cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12860964
title: Genetic variation in the photosynthetic induction response in rice (<i>Oryza sativa</i> L.)

description: Crop leaves growing under field conditions experience fluctuating light intensities. The photosynthetic response to a sudden increase in light intensity, which is termed the photosynthetic induction response, can potentially affect crop productivity. In the present study, the genetic variation in the photosynthetic induction response and the related gas exchange parameters in the rice diversity research set of germplasm (RDRS) were evaluated using two reference genotypes: Koshihikari and Takanari. Takanari is known to show superior induction response than Koshihikari. The photosynthetic induction response was found to be highly diverse in 59 rice genotypes. The cumulative CO<sub>2</sub> fixation during the first 10 minutes after a transition from low to high light intensity (CCF<sub>10</sub>) differed by a factor of four between genotypes. The variation of CCF<sub>10</sub> showed no relationship with light saturated photosynthetic rate (R = 0.21), but was significantly correlated with photosynthetic rate (A) under low light conditions (R = 0.88). Several genotypes showed even more rapid induction responses than that of Takanari. In particular, A of ARC 11094 and Rexmont both increased rapidly during the first two minutes of the induction response. The CCF<sub>10</sub> of these two genotypes was approximately four times greater than that of Koshihikari. The rapid induction responses of Rexmont and ARC 11094 most likely resulted from the activation of CO<sub>2</sub> fixation in mesophyll cells and CO<sub>2</sub> diffusion from the air to the leaves, respectively. This study demonstrates that there is a large genetic variation in and, therefore, much potential for genetic improvement of, the photosynthetic induction response in rice.
DOI: 10.6084/m9.figshare.13083458
title: Macrogenic_ Raw samples file.rar

description: A prospective cross-sectional laboratory-based study of random of 100 non-lactose ferments Gram-negative bacilli secludes from blood and urine. Non-lactose fermenting Gram-negative (NLFGNB) bacilli have developed as significant nosocomial pathogens and often exhibit intrinsic multi-drug resistance. 16s rRNA gene sequencing could be utilized for robust identification. This study aimed to identify resistant NLFGNB associated with hospital-acquired infections using 16s rRNA sequencing and to detect the ESBL genes of isolates in Soba hospital, Khartoum State, Sudan
DOI: 10.6084/m9.figshare.13083458.v1
title: Macrogenic_ Raw samples file.rar

description: A prospective cross-sectional laboratory-based study of random of 100 non-lactose ferments Gram-negative bacilli secludes from blood and urine. Non-lactose fermenting Gram-negative (NLFGNB) bacilli have developed as significant nosocomial pathogens and often exhibit intrinsic multi-drug resistance. 16s rRNA gene sequencing could be utilized for robust identification. This study aimed to identify resistant NLFGNB associated with hospital-acquired infections using 16s rRNA sequencing and to detect the ESBL genes of isolates in Soba hospital, Khartoum State, Sudan
DOI: 10.6084/m9.figshare.13083464.v1
title: Data of A model of the sand transport rate that accounts for the effect of averaging time

description: All the data of the paper:A model of the sand transport rate that accounts for the effect of averaging time
DOI: 10.6084/m9.figshare.13082816
title: Additional file 2 of Analysis of the virus propagation profile of 14 dengue virus isolates in Aedes albopictus C6/36 cells

description: Additional file 2: Sheet 1 Raw data of plaque assay for Fig. 1. Sheet 2 Raw data of plaque assay for Fig. 2. Sheet 3 Statistical analysis of Fig. 1 data. Sheet 4 Statistical analysis of Fig. 2 data.
DOI: 10.6084/m9.figshare.13082495
title: CerebellarTMSEEGData.zip

