cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8356445
title: Hydrothermal activity within a sedimentary succession: aragonites as indicators of Mesozoic Rifting (Iberian Basin, Spain).

description: Pseudo-hexagonal aragonite crystals occur profusely at various locations within the Upper Triassic sequences in Europe, America and Africa. In the Spanish Iberian Basin, they are associated with corrensite and gypsum, which characterize saline mudflat and salt-pond facies. Similarly, shaped crystals occur as dolomite, quartz, chalcedony or even copper pseudomorphs after aragonite in several parts of North and South America, and they are currently forming in association with hydrothermal spring deposits in Kenya. In Spain, this aragonite was first described at Molina de Aragón (Spain). Its origin has previously been explained as resulting from burial diagenetic processes, although petrographical, geochemical, stable isotope, and fluid inclusion evidence suggest a formation in other conditions. The aragonite crystals occur dominantly at locations near outcrops of pre-Hettangian alkaline magmatism, along Middle-to-Late Jurassic NW-SE faults. The formation of these aragonite crystals is interpreted as the result of upwards flow of hydrothermal fluids through the Middle-to-Late Jurassic synrift faults and the interaction with infiltrated shallow marine water. This hydrothermal circulation caused also the transformation of Mg-rich clay into corrensite. The pseudomorphs after aragonite found in other areas of the world appear related to sequences of similar depositional environments and interaction of magmatic intrusions within rifting settings. Such aragonite crystals may therefore help to unravel the geological and tectonic history in their area of occurrence.
DOI: 10.6084/m9.figshare.8356445.v1
title: Hydrothermal activity within a sedimentary succession: aragonites as indicators of Mesozoic Rifting (Iberian Basin, Spain).

description: Pseudo-hexagonal aragonite crystals occur profusely at various locations within the Upper Triassic sequences in Europe, America and Africa. In the Spanish Iberian Basin, they are associated with corrensite and gypsum, which characterize saline mudflat and salt-pond facies. Similarly, shaped crystals occur as dolomite, quartz, chalcedony or even copper pseudomorphs after aragonite in several parts of North and South America, and they are currently forming in association with hydrothermal spring deposits in Kenya. In Spain, this aragonite was first described at Molina de Aragón (Spain). Its origin has previously been explained as resulting from burial diagenetic processes, although petrographical, geochemical, stable isotope, and fluid inclusion evidence suggest a formation in other conditions. The aragonite crystals occur dominantly at locations near outcrops of pre-Hettangian alkaline magmatism, along Middle-to-Late Jurassic NW-SE faults. The formation of these aragonite crystals is interpreted as the result of upwards flow of hydrothermal fluids through the Middle-to-Late Jurassic synrift faults and the interaction with infiltrated shallow marine water. This hydrothermal circulation caused also the transformation of Mg-rich clay into corrensite. The pseudomorphs after aragonite found in other areas of the world appear related to sequences of similar depositional environments and interaction of magmatic intrusions within rifting settings. Such aragonite crystals may therefore help to unravel the geological and tectonic history in their area of occurrence.
DOI: 10.57841/casdc.0002685
title: 60kW熔盐加热的自由活塞热声发电功率及效率实验测试
DOI: 10.23708/zjtsdi
title: Modified nest architecture and increased bioturbation in response to rise in temperature. A laboratory experiment with the ant species Lasius niger

