004
title: Version 3

description: The Survey of Consumer Attitudes and Behavior Series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter.

The surveys conducted in 2004 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, computers, and other durables. Also explored in this survey were respondents' types of savings and financial investments, loan use, family income, and retirement planning.


Other topics in this series typically include ownership, lease, and use of automobiles, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: This survey is a rotating panel design. For each monthly sample, an independent cross-section sample of households is drawn. The respondents chosen in this drawing are then reinterviewed six months later. The result is a rotating panel design, and the total sample for any one survey is normally made up of 60 percent new respondents with 40 percent being interviewed for the second time.
description: The data are not weighted, however, his collection contains four weight variables: WT_AD (ADULT WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT (HOUSEHOLD HEAD WEIGHT) that must be used in any analysis. For more information on weights and sampling visit the

Surveys of Consumers Web site and refer to the documentation on Sample Design, and the section on Sample Weights.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: 
DS0: Study-Level Files
DS1: Public-Use Data
DS2: Restricted-Use Data
description: Persons aged 18 years or older living in households with telephones within the coterminous United States. Smallest Geographic Unit: FIPS code
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.57702/1asdjx8s
title: LSUN Churches

description: The dataset used for training and testing the Conditionally-Independent Pixel Synthesis (CIPS) generator.
DOI: 10.57702/b2aj50ej
title: HRV dataset for IHD diagnosis

description: The dataset used in this study consists of 243 subjects, including 156 normal subjects and 87 IHD patients. The dataset includes 18 non-invasive features, including age, gender, left ventricular ejection fraction, and 15 HRV parameters.
DOI: 10.57702/6nyuxcpx
title: Dutch Academic Hospital Dataset

description: The Dutch Academic Hospital Dataset is a publicly dataset made available by the Business Process Intelligence (BPI) challenge in 2011 by a hospital in the Netherlands.
DOI: 10.15468/dl.usg2pe
title: Occurrence Download

description: A dataset containing 2414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON Z(((-63.27149 -3.786 0,-64.02678 -4.43113 0,-63.22178 -4.86373 0,-62.9347 -4.76908 0,-62.88502 -4.71989 0,-62.85962 -4.69987 0,-62.42673 -4.24118 0,-63.27149 -3.786 0)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2414 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080208-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/wfcqq0mm
title: MIMIC-III Discharge Summaries

description: The dataset used in this paper is a subset of the MIMIC-III dataset, containing 47,427 discharge summaries.
DOI: 10.57702/teimtpwn
title: Topology-aware Latent Diffusion for 3D Shape Generation

description: A new generative model that combines latent diffusion with persistent homology to create 3D shapes with high diversity, with a special emphasis on their topological characteristics.
DOI: 10.57702/pgb730h3
title: Deep-CAPTCHA

description: A deep learning based CAPTCHA solver for vulnerability assessment
DOI: 10.57702/8v284k30
title: RetargetMe dataset

description: The RetargetMe dataset is used for evaluating the performance of image retargeting algorithms.
DOI: 10.57702/glz03wza
title: The China Physiological Signal Challenge 2018

description: Open access database for evaluating algorithms of electrocardiogram rhythm and morphology abnormality detection
DOI: 10.57702/85ktg7tl
title: CDD

description: The CDD dataset is a collection of remote sensing images with seasonal changes and different lighting conditions.
DOI: 10.57702/um1zj9sc
title: MovieLens 1 Million Dataset and LDOS-CoMoDa Dataset

description: The dataset used in the paper is MovieLens 1 Million Dataset and LDOS-CoMoDa Dataset
DOI: 10.57702/xn9ne5ad
title: AI-Feynman database

description: The AI-Feynman database is a widely used public benchmark for symbolic regression.
DOI: 10.57702/f5xey2bu
title: Few-shot bioacoustic event detection at the DCASE 2022 challenge

description: Few-shot bioacoustic event detection at the DCASE 2022 challenge.
DOI: 10.57702/1gghtev5
title: MSRVTT-QA

description: Video question answering (VideoQA) requires systems to understand the visual information and infer an answer for a natural language question from it.
DOI: 10.57702/8hyhhatg
title: Brown Corpus