description: Cortical EEG response of ten healthy adults to concurrent cerebellar non-invasive stimulation (single-pulse TMS) using double-cone (DC) and figure-of-eight (F8) Magstim coils. An occipital/parietal control site and electrical control condition is also included. Raw data is contained in folder 'Raw', and cleaned data is contained in folder 'Cleaned'. Please see Readme documents in respective folders for more information on methods of collection, cleaning pipelines and references. <br>
DOI: 10.26182/y00m-nb33
title: Banana pangenome supplementary data
DOI: 10.6084/m9.figshare.13083392.v1
title: JVASP-6349 to JVASP-6394 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083392
title: JVASP-6349 to JVASP-6394 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083398
title: JVASP-646 to JVASP-6526 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083398.v1
title: JVASP-646 to JVASP-6526 (Negative bias)

description: JARVIS-DFT
DOI: 10.21227/j7xm-th30
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.-------------------------------------Recently added: Coronavirus (COVID-19) Tweets Sentiment Trend (Global)-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 241,015 tweets— Coverage : Global— Language : English (EN)— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Usage policy : As per Twitter's Developer Policy— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time of each CSV file present in this dataset.
DOI: 10.6084/m9.figshare.13083401
title: JVASP-652 to JVASP-6652 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083401.v1
title: JVASP-652 to JVASP-6652 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083404
title: JVASP-666 to JVASP-6769 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083404.v1
title: JVASP-666 to JVASP-6769 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083407.v1
title: JVASP-680 to JVASP-6880 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083407
title: JVASP-680 to JVASP-6880 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083410.v1
title: JVASP-688 to JVASP-7027 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083410
title: JVASP-688 to JVASP-7027 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083518
title: Supplementary Material for: Liver Regeneration and Recanalization Time Course following Repeated Reversible Portal Vein Embolization in Swine

description: <b><i>Introduction:</i></b> Portal vein embolization (PVE) is an accepted technique to preoperatively increase the volume of the future remnant liver before major hepatectomy. A permanent material is usually preferred since its superiority to induce liver hypertrophy over absorbable material has been demonstrated. Nevertheless, the use of an absorbable material generates a reversible PVE (RPVE) capable of inducing significant liver hypertrophy. In small animal models, the possibility to proceed to a repeated RPVE (RRPVE) has shown to boost liver hypertrophy further. The aim of this preliminary study was to assess the feasibility and the tolerance of RRPVE in a large animal model, in comparison with permanent PVE (PPVE) and single RPVE. <b><i>Methods:</i></b> Six swine (2 per group) were assigned either to single RPVE group (using powdered gelatin sponge), RRPVE group (2 RPVEs separated by 14 days) or PPVE group (using N-butyl-cyanoacrylate). The feasibility and tolerance of the procedures were evaluated using portography, liver function tests and histological analysis. Evolution of liver volumes was assessed with volumetric imaging by computed tomography. <b><i>Results:</i></b> Embolization of portal branches corresponding to 75% of total liver volume was performed successfully in all animals. Procedures were well tolerated, inducing moderate changes in portal pressure and transient aminotransferase increase. None of the animals developed portal vein thrombosis. After RPVE, complete recanalization occurred at day 11. RRPVE showed a trend for higher hypertrophy, the non-embolized liver to total liver ratio reaching 5.2 ± 1.0% in the RPVE group, 6.8 ± 0.1% in the RRPVE group and 5.0 ± 0.3% in the PPVE group. <b><i>Discussion/Conclusion:</i></b> In this preliminary comparative study, RRPVE was as feasible and as well tolerated as the other procedures, and resulted in higher liver hypertrophy.
DOI: 10.5281/zenodo.4083740
title: Abrupt Indian summer monsoon shifts aligned with Heinrich events and D-O cycles since MIS 3

description: We present a new high-resolution speleothem-based record of Indian summer monsoon (ISM) variability ranging from ~ 45,000 to 34,000 yr BP combined with a published record up to 5,500 yr BP from Mawmluh cave, NE (North East) India
DOI: 10.5281/zenodo.4083739
title: Abrupt Indian summer monsoon shifts aligned with Heinrich events and D-O cycles since MIS 3

