cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2924309
title: Input data for manuscript "SNR-based GNSS reflectometry for coastal sea-level altimetry – Results from the first IAG inter-comparison campaign"

description: GNSS data collected at station GTGU for one year (2015.5-2016.5) and nearby tide gauge data. Note: the antenna position in the header file, expressed in global Cartesian coordinates, corresponds inadvertently to integer values of latitude, longitude, and altitude (57.0°, 11.0°, 0.0 m); non-truncated values are as follows: 57.3929549°, 11.9134886°, 40.420 m.
description: The GNSS-R data were provided by the Onsala Space Observatory, Chalmers University of Technology, Sweden, which is funded by Vetenskapsrådet, the Swedish Research Council. Further details on GTGU and GTGD and the corresponding data are found in the publications Löfgren J. and Haas R. (2014), Sea level measurements using multi-frequency GPS and GLONASS observations. EURASIP Journal on Advances in Signal Processing. 2014 (1), https://doi.org/10.1186/1687-6180-2014-50/, and Strandberg J., Hobiger T. and Haas R. (2016), Improving GNSS-R sea level determination through inverse modeling of SNR data. Radio Sci., 51, 1286-1296, https://doi.org/10.1002/2016RS006057/.
DOI: 10.6084/m9.figshare.25205869
title: Practical applications of quality assurance and quality control in mineral exploration, resource estimation and mining programs: a review of recommended international practices

description: An Excel<sup>TM</sup> spreadsheet for the calculation of CV<sub>AVG</sub> (Appendix 3).
DOI: 10.6084/m9.figshare.25205869.v1
title: Practical applications of quality assurance and quality control in mineral exploration, resource estimation and mining programs: a review of recommended international practices

description: An Excel<sup>TM</sup> spreadsheet for the calculation of CV<sub>AVG</sub> (Appendix 3).
DOI: 10.4121/af9918ff-d1f9-4e96-aece-e4fa22f6bc08.v2
title: Data, code, and supplementary material for the publication "Planar bubble plumes from an array of nozzles: Measurements and modelling"

description: Data:<br>Code:Supplementary material: One video shows the underwater drone filming the bubble curtain. The second video shows an overview of the bubble curtain. The bubble curtain was 31 m wide and 10 m high with 2 mm holes drilled every 100mm. This research was carried out in the light of sound mitigation by bubble curtains. Both the hydrodynamic and acoustic properties of the bubble curtain were measured. The data was collected using an underwater drone with a camera and a stationary underwater camera.
DOI: 10.25794/reference/ikp7lwya
title: Xancic-JS584

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.6084/m9.figshare.25205831.v1
title: <b>Dataset on vibrational spectra of amber and amber-like resins</b>

description: Dataset presents experimental data on vibrational spectroscopy of worldwide amber and amber-like resins. IR spectra were obtained using SHIMADZU IRPrestige-2 (Japan). Raman spectra were obtained using a Virsa Raman analyzer (UK). The data includes analyzed IR and Raman spectra of amber and amber-like resins, obtained to identify markers that determine spectral characteristics of natural resin and its deposits.
DOI: 10.6084/m9.figshare.25205831
title: <b>Dataset on vibrational spectra of amber and amber-like resins</b>

description: Dataset presents experimental data on vibrational spectroscopy of worldwide amber and amber-like resins. IR spectra were obtained using SHIMADZU IRPrestige-2 (Japan). Raman spectra were obtained using a Virsa Raman analyzer (UK). The data includes analyzed IR and Raman spectra of amber and amber-like resins, obtained to identify markers that determine spectral characteristics of natural resin and its deposits.
DOI: 10.25794/reference/2wbza/cd
title: Xancic-JW160-1

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.6084/m9.figshare.14821256
title: Additional file 4 of Systems pharmacogenomics identifies novel targets and clinically actionable therapeutics for medulloblastoma

description: Additional file 4: Supplementary Table S3. Expression Data associated with Figure 1.
DOI: 10.25794/reference/9dtr4_vd
title: Xancic-LE20

