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20,299 results for “Systematic”

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zenodo40/100

Systematic Literature Review - Selected Articles - Data Extraction

<p>- CSV with the raw data extracted from abstract + full-text review from the selected articles.</p> <p>- CSV with normalized data.</p> <p>- CSV with the normalized data after being a feature engineering step in which some columns have been deleted.</p> <p>- CSV with formal context to extract the concepts lattice.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

A Systematic Review of Open Data in Agriculture

<p>This dataset contains a collection of papers retrieved by using a PRISMA systematic review of Open Data and Public Domain data in Agriculture. This collection of papers uses, creates, or discusses about Open Data and Public Domain.</p><p>The dataset uses the Zotero RDF format and is classified according the source and the topic of the paper</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Figure 3 in Histology of ganoid scales from the early Late Cretaceous of the Kem Kem beds , SE Morocco : systematic and evolutionary implications

Figure 3. - Scales of Adrianaichthys pankowski (MNHN-Histos 1959). A: Cross section of a scale (transmitted natural light) showing two superimposed layers: pluristratified ganoine (black arrow), and basal plate (bp) constituted of an avascular bony tissue. Dentine is lacking; B-D: Cross sections of scales (transmitted natural light); B: Detail of pluristratified ganoine (g). In the underlying bony basal plate (bp) one can see canaliculi of Williamson (cw) and a growth mark (gm); C: Detail of the bony basal plate showing numerous Sharpey's fibres and two canaliculi of Williamson (arrow) and a growth mark (gm); D: Detail of the bony basal plate showing a dichotomy on a canaliculus of Williamson (arrowhead). Scale bars: A = 1 mm; B = 100 µm; C = 50 µm; D = 20 µm).

opencc-by-4.0Apr 2016View details →
dryad40/100

Supplementary materials to: Nano-Strainer: a workflow for identification of single-copy nuclear loci for plant systematic studies, using target capture kits and Oxford Nanopore long reads

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publicJun 2023View details →
dryad40/100

Supplementary data for: McFadden et al., Revisionary systematics of Octocorallia (Cnidaria: Anthozoa) guided by phylogenomics

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publicJun 2022View details →
dryad40/100

Phylogeny, systematics and evolution of mimicry patterns in Neotropical limenitidine butterflies

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publicSep 2025View details →
dryad40/100

Data from: Phylogenomics and systematics of botryllid ascidians, and implications for the evolution of allorecognition

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publicAug 2025View details →
dryad40/100

Phylogenomics of fresh and formalin specimens resolves the systematics of old world mud snakes (Serpentes: Homalopsidae) and expands biogeographic inference

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publicJun 2024View details →
dryad40/100

Data from: Improved robustness to gene tree incompleteness, estimation errors, and systematic homology errors with weighted TREE-QMC

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publicMar 2025View details →
dryad40/100

Individual repeatability of avian migration phenology: a systematic review and meta-analysis

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publicMar 2022View details →
dryad40/100

Not so weak-PICO: Leveraging weak supervision for Participants, Interventions, and Outcomes recognition for systematic review automation

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publicDec 2022View details →
dryad40/100

Systematics of a Neotropical clade of dead-leaf-foraging antwrens (Aves: Thamnophilidae; Epinecrophylla)

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publicOct 2020View details →
dryad40/100

Global burden of non-tuberculous mycobacteria in the cystic fibrosis population: A systematic review and meta-analysis

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publicMar 2023View details →
dryad40/100

The most remarkable migrants: Systematic analysis of the Western European insect flyway at a Pyrenean mountain pass

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publicMay 2024View details →
edi40/100

Biological invasions: a field synopsis, systematic review, and database of the literature

Species introductions of anthropogenic origins are a major aspect of rapid ecological change globally. Research on biological invasions has generated literature on many different aspects of this phenomenon. This literature is enormous and has grown rapidly since the mid‐twentieth century. Therefore, we created this dataset in order to describe and categorize some aspects of this literature, to better understand what has been studied and what we know, mapping well‐studied areas and important gaps. To do so, we employed the techniques of systematic reviewing widely adopted in other scientific disciplines. We identified 2398 relevant studies in a field synopsis of the biological invasions literature. The purpose of the field synopsis was to map and categorize the scope of available information (and what is not known) from the literature addressing a fundamental understanding of biological invasions. We then examined 1537 papers in greater detail in a systematic review. The systematic review addressed the state of our knowledge about the mechanisms that permit species to invade novel environments. We carried this out by attempting to identify and characterize the literature, including what hypotheses have been tested, and what organisms and systems have been studied. A secondary goal of our work was to create a publicly accessible database of this literature for future research.

