cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14590338
title: VARIATIONIST SOCIOLINGUISTICS IN THE DIGITAL AGE: CHALLENGES OF ANALYZING ONLINE COMMUNICATION

description: This article explores the challenges and opportunities of applying variationist sociolinguistics to the analysis of online communication in the digital age. It examines how traditional methods of sociolinguistic analysis are being adapted to study the unique linguistic features of digital platforms. The article discusses issues such as data collection, the fluidity of online identities, and the impact of rapidly evolving digital languages on linguistic variation. By analyzing these challenges, the study provides insights into the future directions of sociolinguistic research in the context of digital communication.
DOI: 10.5281/zenodo.14590339
title: VARIATIONIST SOCIOLINGUISTICS IN THE DIGITAL AGE: CHALLENGES OF ANALYZING ONLINE COMMUNICATION

description: This article explores the challenges and opportunities of applying variationist sociolinguistics to the analysis of online communication in the digital age. It examines how traditional methods of sociolinguistic analysis are being adapted to study the unique linguistic features of digital platforms. The article discusses issues such as data collection, the fluidity of online identities, and the impact of rapidly evolving digital languages on linguistic variation. By analyzing these challenges, the study provides insights into the future directions of sociolinguistic research in the context of digital communication.
DOI: 10.6073/pasta/76cd7a65a701615a8b1dc2c7e31b40eb
title: Dataset for: The influence of mixing on seasonal carbon dioxide and methane fluxes in ponds

description: Inland waters are important sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4). Ponds have amongst the highest CO2 and CH4 fluxes of all aquatic ecosystems, yet seasonal variation in fluxes remain poorly characterized, creating challenges for accurately estimating annual emissions. Further, ponds can exhibit a range of mixing regimes, yet the impact of mixing regimes on gas emissions remains unclear. Here, we assessed annual dynamics of CO2 and CH4 in four temperate ponds (Minnesota, USA) that varied in mixing regimes. This dataset includes high frequency temperature data for each pond to asses mixing, and CO2 and CH4 emissions and concentrations taken by-weekly from 2021-2022.
DOI: 10.57702/ub6hl2hp
title: Binary Treatment in Stochastic Production Frontier

description: The dataset is used for the analysis of the effectiveness of a soil conservation program in El Salvador. It contains data on the total value of production, inputs, environmental factors, and participation in the program.
DOI: 10.57702/zrxbqciv
title: Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation

description: This paper makes one of the first efforts toward automatically generating complex questions from knowledge graphs.
DOI: 10.15468/dl.hw6jbd
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heterotheca latifolia Buckley",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 84 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055365-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/cmaze2ib
title: AMR-to-Text dataset for Abstract Meaning Representations

description: The AMR-to-Text dataset contains questions answerable using Abstract Meaning Representations.
DOI: 10.57702/7npqi0lv
title: Lasry–Lions Envelopes and Nonconvex Optimization: A Homotopy Approach

description: The dataset used in the paper is a composite minimization problem with a nonconvex and nonsmooth term.
DOI: 10.57702/gnku90pq
title: Binary-Signal Decoding

description: The dataset used in the paper is a binary-signal decoding problem with a nonconvex constraint.
DOI: 10.57702/y612eicj
title: Stock Market Indices and Stock Prices

description: The dataset contains stock market indices and stock prices of companies.
DOI: 10.57702/vkwtua27
title: Global Stock Market Indices and Stock Prices

description: The dataset contains 12 leading global stock indices and stock prices of companies.
DOI: 10.57702/o69aluhk
title: FLORES-101 Evaluation Benchmark

description: A machine translation benchmark for low-resource and multilingual machine translation.
DOI: 10.57702/3e7akcuw
title: AstroClassification and Redshifts

description: The dataset used in the paper is a collection of astronomical time-series data, including 14 types of astronomical time-varying objects, simulated using the expected instrument characteristics and survey strategy of the upcoming Legacy Survey of Space and Time.
DOI: 10.57702/iym7t9hq
title: DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing