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.25794/reference/2wpmdemx
title: Xancic-C40

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.25794/reference/d5dldctp
title: Xancif-CFBP7767R

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.25794/reference/batefapi
title: Xancif-CFBP6996R

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.25794/reference/d78tgatb
title: Xancif-CFBP6988R

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.25794/reference/4h2hoa7c
title: Xancim-LG81-27

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.25345/c50r9mf6p
title: MassIVE MSV000094065 - substrate repertoire of P4HA1 and P4HA2
title: This dataset was generated from the ATDC5 cell line, which was invalidated through crispr/Cas9 approach using adenoviral transduction for either P4ha1, P4ha2 or both P4ha1 and P4ha2. The secretomes of all 4 genotypes (3 technical replicates each) were investigated using label free relative quantification based on LC-MALDI analysis.
DOI: 10.25794/reference/qce_3lea
title: Xancim-LG56-10

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.6084/m9.figshare.20070019
title: Additional file 1 of Mechanistic insight of the potential of geraniol against Alzheimer’s disease

description: Additional file 1. S1_Rare data for target identification, S2_Rare data for GO terms and KEGG pathways analyses, S3_Rare data for GO terms and KEGG pathway analyses of functional clustering, S4_Rare data for molecular docking.
DOI: 10.25794/reference/cf4jpwox
title: Xaneua-CFBP3836

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.6084/m9.figshare.20070019.v1
title: Additional file 1 of Mechanistic insight of the potential of geraniol against Alzheimer’s disease

description: Additional file 1. S1_Rare data for target identification, S2_Rare data for GO terms and KEGG pathways analyses, S3_Rare data for GO terms and KEGG pathway analyses of functional clustering, S4_Rare data for molecular docking.
DOI: 10.6084/m9.figshare.20070064
title: Additional file 1 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 1: Table S1. Clinical manifestations and laboratory records.
DOI: 10.6084/m9.figshare.20070058
title: Additional file 12 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 12: Table S8. The predicted cis-associated genes of the SLE-dysregulated lncRNAs.
DOI: 10.6084/m9.figshare.20070058.v1
title: Additional file 12 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 12: Table S8. The predicted cis-associated genes of the SLE-dysregulated lncRNAs.
DOI: 10.6084/m9.figshare.20070052
title: Additional file 10 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 10: Table S7. CIBERSORTx analysis.
DOI: 10.6084/m9.figshare.20070052.v1
title: Additional file 10 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 10: Table S7. CIBERSORTx analysis.
DOI: 10.6084/m9.figshare.20070061.v1
title: Additional file 13 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 13: Table S9. The predicted trans-associated genes of the SLE-dysregulated lncRNAs.
DOI: 10.6084/m9.figshare.20070073
title: Additional file 4 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 4: Table S4. SLE dysregulated lncRNAs.
DOI: 10.6084/m9.figshare.20070061
title: Additional file 13 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 13: Table S9. The predicted trans-associated genes of the SLE-dysregulated lncRNAs.
DOI: 10.6084/m9.figshare.20070073.v1
title: Additional file 4 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 4: Table S4. SLE dysregulated lncRNAs.
DOI: 10.6084/m9.figshare.20070064.v1
title: Additional file 1 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 1: Table S1. Clinical manifestations and laboratory records.
DOI: 10.6084/m9.figshare.20070076
title: Additional file 5 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 5: Table S5. SLE dysregulated mRNAs.
DOI: 10.6084/m9.figshare.20070079
title: Additional file 6 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 6: Table S6. Gene expression levels of controls from two separate cohorts.
DOI: 10.6084/m9.figshare.20070076.v1
title: Additional file 5 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 5: Table S5. SLE dysregulated mRNAs.
DOI: 10.6084/m9.figshare.20070079.v1
title: Additional file 6 of Systemic lupus erythematosus dysregulates the expression of long noncoding RNAs in placentas

description: Additional file 6: Table S6. Gene expression levels of controls from two separate cohorts.
DOI: 10.25794/reference/yt_sjzw0
title: Xanoro-BAI3

