cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29900790
title: Vegetation changes in Jasper National Park assessed from resampling of ecological land classification plots established in the 1970s

description: Canada’s mountain ecosystems are changing as a result of climate change and a host of natural and anthropogenic disturbances. Understanding the kinds, rates, and causes for those changes is important for informed ecosystem management. To assess changes in the vegetation of Jasper National Park (JNP), we documented changes in plant community composition by resampling 41 ecological land classification (ELC) plots first assessed in the 1970s. In 2023, we documented the presence and percent cover of vascular, hepatic, moss, and lichen species within each plot and compared those data to the 1970s data. Within each plot, we determined the change in cover for each taxon. The communities have become more species rich since the 1970s and community type diversity has increased. Despite rates of species turnover that exceed 50%, plant diversity shows no signs of decline. Multidecadal succession, perhaps influenced by climatic change and human disturbances, is altering the vegetation composition independent of wildfire and mountain pine beetle. Ecologically important species that decreased over time included <i>Pinus contorta, Rosa acicularis, Vaccinium cespitosum, V. scoparium</i>, and <i>V. vitis-idaea</i>. Important increasers included <i>Picea glauca, Pseudotsuga menziesii</i>, and <i>Hylocomium splendens</i>. Younger and drier sites changed more than did older and moister sites.
DOI: 10.6084/m9.figshare.29900790.v5
title: Vegetation changes in Jasper National Park assessed from resampling of ecological land classification plots established in the 1970s

description: Canada’s mountain ecosystems are changing as a result of climate change and a host of natural and anthropogenic disturbances. Understanding the kinds, rates, and causes for those changes is important for informed ecosystem management. To assess changes in the vegetation of Jasper National Park (JNP), we documented changes in plant community composition by resampling 41 ecological land classification (ELC) plots first assessed in the 1970s. In 2023, we documented the presence and percent cover of vascular, hepatic, moss, and lichen species within each plot and compared those data to the 1970s data. Within each plot, we determined the change in cover for each taxon. The communities have become more species rich since the 1970s and community type diversity has increased. Despite rates of species turnover that exceed 50%, plant diversity shows no signs of decline. Multidecadal succession, perhaps influenced by climatic change and human disturbances, is altering the vegetation composition independent of wildfire and mountain pine beetle. Ecologically important species that decreased over time included <i>Pinus contorta, Rosa acicularis, Vaccinium cespitosum, V. scoparium</i>, and <i>V. vitis-idaea</i>. Important increasers included <i>Picea glauca, Pseudotsuga menziesii</i>, and <i>Hylocomium splendens</i>. Younger and drier sites changed more than did older and moister sites.
DOI: 10.6084/m9.figshare.29900790.v4
title: Vegetation changes in Jasper National Park assessed from resampling of ecological land classification plots established in the 1970s

description: Canada’s mountain ecosystems are changing as a result of climate change and a host of natural and anthropogenic disturbances. Understanding the kinds, rates, and causes for those changes is important for informed ecosystem management. To assess changes in the vegetation of Jasper National Park (JNP), we documented changes in plant community composition by resampling 41 ecological land classification (ELC) plots first assessed in the 1970s. In 2023, we documented the presence and percent cover of vascular, hepatic, moss, and lichen species within each plot and compared those data to the 1970s data. Within each plot, we determined the change in cover for each taxon. The communities have become more species rich since the 1970s and community type diversity has increased. Despite rates of species turnover that exceed 50%, plant diversity shows no signs of decline. Multidecadal succession, perhaps influenced by climatic change and human disturbances, is altering the vegetation composition independent of wildfire and mountain pine beetle. Ecologically important species that decreased over time included <i>Pinus contorta, Rosa acicularis, Vaccinium cespitosum, V. scoparium</i>, and <i>V. vitis-idaea</i>. Important increasers included <i>Picea glauca, Pseudotsuga menziesii</i>, and <i>Hylocomium splendens</i>. Younger and drier sites changed more than did older and moister sites.
DOI: 10.82432/10317/21203
title: TRUST Lab [Dataset]

