cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/d844e83b32471a4966abe3d5f0212823
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Half-hourly soil moisture and temperature data, 2008-2022

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set includes half-hourly values of surface moisture content (gravimetric, 0-5cm), depth-integrated soil moisture (volumetric, 0-20 cm), and soil temperature in winter warming, summer warming, and control treatment plots at CiPEHR.
DOI: 10.6084/m9.figshare.5471563
title: Additional File 3_retina.xlsx

description: Additional Data for publication:<br>f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq, Florian Buettner; Naruemon Pratanwanich; Davis McCarthy; John Marioni; Oliver Stegle, Genome Biology, 2017<br>Retina residual dataset.
Residual gene expression levels for 2,145 retina cells considered in Fig. 5c-e.
The residual data were obtained by regressing out the most relevant unannotated
factor as inferred by f-scLVM (Supp. Fig. 8a) from the pseudo-observations Y ̃. <br>
DOI: 10.6084/m9.figshare.5471563.v1
title: Additional File 3_retina.xlsx

description: Additional Data for publication:<br>f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq, Florian Buettner; Naruemon Pratanwanich; Davis McCarthy; John Marioni; Oliver Stegle, Genome Biology, 2017<br>Retina residual dataset.
Residual gene expression levels for 2,145 retina cells considered in Fig. 5c-e.
The residual data were obtained by regressing out the most relevant unannotated
factor as inferred by f-scLVM (Supp. Fig. 8a) from the pseudo-observations Y ̃. <br>
DOI: 10.6084/m9.figshare.5484526
title: Raw data of cell viability in response to cytotoxicity of RGPP or TR. from Gene delivery ability of polyethylenimine and polyethylene glycol dual-functionalized nanographene oxide in 11 different cell lines

description: The excel file included all of the raw data of cell viability experiments. Cell viability of cells treated with different concentrations of RGPP or TR for 48 h determined by CCK-8 assay.
DOI: 10.6084/m9.figshare.5484526.v1
title: Raw data of cell viability in response to cytotoxicity of RGPP or TR. from Gene delivery ability of polyethylenimine and polyethylene glycol dual-functionalized nanographene oxide in 11 different cell lines

description: The excel file included all of the raw data of cell viability experiments. Cell viability of cells treated with different concentrations of RGPP or TR for 48 h determined by CCK-8 assay.
DOI: 10.6084/m9.figshare.5484541
title: Raw data of transfection efficiency by transfection reagent RGPP or TR. from Gene delivery ability of polyethylenimine and polyethylene glycol dual-functionalized nanographene oxide in 11 different cell lines

description: The excel file included all of the raw data of transfection efficiency experiments. Transfection efficiency of RGPP or TR for plasmids (transfected for 48 h) or siRNA (transfected for 4 h) was detected by FCM analysis.
DOI: 10.6084/m9.figshare.5484541.v1
title: Raw data of transfection efficiency by transfection reagent RGPP or TR. from Gene delivery ability of polyethylenimine and polyethylene glycol dual-functionalized nanographene oxide in 11 different cell lines

description: The excel file included all of the raw data of transfection efficiency experiments. Transfection efficiency of RGPP or TR for plasmids (transfected for 48 h) or siRNA (transfected for 4 h) was detected by FCM analysis.
DOI: 10.6084/m9.figshare.5488285
title: Reducing the rate of cesarean delivery on maternal request through institutional and policy interventions in Wenzhou, China

description: We
examined changes in the CS and CDMR rates in three periods through a chi-square
test. Then, a binary logistic analysis was used to
identify whether age and different periods have an effect on choosing CDMR.
DOI: 10.6084/m9.figshare.5488285.v2
title: Reducing the rate of cesarean delivery on maternal request through institutional and policy interventions in Wenzhou, China

description: We
examined changes in the CS and CDMR rates in three periods through a chi-square
test. Then, a binary logistic analysis was used to
identify whether age and different periods have an effect on choosing CDMR.
DOI: 10.6084/m9.figshare.5488285.v1
title: Reducing the rate of cesarean delivery on maternal request through institutional and policy interventions in Wenzhou, China