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.25794/reference/q83dge2k
title: Xanphp-CFBP6546R

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.25794/reference/mpnxqkj4
title: Xantrt-CFBP2054

description: EGN-PP reannotation using Xanthomix Project RNASeq data
DOI: 10.6084/m9.figshare.14303049
title: Additional file 8 of Phytohormone and integrated mRNA and miRNA transcriptome analyses and differentiation of male between hermaphroditic floral buds of andromonoecious Diospyros kaki Thunb

description: Additional file 8: Table S7.
DOI: 10.6084/m9.figshare.14303049.v1
title: Additional file 8 of Phytohormone and integrated mRNA and miRNA transcriptome analyses and differentiation of male between hermaphroditic floral buds of andromonoecious Diospyros kaki Thunb

description: Additional file 8: Table S7.
DOI: 10.6084/m9.figshare.14303040.v1
title: Additional file 5 of Phytohormone and integrated mRNA and miRNA transcriptome analyses and differentiation of male between hermaphroditic floral buds of andromonoecious Diospyros kaki Thunb

description: Additional file 5: Table S4.
DOI: 10.6084/m9.figshare.14303043.v1
title: Additional file 6 of Phytohormone and integrated mRNA and miRNA transcriptome analyses and differentiation of male between hermaphroditic floral buds of andromonoecious Diospyros kaki Thunb

description: Additional file 6: Table S5.
DOI: 10.6084/m9.figshare.14303040
title: Additional file 5 of Phytohormone and integrated mRNA and miRNA transcriptome analyses and differentiation of male between hermaphroditic floral buds of andromonoecious Diospyros kaki Thunb

description: Additional file 5: Table S4.
DOI: 10.5281/zenodo.4124659
title: CompressGraph: Knowledge about compression algorithms, tools, formats, ratios and runtime behaviour

description: Machine-readable dataset to determine the best compression settings for a given goal such as "fastest compression" or "fastest search over compressed data". Graph model (JSON + auto-derived Dot format) along with CSV measurement results of 13 compression tools and 30 tool-configuration-search combinations. Associated publication: Josef Spillner, «Comparison and Model of Compression Techniques for Smart Cloud Log File Handling», CCCI 2020. This dataset also contains a snapshot of the associated software prototypes.<br>
DOI: 10.5281/zenodo.4053734
title: CompressGraph: Knowledge about compression algorithms, tools, formats, ratios and runtime behaviour

description: Machine-readable dataset to determine the best compression settings for a given goal such as "fastest compression" or "fastest search over compressed data". Graph model (JSON + auto-derived Dot format) along with CSV measurement results of 13 compression tools and 30 tool-configuration-search combinations. Associated publication: Josef Spillner, «Comparison and Model of Compression Techniques for Smart Cloud Log File Handling», CCCI 2020. This dataset also contains a snapshot of the associated software prototypes.<br>
DOI: 10.5281/zenodo.4124678
title: Relativistic Kinematics of a Magnetic Soliton: Manuscript Data

description: Raw manuscript data for "Relativistic Kinematics of a Magnetic Soliton" by Caretta, et al.
DOI: 10.5281/zenodo.4124677
title: Relativistic Kinematics of a Magnetic Soliton: Manuscript Data

description: Raw manuscript data for "Relativistic Kinematics of a Magnetic Soliton" by Caretta, et al.
DOI: 10.6084/m9.figshare.13138481.v1
title: R0310_20191126a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.21227/8ssy-c563
title: Mass Spring

description: This dataset is in support of Research Paper "Non Linear " submitted to "IEEE Transactions on Circuits and Systems I"analysis submissionsAbstract of the above submitted paper
DOI: 10.21227/k9vn-m066
title: Resonant

