cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-771376723
title: Macromolecular Crystallography in Bordeaux/Lyon/Toulouse IECB IBGC CBMN / IBCP-MMSB ICBMS / IPBS

description: The different research teams who are part of this BAG are located in Bordeaux, Lyon and Toulouse. They are mainly working on worldwide health concerns or biotechnological relevant projects. In more details, infectiology, molecular assemblies, biosynthetic pathways or glycobiology are their main research axises. Important results have been obtained so far regarding the development of new therapeutic strategies against several infectious diseases or regarding plastic bioremediation. In order to go further into details of all these studies, access to ESRF facilities is a requirement.
DOI: 10.15151/esrf-es-816533918
title: Transformation-induced plasticity in zirconia-based ceramics: micro-Laue diffraction from compressed micropillars

description: Ce-stabilized zirconia (CSTZ) presents very interesting opportunities as a ductile ceramic that does not suffer from low-temperature degradation. It is known that this ductility arises because of martensitic transformation-induced plasticity (TRIP) but the microscopic mechanisms at the origin of the onset of the transformation and the influence of different factors such as stress magnitude, crystal orientation are still unknown. In this experiment we want to spatially-resolve strain, crystal orientation and phase, and dislocation nature using micro-Laue diffraction on CSTZ micropillars which have been compressed at different levels of plastic strain. The results of such an experiment will be very valuable for the understanding of TRIP in CSTZ.
DOI: 10.15151/esrf-es-873459700
title: Inhouse research

description: The vesicle-to-nanotube transformation with comparable vesicle and nanotube diameters in phospholipid and surfactant solutions will be probed by USAXS and WAXS. Pressure effect on concentrated colloidal solutions will be explored by XPCS.
DOI: 10.5519/qd.zg8ojon9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7166 records)
DOI: 10.34740/kaggle/dsv/2243629
title: Wood Anomaly Detection One Class Classification
DOI: 10.34740/kaggle/ds/1917990
title: SEQENS
DOI: 10.34740/kaggle/dsv/2661145
title: Pose Estimation
DOI: 10.20351/29he20220426
title: PYROWIND Cruise, RV Hespérides

description: Oceanographic data acquired during the PYROWIND Cruise (29HE20220426) on board the Research Vessel Hespérides in 2022.
DOI: 10.20351/29sg20220104
title: ELGEOPOWER Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the ELGEOPOWER Cruise (29SG20220104)  on board the Research Vessel Sarmiento de Gamboa in 2022.
DOI: 10.6084/m9.figshare.17194973
title: Effect of Aloe vera Extract in Post-Burn Skin Repair in Rats

description: all data ,figures and ethic clearence
DOI: 10.6084/m9.figshare.17194973.v8
title: Effect of Aloe vera Extract in Post-Burn Skin Repair in Rats

description: all data ,figures and ethic clearence
DOI: 10.6084/m9.figshare.17194973.v7
title: Effect of Aloe vera Extract in Post-Burn Skin Repair in Rats

description: all data ,figures and ethic clearence
DOI: 10.20351/29gd20220228
title: CCC-1 Cruise, RV García del Cid

description: Oceanographic data acquired during the CCC-1 Cruise (29GD20220228) on board the Research Vessel García del Cid in 2022.
DOI: 10.20351/29sg20220201
title: SAGA34S Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the SAGA34S Cruise (29SG20220201) on board the Research Vessel Sarmiento de Gamboa in 2022.
DOI: 10.20351/29he20220526
title: ZEE-2022 Cruise, RV Hespérides

description: Oceanographic data acquired during the ZEE-2022 Cruise (29HE20220526) on board the Research Vessel Hespérides in 2022.
DOI: 10.20351/29sg20201216
title: ANTOM-1 Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the ANTOM-1 Cruise (29SG20201216) on board the Research Vessel Sarmiento de Gamboa in 2021.
DOI: 10.20351/29he20220118
title: ANTOM-2 Cruise, RV Hespérides

description: Oceanographic data acquired during the ANTOM-2 Cruise (29HE20220118) on board the Research Vessel Hespérides in 2022.
DOI: 10.6084/m9.figshare.20207774
title: June 2022 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>June, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.20207774.v1
title: June 2022 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>June, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.34740/kaggle/dsv/3887498
title: WallStreetBets 2022
DOI: 10.48372/d25219d3-fe11-4052-879a-eb2e15ca295c
title: Individual and population-scale carbon and nitrogen isotopic signatures of Procambarus clarkii in invaded freshwater ecosystems

