cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16892956
title: November 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in November, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: 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.16892956.v1
title: November 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in November, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: 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.16892959
title: January 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>January, 2021</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.16892959.v1
title: January 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>January, 2021</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.16892962
title: May 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>May, 2021</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.16892962.v1
title: May 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>May, 2021</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.16892965
title: April 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>April, 2021</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.16892965.v1
title: April 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>April, 2021</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.16892968
title: January 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in January, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: 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.16892971.v1
title: December 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>December, 2020</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.16892971
title: December 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>December, 2020</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.16892976
title: Additional file 1 of Comparison of the sex hormones’ serum level in women with recurrent aphthous stomatitis and healthy population: a cross-sectional study

description: Additional file 1: For future reference.
DOI: 10.6084/m9.figshare.16892976.v1
title: Additional file 1 of Comparison of the sex hormones’ serum level in women with recurrent aphthous stomatitis and healthy population: a cross-sectional study

description: Additional file 1: For future reference.
DOI: 10.5281/zenodo.5606243
title: Increased contributions from new particle formation

description: Data Availability Statement
DOI: 10.5281/zenodo.5606242
title: Increased contributions from new particle formation

description: Data Availability Statement
DOI: 10.5281/zenodo.5603325
title: GC-MS raw data_Figure 6E_Lysophosphatidic Acid Shifts Metabolic and Transcriptional Landscapes to Induce a Distinct Cellular State in Human Pluripotent Stem Cells

description: <strong>Sample name</strong> hESCs (H1 cells) were given treatments for two days and then collected for GC-MS analysis. E8: E8 medium AX: E8 + 1.6% AlbuMAX; BSA: E8 + 1% albumin; BSA+hCDL: E8 + 1% albumin + 0.1% hCDL; LPA+BSA: E8 + 1 μM LPA + 1% albumin; LPA+BSA+hCDL: E8 + 1 μM LPA + 1% albumin + 0.1% hCDL STD: standard lipids mixture used as reference <strong>Extraction and Methylation</strong> Sample preparation was conducted according to the previously reported method (Araujo et al., 2008) with the modification. Briefly, spent medium was removed, and cells were rinsed with 1 mL/well 0.9% (w/v) saline twice. Then 0.5 mL/well -80°C 80% methanol was added to quench the metabolism. Five wells of cells (from 6-well plate) were scrapped off into a glass screw-cap tube. Then 4 mL heptadecanoate containing chloroform (4 μg/mL, internal standard for fatty acids) was added into the tube. Vortex, and then centrifuge at 2000 rpm for 5 min. Cellular debris was carefully removed, and nitrogen blow the solution till dry. Add 1.5 mL hexane and 1.5 mL 14% boron trifluoride (BF<sub>3</sub>)/methanol solution. Seal the tube with nitrogen gas, heat it at 100°C for 1 h using MK200-2 dry bath incubator (Aosheng), and then cool down to room temperature. Add 1 mL water into the tube, vortex and then centrifuge at 3000 rpm for 10 min. The upper layer was transferred into a new 1.5-mL eppendorf tube and evaporated by nitrogen gas. The residue was re-dissolved in 100 μL hexane for GC-MS analysis. <strong>GC-MS method</strong> Samples were analyzed using an Agilent GC-MS system (Agilent) consisting of a 6890 gas chromatography and a 5973 mass spectrometer. Fatty acid methyl esters were separated by an Omegawax™ 250 fused silica capillary column (30 m × 0.25 mm i.d., 0.25 μm film thickness, Supelco, Bellefonte, PA). The optimized oven temperature program was: initial temperature set at 180°C and held for 3 min; ramped to 206°C at 2°C/min and held at 206°C for 25 min, then, ramped to 240°C at 10°C/min and held for 5 min. Overall, the total run time was 50 min. Carrier gas was high-purity helium at a flow rate of 1.5 mL/min. Injector temperature was set at 250°C. Injection volume was 2 μL with a split ratio of 1:15. The mass spectrometer was operated in electron-impact (EI) mode at 70 eV ionization energy. The temperatures of quadrupole and ionization source were set at 150°C and 280°C, respectively. The spectra from 3 to 50 min were acquired with the <em>m/z</em> range of 35–550 at a scan rate of 0.34 s per scan.
description: {"references": ["ARAUJO, P., NGUYEN, T.-T., FR\u00d8YLAND, L., WANG, J. & KANG, J. X. 2008. Evaluation of a rapid method for the quantitative analysis of fatty acids in various matrices. Journal of Chromatography A, 1212, 106-113."]}
DOI: 10.5281/zenodo.5603324
title: GC-MS raw data_Figure 6E_Lysophosphatidic Acid Shifts Metabolic and Transcriptional Landscapes to Induce a Distinct Cellular State in Human Pluripotent Stem Cells

