cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc269t4h
title: CCDC 2035216: Experimental Crystal Structure Determination

description: Related Article: Tanner C. Jankins, Raul Martin-Montero, Phillippa Cooper, Ruben Martin, Keary M. Engle|2021|J.Am.Chem.Soc.|143|14981|doi:10.1021/jacs.1c07162
DOI: 10.5517/ccdc.csd.cc27lljz
title: CCDC 2073451: Experimental Crystal Structure Determination

description: Related Article: John J. Kiernicki, Emily E. Norwine, Matthias Zeller, Nathaniel K. Szymczak|2021|Inorg.Chem.|60|13806|doi:10.1021/acs.inorgchem.1c01382
DOI: 10.5517/ccdc.csd.cc27lll1
title: CCDC 2073453: Experimental Crystal Structure Determination

description: Related Article: John J. Kiernicki, Emily E. Norwine, Matthias Zeller, Nathaniel K. Szymczak|2021|Inorg.Chem.|60|13806|doi:10.1021/acs.inorgchem.1c01382
DOI: 10.6084/m9.figshare.16679863
title: Select FMDV SAT prototype sequences and Bayesian branch length

description: A list of select FMDV SAT prototype sequences and Bayesian phylogenetic branch length.
DOI: 10.6084/m9.figshare.16679863.v1
title: Select FMDV SAT prototype sequences and Bayesian branch length

description: A list of select FMDV SAT prototype sequences and Bayesian phylogenetic branch length.
DOI: 10.34740/kaggle/dsv/1949990
title: 2020OCRData
DOI: 10.5281/zenodo.5527265
title: Chemical probing of U2 snRNA - Capillary electrophoresis chromatograms

description: 1m7 chemical probing of the synthetic RNA consisting of the first 100 nucleotides of U2 snRNA along with a series of mutations in the Stem I region and data analysis was carried out essentially as described previously in "Kladwang W, VanLang CC, Cordero P, Das R (2011) A two-dimensional mutate-and-map strategy for non-coding RNA structure. Nat Chem 3: 954-962". Briefly synthetic U2 snRNA templates flanked by two stable stem-loops to use as probing standards and a 3′ tail for primer extensions were generated by PCR from overlapping oligonucleotides and used in T7 run-off transcription reactions. The transcribed RNA was separated on a 5% (v/v) denaturing polyacrylamide gel. Correlating bands identified by UV shadowing were excised, and the RNA was isolated from excised bands by soaking gel slices in 0.3 M sodium acetate pH 4.8, 1 mM EDTA, 10% phenol overnight followed by ethanol precipitation. For chemical probing, 0.6 pmol of RNA in 50mM Na-HEPES was heated to 95 ˚C for 3 minutes and allowed to fold at room temperature for 20 minutes followed by the addition of 10 mM magnesium chloride. The RNA was aliquoted into a 96-well plate with 5 mM 1m7 or water and incubated for 10 minutes at room temperature followed by the addition of oligo dT magnetic beads (Ambion) in 0.25 M Na-MES pH 6.0, 1.5 M NaCl, and 6.4 nM FAM-labeled primer. RNA/primers were isolated by magnetic bead immobilization, washed twice with 70% ethanol, and resuspended in 2.5 μL water. For reverse transcription, 20 units SuperScript III reverse transcriptase (Thermo Fisher Scientific), 5 mM dithiothreitol, 0.8 mM dNTPs, 50 mM Tris-HCl pH 8.3, 75 mM potassium chloride, and 3 mM magnesium chloride was added, and reactions were incubated for 30 minutes at 48˚C. Ladders were generated by the addition of ddNTPs to additional control reactions. Following reverse transcription, 0.2 M sodium hydroxide was added, and samples were incubated for 3 minutes at 90˚C to degrade the remaining RNA. Samples were neutralized by the addition of 1.4 M sodium chloride and 0.6 M hydrogen chloride, followed by 1.3 M sodium acetate pH 5.2. DNA was purified by magnetic bead immobilization, washed twice with 70% ethanol, and resuspended in Hi-Di formamide supplemented with R0X350 dye standards (1:8 ROXF) (Thermo Fisher Scientific). 1:3 and 1:15 dilutions of the samples in ROXF were analyzed by capillary electrophoresis (ELIM Biopharmaceuticals).
description: This work was funded by the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health (NIH) under award R01GM72649
DOI: 10.5281/zenodo.5527264
title: Chemical probing of U2 snRNA - Capillary electrophoresis chromatograms