description: Key Characteristics: Single-Class Session Policy: The dataset is built on a design where each capture session contains exclusively benign traffic or a single attack family. This prevents temporal overlap and ensures that every bi-flow has an unambiguous label. Modern Traffic and APIs: The benign traffic simulates enterprise-grade services (HTTP/S, DNS, SSH, MySQL) and includes modern API traffic (REST, GraphQL, SOAP), which is critical for representing contemporary edge environments. Diverse Threat Coverage: It incorporates 15 distinct attack families, including volumetric attacks (DDoS/DoS), reconnaissance (Portscan), web and API exploits, brute force, DNS abuse, MITM, NIDS evasion, and persistence vectors like C2/beaconing and exfiltration. CICFlowMeter Integration: The raw traffic was processed using CICFlowMeter (version 4.0) to generate bidirectional flows (bi-flows). It provides a standardized schema of 80 statistical features per flow, allowing for lightweight detection without payload inspection. Structure and Scale: The dataset comprises approximately 4.6 million bi-flows distributed across 16 independent single-class CSV files. This modular structure allows researchers to construct custom distributions and prevents temporal leakage during model training. Realistic Imbalance: The data reflects a realistic traffic distribution where benign activity dominates, with a ratio of approximately 1.3:1 between benign and malicious flows.
description: Intrusion Detection Systems (IDS) for IoT and edge environments require datasets with unambiguous labels. Existing corpora often mix benign and malicious traffic within the same capture window, producing ambiguous flow labels that distort model evaluation. This work introduces the TRUST Lab Dataset, a flow-based traffic corpus designed under a single-class session policy: each capture contains exclusively benign traffic or a single attack family, preventing temporal overlap and ensuring label integrity at the bi-flow level. The dataset was generated in an operational testbed reproducing enterprise-grade services (HTTP/S, DNS, email, SSH, SNMP, NTP, MySQL) and modern APIs (REST, GraphQL, SOAP), combined with 15 attack families spanning DDoS/DoS, port scanning, brute force, web/API exploits, DNS abuses, MITM, NIDS evasion, tunneling/exfiltration, C2/beaconing, TLS/SSL anomalies, buffer overflow, and slowloris. Traffic was processed with CICFlowMeter into 16 single-class CSV files totaling ~4.6million bi-flows with 80 features per flow. Comprehensive statistical analyses (distributions, correlation, ANOVA, PCA) confirm discriminative signal without payload inspection. A binary meta-classifier achieves ROC-AUC 0.9676 and recall 0.95, validating TRUST Lab's utility for lightweight edge-oriented IDS evaluation.
DOI: 10.57702/6ehyey8i
title: Multispectral object detection for autonomous vehicles

description: Multispectral object detection for autonomous vehicles
DOI: 10.13145/bacdive168772.20251217.10
title: Paraburkholderia hiiakae Weber and King 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168773.20250331.9.3
title: Tanticharoenia sakaeratensis Yukphan et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168773.20251217.10
title: Tanticharoenia sakaeratensis Yukphan et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168774.20250331.9.3
title: Paracoccus suum Heo et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/7150355x
title: Twitter Conversations

description: The dataset used for training the seq2seq model
DOI: 10.13145/bacdive168774.20251217.10
title: Paracoccus suum Heo et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.j3r32m
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079301-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive168775.20250331.9.3
title: Colwellia demingiae Bowman et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168775.20251217.10
title: Colwellia demingiae Bowman et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168776.20240510.9
title: Thiomonas thermosulfata (Shooner et al. 1996) Moreira and Amils 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168776.20251217.10
title: Thiomonas thermosulfata (Shooner et al. 1996) Moreira and Amils 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/talvvuew
title: An overview of deep learning in medical imaging focusing on MRI

description: The IXI dataset is a collection of brain development images
DOI: 10.13145/bacdive168777.20250331.9.3
title: Bradyrhizobium arachidis Wang et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168777.20251217.10
title: Bradyrhizobium arachidis Wang et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/0hw3unje
title: Enhanced Low-Rank Matrix Approximation

description: This letter proposes to estimate low-rank matrices by formulating a convex optimization problem with non-convex regularization. We employ parameterized non-convex penalty functions to estimate the non-zero singular values more accurately than the nuclear norm.
DOI: 10.13145/bacdive168778.20240510.9
title: Deinococcus hohokamensis Rainey and da Costa 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168778.20251217.10
title: Deinococcus hohokamensis Rainey and da Costa 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168779.20250331.9.3
title: Muriicola marianensis Hu et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168779.20251217.10
title: Muriicola marianensis Hu et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/lse5r7rg
title: UniverSeg

