cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.duvghz
title: Occurrence Download

description: A dataset containing 4084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Anfibios y reptiles de las regiones 30 (Parque Natural Sierra Maderas del Carmen); 31 (Sierra El Burro-Río San Rodrigo); 36 (Sierra La Encantada); y 37 (Sierra El Pino), Coahuila, Anfibios y reptiles de las regiones 30 (Parque Natural Sierra Maderas del Carmen); 31 (Sierra El Burro-Río San Rodrigo); 36 (Sierra La Encantada); y 37 (Sierra El Pino), Coahuila, Arizona State University Herpetology Collection, Computarización de las colecciones de vertebrados terrestres de la Escuela Nacional de Ciencias Biológicas, IPN Fase 4 (Anfibios y reptiles), NMNH Extant Specimen Records (USNM, US), LACM Vertebrate Collection, UTEP Herpetology (Arctos), Herpetofauna del corredor biológico Chichinautzin y la Sierra de Huautla en el estado de Morelos, Anfibios y reptiles del estado de Querétaro, Herpetofauna de las sierras La Candela, Jerez de García Salinas y El Mastrante, Anfibios y reptiles de la Sierra Montenegro-Las Trincheras y el cerro el Chumil, Morelos, Formación de una base de datos y elaboración de un atlas de la herpetofauna de México (Anfibiosreptiles), Inventario herpetofaunístico del noroeste de Hidalgo, Algunas especies de anfibios y reptiles contenidos en el Proyecto de Norma Oficial Mexicana PROY-NOM-059-ECOL-2000, CAS Herpetology (HERP), Fortalecimiento de las colecciones de ECOSUR. Primera fase (Herpetológica San cristóbal), MSB Amphibian and Reptile Collection (Arctos), Computarización de las Colecciones de Anfibios y Reptiles del Centro de Investigaciones Biológicas de la Universidad Autónoma del Estado de Hidalgo)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyla arenicolor Cope, 1866",
 "Year 1970-2025"
 ]
}

 The dataset includes 4084 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000462-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.05727
title: Tuning electrical properties and phase transitions through strain engineering in lead-free ferroelectric K0.5Na0.5NbO3-LiTaO3-CaZrO3 thin films
title: Tuning electrical properties and phase transitions through strain engineering in lead-free ferroelectric K0.5Na0.5NbO3-LiTaO3-CaZrO3 thin films

description: The effects of epitaxial strain on the properties of 0.95(K0.49Na0.49Li0.02)(Ta0.2Nb0.8)O-3-0.05CaZrO(3) (KNNLT-CZ) thin films are investigated. La0.07Sr0.93SnO3 and SrRuO3 are used as bottom electrodes to provide in-plane tensile and compressive stress, respectively. Our results show that the La0.07Sr0.93SnO3-buffered KNNLT-CZ films are mostly strain-relaxed with an orthorhombic (O) and tetragonal (T) mixed phase and a tetragonality of 1.002, which have a twice remnant polarization (2P(r)) of 14.29 mu C/cm(2), an effective piezoelectric strain coefficient (d(33)*) of similar to 60 pm/V, and an O to T phase transition temperature (TO-T) of 140 degrees C, while the SrRuO3-buffered KNNLT-CZ films are only partially strain-relaxed with a pure O phase and a larger tetragonality of 1.011, resulting in an increased 2P(r) value of 33.63 mu C/cm(2), an improved d(33)* value of similar to 80 pm/V, and an enhanced TO-T value of 200 degrees C. Both films show a high Curie temperature above 380 degrees C and stable hysteresis loops from room temperature to 225 degrees C. These results highlight the feasibility to improve the performance of KNN-based materials via epitaxial strain.
description: The effects of epitaxial strain on the properties of 0.95(K0.49Na0.49Li0.02)(Ta0.2Nb0.8)O-3-0.05CaZrO(3) (KNNLT-CZ) thin films are investigated. La0.07Sr0.93SnO3 and SrRuO3 are used as bottom electrodes to provide in-plane tensile and compressive stress, respectively. Our results show that the La0.07Sr0.93SnO3-buffered KNNLT-CZ films are mostly strain-relaxed with an orthorhombic (O) and tetragonal (T) mixed phase and a tetragonality of 1.002, which have a twice remnant polarization (2P(r)) of 14.29 mu C/cm(2), an effective piezoelectric strain coefficient (d(33)*) of similar to 60 pm/V, and an O to T phase transition temperature (TO-T) of 140 degrees C, while the SrRuO3-buffered KNNLT-CZ films are only partially strain-relaxed with a pure O phase and a larger tetragonality of 1.011, resulting in an increased 2P(r) value of 33.63 mu C/cm(2), an improved d(33)* value of similar to 80 pm/V, and an enhanced TO-T value of 200 degrees C. Both films show a high Curie temperature above 380 degrees C and stable hysteresis loops from room temperature to 225 degrees C. These results highlight the feasibility to improve the performance of KNN-based materials via epitaxial strain.
DOI: 10.57760/sciencedb.05724
title: The original data and results of MATLAB calculation
title: MATLAB计算原始数据及结果

