cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8251229
title: Type4_Diao_distr_2_1212_15_13_3_Info

description: Guide info from simulated CRISPR regulatory screen. Type 4, medium guide counts, high selection strength
DOI: 10.6084/m9.figshare.8251220
title: Type4_Diao_distr_2_1212_15_5_3_Info

description: Guide info from simulated CRISPR regulatory screen. Type 4, medium guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251223.v1
title: Type4_Diao_distr_2_1212_15_13_3_Counts

description: Counts from simulated CRISPR regulatory screen. Type 4, medium guide counts, high selection strength
DOI: 10.6084/m9.figshare.8251226.v1
title: Type4_Diao_distr_2_1212_15_13_3_Enhancers

description: Enhancer positions from simulated CRISPR regulatory screen. Type 4, medium guide counts, high selection strength
DOI: 10.6084/m9.figshare.8251229.v1
title: Type4_Diao_distr_2_1212_15_13_3_Info

description: Guide info from simulated CRISPR regulatory screen. Type 4, medium guide counts, high selection strength
DOI: 10.6084/m9.figshare.8251217
title: Type4_Diao_distr_2_1212_15_5_3_Enhancers

description: Enhancer positions from simulated CRISPR regulatory screen. Type 4, medium guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251211
title: RNAseq summary stats

description: The file is the RNAseq summary stats used in the publication of "Profiling the effect of Nafcillin on HA-MRSA D712 using bacteriological and physiological media".<br>U01 ID: Sample namesMean phred score: Mean sequencing quality scoes from Illumina<br>Total reads: Total number of reads in fastq filesPercentage aligment: percentage of reads aligned to <i>S. aureus</i> D712 genomeMapped reads: Number of reads mapped successfully to <i>S. aureus</i> D712 genome
DOI: 10.6084/m9.figshare.8251214
title: Type4_Diao_distr_2_1212_15_5_3_Counts

description: Counts from simulated CRISPR regulatory screen. Type 4, medium guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251217.v1
title: Type4_Diao_distr_2_1212_15_5_3_Enhancers

description: Enhancer positions from simulated CRISPR regulatory screen. Type 4, medium guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251220.v1
title: Type4_Diao_distr_2_1212_15_5_3_Info

description: Guide info from simulated CRISPR regulatory screen. Type 4, medium guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251151
title: Type4_Diao_distr_2_1212_100_5_3_Info

description: Guide info from simulated CRISPR regulatory screen. Type 4, high guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251211.v1
title: RNAseq summary stats

description: The file is the RNAseq summary stats used in the publication of "Profiling the effect of Nafcillin on HA-MRSA D712 using bacteriological and physiological media".<br>U01 ID: Sample namesMean phred score: Mean sequencing quality scoes from Illumina<br>Total reads: Total number of reads in fastq filesPercentage aligment: percentage of reads aligned to <i>S. aureus</i> D712 genomeMapped reads: Number of reads mapped successfully to <i>S. aureus</i> D712 genome
DOI: 10.6084/m9.figshare.8251148
title: Type4_Diao_distr_2_1212_100_5_3_Enhancers

description: Enhancer positions from simulated CRISPR regulatory screen. Type 4, high guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251145
title: Type4_Diao_distr_2_1212_100_5_3_Counts

description: Counts from simulated CRISPR regulatory screen. Type 4, high guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251151.v1
title: Type4_Diao_distr_2_1212_100_5_3_Info

description: Guide info from simulated CRISPR regulatory screen. Type 4, high guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251214.v1
title: Type4_Diao_distr_2_1212_15_5_3_Counts

description: Counts from simulated CRISPR regulatory screen. Type 4, medium guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251145.v1
title: Type4_Diao_distr_2_1212_100_5_3_Counts

description: Counts from simulated CRISPR regulatory screen. Type 4, high guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251049
title: Growth Curve data (OD600)

description: The file contains growth curve data for Staphylococcus aureus D712 strain at OD 600, which was used in publication of "Profiling the effect of Nafcillin on HA-MRSA D712 using bacteriological and physiological media"
DOI: 10.6084/m9.figshare.8251148.v1
title: Type4_Diao_distr_2_1212_100_5_3_Enhancers

