cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.03141
title: Recognition of Waterborne Pathogens Based on Spectral Similarity Analysis
title: 基于光谱相似性分析的水体致病菌种类识别方法

description: The data set includes the data of (1) multiwavelength transmission spectra and sum normalization spectrum of Escherichia coli with different concentrations, (2) multiwavelength transmission spectra and sum normalization spectrum of Klebsiella pneumoniae with different concentrations, (3) multiwavelength transmission spectra and sum normalization spectrum of Staphylococcus aureus with different concentration, (4) multiwavelength transmission spectra and sum normalization spectrum of Salmonella typhimurium with different concentrations, (5) results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (low concentration), (6) results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (high concentration), (7) comparison of recognition results of joint similarity and single similarity (low concentration), (8) comparison of recognition results of joint similarity and single similarity (high concentration).
description: The data set includes the data of (1) multiwavelength transmission spectra and sum normalization spectrum of Escherichia coli with different concentrations, (2) multiwavelength transmission spectra and sum normalization spectrum of Klebsiella pneumoniae with different concentrations, (3) multiwavelength transmission spectra and sum normalization spectrum of Staphylococcus aureus with different concentration, (4) multiwavelength transmission spectra and sum normalization spectrum of Salmonella typhimurium with different concentrations, (5) results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (low concentration), (6) results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (high concentration), (7) comparison of recognition results of joint similarity and single similarity (low concentration), (8) comparison of recognition results of joint similarity and single similarity (high concentration).
DOI: 10.57760/sciencedb.03142
title: Self-Cycling Free Radical Generator from LDH-Based Nanohybrids for Ferroptosis-Enhanced Chemodynamic Therapy
title: Self-Cycling Free Radical Generator from LDH-Based Nanohybrids for Ferroptosis-Enhanced Chemodynamic Therapy

description: Nonapoptotic ferroptosis has been a novel form ofprogrammed cell death, which provides a new solution to enrich the anticancer treatment efficacy of traditional apoptotic therapeutic modality. Herein, a novel nanohybrid is designed by loading the PEG-encapsulated Artemisinin (denoted as A@P) on the ultrathin MgFe-LDH nanosheets (denoted as uLDHs) for improved chemodynamic therapy (CDT). The A@P/uLDHs cannot only realize the self-assembly between the Art and carrier but also be regarded as free radical generator. A comprehensive mechanistic study suggests that this unique A@P/uLDHs is able to in situ activate Art and self-cycling generate toxic C-centered free radical inside the cancer cells, without depending on abundant H2O2, accompanied with diminished cancerous antioxidation by depleting glutathione (GSH). The accumulation ofROS and depletion ofGSH can further oxidize unsaturated fatty acid to generate lipid peroxide, whose overexpression can induce cell ferroptosis accompanied by cellular iron homeostasis turbulence. Both in vitro and in vivo results exhibit that A@P/uLDHs are an efficient nanoagent for highly efficient ferroptosis-enhanced CDT treatment. This work imparts the promising new visions about the ferroptosis-enhanced CDT via fine regulation ofmaterial design for improved cancer treatments.
description: Nonapoptotic ferroptosis has been a novel form ofprogrammed cell death, which provides a new solution to enrich the anticancer treatment efficacy of traditional apoptotic therapeutic modality. Herein, a novel nanohybrid is designed by loading the PEG-encapsulated Artemisinin (denoted as A@P) on the ultrathin MgFe-LDH nanosheets (denoted as uLDHs) for improved chemodynamic therapy (CDT). The A@P/uLDHs cannot only realize the self-assembly between the Art and carrier but also be regarded as free radical generator. A comprehensive mechanistic study suggests that this unique A@P/uLDHs is able to in situ activate Art and self-cycling generate toxic C-centered free radical inside the cancer cells, without depending on abundant H2O2, accompanied with diminished cancerous antioxidation by depleting glutathione (GSH). The accumulation ofROS and depletion ofGSH can further oxidize unsaturated fatty acid to generate lipid peroxide, whose overexpression can induce cell ferroptosis accompanied by cellular iron homeostasis turbulence. Both in vitro and in vivo results exhibit that A@P/uLDHs are an efficient nanoagent for highly efficient ferroptosis-enhanced CDT treatment. This work imparts the promising new visions about the ferroptosis-enhanced CDT via fine regulation ofmaterial design for improved cancer treatments.
DOI: 10.57760/sciencedb.03150
title: Highly efficient vacancy-driven photothermal therapy mediated by ultrathin MnO2 nanosheet
title: Highly efficient vacancy-driven photothermal therapy mediated by ultrathin MnO2 nanosheet