description: We present a new high-resolution speleothem-based record of Indian summer monsoon (ISM) variability ranging from ~ 45,000 to 34,000 yr BP combined with a published record up to 5,500 yr BP from Mawmluh cave, NE (North East) India
DOI: 10.6084/m9.figshare.13083491
title: JVASP-777 to JVASP-8981 (Negative bias)

description: JARVIS-DFT
DOI: 10.21227/99xw-zb25
title: DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset

description: This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems", accepted by IEEE Transactions on Wireless Communications. It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive sniffing-based data collection testbed with a commercial AP, a Samsung mobile phone and two USRPs.
DOI: 10.6084/m9.figshare.13083548
title: JVASP-8984 to JVASP-9068 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083548.v1
title: JVASP-8984 to JVASP-9068 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083464
title: Data of A model of the sand transport rate that accounts for the effect of averaging time

description: All the data of the paper:A model of the sand transport rate that accounts for the effect of averaging time
DOI: 10.6084/m9.figshare.13083560
title: Supplementary Material for: Serum Exosomal Dicer Is a Useful Biomarker for Early Detection of Differentiated Gastric Adenocarcinoma

description: <b><i>Background and Aim:</i></b> A recent basic study identified that Dicer is contained in exosomes derived from cancer cells and plays crucial roles in microRNA maturation and cancer development. Based on this novel basic concept, we analyzed the usefulness of serum exosomal Dicer as a diagnostic biomarker for gastrointestinal cancers. <b><i>Methods:</i></b> Enrolled participants (691) were categorized into 3 groups: gastric cancer (GC) cohort, 183 patients (90 healthy controls (HCs) and 93 GC patients); esophageal cancer (EC) cohort, 115 patients (90 HCs and 25 EC patients); and colorectal cancer (CRC) cohort, 188 patients (92 HCs and 96 CRC patients) after age- and sex matching using the propensity score. The quality of isolated serum exosomes was validated with an electron microscope, particle size analyzer, and exosome marker, CD63. <b><i>Results:</i></b> Serum exosomal Dicer was significantly higher in the GC group than in the HC group (<i>p</i> = 0.004), whereas no significant differences were found in both EC and CRC cohorts. Serum exosomal Dicer was significantly higher in only differentiated gastric adenocarcinoma and not in the undifferentiated type. Moreover, serum exosomal Dicer showed no significant differences regardless of <i>Helicobacter pylori</i> (<i>H. pylori</i>) status. The biomarker panel combining serum exosomal Dicer with <i>H. pylori</i> status distinguished between HC and differentiated GC patients with an area under the curve (AUC) of 0.762. As for early-stage diagnosis, this combination distinguished between HC and stage I differentiated GC with an AUC = 0.758. <b><i>Conclusions:</i></b> Serum exosomal Dicer is a potential noninvasive diagnostic biomarker for early detection of differentiated gastric adenocarcinoma.
DOI: 10.6084/m9.figshare.13083557.v1
title: JVASP-705 to JVASP-7060 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13083557
title: JVASP-705 to JVASP-7060 (Negative bias)

description: JARVIS-DFT
DOI: 10.21227/byvv-1j50
title: DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset

description: This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems", accepted by IEEE Transactions on Wireless Communications. It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive sniffing-based data collection testbed with a commercial AP, a Samsung mobile phone and two USRPs.
DOI: 10.6084/m9.figshare.5328145
title: FreasC_DataSet_ESM from Polarized light use in the nocturnal bull ant, <i>Myrmecia midas</i>.

description: Supplementary Data Set from Polarized light use in the nocturnal bull ant, Myrmecia midas. Data set comprises all refined data for all four experimental conditions. Exit orientation data was compiled by taking the compass direction difference between the forager's heading before the filter was placed overhead and the compass direction of the forager leaving the filter. Reorientation data was compiled by taking the compass direction difference between each forager's exit orientation and their heading 50cm after exiting the filter.
DOI: 10.6084/m9.figshare.5328145.v2
title: FreasC_DataSet_ESM from Polarized light use in the nocturnal bull ant, <i>Myrmecia midas</i>.