description: Enhancer positions from simulated CRISPR regulatory screen. Type 4, high guide counts, low selection strength
DOI: 10.6084/m9.figshare.8251043
title: Canver_2015_mouse_analysis

description: Canver, 2015, mouse analysis
DOI: 10.6084/m9.figshare.8251046
title: Canver_2015_human_analysis

description: Canver, 2015, human analysis
DOI: 10.6084/m9.figshare.8251040
title: Rajagopal_2016_tdgf1_analysis

description: Rajagopal, 2016 Tdgf1 analysis
DOI: 10.6084/m9.figshare.8251043.v1
title: Canver_2015_mouse_analysis

description: Canver, 2015, mouse analysis
DOI: 10.6084/m9.figshare.8251046.v1
title: Canver_2015_human_analysis

description: Canver, 2015, human analysis
DOI: 10.6084/m9.figshare.8251037
title: Rajagopal_2016_zfp42_analysis

description: Rajagopal, 2016, Zfp42 analysis
DOI: 10.6084/m9.figshare.8251040.v1
title: Rajagopal_2016_tdgf1_analysis

description: Rajagopal, 2016 Tdgf1 analysis
DOI: 10.6084/m9.figshare.8251034
title: Rajagopal_2016_nanog_analysis

description: Rajagopal, 2016, Nanog analysis
DOI: 10.6084/m9.figshare.8251037.v1
title: Rajagopal_2016_zfp42_analysis

description: Rajagopal, 2016, Zfp42 analysis
DOI: 10.6084/m9.figshare.8251049.v1
title: OD600 Growth Curve data

description: The file contains growth curve data for Staphylococcus aureus D712 strain at OD 600, which was used in publication of "Profiling the effect of Nafcillin on HA-MRSA D712 using bacteriological and physiological media"
DOI: 10.6084/m9.figshare.8251028
title: Diao, Fang, 2017 analysis

description: Diao, Fang, 2017 analysis
DOI: 10.6084/m9.figshare.8251025
title: Diao_Shen_2016_analysis

description: Diao, Shen, 2016 analysis
DOI: 10.6084/m9.figshare.8251028.v1
title: Diao, Fang, 2017 analysis

description: Diao, Fang, 2017 analysis
DOI: 10.6084/m9.figshare.8251034.v1
title: Rajagopal_2016_nanog_analysis

description: Rajagopal, 2016, Nanog analysis
DOI: 10.6084/m9.figshare.8251022
title: Sanjana_Wright_2016_NF2_analysis

description: Sanjana, Wright, 2016, NF2 analysis
DOI: 10.6084/m9.figshare.8251016
title: Sanjana_Wright_2016_CUL3_analysis

description: Sanjana, Wright, 2016, CUL3 analysis
DOI: 10.6084/m9.figshare.8251019
title: Sanjana_Wright_2016_NF1_analysis

description: Sanjana, Wright, 2016, NF1 analysis
DOI: 10.6084/m9.figshare.8251022.v1
title: Sanjana_Wright_2016_NF2_analysis

description: Sanjana, Wright, 2016, NF2 analysis
DOI: 10.6084/m9.figshare.8251013
title: Gasperini_2017_sGuide_analysis

description: Gasperini, 2017, sGuide analysis
DOI: 10.6084/m9.figshare.8251016.v1
title: Sanjana_Wright_2016_CUL3_analysis

description: Sanjana, Wright, 2016, CUL3 analysis
DOI: 10.6084/m9.figshare.8251019.v1
title: Sanjana_Wright_2016_NF1_analysis

description: Sanjana, Wright, 2016, NF1 analysis
DOI: 10.6084/m9.figshare.8251025.v1
title: Diao_Shen_2016_analysis

description: Diao, Shen, 2016 analysis
DOI: 10.6084/m9.figshare.8251004
title: Simeonov_Gowen_2017_IL2RA_analysis

description: Simeonov, Gowen, 2017, IL2RA analysis
DOI: 10.6084/m9.figshare.8251007
title: Simeonov_Gowen_2017_CD69_analysis

