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1,184 results for “conversations”

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zenodo40/100

Towards alternative solutions for flaring : life cycle assessment and carbon substance flow analysis of associated gas conversion into C3 chemicals

<p>Supplementary material and used data for the publication.</p>

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

Plasma CO2 conversion

<p>Conversions and efficiencies for pure CO2 flows: a) pressure of 400 mBar and flow between 100 and 600 sccm, b) 1 bar and 2000 sccm, c) 300 sccm at 0.4 and 1 bar. d) Typical time plots of the mass spectra.&nbsp;</p>

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

A corpus of conversational Luganda

<p>These&nbsp;are the transcript and translation into English of a corpus of conversational Luganda (or Ganda), a Great Lakes Bantu language of Uganda.</p> <p>The overarching aim of the project is to contribute towards a better linguistic description of Luganda.</p> <p>The files are in the .eaf format (the&nbsp;ELAN&nbsp;Annotation Format, also known as the EUDICO Annotation Format).</p> <p>The corpus was recorded in Kampala in 2019 and 2023.</p> <p>It contains conversations between colleagues, peers, and acquaintances.&nbsp;</p> <p>The audio recordings are available in a separate project.</p> <p>The video recordings of some conversations are available on request.</p>

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

Data of findings in the article "Optomechanical ring resonator for efficient microwave-optical frequency conversion" by I.T. Chen et al.

<p>Data of findings in the article "Optomechanical ring resonator for efficient microwave-optical frequency conversion" by I.T. Chen et al.</p>

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

On the conversion of CO2 to value added products over composite PdZn and H-ZSM-5 catalysts: excess Zn over Pd, a compromise or a penalty? Supplementary information

<p>Supplementary Material: &nbsp;N2 adsorption, TEM, XAS, PXRD, test results</p>

opencc-by-3.0Jun 2020View details →
ClinicalTrials.gov40/100

Video Versus Conversational Contraceptive Counseling During Maternity Hospitalization

ClinicalTrials.gov study NCT03400449. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov40/100

Safety and Tolerability of Conversion From Oral, Injectable, or Infusion Disease Modifying Therapies to Dose-titrated Oral Siponimod (Mayzent) in Advancing RMS Patients

ClinicalTrials.gov study NCT03623243. IPD Sharing: YES. Countries: 2. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Internet-based Conversational Engagement Clinical Trial

ClinicalTrials.gov study NCT02871921. IPD Sharing: YES. Countries: 1. Publications: 9.

controlledIPD-YESFeb 2026View details →
dryad40/100

Data from: Rainforest conversion to plantations fundamentally alters energy fluxes and functions in canopy arthropod food webs

Open the record for dataset details and reuse information.

publicJun 2023View details →
dryad40/100

Data from: Social robots as conversational catalysts: Enhancing long-term human-human dyadic interaction at home

Open the record for dataset details and reuse information.

publicMar 2025View details →
dryad40/100

Data from: Ecosystem carbon exchange on conversion of Conservation Reserve Program grasslands to annual and perennial cropping systems

Open the record for dataset details and reuse information.

publicOct 2019View details →
zenodo36/100

Deliverable [D4.1] Techno-economic sustainability analysis methodology on resources for bio-based products, conversion routes and end-of-life alternative valorisation options

<p>Techno-economic sustainability analysis (TESA) is a methodology framework to evaluate the performance of a process under technical and economic perspective. A process can be divided into three main sections, the resources required for bio-based products, the conversion routes for the production and finally, the end-of-life alternative valorisation options. Consequently, TESA is carried out separately in the three sections and evaluates the likelihood of their different technology scales and applications and their economic feasibility.</p>

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

The Effects of Upper-Hybrid Waves on Energy Conversion in the Electron Diffusion Region

<p>The data from the simulations of upper-hybrid waves near the electron diffusion region.&nbsp;</p> <p>Read &#39;note.txt&#39; for the description about the data.&nbsp;</p>