description: A two-fold solution: (i) We consider optical flow as our visual features, which are predicted using a deep neural network. (ii) These flow features are then systematically integrated with depth estimates provided by another neural network using interaction matrix.
DOI: 10.57702/hryx5lst
title: Virtual Home

description: Virtual Home dataset for simulating household activities
DOI: 10.57702/kq8thm16
title: SFU Lab

description: Colour constancy benchmark datasets
DOI: 10.5519/qd.soqpfszh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.57702/wurhxe7f
title: Grey Ball

description: Colour constancy benchmark datasets
DOI: 10.57702/3xj2ai06
title: Real ORNL Automotive Dynamometer (ROAD) CAN Intrusion Dataset

description: The ROAD dataset is a comprehensive guide to publicly available CAN data that is useful for CAN IDS research, detailing the pros, cons, and suggested uses for each dataset.
DOI: 10.15468/dl.mtfbhw
title: Occurrence Download

description: A dataset containing 406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muhlenbergia capillaris (Lam.) Trin.",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 406 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055366-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/5bzpaw1y
title: TU Eindhoven Lab Automotive CAN Bus Intrusion Dataset

description: The TU Eindhoven Lab Automotive CAN Bus Intrusion Dataset is a real CAN dataset that was used for testing the CAN IDS.
DOI: 10.57702/fqz9fdk8
title: CrySyS Lab Can-Log-Infector & Ambient CAN Traces

description: The CrySyS Lab Can-Log-Infector & Ambient CAN Traces dataset is a real CAN dataset that was used for testing the CAN IDS.
DOI: 10.57702/fqzsmwin
title: Meta-StyleSpeech: Multi-speaker adaptive text-to-speech generation

description: Dataset for style transfer in neural TTS.
DOI: 10.57702/44huq4hf
title: Unified Mandarin TTS front-end based on distilled BERT model

description: Dataset for unified Mandarin TTS front-end based on distilled BERT model.
DOI: 10.6073/pasta/f51d09f89902ff4096b5e5d46e50b886
title: Data from “A Mixed Method Approach to Understanding the Public Health Impact of a School-Based Citizen Science Program to Reduce Arsenic in Private Well Water”

description: Objectives
 We have approached the problem of low well water testing rates in Maine and New Hampshire communities by developing the All About Arsenic (AAA) project, which engages secondary school teachers and students as citizen scientists in collecting well water samples for analysis of arsenic and other toxic metals and supports their outreach efforts to their communities. 
 
 Methods
 We assessed this project’s public health impact by analyzing student data relative to existing well water quality datasets in both states. In addition, we surveyed private well owners who contributed well water samples to the project to determine the actions taken to mitigate arsenic in well water. 
 
 Data
 The data presented here are used in the analyses performed for the publication: "A Mixed Method Approach to Understanding the Public Health Impact of a School-Based Citizen Science Program to Reduce Arsenic in Private Well Water.” 
 
 Additional data may be available at:
 The Anecdata Project Page: https://anecdata.org/projects/view/299
 
 The project website: https://www.allaboutarsenic.org/
DOI: 10.57702/hbpvyr3e
title: FingerNet EEG dataset

description: The dataset used in the study of FingerNet, a deep neural network for fine motor imagery classification using EEG signals.
DOI: 10.57702/5zs7zcag
title: APAC Model for Arbitration between Planning and Habitual Control Systems

description: The dataset used in this paper is a simulated two-joint robotic arm task with a target reaching task.
DOI: 10.57702/6ghynxfi
title: Neural Speaker Diarization for Unlimited Number of Speakers Using End-to-End Speaker-Attributed ASR

description: This paper presents Transcribe-to-Diarize, a new approach for neural speaker diarization that uses an end-to-end (E2E) speaker-attributed automatic speech recognition (SA-ASR).
DOI: 10.57702/1bleapr4
title: The AMI meeting corpus: A pre-announcement

description: The AMI meeting corpus: A pre-announcement
DOI: 10.57702/fwfulw2r
title: End-to-end speaker-attributed ASR with Transformer

description: End-to-end speaker-attributed ASR with Transformer
DOI: 10.57702/jrczch1p
title: CLIC training dataset