description: Simeonov, Gowen, 2017, CD69 analysis
DOI: 10.6084/m9.figshare.8251010
title: Gasperini_2017_dualGuide_0410_analysis

description: Gasperini, 2017, dualGuide analysis
DOI: 10.6084/m9.figshare.8251013.v1
title: Gasperini_2017_sGuide_analysis

description: Gasperini, 2017, sGuide analysis
DOI: 10.6084/m9.figshare.8251007.v1
title: Simeonov_Gowen_2017_CD69_analysis

description: Simeonov, Gowen, 2017, CD69 analysis
DOI: 10.6084/m9.figshare.8250998
title: Fulco_2016_MYC_analysis

description: Fulco, 2016, MYC analysis
DOI: 10.6084/m9.figshare.8251004.v1
title: Simeonov_Gowen_2017_IL2RA_analysis

description: Simeonov, Gowen, 2017, IL2RA analysis
DOI: 10.6084/m9.figshare.8251010.v1
title: Gasperini_2017_dualGuide_0410_analysis

description: Gasperini, 2017, dualGuide analysis
DOI: 10.6084/m9.figshare.8250992
title: Klann_2017_HBE1_analysis

description: Klann, 2017, HBE1 analysis
DOI: 10.6084/m9.figshare.8250995
title: Klann_2017_HER2_p300_293T_sat_analysis

description: Klann, 2017, HER2, p300, 293T saturation analysis
DOI: 10.6084/m9.figshare.8251001
title: Fulco_2016_GATA1_analysis

description: Fulco, 2016, GATA1 analysis
DOI: 10.6084/m9.figshare.8250998.v1
title: Fulco_2016_MYC_analysis

description: Fulco, 2016, MYC analysis
DOI: 10.6084/m9.figshare.8251001.v1
title: Fulco_2016_GATA1_analysis

description: Fulco, 2016, GATA1 analysis
DOI: 10.6084/m9.figshare.8250992.v1
title: Klann_2017_HBE1_analysis

description: Klann, 2017, HBE1 analysis
DOI: 10.6084/m9.figshare.8250989
title: Klann_2017_HER2_Cas9_A431_sat_analysis

description: Klann, 2017, HER2, Cas9, A431, saturation analysis
DOI: 10.6084/m9.figshare.8250842
title: Isolation by Distance and Proximity to Urban Areas Affect Genetic Differentiation Among Collections of English Sole (Parophrys vetulus, family Pleuronectidae) in the Pacific Northwest and Salish Sea

description: This is a GENEPOP file that contains genotypes for English Sole Parophrys vetulus (family Pleuronectidae) at 15 microsatellite loci using a diploid, 1 column format <br>where a 129131 is a 129/131 heterozygote individual, etc. Each line contains the 15 genotypes for a fish. The fish are grouped by collections called POP and the first data line for a POP has an abbreviation for the location as described in Winans et al in prep to be submitted to Northwest Science by the same title. Collections range from 52.7257 N, <br>130.68387 W to 44.4348 N, 124.07113 W. Loci and PCR conditions are described in Winans et al. 2014, Conservation Genetics Resources 6:417-419.<br>
DOI: 10.6084/m9.figshare.8250989.v1
title: Klann_2017_HER2_Cas9_A431_sat_analysis

description: Klann, 2017, HER2, Cas9, A431, saturation analysis
DOI: 10.6084/m9.figshare.8250815
title: Wing breakout

description: Wing breakout
DOI: 10.6084/m9.figshare.8250815.v1
title: Wing breakout

description: Wing breakout
DOI: 10.6084/m9.figshare.8248973
title: Klann_2017_HER2_KRAB_A431_D11andD19_analysis

description: Klann, 2017, HER2, KRAB, A431, D11 and D19 analysis
DOI: 10.6084/m9.figshare.8248964
title: Klann_2017_HER2_p300_293T_DHS_analysis

description: Klann, 2017,HER2, p300, 293T, DHS analysis
DOI: 10.6084/m9.figshare.8248970
title: Klann_2017_HER2_p300_A431_sat_analysis