description: In medical applications, two-dimensional nanomaterials have been widely studied on account of their intriguing properties such as good biocompatibility, stability, and multifunctionality. Herein, an ultrathin MnO2 nanosheet has been fabricated by a simplistic hydrothermal process. The high photothermal conversion performance (62.4%) can be attributed to the vacancy in the ultrathin MnO2 nanosheet, as confirmed by the extended Xray absorption fine structure results and the density functional theory calculation, benefiting photoacoustic imaging-guided cancer therapy. This highly efficient vacancy-induced photothermal therapy has been reported for the first time. As a result, this work demonstrates that this ultrathin MnO2 nanosheet has a potential to construct a nanosystem for imaging-guided cancer therapy.
description: In medical applications, two-dimensional nanomaterials have been widely studied on account of their intriguing properties such as good biocompatibility, stability, and multifunctionality. Herein, an ultrathin MnO2 nanosheet has been fabricated by a simplistic hydrothermal process. The high photothermal conversion performance (62.4%) can be attributed to the vacancy in the ultrathin MnO2 nanosheet, as confirmed by the extended Xray absorption fine structure results and the density functional theory calculation, benefiting photoacoustic imaging-guided cancer therapy. This highly efficient vacancy-induced photothermal therapy has been reported for the first time. As a result, this work demonstrates that this ultrathin MnO2 nanosheet has a potential to construct a nanosystem for imaging-guided cancer therapy.
DOI: 10.57760/sciencedb.03151
title: Vacancy-enhanced generation of singlet oxygen for photodynamic therapy
title: Vacancy-enhanced generation of singlet oxygen for photodynamic therapy

description: Oxygen vacancy (OV) engineering in semiconductors can greatly enhance the separation of photo-induced electron–hole pairs, thereby enhancing the photocatalytic activity. Taking inspiration from this, we prepared a novel BiOBr–H/Rub2d composite by functionalizing OV-rich BiOBr (named BiOBr–H) with a carboxyl functionalized ruthenium photosensitizer (Ru(bpy)2C-pyCl2, abbreviated as Rub2d), which was then successfully applied for photodynamic therapy (PDT). Density functional theory (DFT) calculations confirmed efficient electron transfer from the Rub2d complex to the intermediate energy level of BiOBr– H under visible light irradiation. In vitro and in vivo studies demonstrated that BiOBr–H/Rub2d was a superior agent for photodynamic therapy compared with the free ruthenium complex. The theoretical and experimental data presented thus reveal for the first time that abundant OVs in BiOBr–H can significantly improve the photocatalytic activity of a photosensitizer, resulting in the generation of more reactive oxygen species to enhance PDT. The findings of this study thus offer a new strategy for the development of highly efficient cancer therapies.
description: Oxygen vacancy (OV) engineering in semiconductors can greatly enhance the separation of photo-induced electron–hole pairs, thereby enhancing the photocatalytic activity. Taking inspiration from this, we prepared a novel BiOBr–H/Rub2d composite by functionalizing OV-rich BiOBr (named BiOBr–H) with a carboxyl functionalized ruthenium photosensitizer (Ru(bpy)2C-pyCl2, abbreviated as Rub2d), which was then successfully applied for photodynamic therapy (PDT). Density functional theory (DFT) calculations confirmed efficient electron transfer from the Rub2d complex to the intermediate energy level of BiOBr– H under visible light irradiation. In vitro and in vivo studies demonstrated that BiOBr–H/Rub2d was a superior agent for photodynamic therapy compared with the free ruthenium complex. The theoretical and experimental data presented thus reveal for the first time that abundant OVs in BiOBr–H can significantly improve the photocatalytic activity of a photosensitizer, resulting in the generation of more reactive oxygen species to enhance PDT. The findings of this study thus offer a new strategy for the development of highly efficient cancer therapies.
DOI: 10.57760/sciencedb.03153
title: Normalization of Quantitative Analysis for Bacteria Multi-Wavelength Transmission Spectroscopy in Water
title: 水体细菌微生物多波长透射光谱定量分析归一化方法研究