description: This dataset is in support of Research Paper submitted to "IEEE Transactions on Power Electronics"analysis submissionsAbstract of the above submitted paper
DOI: 10.21227/wx9d-d271
title: wind

description: This dataset is in support of Research Paper " " submitted to "IEEE Transactions on Energy Conversion".analysis submissionsAbstract of the above submitted paper
DOI: 10.21227/sjhq-n047
title: An Interesting Observation- C

description: This dataset is in support of my Research claim - "dersting observation on " , submitted to IEEE Transactions on Circuits and Systems I .analysis submissionsHere is the dataset along with supplementary materials relevant to this paper. It includess multimedia, gif images which are the result of the3) ( proposed by me in the Research paper)Below is the paper Abstract submitted to IEEEif able to do work on this, will submit by dec 2020 o jan 2021,otherwise june or dec 2021
DOI: 10.21227/p71q-yx61
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.-------------------------------------Related: Coronavirus (COVID-19) Tweets Sentiment Trend (Global), Coronavirus (COVID-19) Tweets Dataset and Tweets Originating from India During COVID-19 Lockdowns 1, 2, 3, 4-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 247,406 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: 10.21227/hxqw-ez88
title: wind

description: This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion".analysis submissionsAbstract of the above submitted paper
DOI: 10.21227/qe60-tb10
title: An Interesting Observation- C

description: This dataset is in support of my Research claim - "Mathematical Insight on Part - 6 " , submitted to IEEE Transactions on Circuits and Systems I .analysis submissionsHere is the dataset along with supplementary materials relevant to this paper. It includess multimedia, gif images which are the result of the3) ( proposed by me in the Research paper)Below is the paper Abstract submitted to IEEEif able to do work on this, will submit by dec 2020 o jan 2021,otherwise june or dec 2021
DOI: 10.21227/8d2x-5f35
title: Single Phase Grid

description: d
DOI: 10.2905/f85907ae-d123-471f-a44a-8cca993485a2
title: Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union

description: Accurately characterizing land surface changes with Earth Observation requires geo-localized ground truth. In the European Union (EU), a tri-annual surveyed sample of land cover and land use has been collected since 2006 under the Land Use/Cover Area frame Survey (LUCAS). A total of 1,351,293 observations at 651,780 unique locations for 117 variables along with 5.4 million photos were collected during five LUCAS surveys. Until now, these data have never been harmonised into one database, limiting full exploitation of the information. This paper describes the LUCAS point sampling/surveying methodology, including collection of standard variables such as land cover, environmental parameters, and full resolution landscape and point photos, and then describes the harmonisation process. The resulting harmonised database is the most comprehensive in-situ dataset on land cover and use in the EU. The database is valuable for geo-spatial and statistical analysis of land use and land cover change. Furthermore, its potential to provide multi-temporal in-situ data will be enhanced by recent computational advances such as deep learning.
DOI: 10.2907/eusilc2004-2018v.1
title: U - Statistics on Income and Living Conditions microdata 2004-2018, release 2020, version 1
DOI: 10.6073/pasta/2f704d7a9c04bee8642a26cf5ef56479
title: Zooplankton collected with a 1.4-m2 frame, 500-μm mesh Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) aboard Palmer LTER annual cruises off the coast of the Western Antarctic Peninsula, 2009-2017

description: Zooplankton are a morphologically and taxonomically diverse group of animals. Many zooplankton feed on phytoplankton in surface waters and thus provide a link between primary producers and higher trophic levels. Other zooplankton reside in the mesopelagic zone and feed on detritus or on other animals. Depth-discrete density of zooplankton taxa was determined at process study stations on the annual Palmer LTER cruises along the western Antarctic Peninsula. Samples were collected with a 1.4-m2 frame, 500-μm mesh Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) towed obliquely to the surface from a depth of typically 500 m. MOCNESS tows were conducted in consecutive day-night pairs at each process study station. Zooplankton depth distributions vary between day and night as these animals conduct diel vertical migrations. Depth distributions also vary among zooplankton taxa based on species feeding ecology and life history traits. Zooplankton diel vertical migration contributes to the export of carbon and nutrients from the surface ocean to the mesopelagic zone.
DOI: 10.6084/m9.figshare.7936586
title: The effect of the Great East Japan Earthquake on hypertensive disorders during pregnancy: a study from the Fukushima Health Management Survey