description: We
examined changes in the CS and CDMR rates in three periods through a chi-square
test. Then, a binary logistic analysis was used to
identify whether age and different periods have an effect on choosing CDMR.
DOI: 10.6084/m9.figshare.5488450.v1
title: <i>Ab Initio</i> Investigation of the Microspecies and Energy in Hydrated Strontium Ion Clusters

description: Quantum chemistry calculations were used to study the structure and energy of strontium (Sr) ion hydrated clusters [Sr(H<sub>2</sub>O)<sub>1−25</sub>]<sup>2+</sup>. The saturated hydration number of the first hydration layer of Sr<sup>2+</sup> was 8, and the hydration distance was 2.58 Å. The second hydration layer had 1–9 hydration numbers, and the hydration distance was in the range of 4.4–4.6 Å. This work also developed the relationship between the thermodynamic data (average water binding energy <i>E<sub>n</sub></i> and successive water binding energy Δ<i>E<sub>n,n</sub></i><sub>−1</sub>, etc.) of the aforementioned low-energy structure and the hydration structures. The first hydration layer was formed by the strong electrostatic interaction between Sr<sup>2+</sup> and water molecules, and the decrease in Δ<i>E<sub>n</sub></i><sub>,</sub><i><sub>n</sub></i><sub>−1</sub> was relatively large. Hydrogen bonds were formed between water molecules of the second hydration layer and water molecules of the inner layer, and the decrease in Δ<i>E<sub>n</sub></i><sub>,</sub><i><sub>n</sub></i><sub>−1</sub> was relatively small. When one water molecule was added beyond the second hydration layer, Δ<i>E<sub>n</sub></i><sub>,</sub><i><sub>n</sub></i><sub>−1</sub> was close to the hydrogen bond energy 8.88 kcal/mol (37.1 kJ/mol) of dimer water molecule, indicating that there was very weak interaction between Sr<sup>2+</sup> and the water molecules beyond the second hydration layer.
DOI: 10.6084/m9.figshare.5501374
title: Data supporting the arcticle from The optimization of fermentation conditions for producing cellulase of <i>Bacillus amyloliquefaciens</i> and its application to goose feed

description: Data of culture conditions, Enzymatic properties and goose feed
DOI: 10.6084/m9.figshare.5501374.v1
title: Data supporting the arcticle from The optimization of fermentation conditions for producing cellulase of <i>Bacillus amyloliquefaciens</i> and its application to goose feed

description: Data of culture conditions, Enzymatic properties and goose feed
DOI: 10.6084/m9.figshare.5501515
title: Table S1 from Resurrecting ancestral genes in bacteria to interpret ancient biosignatures

description: Two datasets, the geologic record and the genetic content of extant organisms, provide complementary insights into the history of how key molecular components have shaped or driven global environmental and macroevolutionary trends. Changes in global physico-chemical modes over time are thought to be a consistent feature of this relationship between Earth and life, as life is thought to have been optimizing protein functions for the entirety of its approximately 3.8 billion years of history on the Earth. Organismal survival depends on how well critical genetic and metabolic components can adapt to their environments, reflecting an ability to optimize efficiently to changing conditions. The geologic record provides an array of biologically independent indicators of macroscale atmospheric and oceanic composition, but provides little in the way of the exact behaviour of the molecular components that influenced the compositions of these reservoirs. By reconstructing sequences of proteins that might have been present in ancient organisms, we can downselect to a subset of possible sequences that may have been optimized to these ancient environmental conditions. How can one use modern life to reconstruct ancestral behaviours? Configurations of ancient sequences can be inferred from the diversity of extant sequences, and then resurrected in the laboratory to ascertain their biochemical attributes. One way to augment sequence-based, single-gene methods to obtain a richer and more reliable picture of the deep past, is to resurrect inferred ancestral protein sequences in living organisms, where their phenotypes can be exposed in a complex molecular-systems context, and to then link consequences of those phenotypes to biosignatures that were preserved in the independent historical repository of the geological record. As a first step beyond single-molecule reconstruction to the study of functional molecular systems, we present here the ancestral sequence reconstruction of the beta-carbonic anhydrase protein. We assess how carbonic anhydrase proteins meet our selection criteria for reconstructing ancient biosignatures in the laboratory, which we term paleophenotype reconstruction.
DOI: 10.6084/m9.figshare.5501521
title: Table S2 from Resurrecting ancestral genes in bacteria to interpret ancient biosignatures