description: Ants are one of the most significant bioturbators and they are likely to be affected by the current worldwide increase in temperatures, hence there could be a cascading effect on their contributions to soil functioning. Data presented here correspond to an experimental work under controlled laboratory conditions, that aimed to investigate the effects of increased surface temperatures on ants’ nest architecture and its potential as extended plastic phenotype, and further consequences on bioturbation. Data include: 1) weekly excavated humid and dry soil, and water evaporation per column of soil. It includes: a) Identification of columns and weights of tubes at the start of the experiment, and b) humid excavated soil, dry excavated soil, actual weight of the column, calculated weight of the column (all in g), and calculated evaporated water in mL. 2) temperature on the surface of columns of soil where ants built their nests, per hour. Data include a) day and time, b) temperature in °C. 3) underground temperature of columns of soil where ants built their nests, every three hours. Data include a) day and time, b) temperature in °C. 4) nest morphological describers for each column of soil during four dates. Data were obtained from CT-scan images on DICOM format using a combination of Avizo and ImageJ softwares. It includes: a) unitless traits (sphericity, ellipse elevation, number of pores, Euler number, gamma, tortuosity); b) traits in mm (biggest ball radius, centroid Z, chamber thickness, tunnels thickness) ; c) traits in mm3 (total volume, tunnels volume, chambers volume, refilled volume); d) traits in percentage (tunnels volume, chambers volume, refilled volume). 5) profile of porosity of full nests in the column of soil. Data were obtained from the same CT-scan images and include slice (image) and its depth in mm, area of the pore and of the matrix in pixels, and percentage of pore area compared to total matrix area. 6) profile of porosity of refilled chambers in the column of soil. Data include slice (image) and its depth in mm, area of the refilled chamber and of the matrix in pixels, and percentage of refilled area compared to total matrix area. 7) number of workers during the experiment. Data includes number of individuals on days 0 and 100, number of new workers and percentage on new workers compared to the number of individuals at T100. 8) Size and weight of 10 ants per colony at the end of the experiment. Data include a) traits measured in mm: length of head, Weber’s length (i.e. thorax length), and total length (head + thorax length); b) dry weight measured in mg. Note that, due to methodological constraints, the size and the weight do not correspond to the same individual, and we included them on the same database to facilitate its analyses exclusively.
DOI: 10.57841/casdc.0002686
title: 100kW熔盐加热的自由活塞热声发电功率及效率实验测试
DOI: 10.57841/casdc.0002687
title: 采用DFT计算方法考察石墨烯掺杂的单原子氧还原反应机理及活性数据
DOI: 10.57841/casdc.0002688
title: 铁基双金属框架纳米棒的高效氧还原反应电催化剂研究数据
DOI: 10.57841/casdc.0002689
title: 铁，铜，氮共掺杂碳增强氧还原电催化活性数据
DOI: 10.57841/casdc.0002690
title: 持续时间分布：一种测量高温质子交换膜燃料电池电堆的空气流量分布的方法数据
DOI: 10.57841/casdc.0002691
title: 铜基电化学合成氨催化剂实验数据
DOI: 10.57841/casdc.0002692
title: 润滑油粘度指数改进剂百吨级工艺包数据集
DOI: 10.23708/iel4hy
title: 2.3-beta1 version of TrEMOLO

description: New version of TrEMOLO
DOI: 10.6084/m9.figshare.24278236.v1
title: MVP and ESTER dataset.dta

description: The research focuses on gendered collective action participation among the smallholder households in rural Kenya. It contributes to enhancing gender equality at the local level while addressing socio-economic development objectives among the rural smallholder households.
DOI: 10.6084/m9.figshare.24278236
title: MVP and ESTER dataset.dta

description: The research focuses on gendered collective action participation among the smallholder households in rural Kenya. It contributes to enhancing gender equality at the local level while addressing socio-economic development objectives among the rural smallholder households.
DOI: 10.57841/casdc.0002693
title: 新一代生物基增塑剂乌头酸酯生物化工融合制造关键技术相关实验数据数据集
DOI: 10.6084/m9.figshare.24151848.v1
title: <b>Self-reliant or mother-reliant? Differential germination performances of seeds with or without pericarps in a species-rich alpine meadow</b>