description: <strong>Sample name</strong> hESCs (H1 cells) were given treatments for two days and then collected for GC-MS analysis. E8: E8 medium AX: E8 + 1.6% AlbuMAX; BSA: E8 + 1% albumin; BSA+hCDL: E8 + 1% albumin + 0.1% hCDL; LPA+BSA: E8 + 1 μM LPA + 1% albumin; LPA+BSA+hCDL: E8 + 1 μM LPA + 1% albumin + 0.1% hCDL STD: standard lipids mixture used as reference <strong>Extraction and Methylation</strong> Sample preparation was conducted according to the previously reported method (Araujo et al., 2008) with the modification. Briefly, spent medium was removed, and cells were rinsed with 1 mL/well 0.9% (w/v) saline twice. Then 0.5 mL/well -80°C 80% methanol was added to quench the metabolism. Five wells of cells (from 6-well plate) were scrapped off into a glass screw-cap tube. Then 4 mL heptadecanoate containing chloroform (4 μg/mL, internal standard for fatty acids) was added into the tube. Vortex, and then centrifuge at 2000 rpm for 5 min. Cellular debris was carefully removed, and nitrogen blow the solution till dry. Add 1.5 mL hexane and 1.5 mL 14% boron trifluoride (BF<sub>3</sub>)/methanol solution. Seal the tube with nitrogen gas, heat it at 100°C for 1 h using MK200-2 dry bath incubator (Aosheng), and then cool down to room temperature. Add 1 mL water into the tube, vortex and then centrifuge at 3000 rpm for 10 min. The upper layer was transferred into a new 1.5-mL eppendorf tube and evaporated by nitrogen gas. The residue was re-dissolved in 100 μL hexane for GC-MS analysis. <strong>GC-MS method</strong> Samples were analyzed using an Agilent GC-MS system (Agilent) consisting of a 6890 gas chromatography and a 5973 mass spectrometer. Fatty acid methyl esters were separated by an Omegawax™ 250 fused silica capillary column (30 m × 0.25 mm i.d., 0.25 μm film thickness, Supelco, Bellefonte, PA). The optimized oven temperature program was: initial temperature set at 180°C and held for 3 min; ramped to 206°C at 2°C/min and held at 206°C for 25 min, then, ramped to 240°C at 10°C/min and held for 5 min. Overall, the total run time was 50 min. Carrier gas was high-purity helium at a flow rate of 1.5 mL/min. Injector temperature was set at 250°C. Injection volume was 2 μL with a split ratio of 1:15. The mass spectrometer was operated in electron-impact (EI) mode at 70 eV ionization energy. The temperatures of quadrupole and ionization source were set at 150°C and 280°C, respectively. The spectra from 3 to 50 min were acquired with the <em>m/z</em> range of 35–550 at a scan rate of 0.34 s per scan.
description: {"references": ["ARAUJO, P., NGUYEN, T.-T., FR\u00d8YLAND, L., WANG, J. & KANG, J. X. 2008. Evaluation of a rapid method for the quantitative analysis of fatty acids in various matrices. Journal of Chromatography A, 1212, 106-113."]}
DOI: 10.6084/m9.figshare.16893045
title: Additional file 2 of A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

description: Additional file 2: Table S1. List of Quebec sequence identifiers.
DOI: 10.6084/m9.figshare.16893045.v1
title: Additional file 2 of A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

description: Additional file 2: Table S1. List of Quebec sequence identifiers.
DOI: 10.6084/m9.figshare.16893048
title: Additional file 3 of A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

description: Additional file 3: Table S2. List of GISAID sequences and author acknowledgements.
DOI: 10.6084/m9.figshare.16893048.v1
title: Additional file 3 of A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

description: Additional file 3: Table S2. List of GISAID sequences and author acknowledgements.
DOI: 10.6084/m9.figshare.16893051
title: Additional file 4 of A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

description: Additional file 4: Table S3. Inferred introduction events using three ASR methods without travel history.
DOI: 10.6084/m9.figshare.16893051.v1
title: Additional file 4 of A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

description: Additional file 4: Table S3. Inferred introduction events using three ASR methods without travel history.
DOI: 10.6084/m9.figshare.13642132.v1
title: Additional file 4 of A real-time quantitative polymerase chain reaction for the specific detection of Hammondia hammondi and its differentiation from Toxoplasma gondii