description: Klann, 2017, HER2, p300, A431, saturation analysis
DOI: 10.6084/m9.figshare.8248973.v1
title: Klann_2017_HER2_KRAB_A431_D11andD19_analysis

description: Klann, 2017, HER2, KRAB, A431, D11 and D19 analysis
DOI: 10.6084/m9.figshare.8248970.v1
title: Klann_2017_HER2_p300_A431_sat_analysis

description: Klann, 2017, HER2, p300, A431, saturation analysis
DOI: 10.6084/m9.figshare.8248961
title: Klann_2017_HER2_p300_A431_DHS_analysis

description: Klann 2017, HER2, p300, A431, DHS
DOI: 10.6084/m9.figshare.8248964.v1
title: Klann_2017_HER2_p300_293T_DHS_analysis

description: Klann, 2017,HER2, p300, 293T, DHS analysis
DOI: 10.6084/m9.figshare.8248961.v1
title: Klann_2017_HER2_p300_A431_DHS_analysis

description: Klann 2017, HER2, p300, A431, DHS
DOI: 10.6084/m9.figshare.8248937
title: Supplemental Table S2.

description: Supplemental Table S2. Urine Ba levels in patients who did or did not receive cardiopulmonary bypass during surgery.
DOI: 10.15131/shef.data.8248823
title: Antarctic Peninsula glacier front positions and ice-flow velocities

description: AntP_speed_geotiffs - geotiffs of ice flow velocity of 5 marine terminating outlet glaciers on the Antarctic Peninsula (Crane, Jorum, Hektoria, Drygalski and Cayley) between October 2016 and April 2018, derived from feature and speckle tracking of Sentinel 1a and 1b images. <br>Front_positions - ice front positions for the same 5 marine terminating glaciers, mapped using the tool GEEDiT in Google Earth Engine. This analysis used cloud free Landsat 8 and Sentinel 1 and 2 imagery.<br>Based on the paper by<br>Tuckett, P.A., Ely, J.C., Sole, A.J., Livingstone, S.J., Davison, B.J., van Wessem, J.M., Howard, J. 2019. Rapid accelerations of Antarctic Peninsula outlet glaciers driven by surface melt. Nature Communications. In Prep.
DOI: 10.15131/shef.data.8248823.v1
title: Antarctic Peninsula glacier front positions and ice-flow velocities

description: AntP_speed_geotiffs - geotiffs of ice flow velocity of 5 marine terminating outlet glaciers on the Antarctic Peninsula (Crane, Jorum, Hektoria, Drygalski and Cayley) between October 2016 and April 2018, derived from feature and speckle tracking of Sentinel 1a and 1b images. <br>Front_positions - ice front positions for the same 5 marine terminating glaciers, mapped using the tool GEEDiT in Google Earth Engine. This analysis used cloud free Landsat 8 and Sentinel 1 and 2 imagery.<br>Based on the paper by<br>Tuckett, P.A., Ely, J.C., Sole, A.J., Livingstone, S.J., Davison, B.J., van Wessem, J.M., Howard, J. 2019. Rapid accelerations of Antarctic Peninsula outlet glaciers driven by surface melt. Nature Communications. In Prep.
DOI: 10.25376/hra.8248766
title: Yang_Dev_Dyn_Review_Final-June.pdf

description: Regenerative capacity is widespread throughout almost all animal phyla. However, the distribution pattern remains incompletely understood. Various examples show that very closely related species display different regenerative capacities. Why and how have diverse regenerative capacities evolved across species? One prevailing thought in the field of regeneration is that most regeneration-associated factors are evolutionarily conserved, suggesting the existence of an innate tissue regeneration ability in all species. However, its regulation is differentially controlled in distinct species, resulting in heterogeneous regenerative capabilities. In this review, we discuss regeneration-associated enhancers, the key cis-regulatory elements controlling gene expression, their underlying molecular mechanisms, and their influence on regenerative capacity. Understanding the regulatory mechanisms of regeneration enhancers can provide fundamental insights into tissue regeneration and further help us develop therapeutic strategies to unlock latent healing powers in humans.
DOI: 10.6084/m9.figshare.8248760
title: Regan et al_2019_summary-data.xlsx