description: Two geo-referenced datasets with carbon and nitrogen isotopic values of Procambarus clarkii in invaded inland waters resolved respectively at population- and individual-scale. The population-scale dataset consists of 160 δ13C and δ15N isotopic values of P. clarkii and its potential prey, including living and non-living primary producers and benthic invertebrates. The individual-scale dataset consists of 1,168 isotopic individual records of P. clarkii. The isotopic information included within the two datasets was gathered from 10 countries located in Europe, Asia, Africa, and North America, and from a total of 41 studies published between 2005 and 2021.
DOI: 10.6084/m9.figshare.20208056
title: Materials and methods paylaşım.doc

description: results of cytotoxic effect of some coumarin derivatives
DOI: 10.6084/m9.figshare.20208056.v1
title: Materials and methods paylaşım.doc

description: results of cytotoxic effect of some coumarin derivatives
DOI: 10.25919/gkxp-j103
title: Parkes observations for project P1050 semester 2022APRS_19

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 90 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 107 previously unknown pulsars. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This timing project is necessary for the timing of millisecond pulsars discovered in the current and last semester and for following up our confirmed pulsars from the HTRU Galactic plane survey. The follow-up timing in APRS22 will produce completely new and exciting results. In addition, this timing project will allow us to measure the true Galactic plane pulsar population and the boundaries of pulsar parameter space in the galactic plane.
DOI: 10.6084/m9.figshare.20208182
title: June 2022 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>June, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.20208182.v1
title: June 2022 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>June, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.20351/29sg20210503
title: EXPORTS Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the EXPORTS Cruise (29SG20210503) on board the Research Vessel Sarmiento de Gamboa in 2021.
DOI: 10.20351/29sg20210308
title: SAGA10W Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the SAGA10W Cruise (29SG20210308) on board the Research Vessel Sarmiento de Gamboa in 2021.
DOI: 10.20351/29gd20210909
title: BIOMAP Cruise, RV García del Cid

description: Oceanographic data acquired during the BIOMAP Cruise (29GD20210909) on board the Research Vessel García del Cid in 2021.
DOI: 10.6084/m9.figshare.20208271
title: Additional file 1 of How is the ecosystem services concept used as a tool to foster collaborative ecosystem governance? A systematic map protocol

description: Additional file 1. ROSES protocol checklist.
DOI: 10.6084/m9.figshare.20208271.v1
title: Additional file 1 of How is the ecosystem services concept used as a tool to foster collaborative ecosystem governance? A systematic map protocol

description: Additional file 1. ROSES protocol checklist.
DOI: 10.6084/m9.figshare.20208274
title: Additional file 2 of How is the ecosystem services concept used as a tool to foster collaborative ecosystem governance? A systematic map protocol

description: Additional file 2. This spreadsheet contains the evolution of the search string. All search string changes for Scopus, Web of Science, and Grey literature are viewable here.
DOI: 10.6084/m9.figshare.20208274.v1
title: Additional file 2 of How is the ecosystem services concept used as a tool to foster collaborative ecosystem governance? A systematic map protocol

description: Additional file 2. This spreadsheet contains the evolution of the search string. All search string changes for Scopus, Web of Science, and Grey literature are viewable here.
DOI: 10.6084/m9.figshare.20208280
title: Additional file 4 of How is the ecosystem services concept used as a tool to foster collaborative ecosystem governance? A systematic map protocol

description: Additional file 4. This spreadsheet contains the skeleton framework used to screen, exclude, and appraise reporting quality of studies.
DOI: 10.6084/m9.figshare.20208280.v1
title: Additional file 4 of How is the ecosystem services concept used as a tool to foster collaborative ecosystem governance? A systematic map protocol

description: Additional file 4. This spreadsheet contains the skeleton framework used to screen, exclude, and appraise reporting quality of studies.
DOI: 10.6084/m9.figshare.20208289
title: Additional file 7 of How is the ecosystem services concept used as a tool to foster collaborative ecosystem governance? A systematic map protocol

description: Additional file 7. Metadata coding framework.
DOI: 10.6084/m9.figshare.20208289.v1
title: Additional file 7 of How is the ecosystem services concept used as a tool to foster collaborative ecosystem governance? A systematic map protocol

description: Additional file 7. Metadata coding framework.
DOI: 10.6084/m9.figshare.20208278
title: Additional file 3 of Risk factors for campylobacteriosis in Australia: outcomes of a 2018–2019 case–control study