description: The data set includes the following data of (1) transmission spectra of Escherichia coli suspension with three concentrations, (2) measured and calculated optical density of spectrum 1 after particle concentration normalization, and concentration fitting curves of three different transmission spectra, (3) measured and calculated optical density of spectrum 1 after maximum normalization, and concentration fitting curves of three different transmission spectra, (4) measured and calculated optical density of spectrum 1 after integral normalization, and concentration fitting curves of three different transmission spectra, (5) measured and calculated optical density of spectrum 1 after average normalization, and concentration fitting curves of three different transmission spectra, (6) Structural parameters of Escherichia coli obtained with the inversion of different normalization transmission spectra, (7) concentrations obtained with four normalization methods and serial dilution plate counting method.
description: The data set includes the following data of (1) transmission spectra of Escherichia coli suspension with three concentrations, (2) measured and calculated optical density of spectrum 1 after particle concentration normalization, and concentration fitting curves of three different transmission spectra, (3) measured and calculated optical density of spectrum 1 after maximum normalization, and concentration fitting curves of three different transmission spectra, (4) measured and calculated optical density of spectrum 1 after integral normalization, and concentration fitting curves of three different transmission spectra, (5) measured and calculated optical density of spectrum 1 after average normalization, and concentration fitting curves of three different transmission spectra, (6) Structural parameters of Escherichia coli obtained with the inversion of different normalization transmission spectra, (7) concentrations obtained with four normalization methods and serial dilution plate counting method.
DOI: 10.57760/sciencedb.03156
title: Photogenerated-hole-induced rapid elimination of solid tumors by the supramolecular porphyrin photocatalyst
title: Photogenerated-hole-induced rapid elimination of solid tumors by the supramolecular porphyrin photocatalyst

description: Te rapid, complete, targeted and safe treatment for tumors remains a key issue in cancer therapy. A noveltreatment of solid tumors by supramolecular photocatalyst Nano-SA-TCPP with the irradiation of600–700 nm wavelength is established. Solid tumors (100 mm3) can be eliminated within 10 min. Te50-day mouse survival rate was increased from 0% to 100% afer the photocatalytic therapy. Tebreakthrough was owing to the cell membrane rupture and the cytoplasmic loss caused by photogeneratedholes inside cancer cells. Te porphyrin-based photocatalysts can be internalized in a targeted manner bycancer cells due to the size selection eﬀect, without entering the normal cells. Te therapy has no toxicity orside eﬀects for normal cells and organisms. Moreover, the photocatalytic therapy is eﬀective for a variety ofcancer cell lines. Because of its high efciency, safety and universality, the photocatalytic therapy providesus with a new lancet to conquer the tumor.
description: Te rapid, complete, targeted and safe treatment for tumors remains a key issue in cancer therapy. A noveltreatment of solid tumors by supramolecular photocatalyst Nano-SA-TCPP with the irradiation of600–700 nm wavelength is established. Solid tumors (100 mm3) can be eliminated within 10 min. Te50-day mouse survival rate was increased from 0% to 100% afer the photocatalytic therapy. Tebreakthrough was owing to the cell membrane rupture and the cytoplasmic loss caused by photogeneratedholes inside cancer cells. Te porphyrin-based photocatalysts can be internalized in a targeted manner bycancer cells due to the size selection eﬀect, without entering the normal cells. Te therapy has no toxicity orside eﬀects for normal cells and organisms. Moreover, the photocatalytic therapy is eﬀective for a variety ofcancer cell lines. Because of its high efciency, safety and universality, the photocatalytic therapy providesus with a new lancet to conquer the tumor.
DOI: 10.57760/sciencedb.03158
title: Highly efficient photothermal heating via distorted edge-defects in boron quantum dots
title: Highly efficient photothermal heating via distorted edge-defects in boron quantum dots