description: Data from Regan et al (2019) "Impacts of groundwater drainage on peatland subsidence and its ecological implications on an Atlantic raised bog"
DOI: 10.25376/hra.8248766.v1
title: Yang_Dev_Dyn_Review_Final-June.pdf

description: Regenerative capacity is widespread throughout almost all animal phyla. However, the distribution pattern remains incompletely understood. Various examples show that very closely related species display different regenerative capacities. Why and how have diverse regenerative capacities evolved across species? One prevailing thought in the field of regeneration is that most regeneration-associated factors are evolutionarily conserved, suggesting the existence of an innate tissue regeneration ability in all species. However, its regulation is differentially controlled in distinct species, resulting in heterogeneous regenerative capabilities. In this review, we discuss regeneration-associated enhancers, the key cis-regulatory elements controlling gene expression, their underlying molecular mechanisms, and their influence on regenerative capacity. Understanding the regulatory mechanisms of regeneration enhancers can provide fundamental insights into tissue regeneration and further help us develop therapeutic strategies to unlock latent healing powers in humans.
DOI: 10.6084/m9.figshare.8248721
title: Electronic Supplementary Material: Range expansion of the Common Dwarf Gecko, Lygodactylus capensis: South Africa’s most successful reptile invader

description: Extralimital records of<i> </i><i>Lygodactylus capensis</i> in South Africa <br><br>
DOI: 10.6084/m9.figshare.8248721.v1
title: Electronic Supplementary Material: Range expansion of the Common Dwarf Gecko, Lygodactylus capensis: South Africa’s most successful reptile invader

description: Extralimital records of<i> </i><i>Lygodactylus capensis</i> in South Africa <br><br>
DOI: 10.6084/m9.figshare.8248721.v3
title: Electronic Supplementary Material: Range expansion of the Common Dwarf Gecko, Lygodactylus capensis: South Africa’s most successful reptile invader

description: Extralimital records of<i> </i><i>Lygodactylus capensis</i> in South Africa <br><br>
DOI: 10.6084/m9.figshare.8248721.v2
title: Electronic Supplementary Material: Range expansion of the Common Dwarf Gecko, Lygodactylus capensis: South Africa’s most successful reptile invader

description: Extralimital records of<i> </i><i>Lygodactylus capensis</i> in South Africa <br><br>
DOI: 10.6084/m9.figshare.8248625
title: Screening tuberculosis patients for diabetes mellitus in a routine program setting in Kampala, Uganda: a cross-sectional study.

description: Data processes for Screening tuberculosis patients for diabetes mellitus in a routine program setting in Kampala, Uganda: a cross-sectional study.
DOI: 10.6084/m9.figshare.8248625.v1
title: Screening tuberculosis patients for diabetes mellitus in a routine program setting in Kampala, Uganda: a cross-sectional study.

description: Data processes for Screening tuberculosis patients for diabetes mellitus in a routine program setting in Kampala, Uganda: a cross-sectional study.
DOI: 10.6084/m9.figshare.8248583
title: Transcriptomic profiling of the mussel <i>Mytilus trossulus</i> with a special emphasis on integrin-like genes during development

description: This study is based on the Illumina RNA-sequencing data obtained for a <i>de novo</i> assembly of the transcriptome from early developmental stages and some tissues and cells of the adult mussel <i>Mytilus trossulus</i> (Mytilidae, Mollusca) using the Trinity program. A total of 200,079 contigs were obtained, and compared to the NCBI database using BLAST to search for sequence similarity. The number of annotated contigs under the GO term 3 categories was estimated to reach 19.96%. The BUSCO analysis determined a level of 99.2% completeness for the assembled transcriptome. The main findings include evidence that the mussel β integrin-like protein sequences are very similar to the β integrin-like proteins so far sequenced for all classes of Mollusca, while the highest similarity is observed between mussel and oyster (<i>Crasostrea gigas</i>) β integrin-like proteins. Our transcriptome dataset contributes to the genetic databases of non-model animals such as bivalves and represents the first characterization of expressed sequences during early development of the mollusc <i>M. trossulus</i> from the Sea of Japan including the identification of candidate genes involved in cell adhesion.
DOI: 10.17028/rd.lboro.8248475
title: Supplementary file for :"Sponsees matter! How collective responsibility judgments of sport sponsors affect sponsee equity"