description: Additional file 3: Univariable results for campylobacteriosis, adjusted for age group, sex, location and season.
DOI: 10.6084/m9.figshare.20208278.v1
title: Additional file 3 of Risk factors for campylobacteriosis in Australia: outcomes of a 2018–2019 case–control study

description: Additional file 3: Univariable results for campylobacteriosis, adjusted for age group, sex, location and season.
DOI: 10.6084/m9.figshare.20208287.v1
title: Additional file 4 of Risk factors for campylobacteriosis in Australia: outcomes of a 2018–2019 case–control study

description: Additional file 4: Univariable results for Campylobacter jejuni, adjusted for age group, sex, location and season.
DOI: 10.6084/m9.figshare.20208287
title: Additional file 4 of Risk factors for campylobacteriosis in Australia: outcomes of a 2018–2019 case–control study

description: Additional file 4: Univariable results for Campylobacter jejuni, adjusted for age group, sex, location and season.
DOI: 10.6084/m9.figshare.20208290.v1
title: Additional file 5 of Risk factors for campylobacteriosis in Australia: outcomes of a 2018–2019 case–control study

description: Additional file 5: Univariable results for Campylobacter coli, adjusted for age group, sex, location and season.
DOI: 10.6084/m9.figshare.20208290
title: Additional file 5 of Risk factors for campylobacteriosis in Australia: outcomes of a 2018–2019 case–control study

description: Additional file 5: Univariable results for Campylobacter coli, adjusted for age group, sex, location and season.
DOI: 10.6084/m9.figshare.20208311
title: Additional file 1 of Brain microvascular endothelial cell dysfunction in an isogenic juvenile iPSC model of Huntington’s disease

description: Additional file 1. Summary of RNA sequencing data.
DOI: 10.6084/m9.figshare.20208311.v1
title: Additional file 1 of Brain microvascular endothelial cell dysfunction in an isogenic juvenile iPSC model of Huntington’s disease

description: Additional file 1. Summary of RNA sequencing data.
DOI: 10.20351/29sg20210723
title: iMIRABILIS-2_LEG0 Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the iMIRABILIS-2_LEG0 Cruise (29SG20210723) on board the Research Vessel Sarmiento de Gamboa in 2021.
DOI: 10.6084/m9.figshare.20208353
title: Additional file 2 of Single transcription factor efficiently leads human induced pluripotent stem cells to functional microglia

description: Additional file 2: Supplementary Table S1.
DOI: 10.6084/m9.figshare.20208365
title: Additional file 4 of Single transcription factor efficiently leads human induced pluripotent stem cells to functional microglia

description: Additional file 4: Supplementary Table S3.
DOI: 10.6084/m9.figshare.20208353.v1
title: Additional file 2 of Single transcription factor efficiently leads human induced pluripotent stem cells to functional microglia

description: Additional file 2: Supplementary Table S1.
DOI: 10.6084/m9.figshare.20208359.v1
title: Additional file 3 of Single transcription factor efficiently leads human induced pluripotent stem cells to functional microglia

description: Additional file 3: Supplementary Table S2.
DOI: 10.6084/m9.figshare.20208365.v1
title: Additional file 4 of Single transcription factor efficiently leads human induced pluripotent stem cells to functional microglia

description: Additional file 4: Supplementary Table S3.
DOI: 10.20351/29he20210428
title: TRANSMOW Cruise, RV Hespérides

description: Oceanographic data acquired during the TRANSMOW Cruise (29HE20210428) on board the Research Vessel Hespérides in 2021.
DOI: 10.6084/m9.figshare.20208359
title: Additional file 3 of Single transcription factor efficiently leads human induced pluripotent stem cells to functional microglia

description: Additional file 3: Supplementary Table S2.
DOI: 10.6084/m9.figshare.20208368
title: Additional file 5 of Single transcription factor efficiently leads human induced pluripotent stem cells to functional microglia

description: Additional file 5: Supplementary Table S4.
DOI: 10.6084/m9.figshare.20208368.v1
title: Additional file 5 of Single transcription factor efficiently leads human induced pluripotent stem cells to functional microglia

description: Additional file 5: Supplementary Table S4.
DOI: 10.20351/29sg20210731
title: iMIRABILIS-2_LEG1 Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the iMIRABILIS-2_LEG1 Cruise (29SG20210731) on board the Research Vessel  Sarmiento de Gamboa in 2021.
DOI: 10.6084/m9.figshare.20208394
title: Additional file 2 of Enhanced procedures for mosquito identification by MALDI-TOF MS