description: Quantum dots (QDs) are increasingly being utilized as near infrared (NIR) active photothermal agents for cancer diagnosis and therapy, with the main emphasis of current research being the enhancement of photothermal conversion efficiencies. Herein, we report the facile synthesis of 2–3 nm boron quantum dots (B QDs), which demonstrated a remarkable photothermal conversion efficiency of 57% under NIR excitation. This outstanding performance can be attributed to the alteration of the electronic structure, which was a result from the distorted edge-effect induced by the unique empty orbit of B atoms in the B QDs. These results can be verified by B K-edge near edge X-ray absorption fine structure (NEXAFS), high-resolution transmission electron microscopy (HR-TEM) and density functional theory (DFT) calculations. The results demonstrate that B QDs represent a promising new and non-toxic agent for both multimodal NIR-driven cancer imaging and photothermal therapy. This work thus identifies B QDs as an exciting new and theranostic agent for cancer therapy. Furthermore, the synthetic strategy used here to synthesize the B QDs was simple and easily scalable.
description: Quantum dots (QDs) are increasingly being utilized as near infrared (NIR) active photothermal agents for cancer diagnosis and therapy, with the main emphasis of current research being the enhancement of photothermal conversion efficiencies. Herein, we report the facile synthesis of 2–3 nm boron quantum dots (B QDs), which demonstrated a remarkable photothermal conversion efficiency of 57% under NIR excitation. This outstanding performance can be attributed to the alteration of the electronic structure, which was a result from the distorted edge-effect induced by the unique empty orbit of B atoms in the B QDs. These results can be verified by B K-edge near edge X-ray absorption fine structure (NEXAFS), high-resolution transmission electron microscopy (HR-TEM) and density functional theory (DFT) calculations. The results demonstrate that B QDs represent a promising new and non-toxic agent for both multimodal NIR-driven cancer imaging and photothermal therapy. This work thus identifies B QDs as an exciting new and theranostic agent for cancer therapy. Furthermore, the synthetic strategy used here to synthesize the B QDs was simple and easily scalable.
DOI: 10.57760/sciencedb.03160
title: Growth Stages Characteristic Parameters of Bacteria in Water Based on Multi-Wavelength Transmission Spectra
title: 基于多波长透射光谱的水体细菌生长阶段特征参数反演研究

description: The data set includes the data of (1) Optical density of Escherichia coli in water at 600 nm versus time, (2) Normalized spectra of Escherichia coli suspension at different growth stages, (3) Changes of average size and the internal average size of Escherichia coli cells in water versus time, (4) Bacteria concentration versus time, (5) Absorption coefficients of total nucleic acid, chromophoric amino acids, and dipicolinic acid in microorganism, (5) Total content of nucleotides in suspensions of Escherichia coli versus time and average content of nucleotides per cell of Escherichia coli versus time.
description: The data set includes the data of (1) Optical density of Escherichia coli in water at 600 nm versus time, (2) Normalized spectra of Escherichia coli suspension at different growth stages, (3) Changes of average size and the internal average size of Escherichia coli cells in water versus time, (4) Bacteria concentration versus time, (5) Absorption coefficients of total nucleic acid, chromophoric amino acids, and dipicolinic acid in microorganism, (5) Total content of nucleotides in suspensions of Escherichia coli versus time and average content of nucleotides per cell of Escherichia coli versus time.
DOI: 10.6084/m9.figshare.24100680.v3
title: Calculating Disruption Indices at scale with Dimensions - Supplementary Materials