description: Information of the studied 67 flowering plants with their flowering time, seed types, seed mass, the final germination proportion and the mean germination time
DOI: 10.57841/casdc.0002694
title: 钠离子电池电芯性能数据集
DOI: 10.57841/casdc.0002695
title: 钠离子电池系统数据集
DOI: 10.57841/casdc.0002696
title: 调控多级孔状废软木塞基硬碳负极孔结构提升储钠容量论文数据集
DOI: 10.57841/casdc.0002697
title: 无添加剂的自补钠策略用于高性能钠离子电池研究论文数据集
DOI: 10.34740/kaggle/dsv/6654899
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6654900
title: OnlineFree
DOI: 10.57841/casdc.0002698
title: 钠离子电池低盐浓度电解液研究论文数据集
DOI: 10.57841/casdc.0002699
title: 界面工程实现200 Wh-kg能量密度钠电池论文数据集
DOI: 10.57841/casdc.0002700
title: 一种新型富镍O3-NaNi0.60Fe0.25Mn0.15O2正极用于钠离子电池论文数据集
DOI: 10.57841/casdc.0002701
title: 调控手性向列的纳米晶纤维素基硬碳微观结构提升首周库仑效率研究论文数据集
DOI: 10.57841/casdc.0002702
title: 杂原子构型筛选提升可逆斜坡容量助力高功率钠离子电池论文数据集
DOI: 10.57841/casdc.0002703
title: 高熵微区互锁的聚合物电解质用于先进全固态电池论文数据集
DOI: 10.5281/zenodo.6335362
title: QPCTL regulates macrophage and monocyte abundance and inflammatory signatures in the tumor microenvironment

description: <strong>The enzyme glutaminyl-peptide cyclotransferase-like protein (QPCTL) catalyzes the formation of pyroglutamate residues at the NH<sub>2</sub>-terminus of proteins, thereby influencing their biological properties. A number of studies have implicated QPCTL in the regulation of chemokine stability. Furthermore, QPCTL activity has recently been shown to be critical for the formation of the high affinity SIRPa binding site of the CD47 “don’t-eat-me” protein. Based on the latter data, interference with QPCTL activity—and hence CD47 maturation—may be proposed as a means to promote anti-tumor immunity. However, the pleiotropic activity of QPCTL makes it difficult to predict the effects of QPCTL inhibition on the tumor microenvironment (TME). Using a syngeneic mouse melanoma model, we demonstrate that QPCTL deficiency alters the intra-tumoral monocyte-to-macrophage ratio, results in a profound increase in the presence of pro-inflammatory cancer-associated fibroblasts (CAFs) relative to immunosuppressive TGF-b1-driven CAFs, and leads to an increased IFN and decreased TGF-b transcriptional response signature in tumor cells. Importantly, the functional relevance of the observed TME remodeling is demonstrated by the synergy between QPCTL deletion and anti PD-L1 therapy, sensitizing an otherwise refractory melanoma model to anti-checkpoint therapy. Collectively, these data provide support for the development of strategies to interfere with QPCTL activity as a means to promote tumor-specific immunity.</strong>
DOI: 10.5281/zenodo.6335363
title: QPCTL regulates macrophage and monocyte abundance and inflammatory signatures in the tumor microenvironment

description: <strong>The enzyme glutaminyl-peptide cyclotransferase-like protein (QPCTL) catalyzes the formation of pyroglutamate residues at the NH<sub>2</sub>-terminus of proteins, thereby influencing their biological properties. A number of studies have implicated QPCTL in the regulation of chemokine stability. Furthermore, QPCTL activity has recently been shown to be critical for the formation of the high affinity SIRPa binding site of the CD47 “don’t-eat-me” protein. Based on the latter data, interference with QPCTL activity—and hence CD47 maturation—may be proposed as a means to promote anti-tumor immunity. However, the pleiotropic activity of QPCTL makes it difficult to predict the effects of QPCTL inhibition on the tumor microenvironment (TME). Using a syngeneic mouse melanoma model, we demonstrate that QPCTL deficiency alters the intra-tumoral monocyte-to-macrophage ratio, results in a profound increase in the presence of pro-inflammatory cancer-associated fibroblasts (CAFs) relative to immunosuppressive TGF-b1-driven CAFs, and leads to an increased IFN and decreased TGF-b transcriptional response signature in tumor cells. Importantly, the functional relevance of the observed TME remodeling is demonstrated by the synergy between QPCTL deletion and anti PD-L1 therapy, sensitizing an otherwise refractory melanoma model to anti-checkpoint therapy. Collectively, these data provide support for the development of strategies to interfere with QPCTL activity as a means to promote tumor-specific immunity.</strong>
DOI: 10.57841/casdc.0002704
title: 拓扑聚合物固体电解质合理设计用于高性能全固态碱金属电池论文数据集
DOI: 10.57841/casdc.0002705
title: 拓扑保护的氧变价层状锰基氧化物正极用于可持续电池论文数据集
DOI: 10.5517/ccdc.csd.cc29kfx7
title: CCDC 2131929: Experimental Crystal Structure Determination