description: Additional file 4: Table S4. Summary of the testing of forward and reverse primers and appropriate probes to establish a H. hammondi real-time PCR. Two SybrGreen assays per primer pair revealed mean ΔCt values including SD and coefficient of variation (CV) for a borderline H. hammondi-positive DNA control and water as a negative control (mean ΔCtpos-neg; SD ΔCtpos-neg; CV of ΔCtpos-neg). For optimal primers (ΔCtpos-neg values of &gt; 4 and a CV 1000 were further followed and assessed for the mean Ct value of the borderline H. hammondi-positive DNA control. The final primer probe combination used in Hham-qPCR1 consisted of the primers Hham275F and Hham81R and the probe Hham222P (Fig. 2; Additional file 3: Table S3).
DOI: 10.6084/m9.figshare.13642132
title: Additional file 4 of A real-time quantitative polymerase chain reaction for the specific detection of Hammondia hammondi and its differentiation from Toxoplasma gondii

description: Additional file 4: Table S4. Summary of the testing of forward and reverse primers and appropriate probes to establish a H. hammondi real-time PCR. Two SybrGreen assays per primer pair revealed mean ΔCt values including SD and coefficient of variation (CV) for a borderline H. hammondi-positive DNA control and water as a negative control (mean ΔCtpos-neg; SD ΔCtpos-neg; CV of ΔCtpos-neg). For optimal primers (ΔCtpos-neg values of &gt; 4 and a CV 1000 were further followed and assessed for the mean Ct value of the borderline H. hammondi-positive DNA control. The final primer probe combination used in Hham-qPCR1 consisted of the primers Hham275F and Hham81R and the probe Hham222P (Fig. 2; Additional file 3: Table S3).
DOI: 10.6084/m9.figshare.13642135
title: Additional file 5 of A real-time quantitative polymerase chain reaction for the specific detection of Hammondia hammondi and its differentiation from Toxoplasma gondii

description: Additional file 5: Table S5. Hham-qPCR1 results on tissues of 28 GKO mice infected with H. hammondi for varying time periods (days post-infection; DPI). For infection, different H. hammondi strains and doses were used.
DOI: 10.6084/m9.figshare.13642135.v1
title: Additional file 5 of A real-time quantitative polymerase chain reaction for the specific detection of Hammondia hammondi and its differentiation from Toxoplasma gondii

description: Additional file 5: Table S5. Hham-qPCR1 results on tissues of 28 GKO mice infected with H. hammondi for varying time periods (days post-infection; DPI). For infection, different H. hammondi strains and doses were used.
DOI: 10.6084/m9.figshare.14561310
title: Additional file 2 of Calibration of the SPEARpesticides bioindicator for cost-effective pesticide monitoring in East African streams

description: Additional file 2. Tables with raw data.
DOI: 10.6084/m9.figshare.14561310.v1
title: Additional file 2 of Calibration of the SPEARpesticides bioindicator for cost-effective pesticide monitoring in East African streams

description: Additional file 2. Tables with raw data.
DOI: 10.6084/m9.figshare.16893132.v1
title: Additional file 1 of Domestic use of pesticides during early periods of development and risk of testicular germ cell tumors in adulthood: a French nationwide case-control study

description: Additional file 1. Supplemental Excel File (Tables S1 to S11 and Figure S1).
DOI: 10.6084/m9.figshare.16893132
title: Additional file 1 of Domestic use of pesticides during early periods of development and risk of testicular germ cell tumors in adulthood: a French nationwide case-control study

description: Additional file 1. Supplemental Excel File (Tables S1 to S11 and Figure S1).
DOI: 10.6084/m9.figshare.14728532
title: Additional file 2 of Atg7 deficiency in microglia drives an altered transcriptomic profile associated with an impaired neuroinflammatory response

description: Additional file 2. DEG lists and KEGG pathways comparing shCtrl BV2 cells with shAtg7 BV2 cells.
DOI: 10.6084/m9.figshare.14728532.v1
title: Additional file 2 of Atg7 deficiency in microglia drives an altered transcriptomic profile associated with an impaired neuroinflammatory response

description: Additional file 2. DEG lists and KEGG pathways comparing shCtrl BV2 cells with shAtg7 BV2 cells.
DOI: 10.6084/m9.figshare.14728535
title: Additional file 3 of Atg7 deficiency in microglia drives an altered transcriptomic profile associated with an impaired neuroinflammatory response

description: Additional file 3. DEG lists and KEGG pathways comparing LPS-treated shAtg7 BV2 with untreated shAtg7 BV2 cellsdat.
DOI: 10.6084/m9.figshare.14728538
title: Additional file 4 of Atg7 deficiency in microglia drives an altered transcriptomic profile associated with an impaired neuroinflammatory response

description: Additional file 4. Venn diagram gene lists and Metascape GO term clusters.
DOI: 10.6084/m9.figshare.14728538.v1
title: Additional file 4 of Atg7 deficiency in microglia drives an altered transcriptomic profile associated with an impaired neuroinflammatory response

description: Additional file 4. Venn diagram gene lists and Metascape GO term clusters.