description: 1m7 chemical probing of the synthetic RNA consisting of the first 100 nucleotides of U2 snRNA along with a series of mutations in the Stem I region and data analysis was carried out essentially as described previously in "Kladwang W, VanLang CC, Cordero P, Das R (2011) A two-dimensional mutate-and-map strategy for non-coding RNA structure. Nat Chem 3: 954-962". Briefly synthetic U2 snRNA templates flanked by two stable stem-loops to use as probing standards and a 3′ tail for primer extensions were generated by PCR from overlapping oligonucleotides and used in T7 run-off transcription reactions. The transcribed RNA was separated on a 5% (v/v) denaturing polyacrylamide gel. Correlating bands identified by UV shadowing were excised, and the RNA was isolated from excised bands by soaking gel slices in 0.3 M sodium acetate pH 4.8, 1 mM EDTA, 10% phenol overnight followed by ethanol precipitation. For chemical probing, 0.6 pmol of RNA in 50mM Na-HEPES was heated to 95 ˚C for 3 minutes and allowed to fold at room temperature for 20 minutes followed by the addition of 10 mM magnesium chloride. The RNA was aliquoted into a 96-well plate with 5 mM 1m7 or water and incubated for 10 minutes at room temperature followed by the addition of oligo dT magnetic beads (Ambion) in 0.25 M Na-MES pH 6.0, 1.5 M NaCl, and 6.4 nM FAM-labeled primer. RNA/primers were isolated by magnetic bead immobilization, washed twice with 70% ethanol, and resuspended in 2.5 μL water. For reverse transcription, 20 units SuperScript III reverse transcriptase (Thermo Fisher Scientific), 5 mM dithiothreitol, 0.8 mM dNTPs, 50 mM Tris-HCl pH 8.3, 75 mM potassium chloride, and 3 mM magnesium chloride was added, and reactions were incubated for 30 minutes at 48˚C. Ladders were generated by the addition of ddNTPs to additional control reactions. Following reverse transcription, 0.2 M sodium hydroxide was added, and samples were incubated for 3 minutes at 90˚C to degrade the remaining RNA. Samples were neutralized by the addition of 1.4 M sodium chloride and 0.6 M hydrogen chloride, followed by 1.3 M sodium acetate pH 5.2. DNA was purified by magnetic bead immobilization, washed twice with 70% ethanol, and resuspended in Hi-Di formamide supplemented with R0X350 dye standards (1:8 ROXF) (Thermo Fisher Scientific). 1:3 and 1:15 dilutions of the samples in ROXF were analyzed by capillary electrophoresis (ELIM Biopharmaceuticals).
description: This work was funded by the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health (NIH) under award R01GM72649
DOI: 10.17632/n4tkrgjy79.1
title: Scale development, Content Validity and Reliability of Neonatal Cardio-Pulmonary Outcome Measure (N-COM) of neonates admitted in Neonatal Intensive Care Units (NICUs)

description: The Neonatal Cardio-Pulmonary Outcome Measure (N-COM) will be the first scale which will help to assess the neonates with various respiratory and cardiac abnormalities. The Neonatal period is the most unsafe period as the newborn undergoes various environmental changes moving from intrauterine to extrauterine life.  The neonates admitted in NICUs suffers from various respiratory conditions such as - Respiratory distress syndrome, Persistent pulmonary hypertension of newborn, Bronchopulmonary dysplasia, Childhood interstitial lung disease, Meconium aspiration syndrome, Pleural disorders and Transient tachypnea of newborn whereas most frequent cardiac conditions in neonates are- Patent ductus arteriosus, tetralogy of fallot, Aortic stenosis, Arterial septal defect and coarctation of aorta.
DOI: 10.17632/rx7h572p53.1
title: A dataset on soil organic carbon according to four different methods along a characteristic Mediterranean transect in the Valencia province (Eastern Spain)

description: These are sixty-seven rows of data of soil organic and inorganic carbon, and textural fractions in surface horizons of a representative Mediterranean transect in the Valencia province (Eastern Spain) which were gathered in 2008 and 2009. The data include a sample unique consecutive identifier, a soil code number, a horizon code number, a sample code number, readily oxidized carbon mass fractions in the fine earth and the silt-plus-clay, total oxidized carbon mass fractions at 150, 180 and 210 ºC in the fine earth and the silt-plus-clay, total carbon mass fractions in the fine earth and the silt-plus-clay, lost-on-ignition mass fractions at 300, 400, 450, 500, 560, 600 and 650 ºC and 2 h in the fine earth and the silt-plus-clay, lost-on-ignition mass fractions at 560 ºC and 12 h in the fine earth and the silt-plus-clay, the carbonate carbon mass fraction in the fine earth and the silt-plus-clay, and clay, silt and sand mass fractions in the fine earth and the silt-plus-clay.
DOI: 10.17632/9cf2bpw4c8.3
title: Soft tissue therapy in managing procedural pain among neonates admitted in Neonatal intensive care unit: A single group pretest posttest quasi-experimental study.