description: Related Article: Ruochuan Liao, Xiaoling Ma, Changquan Tang, Yuanzheng Liu, Wenyu Zheng, Yunlong Ma, Qisheng Tu, Wenyuan Lin, Yuanping Yi, Qingdong Zheng|2022|J.Mater.Chem.A|10|23915|doi:10.1039/D2TA05869C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29kfy8
title: CCDC 2131930: Experimental Crystal Structure Determination

description: Related Article: Ruochuan Liao, Xiaoling Ma, Changquan Tang, Yuanzheng Liu, Wenyu Zheng, Yunlong Ma, Qisheng Tu, Wenyuan Lin, Yuanping Yi, Qingdong Zheng|2022|J.Mater.Chem.A|10|23915|doi:10.1039/D2TA05869C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29khhw
title: CCDC 2131978: Experimental Crystal Structure Determination

description: Related Article: Ruochuan Liao, Xiaoling Ma, Changquan Tang, Yuanzheng Liu, Wenyu Zheng, Yunlong Ma, Qisheng Tu, Wenyuan Lin, Yuanping Yi, Qingdong Zheng|2022|J.Mater.Chem.A|10|23915|doi:10.1039/D2TA05869C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57841/casdc.0002706
title: 一种新型锡基O3-Na0.9Ni0.45-x-2MnxSn0.55-x-xO2钠离子电池正极论文数据集
DOI: 10.57841/casdc.0002707
title: 阴离子氧化还原激发的高容量低应力低相变正极材料论文数据集
DOI: 10.5517/ccdc.csd.cc2fnb5m
title: CCDC 2253860: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Budnikov, Igor B. Krylov, Andrey V. Lastovko, Roman A. Dolotov, Mikhail I. Shevchenko, Alexander O. Terent'ev|2023|Org.Biomol.Chem.|21|7758|doi:10.1039/D3OB00925D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnb6n
title: CCDC 2253861: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Budnikov, Igor B. Krylov, Andrey V. Lastovko, Roman A. Dolotov, Mikhail I. Shevchenko, Alexander O. Terent'ev|2023|Org.Biomol.Chem.|21|7758|doi:10.1039/D3OB00925D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnc6p
title: CCDC 2253892: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Budnikov, Igor B. Krylov, Andrey V. Lastovko, Roman A. Dolotov, Mikhail I. Shevchenko, Alexander O. Terent'ev|2023|Org.Biomol.Chem.|21|7758|doi:10.1039/D3OB00925D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5z02zk62
title: MassIVE MSV000093073 - GNPS_Feline_fecal_Samples_OrbitrapMSdata
title: Fecal samples from 14 different species of felines were extracted using 50:50 MeOH: H2O and chromatographed using a Phenomenex polar C18 column. MS/MS data was acquired on Orbitrap in positive ionization mode
DOI: 10.5281/zenodo.8305509
title: Dataset: Parameter estimation by learning quantum correlations in continuous photon-counting data using neural networks