description: Supplemental file to Dickenson & Souchon's paper, "Sponsees matter! How collective responsibility judgments of sport sponsors affect sponsee equity" accepted for publication in the European Sport Management Quarterly
DOI: 10.17028/rd.lboro.8248475.v1
title: Supplementary file for :"Sponsees matter! How collective responsibility judgments of sport sponsors affect sponsee equity"

description: Supplemental file to Dickenson & Souchon's paper, "Sponsees matter! How collective responsibility judgments of sport sponsors affect sponsee equity" accepted for publication in the European Sport Management Quarterly
DOI: 10.6084/m9.figshare.8248352
title: data availability

description: The data used to support the findings of this study "The infection of Chlamydia pneumoniae affecting the function of β-cell through activating TLR4 or mTOR signaling pathway" are included.
DOI: 10.6084/m9.figshare.8248331
title: Rheological measurements as indicator of hydrolysis...

description: These data set include experimental work conducted for anaerobic digestion of four different TS concentrations of sludge as well as the statistical analysis. Moreover, experimental data used to validate the statistical results are given in the last sheet.
DOI: 10.6084/m9.figshare.8248352.v2
title: data availability

description: The data used to support the findings of this study "The infection of Chlamydia pneumoniae affecting the function of β-cell through activating TLR4 or mTOR signaling pathway" are included.
DOI: 10.6084/m9.figshare.8248352.v1
title: data for Figures.docx

description: The data used to support the findings of this study "The infection of Chlamydia pneumoniae affecting the function of β-cell through activating TLR4 or mTOR signaling pathway" are included.
DOI: 10.6084/m9.figshare.8248289
title: Data analysis from Freire et al2.xlsx

description: Data from a paper for publishing.
DOI: 10.6084/m9.figshare.8248331.v1
title: Rheological measurements as indicator of hydrolysis...

description: These data set include experimental work conducted for anaerobic digestion of four different TS concentrations of sludge as well as the statistical analysis. Moreover, experimental data used to validate the statistical results are given in the last sheet.
DOI: 10.6084/m9.figshare.8248331.v3
title: Rheological measurements as indicator of hydrolysis...

description: These data set include experimental work conducted for anaerobic digestion of four different TS concentrations of sludge as well as the statistical analysis. Moreover, experimental data used to validate the statistical results are given in the last sheet.
DOI: 10.6084/m9.figshare.8248289.v1
title: Data analysis from Freire et al2.xlsx

description: Data from a paper for publishing.
DOI: 10.6084/m9.figshare.8248331.v2
title: Rheological measurements as indicator of hydrolysis...

description: These data set include experimental work conducted for anaerobic digestion of four different TS concentrations of sludge as well as the statistical analysis. Moreover, experimental data used to validate the statistical results are given in the last sheet.
DOI: 10.6084/m9.figshare.8248268
title: Charts from white paper 'The future of open access books: Findings from a global survey of academic book authors'

description: Charts from white paper 'The future of open access books: Findings from a global survey of academic book authors'.<br><br>Related downloads:<br>White paperhttps://figshare.com/articles/The_future_of_open_access_books_Findings_from_a_global_survey_of_academic_book_authors/8166599<br><br>Appendix 3: survey questionshttps://figshare.com/articles/Appendix_3_Survey_questions_-_The_future_of_open_access_books_Findings_from_a_global_survey_of_academic_book_authors/8166629<br><br>Appendix 4: raw datahttps://figshare.com/articles/Appendix_4_Raw_anonymised_data_-_The_future_of_open_access_books_Findings_from_a_global_survey_of_academic_book_authors/8166635<br><br>Infographic summary of the white paperhttps://figshare.com/articles/Infographic_summary_of_The_future_of_open_access_books_Findings_from_a_global_survey_of_academic_book_authors_white_paper/8248271<br>