description: Background -Neonatal intensive care unit (NICU) is a specialized nursery in a hospital that provides care to sick or premature babies. It has health care providers who have special training and equipment to give neonates the best possible care. During NICU stay neonates undergo various routine examination procedures which are performed to check  the prognosis. The most common procedures performed are blood drawing procedures which develops acute stress in neonates. Soft tissue therapy is a non pharmacological method for reducing the stress and pain in neonates. There is no  evidence of managing neonatal procedural pain with soft tissue therapy.
Purpose - To determine the effect of soft tissue therapy in managing the stressful and painful effects of various procedures in neonates admitted in neonatal intensive care unit.
Methods - The study is single group pretest posttest quasi experimental study. the participants included in study with age group 0 to 28 days.
The neonates who underwent various painful procedures are to be included in the study. These procedures can be various blood drawing procedures, mechanical intubation, removal of adhesive tapes etc. The samples are taken by convenience sampling and neonates with unstable vital signs are excluded from the study. The techniques like stroking, effleurage, kneading, rolling manipulations are used in soft tissue therapy application.
Discussion -  There are less evidence  regarding managing procedural pain with soft tissue therapy. For managing the stressful effects and reducing the effects of acute pain soft tissue therapy techniques are used.
DOI: 10.17632/9cf2bpw4c8.4
title: Soft tissue therapy in managing procedural pain among neonates admitted in Neonatal intensive care unit: A single group pretest-posttest quasi-experimental study.

description: Background -Neonatal intensive care unit (NICU) is a specialized nursery in a hospital that provides care to sick or premature babies. It has health care providers who have special training and equipment to give neonates the best possible care. During NICU stay neonates undergo various routine examination procedures which are performed to check  the prognosis. The most common procedures performed are blood drawing procedures which develops acute stress in neonates. Soft tissue therapy is a non pharmacological method for reducing the stress and pain in neonates. There is no  evidence of managing neonatal procedural pain with soft tissue therapy.
Purpose - To determine the effect of soft tissue therapy in managing the stressful and painful effects of various procedures in neonates admitted in neonatal intensive care unit.
Methods - The study is single group pretest posttest quasi experimental study. the participants included in study with age group 0 to 28 days.
The neonates who underwent various painful procedures are to be included in the study. These procedures can be various blood drawing procedures, mechanical intubation, removal of adhesive tapes etc. The samples are taken by convenience sampling and neonates with unstable vital signs are excluded from the study. The techniques like stroking, effleurage, kneading, rolling manipulations are used in soft tissue therapy application.
Discussion -  There are less evidence  regarding managing procedural pain with soft tissue therapy. For managing the stressful effects and reducing the effects of acute pain soft tissue therapy techniques are used.
DOI: 10.17632/44sc4yb3wb.1
title: Alternate structure controls for phase separation and toxicity of poly(PR) C9ORF72 dipeptide

description: Raw data for imaging, immunoblotting and proteomics.
DOI: 10.17632/9cf2bpw4c8.5
title: Soft tissue therapy in managing procedural pain among neonates admitted in Neonatal intensive care unit: A single group pretest-posttest quasi-experimental study.

description: Background -Neonatal intensive care unit (NICU) is a specialized nursery in a hospital that provides care to sick or premature babies. It has health care providers who have special training and equipment to give neonates the best possible care. During NICU stay neonates undergo various routine examination procedures which are performed to check  the prognosis. The most common procedures performed are blood drawing procedures which develops acute stress in neonates. Soft tissue therapy is a non pharmacological method for reducing the stress and pain in neonates. There is no  evidence of managing neonatal procedural pain with soft tissue therapy.
Purpose - To determine the effect of soft tissue therapy in managing the stressful and painful effects of various procedures in neonates admitted in neonatal intensive care unit.
Methods - The study is single group pretest posttest quasi experimental study. the participants included in study with age group 0 to 28 days.
The neonates who underwent various painful procedures are to be included in the study. These procedures can be various blood drawing procedures, mechanical intubation, removal of adhesive tapes etc. The samples are taken by convenience sampling and neonates with unstable vital signs are excluded from the study. The techniques like stroking, effleurage, kneading, rolling manipulations are used in soft tissue therapy application.
Discussion -  There are less evidence  regarding managing procedural pain with soft tissue therapy. For managing the stressful effects and reducing the effects of acute pain soft tissue therapy techniques are used.
DOI: 10.17632/f3w4vgwmsx.2
title: TYA - Medulloblastoma

