cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5286/isis.e.rb1910563
title: Studying the strength of acid sites in an industrial ZSM-5 catalyst: TOSCA

description: As part of an on-going programme of work to better understand critical factors in the methanol-to-hydrocarbon process over ZSM-5 zeolite catalysts, it is becoming increasingly important to more precisely describe the nature and form of the active site distribution.  This proposal seeks to use the TOSCA spectrometer to analyse pyridine chemisorption over ZSM-5 that has experienced specific sample treatments.  The TOSCA measurements will concentrate on characterising the presence and diminution of pyridinium ion modes as a function of the reaction coordinate.  A linked application for MAPS time will concentrate on characterising the hydroxyl modes (stretch and deformation) that convey the Brønsted acidity exhibited by this catalyst.
DOI: 10.5286/isis.e.rb1910563-1
title: Studying the strength of acid sites in an industrial ZSM-5 catalyst: TOSCA

description: As part of an on-going programme of work to better understand critical factors in the methanol-to-hydrocarbon process over ZSM-5 zeolite catalysts, it is becoming increasingly important to more precisely describe the nature and form of the active site distribution.  This proposal seeks to use the TOSCA spectrometer to analyse pyridine chemisorption over ZSM-5 that has experienced specific sample treatments.  The TOSCA measurements will concentrate on characterising the presence and diminution of pyridinium ion modes as a function of the reaction coordinate.  A linked application for MAPS time will concentrate on characterising the hydroxyl modes (stretch and deformation) that convey the Brønsted acidity exhibited by this catalyst.
DOI: 10.13145/bacdive1367.20190402.4
title: Lentibacillus jeotgali Jung et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1368.20190402.4
title: Lentibacillus persicus Sánchez-Porro et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1369.20190402.4
title: Marinococcus halophilus (Novitsky and Kushner 1976) Hao et al. 1985

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1370.20190402.4
title: Marinococcus halotolerans Li et al. 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1371.20190402.4
title: Marinococcus luteus Wang et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1372.20190402.4
title: Oceanobacillus iheyensis Lu et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1373.20190402.4
title: Oceanobacillus picturae (Heyrman et al. 2003) Lee et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1374.20190402.4
title: Oceanobacillus oncorhynchi subsp. incaldanensis Romano et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1375.20190402.4
title: Oceanobacillus chironomi Raats and Halpern 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2250.20190402.4
title: Atopococcus tabaci Collins et al. 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2251.20190402.4
title: Atopostipes suicloacalis Cotta et al. 2004

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.22622542
title: Additional file 5 of A web tool for the global identification of pig breeds

description: Additional file 5: Table S4. Information on the breeds used in the reference dataset.
DOI: 10.6084/m9.figshare.20001083.v1
title: Additional file 3 of Circ_0004087 interaction with SND1 promotes docetaxel resistance in prostate cancer by boosting the mitosis error correction mechanism

description: Additional file 3. Mass spectrometry assay of proteins pulled down by circ_0004087.
DOI: 10.6084/m9.figshare.20001089.v1
title: Additional file 5 of Circ_0004087 interaction with SND1 promotes docetaxel resistance in prostate cancer by boosting the mitosis error correction mechanism

description: Additional file 5. Interaction propensity of SND1 protein residue to circ_0004087 predicted by catRAPID algorithm.
DOI: 10.6084/m9.figshare.20001077
title: Additional file 1 of Circ_0004087 interaction with SND1 promotes docetaxel resistance in prostate cancer by boosting the mitosis error correction mechanism

description: Additional file 1. The sequences of primers, oligonucleotides and probes used in this study.
DOI: 10.6084/m9.figshare.20001077.v1
title: Additional file 1 of Circ_0004087 interaction with SND1 promotes docetaxel resistance in prostate cancer by boosting the mitosis error correction mechanism

description: Additional file 1. The sequences of primers, oligonucleotides and probes used in this study.
DOI: 10.6084/m9.figshare.20001089
title: Additional file 5 of Circ_0004087 interaction with SND1 promotes docetaxel resistance in prostate cancer by boosting the mitosis error correction mechanism