description: Supplementary Data Set from Polarized light use in the nocturnal bull ant, Myrmecia midas. Data set comprises all refined data for all four experimental conditions. Exit orientation data was compiled by taking the compass direction difference between the forager's heading before the filter was placed overhead and the compass direction of the forager leaving the filter. Reorientation data was compiled by taking the compass direction difference between each forager's exit orientation and their heading 50cm after exiting the filter.
DOI: 10.6084/m9.figshare.5328145.v1
title: FreasC_DataSet_ESM from Polarized light use in the nocturnal bull ant, <i>Myrmecia midas</i>

description: Supplementary Data Set from Polarized light use in the nocturnal bull ant, Myrmecia midas. Data set comprises all refined data for all four experimental conditions. Exit orientation data was compiled by taking the compass direction difference between the forager's heading before the filter was placed overhead and the compass direction of the forager leaving the filter. Reorientation data was compiled by taking the compass direction difference between each forager's exit orientation and their heading 50cm after exiting the filter.
DOI: 10.6084/m9.figshare.11353022
title: GRID release 2019-12-10

description: A database of over 97,000 research institutes with persistent identifiers.<br>Release notes:<br>Institutes added from the following sources: - Various international sources<br>Metadata: - Added for GRID records without any URL and with the types "Archive, Faciltiy and Healthcare"<br>QA: - Records where the Geo information has been contradicting (coordinates vs. GeoNames) - Review of multinational companies and updates on relationships and name labels
DOI: 10.6084/m9.figshare.9963719.v1
title: GRID release 2019-10-06

description: A database of over 97,000 research institutes with persistent identifiers.<br>Release notes:<br>Institutes added from the following sources: - Various sources including Germany, Spain, Norway, China, Canada, Slovakia, USA, and the UK<br>Metadata: - ROR IDs have been added as external identifier<br> - Updated Geonames data to a recent release - Added metadata to GRID records without any url and with type "Education" - Review of HESA IDs - Update of Wikidata IDs and Wikipedia links<br>QA: - Review of the National Physical Laboratory (UK)<br> - Review of the Naval Undersea Warfare Center and Naval Research Laboratory (US) - Review of the Royal Netherlands Academy of Arts and Sciences - Review of the European Space Agency - Review of some German research institutions - Review of "CONICET - the National Scientific and Technical Research Council Argentina" - Review of United Nations organisations - Review of Academia Sinica (Taiwan) - Review of Weill Medical College (US) - Review of US Agricultural Research Service Research Centers - Review of University of Paris-Saclay children<br>
DOI: 10.6084/m9.figshare.9963719
title: GRID release 2019-10-06

description: A database of over 97,000 research institutes with persistent identifiers.<br>Release notes:<br>Institutes added from the following sources: - Various sources including Germany, Spain, Norway, China, Canada, Slovakia, USA, and the UK<br>Metadata: - ROR IDs have been added as external identifier<br> - Updated Geonames data to a recent release - Added metadata to GRID records without any url and with type "Education" - Review of HESA IDs - Update of Wikidata IDs and Wikipedia links<br>QA: - Review of the National Physical Laboratory (UK)<br> - Review of the Naval Undersea Warfare Center and Naval Research Laboratory (US) - Review of the Royal Netherlands Academy of Arts and Sciences - Review of the European Space Agency - Review of some German research institutions - Review of "CONICET - the National Scientific and Technical Research Council Argentina" - Review of United Nations organisations - Review of Academia Sinica (Taiwan) - Review of Weill Medical College (US) - Review of US Agricultural Research Service Research Centers - Review of University of Paris-Saclay children<br>
DOI: 10.6084/m9.figshare.7738979
title: GRID release 2019-02-17