description: Two datasets, the geologic record and the genetic content of extant organisms, provide complementary insights into the history of how key molecular components have shaped or driven global environmental and macroevolutionary trends. Changes in global physico-chemical modes over time are thought to be a consistent feature of this relationship between Earth and life, as life is thought to have been optimizing protein functions for the entirety of its approximately 3.8 billion years of history on the Earth. Organismal survival depends on how well critical genetic and metabolic components can adapt to their environments, reflecting an ability to optimize efficiently to changing conditions. The geologic record provides an array of biologically independent indicators of macroscale atmospheric and oceanic composition, but provides little in the way of the exact behaviour of the molecular components that influenced the compositions of these reservoirs. By reconstructing sequences of proteins that might have been present in ancient organisms, we can downselect to a subset of possible sequences that may have been optimized to these ancient environmental conditions. How can one use modern life to reconstruct ancestral behaviours? Configurations of ancient sequences can be inferred from the diversity of extant sequences, and then resurrected in the laboratory to ascertain their biochemical attributes. One way to augment sequence-based, single-gene methods to obtain a richer and more reliable picture of the deep past, is to resurrect inferred ancestral protein sequences in living organisms, where their phenotypes can be exposed in a complex molecular-systems context, and to then link consequences of those phenotypes to biosignatures that were preserved in the independent historical repository of the geological record. As a first step beyond single-molecule reconstruction to the study of functional molecular systems, we present here the ancestral sequence reconstruction of the beta-carbonic anhydrase protein. We assess how carbonic anhydrase proteins meet our selection criteria for reconstructing ancient biosignatures in the laboratory, which we term paleophenotype reconstruction.
DOI: 10.6084/m9.figshare.5501521.v1
title: Table S2 from Resurrecting ancestral genes in bacteria to interpret ancient biosignatures

description: Two datasets, the geologic record and the genetic content of extant organisms, provide complementary insights into the history of how key molecular components have shaped or driven global environmental and macroevolutionary trends. Changes in global physico-chemical modes over time are thought to be a consistent feature of this relationship between Earth and life, as life is thought to have been optimizing protein functions for the entirety of its approximately 3.8 billion years of history on the Earth. Organismal survival depends on how well critical genetic and metabolic components can adapt to their environments, reflecting an ability to optimize efficiently to changing conditions. The geologic record provides an array of biologically independent indicators of macroscale atmospheric and oceanic composition, but provides little in the way of the exact behaviour of the molecular components that influenced the compositions of these reservoirs. By reconstructing sequences of proteins that might have been present in ancient organisms, we can downselect to a subset of possible sequences that may have been optimized to these ancient environmental conditions. How can one use modern life to reconstruct ancestral behaviours? Configurations of ancient sequences can be inferred from the diversity of extant sequences, and then resurrected in the laboratory to ascertain their biochemical attributes. One way to augment sequence-based, single-gene methods to obtain a richer and more reliable picture of the deep past, is to resurrect inferred ancestral protein sequences in living organisms, where their phenotypes can be exposed in a complex molecular-systems context, and to then link consequences of those phenotypes to biosignatures that were preserved in the independent historical repository of the geological record. As a first step beyond single-molecule reconstruction to the study of functional molecular systems, we present here the ancestral sequence reconstruction of the beta-carbonic anhydrase protein. We assess how carbonic anhydrase proteins meet our selection criteria for reconstructing ancient biosignatures in the laboratory, which we term paleophenotype reconstruction.
DOI: 10.6084/m9.figshare.5504935
title: Dictionary of common herbs used in traditional Chinese medicine