description: Additional file 5. Interaction propensity of SND1 protein residue to circ_0004087 predicted by catRAPID algorithm.
DOI: 10.6084/m9.figshare.20001083
title: Additional file 3 of Circ_0004087 interaction with SND1 promotes docetaxel resistance in prostate cancer by boosting the mitosis error correction mechanism

description: Additional file 3. Mass spectrometry assay of proteins pulled down by circ_0004087.
DOI: 10.6084/m9.figshare.20001086
title: Additional file 4 of Circ_0004087 interaction with SND1 promotes docetaxel resistance in prostate cancer by boosting the mitosis error correction mechanism

description: Additional file 4. RNA-binding proteins.
DOI: 10.5281/zenodo.10633627
title: Data: Cutting the costs of coastal protection by integrating vegetation in flood defences.

description: File: levee_crest_height_reduction_per_country_version_July2021.ncFields:     (1) Crest height reduction m per km along the populated coastline susceptible to flooding (return period = 100 years)                (2) Crest height reduction cost saving per country in million USD2005 PPP along the populated coastline susceptible to flooding (return period = 100 years)           (3) Cost savings as percentage of GDP2005 along the urban populated coastline susceptible to flooding (return period = 100 years)

File: transectdata_version_July2021.nc Transectdata of vegetated transects within the study area.Fields: (1) rps             = return period            (2) fid             = id of the transects(3) centroids       = coordinates of the transects(4) inun            = (1) in area susceptible to flooding(5) urban           = (1) in urban area, (0) not in urban area(6) veg_width       = derived coastal vegetation belt width along the foreshore(7) veg_type        = derived coastal vegetation type along the foreshore (1: salt marshes, 2: mangroves)(8) hsig            = Offshore significant wave heights (multiple return periods) corresponding to the transects(9) wave period     = Offshore peak wave period (multiple return periods) corresponding to the transects(10) surge          = Extreme water level combination of surge and tide (m +MSL) (multiple return periods)(11) veg_z0         = elevation at the start of the vegetated zone (m +MSL)(12) hrms_end_noveg = root mean square wave height at the end of the foreshore (without vegetation) (multiple return periods)(13) hrms_endveg       = root mean square wave height at the end of the foreshore (with vegetation) (multiple return periods) (14) pdens_15km        = population density derived using buffer of 15 kilometre radius
DOI: 10.5281/zenodo.2525659
title: Data: Cutting the costs of coastal protection: how vegetation reduces global flood hazard

description: File: levee_crest_height_reduction_per_country.nc<br>
Fields: (1) Levee crest height reduction m per km along the global coastline susceptible to flooding (return period = 100 years)<br>
            (2) Levee crest height reduction cost saving per country in billion USD (return period = 100 years)<br>
            (3) Cost savings as percentage of GDP, due to lowered required levee crest height (return period = 100 years)

File: transectdata_180320_data_per_transect.nc<br>
Fields:<br>
(1) rps           = return period           <br>
(2) fid            = id of the transects<br>
(3) centroids = coordinates of the transects<br>
(4) inun         = (1) in area susceptible to flooding, (0) not susceptible to flooding<br>
(5) urban       = (1) in urban area, (0) not in urban area<br>
(6) veg_width = derived vegetation width along the foreshore<br>
(7) veg_type   = derived vegetation type along the foreshore<br>
(8) hsig           = Offshore significant wave heights (multiple return periods) corresponding to the transects<br>
(9) wave period = Offshore peak wave period (multiple return periods) corresponding to the transects<br>
(10) surge          = Extreme water level combination of surge and tide (m +MSL) (multiple return periods)<br>
(11) veg_z0       = elevation at the start of the vegetated zone (m +MSL)<br>
(12) hrms_end_noveg = root mean square wave height at the end of the foreshore (without vegetation) (multiple return periods)<br>
(13) hrms_endveg       = root mean square wave height at the end of the foreshore (with vegetation) (multiple return periods)
DOI: 10.5281/zenodo.2525658
title: Data: Cutting the costs of coastal protection by integrating vegetation in flood defences.