description: A database of over 95,000 research institutes with persistent identifiers.<br>Release notes:<br>Institutes added from the following sources: - Various sources including the United States, Europe, India and Brazil<br><br>QA: - Review of universities with wrong type 'Healthcare' - National Physical Laboratory from additional sources - Review of French "École" GRID records - Consolidation of GRID records belonging to "RISE Research Institutes of Sweden"<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.
DOI: 10.6084/m9.figshare.7346852
title: GRID release 2018-11-14

description: A database of over 90,000 research institutes with persistent identifiers.<br>Release notes:Institutes added from the following sources:<br>Various sources including Canada, United States, United Kingdom, Poland and more<br>Metadata:Added coordinates for organisations in Germany.<br>QA:Corrected GeoNames IDs and coordinates of organisations in London, Beijing and Germany.<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.<br>
DOI: 10.6084/m9.figshare.7346852.v1
title: GRID release 2018-11-14

description: A database of over 90,000 research institutes with persistent identifiers.<br>Release notes:Institutes added from the following sources:<br>Various sources including Canada, United States, United Kingdom, Poland and more<br>Metadata:Added coordinates for organisations in Germany.<br>QA:Corrected GeoNames IDs and coordinates of organisations in London, Beijing and Germany.<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.<br>
DOI: 10.6084/m9.figshare.7021847
title: GRID release 2018-08-27

description: A database of over 89,000 research institutes with persistent identifiers.<br>Institutes added from various sources including Korea, India and other international datasets.<br>Metadata: - Added around 7,000 Wikidata IDs to GRID records.<br>QA: - Review of non-English Wikipedia links. - Review of Wellcome Trust institutes and centers (source data mappings, relationships). - Review of companies from Russian and Chinese sources.<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.<br>
DOI: 10.6084/m9.figshare.7021847.v1
title: GRID release 2018-08-27

description: A database of over 89,000 research institutes with persistent identifiers.<br>Institutes added from various sources including Korea, India and other international datasets.<br>Metadata: - Added around 7,000 Wikidata IDs to GRID records.<br>QA: - Review of non-English Wikipedia links. - Review of Wellcome Trust institutes and centers (source data mappings, relationships). - Review of companies from Russian and Chinese sources.<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.<br>
DOI: 10.25345/c5vv2n
title: MassIVE MSV000086275 - Vancomycin hydrochloride impurity
title: Vancomycin is a glycopeptide antibiotic produced by Streptomyces orientis, which is commonly used in clinic.At present, there are many manufacturers of vancomycin hydrochloride at home and abroad. Due to different production processes, there are obvious differences in the types and content of impurities. This substance is vancomycin hydrochloride for injection.
DOI: 10.6084/m9.figshare.6683654.v1
title: GRID release 2018-06-25

description: A database of over 88,000 research institutes with persistent identifiers.<br>Institutes added from various sources including China, Ireland, Korea, Bahamas, United Kingdom, United States and top 1000 R&D companies world wide.<br>Metadata:- Review of Chinese GeoNames IDs in Hong Kong and Beijing area<br>QA:- Review of the Chinese Academy of Science<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.
DOI: 10.6084/m9.figshare.6683654
title: GRID release 2018-06-25

description: A database of over 88,000 research institutes with persistent identifiers.<br>Institutes added from various sources including China, Ireland, Korea, Bahamas, United Kingdom, United States and top 1000 R&D companies world wide.<br>Metadata:- Review of Chinese GeoNames IDs in Hong Kong and Beijing area<br>QA:- Review of the Chinese Academy of Science<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.
DOI: 10.6084/m9.figshare.6216392
title: GRID release 2018-05-01

description: A database of over 87,000 research institutes with persistent identifiers.<br>Institutes added from various sources including China, Russia, Korea and India.<br>Metadata: - Increased coverage of Wikidata<br>QA: - Review of Australian governmental bodies and agencies<br> - Review of British research councils UKRI - UK Research and Innovation - Corrections to ISNI mappings<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.<br>