description: This repository contains the Jupyter notebooks and SQL queries for Dimensions on Google BigQuery<br>related to the publication "Dimensions: Calculating Disruption Indices at Scale", M. Pasin & J. Sixt, 2023.<b>ABSTRACT of the related publication:</b>Evaluating the disruptive nature of academic ideas is a new area of research evaluation that moves beyond standard citation-based metrics by taking into account the broader citation context of publications or patents. The "CD index" and a number of related indicators have been proposed in order to characterise mathematically the disruptiveness of scientific publications or patents. This research area has generated a lot of attention in recent years, yet there is no general consensus on the significance and reliability of disruption indices. More experimentation and evaluation would be desirable, however is hampered by the fact that these indicators are expensive and time-consuming to calculate, especially if done at scale on large citation networks. We present a novel method to calculate disruption indices that leverages the Dimensions cloud-based research infrastructure and reduces the computational time taken to produce such indices by an order of magnitude, as well as making available such functionalities within an online environment that requires no set-up efforts. We explain the novel algorithm and describe how its results align with preexisting implementations of disruption indicators. This method will enable researchers to develop, validate and improve mathematical disruption models more quickly and with more precision, thus contributing to the development of this new research area.
DOI: 10.6084/m9.figshare.24100680.v2
title: Calculating Disruption Indices at scale with Dimensions - Supplementary Materials

description: This repository contains the Jupyter notebooks and SQL queries for Dimensions on Google BigQuery<br>related to the publication "Dimensions: Calculating Disruption Indices at Scale", M. Pasin & J. Sixt, 2023.<b>ABSTRACT of the related publication:</b>Evaluating the disruptive nature of academic ideas is a new area of research evaluation that moves beyond standard citation-based metrics by taking into account the broader citation context of publications or patents. The "CD index" and a number of related indicators have been proposed in order to characterise mathematically the disruptiveness of scientific publications or patents. This research area has generated a lot of attention in recent years, yet there is no general consensus on the significance and reliability of disruption indices. More experimentation and evaluation would be desirable, however is hampered by the fact that these indicators are expensive and time-consuming to calculate, especially if done at scale on large citation networks. We present a novel method to calculate disruption indices that leverages the Dimensions cloud-based research infrastructure and reduces the computational time taken to produce such indices by an order of magnitude, as well as making available such functionalities within an online environment that requires no set-up efforts. We explain the novel algorithm and describe how its results align with preexisting implementations of disruption indicators. This method will enable researchers to develop, validate and improve mathematical disruption models more quickly and with more precision, thus contributing to the development of this new research area.
DOI: 10.15468/dl.uus7az
title: Occurrence Download

description: A dataset containing 200690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rugosa Thunb."
 ]
}

 The dataset includes 200690 records from 613 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077387-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mta7uc
title: Occurrence Download

description: A dataset containing 2167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "Country is China"
 ]
}

 The dataset includes 2167 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077466-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phjsht
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ginkgo biloba L."
 ]
}

 The dataset includes 445 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077469-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzrwp8
title: Occurrence Download

description: A dataset containing 902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alternanthera flavescens (Mart.) Kunth)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 902 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077471-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11634925
title: CausalBench A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models

description: CausalBench is a comprehensive benchmark dataset designed to evaluate the causal reasoning capabilities of large language models. The primary uses of this dataset include, but are not limited to:

- Testing the performance of large language models on causal reasoning tasks

- Serving as a benchmark dataset for causal reasoning research

- Improving and developing new causal reasoning algorithms and models