description: File: levee_crest_height_reduction_per_country_version_July2021.ncFields:     (1) Crest height reduction m per km along the populated coastline susceptible to flooding (return period = 100 years)                (2) Crest height reduction cost saving per country in million USD2005 PPP along the populated coastline susceptible to flooding (return period = 100 years)           (3) Cost savings as percentage of GDP2005 along the urban populated coastline susceptible to flooding (return period = 100 years)

File: transectdata_version_July2021.nc Transectdata of vegetated transects within the study area.Fields: (1) rps             = return period            (2) fid             = id of the transects(3) centroids       = coordinates of the transects(4) inun            = (1) in area susceptible to flooding(5) urban           = (1) in urban area, (0) not in urban area(6) veg_width       = derived coastal vegetation belt width along the foreshore(7) veg_type        = derived coastal vegetation type along the foreshore (1: salt marshes, 2: mangroves)(8) hsig            = Offshore significant wave heights (multiple return periods) corresponding to the transects(9) wave period     = Offshore peak wave period (multiple return periods) corresponding to the transects(10) surge          = Extreme water level combination of surge and tide (m +MSL) (multiple return periods)(11) veg_z0         = elevation at the start of the vegetated zone (m +MSL)(12) hrms_end_noveg = root mean square wave height at the end of the foreshore (without vegetation) (multiple return periods)(13) hrms_endveg       = root mean square wave height at the end of the foreshore (with vegetation) (multiple return periods) (14) pdens_15km        = population density derived using buffer of 15 kilometre radius
DOI: 10.5281/zenodo.4667761
title: Data: Cutting the costs of coastal protection: how vegetation reduces global flood hazard

description: File: levee_crest_height_reduction_per_country_version_April2021.nc<br> Fields: (1) Crest height reduction m per km along the populated coastline susceptible to flooding (return period = 100 years)<br> (2) Crest height reduction cost saving per country in billion USD2005 along the populated coastline susceptible to flooding (return period = 100 years)<br> (3) Cost savings as percentage of GDP along the urban populated coastline susceptible to flooding (return period = 100 years) File: transectdata_version_April2021.nc<br> Transectdata of vegetated transects within the study area.<br> Fields: <br> (1) rps = return period <br> (2) fid = id of the transects<br> (3) centroids = coordinates of the transects<br> (4) inun = (1) in area susceptible to flooding<br> (5) urban = (1) in urban area, (0) not in urban area<br> (6) veg_width = derived vegetation width along the foreshore<br> (7) veg_type = derived vegetation type along the foreshore (1: salt marshes, 2: mangroves)<br> (8) hsig = Offshore significant wave heights (multiple return periods) corresponding to the transects<br> (9) wave period = Offshore peak wave period (multiple return periods) corresponding to the transects<br> (10) surge = Extreme water level combination of surge and tide (m +MSL) (multiple return periods)<br> (11) veg_z0 = elevation at the start of the vegetated zone (m +MSL)<br> (12) hrms_end_noveg = root mean square wave height at the end of the foreshore (without vegetation) (multiple return periods)<br> (13) hrms_endveg = root mean square wave height at the end of the foreshore (with vegetation) (multiple return periods) <br> (14) pdens_15km = population density derived using buffer of 15 kilometre radius
DOI: 10.5281/zenodo.5120632
title: Data: Cutting the costs of coastal protection by integrating vegetation in flood defences.