description: Results for HOMER motif analysis for TYA-specific differences in medulloblastoma
DOI: 10.5281/zenodo.5525090
title: Supporting data for: Oceanic and atmospheric drivers of post-El-Niño chlorophyll rebound in the equatorial Pacific

description: The GFDL ESM2M, ESM4.1, ESM4.1-static simulation data used for ENSO related chlorophyll and iron analysis in the study are available in this repository. Please contact hyung-gyu.lim@noaa.gov for further questions.. The project on "Oceanic and atmospheric drivers of post-El-Niño chlorophyll rebound in the equatorial Pacific" is implemented based on below dataset that is submitted to Geophysical Research Letters at September 2021 regridded by 1 degree horizontal resolution for the tropical Pacific region [120E-60W, 20N-20S] ESM2M : chl, temp, fed, no3 for 1001-1100 years ESM4.1: chl, thetao, dfe, no3, od550dust, dep_dry_fed, dep_wet_fed for 501-650 years ESM4.1-static: chlos, dfeos, tos for 501-650 years The tar file in this submission holds the above data.
description: The GFDL ESM2M, ESM4.1, ESM4.1-static simulation data used for ENSO related chlorophyll and iron analysis in the study are available in this repository.
DOI: 10.5281/zenodo.5525089
title: Supporting data for: Oceanic and atmospheric drivers of post-El-Niño chlorophyll rebound in the equatorial Pacific

description: The GFDL ESM2M, ESM4.1, ESM4.1-static simulation data used for ENSO related chlorophyll and iron analysis in the study are available in this repository. Please contact hyung-gyu.lim@noaa.gov for further questions.. The project on "Oceanic and atmospheric drivers of post-El-Niño chlorophyll rebound in the equatorial Pacific" is implemented based on below dataset that is submitted to Geophysical Research Letters at September 2021 regridded by 1 degree horizontal resolution for the tropical Pacific region [120E-60W, 20N-20S] ESM2M : chl, temp, fed, no3 for 1001-1100 years ESM4.1: chl, thetao, dfe, no3, od550dust, dep_dry_fed, dep_wet_fed for 501-650 years ESM4.1-static: chlos, dfeos, tos for 501-650 years The tar file in this submission holds the above data.
description: The GFDL ESM2M, ESM4.1, ESM4.1-static simulation data used for ENSO related chlorophyll and iron analysis in the study are available in this repository.
DOI: 10.6084/m9.figshare.16679986
title: Data.xlsx

description: Raw data set<br>
DOI: 10.6084/m9.figshare.16679986.v1
title: Data.xlsx

description: Raw data set<br>
DOI: 10.5281/zenodo.5082114
title: Sponsored and Unsponsored Posts on Instagram

description: The dataset release comprises 2 Comma Separated Values (CSV) files, one for sponsored posts and another for unsponsored posts collected between 4/15/20 and 5/15/20. The first file "sponsored_posts.csv" contains 29,425 rows with each row representing a post. The second file "unsponsored_posts.csv" contains 28,779 rows with each row representing a post. For each post, the following attributes are collected as columns in each file: user_id: The Instagram ID of the user user_followers:The number of out-degree nodes for the user likes: The number of likes for the post comments: The number of comments for the post id: The Instagram ID of the Post
DOI: 10.5281/zenodo.5082113
title: Sponsored and Unsponsored Posts on Instagram

description: The dataset release comprises 2 Comma Separated Values (CSV) files, one for sponsored posts and another for unsponsored posts collected between 4/15/20 and 5/15/20. The first file "sponsored_posts.csv" contains 29,425 rows with each row representing a post. The second file "unsponsored_posts.csv" contains 28,779 rows with each row representing a post. For each post, the following attributes are collected as columns in each file: user_id: The Instagram ID of the user user_followers:The number of out-degree nodes for the user likes: The number of likes for the post comments: The number of comments for the post id: The Instagram ID of the Post
DOI: 10.5281/zenodo.5527306
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.15121602
title: FlamingoComplete2.25.21.csv