description: The Brown corpus is an out-of-domain dataset.
DOI: 10.57702/usuhshtf
title: Event-based Visuomotor Policies

description: Event-based camera data used for learning event-based visuomotor policies
DOI: 10.57702/rm3y0dxn
title: Tweet dataset

description: The dataset used in this paper is a collection of short texts, including tweets, Pascal Flickr captions, and search snippets.
DOI: 10.57702/a7ssgpwd
title: AOL Query Log Dataset

description: The AOL query log dataset consists of search queries collected over a period, aiming to estimate the frequency of various search phrases.
DOI: 10.57702/n0mma8o0
title: Morse Potential Dataset

description: The dataset used in this paper is a collection of data on cell-cell interactions, including the Morse potential and its properties.
DOI: 10.57702/xzsfvw37
title: ColBERT

description: ColBERT: Efficient and effective passage search via contextualized late interaction over BERT
DOI: 10.15468/dl.hq4hgz
title: Occurrence Download

description: A dataset containing 40902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amaranthus retroflexus, Amaranthus bulgaricus, Amaranthus bullatus, Amaranthus bullatus, Amaranthus chlorostachys, Amaranthus curvifolius, Amaranthus delilei, Amaranthus dubius, Amaranthus johnstonii, Amaranthus patulus delilei, Amaranthus recurvatus, Amaranthus retroflexus rubricaulis, Amaranthus retroflexus rubricaulis, Amaranthus retroflexus delilei, Amaranthus retroflexus salicifolius, Amaranthus retroflexus delilei, Amaranthus retroflexus genuinus, Amaranthus retroflexus genuinus, Amaranthus retroflexus major, Amaranthus retroflexus retroflexus, Amaranthus retroflexus rubricaulis, Amaranthus retroflexus salicifolius, Amaranthus rigidus, Amaranthus rigidus, Amaranthus spicatus, Amaranthus strictus, Amaranthus texidoris, Amaranthus tremolsii, Amaranthus wilczekii, Galliaria retroflexa, Galliaria scabra, Pyxidium retroflexum)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2024",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 4500",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample, Living Specimen)"
 ]
}

 The dataset includes 40902 records from 551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080206-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/427-g25-96r
title: Corispermum pungens Vahl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9gs-dx5-0m7
title: Drimys piperita Hook. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pgx-kve-k6m
title: Drimys piperita Hook. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.21233/n3dd99
title: Site 62 (Ritchie, J.C. 1974) pollen surface sample dataset

description: Raw data for the Site 62 (Ritchie, J.C. 1974) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.3535/2rg-hl4-f5g
title: Veronica teucrium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/s32-y5v-fjp
title: Drimys piperita Hook. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.26131/irsa403
title: Spitzer Public Legacy Survey of the UKIDSS Ultra Deep Survey (SpUDS)

description: SpUDS is a survey of the ~1 square degree UKIDSS Ultra Deep Survey (UDS). The survey consists of deep IRAC and 24 micron MIPS observations. The UDS is the largest deep near-infrared (JHK) survey in existence, and the first capable of sampling representative cosmological volumes (100x100 Mpc) out to the highest redshifts (z&gt;6).

This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.3535/psh-bm0-dne
title: Kalidium foliatum (Pall.) Moq.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6dj-7cr-lhd
title: Veronicastrum virginicum (L.) Farw.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lx5-5kj-m7p
title: Hoppea dichotoma Hayne ex Willd.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/hf9-zxq-kgw
title: Veronica teucrium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v9j-rew-e9x
title: Veronica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1as-7lz-tsj
title: Veronica pinnata L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/342-nc7-bz2
title: Corispermum squarrosum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j97-mhb-4nf
title: Drimys piperita Hook. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/55k-mh5-ykp
title: Drimys piperita Hook. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tt5-qlf-82r
title: Veronica biloba Schreb. ex L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gve-zms-b4s
title: Veronica linariifolia Pall. ex Link

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cml-nbv-tfz
title: Drimys piperita Hook. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.