description: File: levee_crest_height_reduction_per_country_version_July2021.nc<br> Fields: (1) Crest height reduction m per km along the populated coastline susceptible to flooding (return period = 100 years)<br> (2) Crest height reduction cost saving per country in million USD<sub>2005</sub> PPP along the populated coastline susceptible to flooding (return period = 100 years)<br> (3) Cost savings as percentage of GDP<sub>2005</sub> along the urban populated coastline susceptible to flooding (return period = 100 years) File: transectdata_version_July2021.nc<br> Transectdata of vegetated transects within the study area.<br> Fields: <br> (1) rps = return period <br> (2) fid = id of the transects<br> (3) centroids = coordinates of the transects<br> (4) inun = (1) in area susceptible to flooding<br> (5) urban = (1) in urban area, (0) not in urban area<br> (6) veg_width = derived coastal vegetation belt width along the foreshore<br> (7) veg_type = derived coastal vegetation type along the foreshore (1: salt marshes, 2: mangroves)<br> (8) hsig = Offshore significant wave heights (multiple return periods) corresponding to the transects<br> (9) wave period = Offshore peak wave period (multiple return periods) corresponding to the transects<br> (10) surge = Extreme water level combination of surge and tide (m +MSL) (multiple return periods)<br> (11) veg_z0 = elevation at the start of the vegetated zone (m +MSL)<br> (12) hrms_end_noveg = root mean square wave height at the end of the foreshore (without vegetation) (multiple return periods)<br> (13) hrms_endveg = root mean square wave height at the end of the foreshore (with vegetation) (multiple return periods) <br> (14) pdens_15km = population density derived using buffer of 15 kilometre radius
DOI: 10.25402/fon.19476845
title: Supplementary Material – Phase I/Ib Dose-Escalation Study of Avelumab in Chinese Patients With Advanced Solid Tumors

description: <b>Supplementary Table 1. Antitumor activity</b>
 
 
 
 




<br><br><br><br>Phase I/Ib Dose-Escalation Study of Avelumab in
Chinese Patients With Advanced Solid Tumors
DOI: 10.6084/m9.figshare.22619476
title: Additional file 1 of Comprehensive analysis of cuproptosis-related long noncoding RNA for predicting prognostic and diagnostic value and immune landscape in colorectal adenocarcinoma

description: Additional file 1: Table S1. The primer sequences of CRLs
DOI: 10.6084/m9.figshare.10041152
title: of Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa

description: of Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa
DOI: 10.6084/m9.figshare.10041152.v1
title: of Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa

description: of Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa
DOI: 10.6084/m9.figshare.13186881
title: SNX29, a new susceptibility gene shared with major mental disorders in Han Chinese population

description: Environmental and genetic factors play important roles in the development of schizophrenia (SCZ), bipolar disorder (BPD) or major depressive disorder (MDD). Some risk loci are identified with shared genetic effects on major psychiatric disorders. To investigate whether <i>SNX29</i> gene played a significant role in these psychiatric disorders in the Han Chinese population. We focussed on 11 single-nucleotide polymorphisms (SNPs) harbouring <i>SNX29</i> gene and carried out case–control studies in patients with SCZ (<i>n</i> = 1248), BPD (<i>n</i> = 1344), or MDD (<i>n</i> = 1056), and 1248 healthy controls (HC) recruited from the Han Chinese population. We constructed weighted gene co-expression network analysis (WGCNA) and extracted significant modules by R package. We found that rs3743592 was significantly associated with MDD and rs6498263 with BPD in both allele and genotype distributions. Before correction, rs3743592 showed allelic and genotypic significance with SCZ, rs6498263 showed allelic significance with SCZ. WGCNA identified top 10 modules of co-expressed genes. Gene Ontology (GO) and pathway analysis were used to examine the functions of SNX29, which revealed that SNX29 was involved in the regulation of a number of biological processes, such as TGF-beta, ErbB, and Wnt signalling pathway, etc. Our results supported common risk factors in <i>SNX29</i> might share among these three mental disorders in the Han Chinese population.
DOI: 10.6084/m9.figshare.10041155
title: of Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa

description: of Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa
DOI: 10.6084/m9.figshare.10041155.v1
title: of Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa

description: of Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa
DOI: 10.6084/m9.figshare.22622636.v1
title: Additional file 9 of HiCAT: a tool for automatic annotation of centromere structure

description: Additional file 9: Table S8. Runtime for HiCAT in human and Arabidopsis thaliana.
DOI: 10.6084/m9.figshare.22622633
title: Additional file 8 of HiCAT: a tool for automatic annotation of centromere structure

description: Additional file 8: Table S7. HiCAT HORs in Arabidopsis thaliana centromeres.
DOI: 10.5522/04/25061525
title: Research data for the paper "Emergent strong zero mode through local Floquet engineering"

description: Includes the data for the paper "Emergent strong zero mode through local Floquet engineering" (arXiv:2306.01835).The compressed file "fig_data.zip" (please uncompress it) contains 14 folders for each figures from fig.2-15 in the above mentioned paper. Each folder contains the relevant data and a .py file (except fig12 which contains .xmgr file to plot) to generate the corresponding figure in the paper (just run "python2 filename.py" from terminal opened in the corresponding figure folder). All the data are standard .txt or .dat file. The file names are mostly self explanatory but the .py files (together with the output figure generated by running it) can be used to easily identify all the data corresponding to the each plot given in the corresponding figure. The equations and methods used to generate the data are described in the above mentioned paper. We used standard LAPACK library to do the Exact diagonalization calculations.
DOI: 10.5522/04/25061525.v2
title: Research data for the paper "Emergent strong zero mode through local Floquet engineering"

description: Includes the data for the paper "Emergent strong zero mode through local Floquet engineering" (arXiv:2306.01835).The compressed file "fig_data.zip" (please uncompress it) contains 14 folders for each figures from fig.2-15 in the above mentioned paper. Each folder contains the relevant data and a .py file (except fig12 which contains .xmgr file to plot) to generate the corresponding figure in the paper (just run "python2 filename.py" from terminal opened in the corresponding figure folder). All the data are standard .txt or .dat file. The file names are mostly self explanatory but the .py files (together with the output figure generated by running it) can be used to easily identify all the data corresponding to the each plot given in the corresponding figure. The equations and methods used to generate the data are described in the above mentioned paper. We used standard LAPACK library to do the Exact diagonalization calculations.
DOI: 10.5522/04/25061525.v1
title: Research data for the paper "Emergent strong zero mode through local Floquet engineering"

description: Includes the data for the paper "Emergent strong zero mode through local Floquet engineering" (arXiv:2306.01835).The compressed file "fig_data.zip" (please uncompress it) contains 14 folders for each figures from fig.2-15 in the above mentioned paper. Each folder contains the relevant data and a .py file (except fig12 which contains .xmgr file to plot) to generate the corresponding figure in the paper (just run "python2 filename.py" from terminal opened in the corresponding figure folder). All the data are standard .txt or .dat file. The file names are mostly self explanatory but the .py files (together with the output figure generated by running it) can be used to easily identify all the data corresponding to the each plot given in the corresponding figure. The equations and methods used to generate the data are described in the above mentioned paper. We used standard LAPACK library to do the Exact diagonalization calculations.
DOI: 10.6084/m9.figshare.22622615
title: Additional file 2 of HiCAT: a tool for automatic annotation of centromere structure

description: Additional file 2: Table S1. Simulated validation in canonical datasets.
DOI: 10.6084/m9.figshare.22622621
title: Additional file 4 of HiCAT: a tool for automatic annotation of centromere structure

description: Additional file 4: Table S3. Centromere regions in human and Arabidopsis thaliana.
DOI: 10.6084/m9.figshare.22622624.v1
title: Additional file 5 of HiCAT: a tool for automatic annotation of centromere structure

description: Additional file 5: Table S4. Comparison between HiCAT and previous studies for HORs in human centromeres.
DOI: 10.6084/m9.figshare.22622627
title: Additional file 6 of HiCAT: a tool for automatic annotation of centromere structure

description: Additional file 6: Table S5. Location bias enrichment test in CEN5.