description: original data; code and results of matlab caculation
description: original data; code and results of matlab caculation
DOI: 10.57760/sciencedb.05729
title: Maintenance strategy design for nuclear reactors safety systems using a constraint particle swarm evolutionary methodology
title: Maintenance strategy design for nuclear reactors safety systems using a constraint particle swarm evolutionary methodology

description: Nuclear power plants (NPPs) in the world should be equipped with many standby safety systems. To keep standby safety systems at a high level of availability once on demand, most of them are tested and maintained regularly. These test and maintenance activities sometimes are cost-benefit issues. For stakeholders of a NPP, two maintenance strategies are typically desired: 1) for a given budget, the safety systems’ unavailability (i.e., risk) is minimal; or 2) under the premise of meeting a risk threshold, the maintenance cost is minimal. Yet these maintenance strategies are often involved in optimization issues with nonlinear constraints and mixed integers. To solve these issues, in this contribution, an integrated optimization framework based on a constraint particle swarm evolutionary methodology is developed for optimal design of maintenance strategies for NPPs. The main contribution of this work lies in: 1) providing an integrated optimization framework for designing strategies of maintenance for NPPs standby safety systems; 2) handling the problem of mixed integers; 3) dealing with nonlinear constraints. The case study demonstrated that the proposed methodology is more effective than genetic algorithms and can be used as a candidate method for designing maintenance strategies for nuclear reactors standby safety systems in the future.
description: Nuclear power plants (NPPs) in the world should be equipped with many standby safety systems. To keep standby safety systems at a high level of availability once on demand, most of them are tested and maintained regularly. These test and maintenance activities sometimes are cost-benefit issues. For stakeholders of a NPP, two maintenance strategies are typically desired: 1) for a given budget, the safety systems’ unavailability (i.e., risk) is minimal; or 2) under the premise of meeting a risk threshold, the maintenance cost is minimal. Yet these maintenance strategies are often involved in optimization issues with nonlinear constraints and mixed integers. To solve these issues, in this contribution, an integrated optimization framework based on a constraint particle swarm evolutionary methodology is developed for optimal design of maintenance strategies for NPPs. The main contribution of this work lies in: 1) providing an integrated optimization framework for designing strategies of maintenance for NPPs standby safety systems; 2) handling the problem of mixed integers; 3) dealing with nonlinear constraints. The case study demonstrated that the proposed methodology is more effective than genetic algorithms and can be used as a candidate method for designing maintenance strategies for nuclear reactors standby safety systems in the future.
DOI: 10.57760/sciencedb.07378
title: Characterization of an alternative BAK-binding site for BH3 peptides
title: BH3小肽结合BAK的新位点

description: The data includes western, flow, NMR.
description: The data includes western, flow, NMR.
DOI: 10.57760/sciencedb.05730
title: A fiber-optic analog isolator of up to 10 MHz bandwidth
title: A fiber-optic analog isolator of up to 10 MHz bandwidth