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors trained their model on the CLIC training dataset.
DOI: 10.57702/bvnk1om5
title: Comparison to Other Metagenomic Profiling Methods

description: The dataset used for the comparison to other metagenomic profiling methods is the same data and metrics used by other authors in a recent metagenomics methods evaluation paper [29].
DOI: 10.15468/dl.frudxr
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria glauca Kunth, 1816",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 12 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055367-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqw4jz
title: Occurrence Download

description: A dataset containing 5248076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Falconiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 30,30 30,30 60,0 60,0 30))"
 ]
}

 The dataset includes 5248076 records from 4745 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062358-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6aaaqp
title: Occurrence Download

description: A dataset containing 6296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodopis vesper (R.Lesson, 1829)"
 ]
}

 The dataset includes 6296 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046210-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzfbmc
title: Occurrence Download

description: A dataset containing 964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "TaxonKey is Haemagogus leucocelaenus (Dyar & Shannon, 1924)",
 "Year 1922-2020"
 ]
}

 The dataset includes 964 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105592-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112036492
title: Cuneiform Tablet 1913.14.1684, Spurlock 1913.14.1684

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1684; CDLI P421535 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Moderate Yellowish Pink (5YR 7.5/4) Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 3.6 x 2.7 x 1.7 cm (16 g)
DOI: 10.15468/dl.zbfdjk
title: Occurrence Download

description: A dataset containing 12572 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is herbarium_database"
 ]
}

 The dataset includes 12572 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266064-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112036495
title: Cuneiform Tablet 1913.14.1684, Spurlock 1913.14.1684

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1684; CDLI P421535 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Moderate Yellowish Pink (5YR 7.5/4) Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 3.6 x 2.7 x 1.7 cm (16 g)
DOI: 10.15468/dl.q3z4fh
title: Occurrence Download

description: A dataset containing 11427216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "Year 1994-1994"
 ]
}

 The dataset includes 11427216 records from 4665 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0227220-220831081235567/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.31017706.v2
title: ForumSeeker: Fusion Retrieval of Online Technical Forums for Effective Troubleshooting

description: <pre>ForumSeeker retrieves relevant forum posts (e.g., from Stack Overflow) for troubleshooting by using a structure-preserving chunking method and relevance scoring based on heterogeneous technical artifacts and an ensemble of domain-tuned language models. <br><br><br></pre>
DOI: 10.15156/bio/sh0152997.10fu
title: SH0152997.10FU

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/sh0152998.10fu
title: SH0152998.10FU

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/sh0152999.10fu
title: SH0152999.10FU

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.yx3g2p
title: Occurrence Download

description: A dataset containing 3022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Ictinaetus malayensis"
 ]
}

 The dataset includes 3022 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081221-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0153000.10fu
title: SH0153000.10FU

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: 10.5522/04/27276294
title: Database for The Power of Networks and the Networks of Power PhD Thesis, Melita Thomas

description: This dataset of correspondence, gift exchange, and appointment to office was created in 2020-2024 to form the basis of a social network analysis of the life and reign of Mary I of England. It consists of 32 data tables recording individuals, letters, gifts, offices, family relationships etc. together with tables showing the data sources. <br>
DOI: 10.5522/04/27276294.v1
title: Database for The Power of Networks and the Networks of Power PhD Thesis, Melita Thomas

description: This dataset of correspondence, gift exchange, and appointment to office was created in 2020-2024 to form the basis of a social network analysis of the life and reign of Mary I of England. It consists of 32 data tables recording individuals, letters, gifts, offices, family relationships etc. together with tables showing the data sources. <br>
DOI: 10.15156/bio/sh0153001.10fu
title: SH0153001.10FU

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/sh0153002.10fu
title: SH0153002.10FU

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/sh0153003.10fu
title: SH0153003.10FU

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.