description: <b>Wading through water: effects of water depth and speed on the drag and kinematics of walking Chilean flamingos, <i>Phoenicopterus chilensis</i></b>
DOI: 10.5281/zenodo.5147901
title: Multiply improved positive matrix factorization for source apportionment of volatile organic compounds during the COVID-19 shutdown in Tianjin, China

description: This dataset contains the input and output data of the multiple PMF for volatile organic compounds (VOCs) source apportionment in the suburbs of Tianjin, China, during the outbreak of COVID-19 period (November 2019 to March 2020).
DOI: 10.5281/zenodo.5147900
title: Multiply improved positive matrix factorization for source apportionment of volatile organic compounds during the COVID-19 shutdown in Tianjin, China

description: This dataset contains the input and output data of the multiple PMF for volatile organic compounds (VOCs) source apportionment in the suburbs of Tianjin, China, during the outbreak of COVID-19 period (November 2019 to March 2020).
DOI: 10.25345/c5nn9c
title: MassIVE Reanalysis RMSV000000256.54 - CCMS ProteoCarta MS-GF+ reanalysis of Agrobacterium tumefaciens IAM 12048 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Agrobacterium tumefaciens IAM 12048 (MSV000083150/PXD010000).
DOI: 10.25345/c5hz7g
title: MassIVE Reanalysis RMSV000000256.58 - CCMS ProteoCarta MS-GF+ reanalysis of Bifidobacterium longum infantis ATCC15697 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bifidobacterium longum infantis ATCC15697 (MSV000083150/PXD010000).
DOI: 10.25345/c5d55v
title: MassIVE Reanalysis RMSV000000256.60 - CCMS ProteoCarta MS-GF+ reanalysis of Bacillus subtilis 168 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacillus subtilis 168 (MSV000083150/PXD010000).
DOI: 10.25345/c58g3z
title: MassIVE Reanalysis RMSV000000256.56 - CCMS ProteoCarta MS-GF+ reanalysis of Bifidobacterium bifidum ATCC29521 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bifidobacterium bifidum ATCC29521 (MSV000083150/PXD010000).
DOI: 10.25345/c54p11
title: MassIVE Reanalysis RMSV000000256.59 - CCMS ProteoCarta MS-GF+ reanalysis of Alcaligenes faecalis from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Alcaligenes faecalis (MSV000083150/PXD010000).
DOI: 10.25345/c50z6f
title: MassIVE Reanalysis RMSV000000256.57 - CCMS ProteoCarta MS-GF+ reanalysis of Algoriphagus marincola HL-49 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Algoriphagus marincola HL-49 (MSV000083150/PXD010000).
DOI: 10.25345/c5w83g
title: MassIVE Reanalysis RMSV000000256.55 - CCMS ProteoCarta MS-GF+ reanalysis of Bacillus cereus ATCC14579 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacillus cereus ATCC14579 (MSV000083150/PXD010000).
DOI: 10.25345/c5rg2x
title: MassIVE Reanalysis RMSV000000256.62 - CCMS ProteoCarta MS-GF+ reanalysis of Bacteroides thetaiotaomicron VPI-5482 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacteroides thetaiotaomicron VPI-5482 (MSV000083150/PXD010000).
DOI: 10.25345/c5mr8q
title: MassIVE Reanalysis RMSV000000256.61 - CCMS ProteoCarta MS-GF+ reanalysis of Anaerococcus hydrogenalis DSM 7454 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Anaerococcus hydrogenalis DSM 7454 (MSV000083150/PXD010000).
DOI: 10.25345/c5gz6s
title: MassIVE Reanalysis RMSV000000256.63 - CCMS ProteoCarta MS-GF+ reanalysis of Bacillus subtilis NCIB3610 from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacillus subtilis NCIB3610 (MSV000083150/PXD010000).
DOI: 10.25345/c5c83t
title: MassIVE Reanalysis RMSV000000256.65 - CCMS ProteoCarta MS-GF+ reanalysis of Chryseobacterium indologenes from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Chryseobacterium indologenes (MSV000083150/PXD010000).
DOI: 10.25345/c57g0h
title: MassIVE Reanalysis RMSV000000256.64 - CCMS ProteoCarta MS-GF+ reanalysis of Campylobacter jejuni from DeNovo Peptide Identification Deep Learning Training Set [launched by 8a5f304ae46e47af8c32c3cc6c71a310]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Campylobacter jejuni (MSV000083150/PXD010000).