description: The electromagnetic interference (EMI) around the Experimental Advanced Superconducting Tokamak (EAST) device is very harsh during plasma discharge experiment. In order to reduce the effect of EMI and enhance signal to noise ratio (SNR), a fiber-optic high speed isolator has been designed. Each channel of the isolator has a transmitter unit connected via fiber-optic cable to the receiver unit. A transmitter unit consists of a 6th order Bessel low-pass anti-aliasing filter, an analog-to-digital converter (ADC), a Field Programmable Gate Array (FPGA), a serializer and an optical transceiver, while a receiver unit comprises an optical transceiver, a deserializer, a FPGA, a digital–to-analog converter (DAC) and a 6th order Bessel low-pass filter. Data from the ADC is serialized by the serializer using 8B/10B encoding before transmission, and 10B/8B decoding was used by the deserializer in the receiver unit. A prototype of this isolator has been realized and tested. The test results show that the transmission bandwidth of analog signal is up to 10 MHz, the transmission delay is typically 500 ns, the transmission distance is up to 250 m and the output noise is less than 5 mV, which can meet the requirements of EAST experimental campaigns.
description: The electromagnetic interference (EMI) around the Experimental Advanced Superconducting Tokamak (EAST) device is very harsh during plasma discharge experiment. In order to reduce the effect of EMI and enhance signal to noise ratio (SNR), a fiber-optic high speed isolator has been designed. Each channel of the isolator has a transmitter unit connected via fiber-optic cable to the receiver unit. A transmitter unit consists of a 6th order Bessel low-pass anti-aliasing filter, an analog-to-digital converter (ADC), a Field Programmable Gate Array (FPGA), a serializer and an optical transceiver, while a receiver unit comprises an optical transceiver, a deserializer, a FPGA, a digital–to-analog converter (DAC) and a 6th order Bessel low-pass filter. Data from the ADC is serialized by the serializer using 8B/10B encoding before transmission, and 10B/8B decoding was used by the deserializer in the receiver unit. A prototype of this isolator has been realized and tested. The test results show that the transmission bandwidth of analog signal is up to 10 MHz, the transmission delay is typically 500 ns, the transmission distance is up to 250 m and the output noise is less than 5 mV, which can meet the requirements of EAST experimental campaigns.
DOI: 10.15468/dl.jsrrdj
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-96.14723 -7.75579,-59.85277 -7.75579,-59.85277 6.75579,-96.14723 6.75579,-96.14723 -7.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, b542788f-0dc2-4a2b-b652-fceced449591, 87a78f75-b63e-4c3e-9ecf-7557e13f090e, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46, 715f7f6c-ddcd-4d41-a836-e89e4d868391, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, ae447c50-b8a8-11d8-92a4-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, c4cbb860-e9c7-11da-8113-b8a03c50a862)",
 "TaxonKey is Croton elegans Kunth"
 ]
}

 The dataset includes 46 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000492-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.05733
title: Simulation data and experimental data of complex water environment
title: 复杂水体环境仿真数据与实验数据

description: The data is composed of simulation original data and experimental original data
description: The data is composed of simulation original data and experimental original data
DOI: 10.57760/sciencedb.05732
title: Systematic expression analysis of WEE family kinases reveals the importance of PKMYT1 in breast carcinogenesis
title: 通过对WEE家族激酶的系统表达分析，揭示了PKMYT1在乳腺癌发生中的重要性

description: In this study, we used a set of bioinformatic tools to jointly analyse the expression of WEE family kinases and investigate the prognostic value of PKMYT1 in breast cancer.
description: In this study, we used a set of bioinformatic tools to jointly analyse the expression of WEE family kinases and investigate the prognostic value of PKMYT1 in breast cancer.
DOI: 10.57760/sciencedb.07415
title: AURKA rs2273535 T&gt;A Polymorphism Associated With Cancer Risk: A Systematic Review With Meta-Analysis
title: AURKA rs2273535 T&gt;A Polymorphism Associated With Cancer Risk: A Systematic Review With Meta-Analysis