description: Additional file 2. Raw MS spectra from heads, legs and thoraxes of mosquitoes included in the MS reference database. MS spectra were obtained using a Microflex LT MALDI-TOF Mass Spectrometer (Bruker Daltonics). Details of each sample were listed of the excel file named “REF_MS_Spectra_Mosq_Body-parts_Januray-2022”.
DOI: 10.6084/m9.figshare.20208394.v1
title: Additional file 2 of Enhanced procedures for mosquito identification by MALDI-TOF MS

description: Additional file 2. Raw MS spectra from heads, legs and thoraxes of mosquitoes included in the MS reference database. MS spectra were obtained using a Microflex LT MALDI-TOF Mass Spectrometer (Bruker Daltonics). Details of each sample were listed of the excel file named “REF_MS_Spectra_Mosq_Body-parts_Januray-2022”.
DOI: 10.20351/29sg20210629
title: BOCATS-2_LEG2 Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the BOCATS-2_LEG2 Cruise (29SG20210629) on board the Research Vessel Sarmiento de Gamboa in 2021.
DOI: 10.6084/m9.figshare.20208454
title: Additional file 1 of Australian general practitioner perceptions to sharing clinical data for secondary use: a mixed method approach

description: Additional file 1: (ZIP 664 kb)
DOI: 10.6084/m9.figshare.20208454.v1
title: Additional file 1 of Australian general practitioner perceptions to sharing clinical data for secondary use: a mixed method approach

description: Additional file 1: (ZIP 664 kb)
DOI: 10.20351/29gd20210601
title: MIAU-DCM Cruise, RV García del Cid

description: Oceanographic data acquired during the MIAU-DCM Cruise (29GD20210601) on board the Research Vessel García del Cid in 2021.
DOI: 10.20351/29gd20210610
title: SUMMIT Cruise, RV García del Cid

description: Oceanographic data acquired during the SUMMIT Cruise (29GD20210610) on board the Research Vessel García del Cid in 2021.
DOI: 10.20375/0000-000f-3262-a
title: Documentation of Research Strategy.pdf
DOI: 10.20375/0000-000f-3263-9
title: Int Talks with Russia and or Ukraine_till March 22.xlsx
DOI: 10.20351/29gd20210621
title: BACT&PLAST-1 Cruise, RV García del Cid

description: Oceanographic data acquired during the BACT&PLAST-1 Cruise (29GD20210621) on board the Research Vessel García del Cid in 2021.
DOI: 10.48320/7ef8d2d8-b949-4d0e-ae12-74b6aed15ebb
title: War on Ukraine Talks
DOI: 10.20351/29gd20210514
title: RADMED-ESMARES-0521 Cruise, RV García del Cid

description: Oceanographic data acquired during the RADMED-ESMARES-0521 Cruise (29GD20210514) on board the Research Vessel García del Cid in 2021.
DOI: 10.20351/29sg20210914
title: MARIBNO Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the  MARIBNO Cruise (29SG20210914) on board the Research Vessel Sarmiento de Gamboa in 2021.
DOI: 10.20351/29sg20211025
title: ECOSUMA Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the ECOSUMA Cruise (29SG20211025) on board the Research Vessel Sarmiento de Gamboa in 2021.
DOI: 10.6084/m9.figshare.20117855
title: RESEARCH ON FACTORS AFFECTING TOURIST INVOLVEMENT IN COFFEE TOURISM AFTER COVID-19 PANDEMIC IN THAILAND

description: In this paper, we analyze the factors affecting tourist involvement in coffee tourism after covid-19 pandemic in Thailand. The coffee tourism data is collected. Using Stop word removal, stemming, dimensionality reduction, Min-max normalization the data can be preprocessed. Feature can be extracted by using Linear Discriminant Analysis (LDA). Bat Algorithm is used for feature selection. Stochastic Neuro Fuzzy Decision Tree (SNF-DT) is used for Data analysis. Figure 2 indicates an overall methodology used. <strong>A.</strong> <strong>Dataset</strong> This study comprised 6,485,791 Thai and international visitors who visited Chiang Rai, Chiang Mai, Mae Hong Son, and Lampang provinces were included in this research. This study includes tourists from Thailand and abroad who visited coffee tourism destinations and participated in coffee-related tourism activities such as a tour of the cultivation and production area or a coffee tasting. The sample was selected using grab sampling. Based on ninety five percent confidences, the sample size was determined to be 10,000 participants with a margin of error of 0.05. The final result was 398, however it was rounded up to 400 to make data gathering. The proportion of people that responded is also shown for each province. Table 1 show that Sample Group in Each Province. <br> <br>