openCC (other)Jun 2020View details →
edi40/100

Systematic review of near-term ecological forecasting literature published between 1932 and 2020

This data publication includes results and code from a systematic review of near-term ecological forecasting literature. The study had two primary goals: (1) analyze the state of near-term ecological forecasting literature, and (2) compare forecast skill across ecosystems and variables. We began by conducting a Web of Science search for “forecast*” in the title, abstract, and keywords of all papers published in ecological journals, then screened all papers from this search to identify near-term ecological forecasts. We defined a near-term ecological forecast as future predictions of community, population, or biogeochemical variables ≤ 10 years from the forecast date. To more broadly survey the literature, we then searched all papers that cited or were cited by the near-term ecological forecasts we identified. We performed an in-depth review of all near-term ecological forecasting papers identified through this search process, and recorded forecast skill data for all papers that reported R or R2. Our results indicate that the rate of publication of near-term ecological forecasts is increasing over time and the field is becoming increasingly open and automated. Across published forecasts, we find that forecast skill decreases in predictable patterns and these patterns differ between forecast variables. This data publication includes three products from this analysis: (1) a database of all papers identified in the two searches, including our assessment of whether they included an ecological focal variable, included a forecast, and whether the forecast was near-term (≤10 years), (2) a matrix of all data collected on the near-term ecological forecasts we identified, and (3) a database of R2 values for papers that reported R or R2.

openCC (other)Jul 2021View details →
zenodo36/100

Data set related to the manuscript "Ionic liquids under confinement: From systematic variations of the ion and pore sizes towards an understanding of structure and dynamics in complex porous carbons"

<p>Graphical files in the agr format for all the figures in the main text of the manuscript entitled &quot;Ionic liquids under confinement:&nbsp; From systematic variations of the ion and pore sizes towards an understanding of structure and dynamics in complex porous carbons&quot; (10.1021/acsami.9b16740). Example of input file for one of the systems simulated.</p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

Supplementary data files for: Huston, D.C., Cribb, T.H. and Smales, L.R. 20XX. Molecular characterisation of acanthocephalans from Australian marine teleosts: proposal of a new family, synonymy of another and transfer of taxa between orders. Systematic Parasitology, Jan 2020.

<p>These are the supplementary data files for the manuscript &quot;<strong>Molecular characterisation of acanthocephalans from Australian marine teleosts: proposal of a new family, synonymy of another and transfer of taxa between orders.&quot; </strong>Published in the Journal Systematic Parasitology on the 7&nbsp;of January&nbsp;2020.</p> <p>Included are the Nexus and Phylip alignment files used for the phylogenetic analyses, and the resulting tree files (in nexus format).</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2020View details →
zenodo36/100

Paper Repository and References for "Early software defect prediction: A systematic map and review"

<p>Context: Software defect prediction is a trending research topic, and a wide variety of the published papers focus on coding phase or after. A limited number of papers, however, includes the prior (early) phases of the software&nbsp;development lifecycle (SDLC).<br> Objective: The goal of this study is to obtain a general view of the characteristics and usefulness of Early Software&nbsp;Defect Prediction (ESDP) models reported in scientific literature.&nbsp;<br> Method: A systematic mapping and systematic literature review study has been conducted. We searched for the&nbsp;studies reported between 2000 and 2016. We reviewed 52 studies and analyzed the trend and demographics,&nbsp;maturity of state-of-research, in-depth characteristics, success and benefits of ESDP models.&nbsp;<br> Results: We found that categorical models that rely on requirement and design phase metrics, and few continuous&nbsp;models including metrics from requirements phase are very successful. We also found that most studies&nbsp;reported qualitative benefits of using ESDP models.<br> Conclusion: We have highlighted the most preferred prediction methods, metrics, datasets and performance&nbsp;evaluation methods, as well as the addressed SDLC phases. We expect the results will be useful for software&nbsp;teams by guiding them to use early predictors effectively in practice, and for researchers in directing their future&nbsp;efforts.</p>

opencc-by-4.0Oct 2017View details →
zenodo36/100

Standardized on-road tests assessing fitness-to-drive in people with cognitive impairments: a systematic review

<p>Data repository for a systematic review concerning on-road tests. Are included the following data :</p> <ul> <li>items and scoring system</li> <li>risk of bias assessment</li> <li>summary of findings</li> <li>the complete search strategy</li> </ul>

opencc-by-4.0Feb 2020View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.