description: Dictionary of common herbs used in traditional Chinese medicine
DOI: 10.6084/m9.figshare.5504941
title: SQLite database file with extracted herbal formulas and source information

description: SQLite database file with extracted herbal formulas and source information
DOI: 10.6084/m9.figshare.5504944
title: compressed data directory for tcm_lib_search package

description: This compressed file contains the data directory for building the tcm_lib_search package from scratch. This data directory contains the SQLite database file with extracted formulas, variable transformation and logistic regression model for predicting herbal tokens. <br>After obtaining the source of tcm_lib_search package from https://github.com/wang-shuyu/tcm_lib_search/, download the tcm_lib_search-data-v1.0.tar.gz, and decompress them into the data directory. <br>cd tcm_lib_searchtar xfvz tcm_lib_search-data-v1.0.tar.gz
DOI: 10.13145/bacdive5360.20211221.6
title: Enterococcus ureasiticus Sistek et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5361.20211221.6
title: Enterococcus plantarum Švec et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5362.20211221.6
title: Enterococcus lactis Morandi et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5363.20211221.6
title: Bavariicoccus seileri Schmidt 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/bacdive5364.20211221.6
title: Allobaculum stercoricanis Greetham 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/bacdive5365.20211221.6
title: Bulleidia extructa Downes et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5366.20211221.6
title: Catenibacterium mitsuokai Kageyama and Benno 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5367.20211221.6
title: Erysipelothrix rhusiopathiae (Migula 1900) Buchanan 1918

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5368.20211221.6
title: Erysipelothrix rhusiopathiae (Migula 1900) Buchanan 1918

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5369.20211221.6
title: Erysipelothrix rhusiopathiae (Migula 1900) Buchanan 1918

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5370.20211221.6
title: Erysipelothrix rhusiopathiae (Migula 1900) Buchanan 1918

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5371.20211221.6
title: Erysipelothrix tonsillarum Takahashi et al. 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5372.20211221.6
title: Erysipelothrix inopinata Verbarg et al. 2004 emend. Tegtmeier et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5373.20211221.6
title: Holdemania filiformis Willems et al. 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5374.20211221.6
title: Turicibacter sanguinis Bosshard 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/bacdive5375.20211221.6
title: Solobacterium moorei Kageyama and Benno 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5376.20211221.6
title: Sharpea azabuensis Morita et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5377.20211221.6
title: Eggerthia catenaformis (Eggerth 1935) Salvetti et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5378.20211221.6
title: Kandleria vitulina (Sharpe et al. 1973) Salvetti et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5379.20211221.6
title: Sharpea azabuensis Morita et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5380.20211221.6
title: Erythrobacter longus Shiba and Simidu 1982

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5381.20211221.6
title: Erythrobacter litoralis Yurkov et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5382.20211221.6
title: Erythrobacter citreus Denner 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/bacdive5383.20211221.6
title: Erythrobacter gaetbuli Yoon 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/bacdive5384.20211221.6
title: Erythrobacter seohaensis Yoon 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/bacdive5385.20211221.6
title: Erythrobacter flavus Yoon et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5386.20211221.6
title: Erythrobacter vulgaris Ivanova 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/bacdive5387.20211221.6
title: Erythromicrobium ramosum Yurkov et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5388.20211221.6
title: Porphyrobacter neustonensis Fuerst et al. 1993

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5389.20211221.6
title: Porphyrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5390.20211221.6
title: Porphyrobacter cryptus da Costa et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5391.20211221.6
title: Porphyrobacter sanguineus (ex Ahrens and Rheinheimer 1968) Hiraishi 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/bacdive5392.20211221.6
title: Porphyrobacter tepidarius Hanada et al. 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5393.20211221.6
title: Porphyrobacter cryptus da Costa et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5394.20211221.6
title: Porphyrobacter donghaensis Yoon et al. 2004

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.