description: Universal medical image segmentation (UniverSeg) method for few-shot segmentation of medical images.
DOI: 10.13145/bacdive168780.20240510.9
title: Ectothiorhodospira salini Ramana et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168780.20251217.10
title: Ectothiorhodospira salini Ramana et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/f9cinykh
title: RealworldRL-Suite

description: The realworldrl-suite contains a set of real-world challenge wrappers across 8 DeepMind Control Suite tasks.
DOI: 10.13145/bacdive168781.20250331.9.3
title: Thalassobius autumnalis Pujalte et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168781.20251217.10
title: Thalassobius autumnalis Pujalte et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168782.20250331.9.3
title: Alsobacter metallidurans Bao et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/z3zl3vvi
title: ExtraSensory

description: The dataset is used for stay region extraction from location trajectories using weak supervision.
DOI: 10.13145/bacdive168782.20251217.10
title: Alsobacter metallidurans Bao et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168783.20240510.9
title: Rosenbergiella australiborealis Lenaerts et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168783.20251217.10
title: Rosenbergiella australiborealis Lenaerts et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168784.20240510.9
title: Oceanobacillus bengalensis Yongchang et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/j1f14pwb
title: Learning Generalized Reactive Policies using Deep Neural Networks

description: A new approach to learning for planning, where knowledge acquired while solving a given set of planning problems is used to plan faster in related, but new problem instances.
DOI: 10.13145/bacdive168784.20251217.10
title: Oceanobacillus bengalensis Yongchang et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168785.20250331.9.3
title: Mesoplasma coleopterae Tully et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168785.20251217.10
title: Mesoplasma coleopterae Tully et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/0g60k4rr
title: Directional diffusion models for graph representation learning

description: Graph representation learning using directional diffusion models
DOI: 10.13145/bacdive168786.20250331.9.3
title: Psychroflexus torquis Bowman et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168786.20251217.10
title: Psychroflexus torquis Bowman et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168787.20240510.9
title: Methylarcula terricola Doronina et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168787.20251217.10
title: Methylarcula terricola Doronina et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168788.20250331.9.3
title: Thioclava atlantica Lai et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/gp2sfidn
title: OSCAR Dataset

description: The dataset used in the paper is a large corpus of real-world programs for pre-training a neural network model to learn better code representation.
DOI: 10.13145/bacdive168788.20251217.10
title: Thioclava atlantica Lai et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168789.20241212.9.2
title: Borrelia tanukii Fukunaga et al. 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168789.20251217.10
title: Borrelia tanukii Fukunaga et al. 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168790.20250331.9.3
title: Alkalispirochaeta odontotermitis (Sravanthi et al. 2015) Sravanthi et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168790.20251217.10
title: Alkalispirochaeta odontotermitis (Sravanthi et al. 2015) Sravanthi et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/mlpbr0ow
title: Crack Semantic Segmentation

description: The proposed framework for crack semantic segmentation.
DOI: 10.13145/bacdive168791.20250331.9.3
title: Asticcacaulis tiandongensis Zhou et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168791.20251217.10
title: Asticcacaulis tiandongensis Zhou et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168792.20240510.9
title: Chlamydia suis Everett et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168792.20251217.10
title: Chlamydia suis Everett et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/y833y1gf
title: CARLA dataset

description: The dataset used in the paper is a collection of images and corresponding affordances (pedestrian hazard, vehicle hazard, red trafﬁc light, and relative heading angle) for autonomous driving. The dataset is used to train a model to predict affordances from images.
DOI: 10.13145/bacdive168793.20250331.9.3
title: Acholeplasma modicum Leach 1973 (Approved Lists 1980)

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168793.20251217.10
title: Acholeplasma modicum Leach 1973 (Approved Lists 1980)

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168794.20240510.9
title: Tropicihabitans flavus Hamada et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/3rgj4r2r
title: Segmentation dataset for jet flames

description: The dataset used for training and testing the UNet and Attention UNet models for segmentation of radiation zones within the jet flames.
DOI: 10.13145/bacdive168794.20251217.10
title: Tropicihabitans flavus Hamada et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168795.20240510.9
title: Amycolatopsis rhabdoformis Souza et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive168795.20251217.10
title: Amycolatopsis rhabdoformis Souza et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/l78vpec9
title: CELEX

description: The CELEX dataset is a large lexical database containing phonological transcriptions of English words.
DOI: 10.13145/bacdive168796.20250331.9.3
title: Flavobacterium stagni Chen et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.