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

Forest conversion to oil palm compresses food chain length in tropical streams

<b>Description: </b><p>Fish stable isotope data associated with the paper in Ecology. This includes bulk and compound specific stable isotope raw data for fish at 17 streams over 2 sampling years, across a land use gradient</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/57"><b>Composition and abundance of tropical freshwater vertebrate communities across a land use gradient</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Sime Darby Foundation (NA, NA)</li><li>Royal Geographic Society (RGS-IBG , PRA 01/16)</li><li>Royal Society (NA, NAF\R2\180791)</li><li>Singapore Ministry of Education (AcRF Tier 1 grant, R-154-000-A32-114)</li><li>Landmark Trust (Landmark Trust Futures Scheme , NA)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3974971">here</a></p><p><b>Files: </b>This consists of 1 file: Fish_SIA_data2.xlsx</p><p><b>Fish_SIA_data2.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>SIA_data</b> (described in worksheet Data)</p><p>Description: raw stable isotope fish data </p><p>Number of fields: 13</p><p>Number of data rows: 202</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling at each stream (Field type: date)</li><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>Landuse</b>: Landuse of the stream sampled (Field type: categorical)</li><li><b>Species</b>: Species sampled (Field type: taxa)</li><li><b>SIA</b>: Was bulk or compound specific SIA used (Field type: categorical)</li><li><b>d15N_GLU</b>: d15N value of glutamic acid (Field type: numeric)</li><li><b>d15N_PHE</b>: d15N value of phenylalanine (Field type: numeric)</li><li><b>d13C_ILE</b>: d13C value of Isoleucine (Field type: numeric)</li><li><b>d13C_LEU</b>: d13C value of Leucine (Field type: numeric)</li><li><b>d13C_PHE</b>: d13C value of phenylalanine (Field type: numeric)</li><li><b>d13C_VAL</b>: d13C value of Valine (Field type: numeric)</li><li><b>D15N</b>: D15N (Field type: numeric)</li><li><b>D13C</b>: D13C (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2015-03-01 to 2017-05-30</p><p><b>Latitudinal extent: </b>4.5770 to 4.9613</p><p><b>Longitudinal extent: </b>117.4441 to 117.8053</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>&ensp;-&ensp; Animalia <br>&ensp;-&ensp;&ensp;-&ensp; Chordata <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Actinopterygii <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Cypriniformes <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Cyprinidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Luciosoma</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Luciosoma pelligrinii</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rasbora</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rasbora pycnopeza</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Nematabramis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Nematabramis everetti</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hampala</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hampala sabana</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Puntius</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Puntius sealei</i> (as synonym: <i>Barbodes sealei</i>)<br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Siluriformes <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Clariidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Clarias</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Clarias anfractus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Bagridae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hemibagrus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hemibagrus baramensis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Perciformes <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Channidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Channa</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Channa striata</i> <br></div><p></p>

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

Database of the paper: "Pressure-to-depth conversion models for metamorphic rocks: derivation and applications"

<p>Dataset associated with the paper entitled &quot;Pressure-to-depth conversion models for metamorphic rocks: derivation and applications&quot; by Bauville A. and Yamato P. (Geochemistry, Geophysics, Geosystems)</p> <p>These links allow to download:</p> <p>- The database with Pp, Tp, Pr and Tr in .xlsx format</p> <p>- The database with Pp, Tp, Pr and Tr in .txt format</p> <p>- The associated references list</p> <p>Please, contact P. Yamato for additional information.</p>

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

Recognized trophoblast-like cells conversion from human embryonic stem cells by BMP4 based on convolutional neural network

<p>The use of models of stem cell differentiation to trophoblastic cells provides an effective perspective for understanding the early molecular events in the establishment and maintenance of human pregnancy. In combination with the newly developed deep learning technology, the automated identification of this process can greatly accelerate the contribution to relevant knowledge. Based on the transfer learning technique, we used a convolutional neural network to distinguish the microscopic images of Embryonic stem cells (ESCs) from differentiated trophoblasts -like cells (TBL). To tackle the problem of insufficient training data, the strategies of data augmentation were used. The results showed that the convolutional neural network could successfully recognize trophoblast cells and stem cells automatically, but could not distinguish TBL from the immortalized trophoblast cell lines in vitro (JEG-3 and HTR8-SVneo). We compare the recognition effect of the commonly used convolutional neural network, including DenseNet, VGG16, VGG19, InceptionV3, and Xception. This study extends the deep learning technique to trophoblast cell phenotype classification and paves the way for automatic bright-field microscopic image analysis of trophoblast cells in the future.</p>

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

Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State

<p>This dataset&nbsp;comprises all data shown in the plots of the main part of the submitted article &quot;Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State&quot;. Additional raw data are available from the corresponding author on reasonable request.</p>

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

Data from: Hybrid Integration of Silicon Photonic Devices on Lithium Niobate for Optomechanical Wavelength Conversion

<p>Source data for Figures.</p>

opencc-by-4.0Jan 2021View details →
zenodo36/100

Data for the article "Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy"

<p>Data for the article &quot;Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy&quot; (<a href="https://aip.scitation.org/doi/10.1063/5.0022369">Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy: Applied Physics Reviews: Vol 7, No 4 (scitation.org)</a>&nbsp;and&nbsp;<a href="https://arxiv.org/abs/2012.06900">[2012.06900] Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy (arxiv.org)</a>&nbsp;)</p>

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

EEG data for "Conversation electrified: ERP correlates of speech act recognition in underspecified utterances"

<p>Please refer to the publication in Plos One for a description of the experiment and data analysis: &nbsp; Gisladottir RS, Chwilla DJ, Levinson SC (2015) Conversation Electrified: ERP Correlates of Speech Act Recognition in Underspecified Utterances. PLoS ONE 10(3): e0120068. doi: 10.1371/journal.pone.0120068</p>

opencc-by-4.0Mar 2015View 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