description: <b>Objectives:</b> This study aimed to assess the effects of the Great East Japan Earthquake on hypertensive disorder of pregnancy (HDP) in the Fukushima Prefecture. <b>Methods:</b> We used the results of the Fukushima Health Management Survey which targeted women who gave birth from 2011–2012. Pregnant women were divided into three groups according to their residential area during the disaster (affected, middle, and less-affected area), and four groups according to pregnancy trimester during the disaster (first, second, third trimester, or conception after the disaster). Adjusted odds ratio (aORs) for HDP of each residential area was calculated using logistic regression models, with pregnancy trimester during the disaster as references. <b>Results:</b> Overall, 8323 women participated in the study (affected area: 2207; middle area: 5183; and less-affected area: 933). For women living in the affected and middle areas in the third trimester, the disaster was a significant risk factor for HDP (aOR: 2.61, 1.02–6.66, aOR: 1.93, 1.10–3.40, respectively). <b>Conclusions:</b> To our knowledge, this is the first study to integrate patient residential areas and gestational age during the time of a disaster to estimate the risk of HDP. The third trimester of pregnancy at the time of the disaster was associated with HDP for the women living in the affected and middle areas. The knowledge of the data on disaster-related obstetrical complications can help obstetric care providers in a disaster area provide appropriate medical aid in an emergency.
DOI: 10.6084/m9.figshare.7936586.v1
title: The effect of the Great East Japan Earthquake on hypertensive disorders during pregnancy: a study from the Fukushima Health Management Survey

description: <b>Objectives:</b> This study aimed to assess the effects of the Great East Japan Earthquake on hypertensive disorder of pregnancy (HDP) in the Fukushima Prefecture. <b>Methods:</b> We used the results of the Fukushima Health Management Survey which targeted women who gave birth from 2011–2012. Pregnant women were divided into three groups according to their residential area during the disaster (affected, middle, and less-affected area), and four groups according to pregnancy trimester during the disaster (first, second, third trimester, or conception after the disaster). Adjusted odds ratio (aORs) for HDP of each residential area was calculated using logistic regression models, with pregnancy trimester during the disaster as references. <b>Results:</b> Overall, 8323 women participated in the study (affected area: 2207; middle area: 5183; and less-affected area: 933). For women living in the affected and middle areas in the third trimester, the disaster was a significant risk factor for HDP (aOR: 2.61, 1.02–6.66, aOR: 1.93, 1.10–3.40, respectively). <b>Conclusions:</b> To our knowledge, this is the first study to integrate patient residential areas and gestational age during the time of a disaster to estimate the risk of HDP. The third trimester of pregnancy at the time of the disaster was associated with HDP for the women living in the affected and middle areas. The knowledge of the data on disaster-related obstetrical complications can help obstetric care providers in a disaster area provide appropriate medical aid in an emergency.
DOI: 10.5281/zenodo.4125318
title: Remote job offers in Spain on october 2020

description: Extract of remote job offers found in two different platforms on October 2020. This is published with the intention of studying the roles and key technologies more demanded for remote working.
DOI: 10.5281/zenodo.4125317
title: Remote job offers in Spain on october 2020

description: Extract of remote job offers found in two different platforms on October 2020. This is published with the intention of studying the roles and key technologies more demanded for remote working.
DOI: 10.5517/ccdc.csd.cc26brnz
title: CCDC 2036131: Experimental Crystal Structure Determination

description: Related Article: N. Ye, J.M. Tanski|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1752|doi:10.1107/S2056989020013523