description: Aurora kinase A (AURKA) is a cell cycle regulatory serine/threonine kinase that promotes cell cycle progression. It plays an important role in regulating the transition from G2 to M phase during mitosis. The association between the AURKA rs2273535 T&gt;A polymorphism and cancer risk has been investigated, but the results remain inconsistent. To get a more accurate conclusion, we conducted a comprehensive meta-analysis of 36 case-control studies, involving 22,884 cancer cases and 30,497 healthy controls. Crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to determine the association of interest. Pooled analysis indicated that the AURKA rs2273535 T&gt;A polymorphism increased the overall risk of cancer (homozygous: OR = 1.17, 95% CI = 1.04-1.33; recessive: OR = 1.15, 95% CI = 1.05-1.25; allele: OR = 1.07, 95% CI = 1.02-1.13). Stratification analysis by cancer type further showed that this polymorphism was associated with an increased breast cancer risk. This meta-analysis indicated that the AURKA rs2273535 T&gt;A polymorphism was associated with an overall increased cancer risk, especially breast cancer. Further validation experiments are needed to strengthen our conclusion.
description: Aurora kinase A (AURKA) is a cell cycle regulatory serine/threonine kinase that promotes cell cycle progression. It plays an important role in regulating the transition from G2 to M phase during mitosis. The association between the AURKA rs2273535 T&gt;A polymorphism and cancer risk has been investigated, but the results remain inconsistent. To get a more accurate conclusion, we conducted a comprehensive meta-analysis of 36 case-control studies, involving 22,884 cancer cases and 30,497 healthy controls. Crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to determine the association of interest. Pooled analysis indicated that the AURKA rs2273535 T&gt;A polymorphism increased the overall risk of cancer (homozygous: OR = 1.17, 95% CI = 1.04-1.33; recessive: OR = 1.15, 95% CI = 1.05-1.25; allele: OR = 1.07, 95% CI = 1.02-1.13). Stratification analysis by cancer type further showed that this polymorphism was associated with an increased breast cancer risk. This meta-analysis indicated that the AURKA rs2273535 T&gt;A polymorphism was associated with an overall increased cancer risk, especially breast cancer. Further validation experiments are needed to strengthen our conclusion.
DOI: 10.15468/dl.ruyt75
title: Occurrence Download

description: A dataset containing 8339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippopotamus amphibius Linnaeus, 1758",
 "Year 1990-2025"
 ]
}

 The dataset includes 8339 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000467-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.05735
title: A New Analog Integrator for Magnetic Diagnostics on EAST
title: A New Analog Integrator for Magnetic Diagnostics on EAST

description: A new kind of analog integrator has been developed for Magnetic diagnostics (MDs) on Experimental Advanced Superconducting Tokamak (EAST). While previous analog integrators are single-ended input, which has low common mode rejection ration (CMRR), a kind of difference integrator is introduced which has the same structure as the standard difference amplifier. The linear drift compensation method is used for determining the effective drift slope, then the plasma control system (PCS) use the drift slope to rectify the integration signal in real time. To improve the maintainability and testability of the integrator system, a new integrator controller was developed, which uses an ARM micro-controller and the lightweight IP protocol stack to realize the network control. The tests show that the upgraded integrator works well, its CMRR is high up to 125 dB when the common voltage is 1.5 V, and the processed integration drift is about 200 uVs /1000 s, which is much better than the previous integrator.
description: A new kind of analog integrator has been developed for Magnetic diagnostics (MDs) on Experimental Advanced Superconducting Tokamak (EAST). While previous analog integrators are single-ended input, which has low common mode rejection ration (CMRR), a kind of difference integrator is introduced which has the same structure as the standard difference amplifier. The linear drift compensation method is used for determining the effective drift slope, then the plasma control system (PCS) use the drift slope to rectify the integration signal in real time. To improve the maintainability and testability of the integrator system, a new integrator controller was developed, which uses an ARM micro-controller and the lightweight IP protocol stack to realize the network control. The tests show that the upgraded integrator works well, its CMRR is high up to 125 dB when the common voltage is 1.5 V, and the processed integration drift is about 200 uVs /1000 s, which is much better than the previous integrator.
DOI: 10.57760/sciencedb.05737
title: Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning
title: Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning

description: Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentially methylated regions (DMR) of cfDNA between lung tumors and normal controls. Based on the top 300 DMR, we built a random forest prediction model, which was able to distinguish malignant lung tumors from normal controls with high sensitivity and specificity of 91.0% and 93.3% (AUROC curve of 0.963). In summary, we reported a non–invasive prediction model that had good ability to distinguish malignant pulmonary nodules.
description: Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentially methylated regions (DMR) of cfDNA between lung tumors and normal controls. Based on the top 300 DMR, we built a random forest prediction model, which was able to distinguish malignant lung tumors from normal controls with high sensitivity and specificity of 91.0% and 93.3% (AUROC curve of 0.963). In summary, we reported a non–invasive prediction model that had good ability to distinguish malignant pulmonary nodules.
DOI: 10.57760/sciencedb.05738
title: Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network
title: Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network

description: The fast and efficient fault diagnosis is the key to guarantee uninterrupted working of facilities, which is more frugal and trustworthy than scheduled upkeep. At present, data acquisition and fault diagnosis based on a variety of sensors have become an indispensable means for manufacturing enterprises. However, through the independent analysis of all kinds of sensor data, the traditional analysis method fails to make full use of the interrelationship between data sources. A new feature fusion approach that is based on Convolutional Neural Network (CNN) is put forward in this study for rotating machinery fault diagnosis. For multi-source data, some data sources are extracted with empirical features and others are extracted with hidden features. CNN is adopted to obtain the recessive features of complex signal waveform, such as acceleration, displacement, etc. The fusion of statistical features and recessive features is a new set of features and is input into Light Gradient Boosting Machine (LightGBM) model. The stator and rotor fault experiment is designed and implemented to verify the advantages of the proposed method. Compared with the traditional approaches, this method is 3% more accurate or at least 4 times faster than the traditional method under the same conditions.
description: The fast and efficient fault diagnosis is the key to guarantee uninterrupted working of facilities, which is more frugal and trustworthy than scheduled upkeep. At present, data acquisition and fault diagnosis based on a variety of sensors have become an indispensable means for manufacturing enterprises. However, through the independent analysis of all kinds of sensor data, the traditional analysis method fails to make full use of the interrelationship between data sources. A new feature fusion approach that is based on Convolutional Neural Network (CNN) is put forward in this study for rotating machinery fault diagnosis. For multi-source data, some data sources are extracted with empirical features and others are extracted with hidden features. CNN is adopted to obtain the recessive features of complex signal waveform, such as acceleration, displacement, etc. The fusion of statistical features and recessive features is a new set of features and is input into Light Gradient Boosting Machine (LightGBM) model. The stator and rotor fault experiment is designed and implemented to verify the advantages of the proposed method. Compared with the traditional approaches, this method is 3% more accurate or at least 4 times faster than the traditional method under the same conditions.
DOI: 10.57760/sciencedb.07384
title: An ultra-long circulating nanoparticle for reviving a highly selective BCRABL inhibitor in long-term effective and safe treatment of chronic myeloid leukemia
title: 一种超长循环纳米颗粒，用于恢复高选择性BCRABL抑制剂，长期有效且安全地治疗慢性髓系白血病

description: NMRSize and Zeta Potential (DLS and TEM)PK datasDrug deliveryGPCBlood analysisBiodistributionXenograft and engraftment model
description: NMRSize and Zeta Potential (DLS and TEM)PK datasDrug deliveryGPCBlood analysisBiodistributionXenograft and engraftment model