description: Dataset for the paper E. Rinaldi, M. González Lastre, S. García Herreros, S. Ahmed, M. Khanahmadi, F. Nori, and C. Sánchez Muñoz (2023), ¨Parameter estimation by learning quantum correlations in continuous photon-counting data using neural networks¨, arxiv: 2310.02309 This dataset can be used to populate the [datapath] folder in the repository <strong>ParamEst-NN</strong> (github.com/CarlosSMWolff/ParamEst-NN ) and reproduce the results shown in the paper. The dataset consist of four folders: <strong>Training trajectories.</strong> Records of quantum-jump trajectories simulated with the Monte-Carlo solver of the QuTiP library, used to train neural networks for the problem of quantum parameter estimation. The records consist of time delays between quantum jumps. <strong>Models. </strong>Models trained with the training trajectories provided, and used to obtain the results shown in the paper. <strong>Validation trajectories. </strong>Trajectories used to benchmark the trained models. For the 2D case, the same trajectories are provided as a single .npy file, and split in 10 separated batches inside a ```batches``` folder. These are the batches that we used to generate Bayesian estimations on a cluster using nested sampling (see README file of the repository). <strong>Cached results. </strong>Here we provide pre-computed Bayesian estimations for the 2D multi-parameter estimation case using nested sampling. <em>E.R. was supported by Nippon Telegraph and Telephone Corporation (NTT) Research during the early stages of this work.<br> C.S.M. acknowledges that the project that gave rise to these results received the support of a fellowship from “la Caixa” Foundation (ID 100010434) and from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No.847648, with fellowship code LCF/BQ/PI20/11760026, and financial support from the MCINN project PID2021-126964OB-I00 (QENIGMA) and the Proyecto Sinérgico CAM 2020 Y2020/TCS- 6545 (NanoQuCo-CM).</em>
DOI: 10.5281/zenodo.8305508
title: Dataset: Parameter estimation by learning quantum correlations in continuous photon-counting data using neural networks

description: Dataset for the paper E. Rinaldi, M. González Lastre, S. García Herreros, S. Ahmed, M. Khanahmadi, F. Nori, and C. Sánchez Muñoz (2023), ¨Parameter estimation by learning quantum correlations in continuous photon-counting data using neural networks¨, arxiv: 2310.02309 This dataset can be used to populate the [datapath] folder in the repository <strong>ParamEst-NN</strong> (github.com/CarlosSMWolff/ParamEst-NN ) and reproduce the results shown in the paper. The dataset consist of four folders: <strong>Training trajectories.</strong> Records of quantum-jump trajectories simulated with the Monte-Carlo solver of the QuTiP library, used to train neural networks for the problem of quantum parameter estimation. The records consist of time delays between quantum jumps. <strong>Models. </strong>Models trained with the training trajectories provided, and used to obtain the results shown in the paper. <strong>Validation trajectories. </strong>Trajectories used to benchmark the trained models. For the 2D case, the same trajectories are provided as a single .npy file, and split in 10 separated batches inside a ```batches``` folder. These are the batches that we used to generate Bayesian estimations on a cluster using nested sampling (see README file of the repository). <strong>Cached results. </strong>Here we provide pre-computed Bayesian estimations for the 2D multi-parameter estimation case using nested sampling. <em>E.R. was supported by Nippon Telegraph and Telephone Corporation (NTT) Research during the early stages of this work.<br> C.S.M. acknowledges that the project that gave rise to these results received the support of a fellowship from “la Caixa” Foundation (ID 100010434) and from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No.847648, with fellowship code LCF/BQ/PI20/11760026, and financial support from the MCINN project PID2021-126964OB-I00 (QENIGMA) and the Proyecto Sinérgico CAM 2020 Y2020/TCS- 6545 (NanoQuCo-CM).</em>
DOI: 10.5281/zenodo.8355251
title: Data of: Cross-Sectional Survey on cognitive-affective-attitudinal responses of Germans on refugees

description: The present dataset is the result of a cross-sectional online survey, which had been conducted to offer a clearer picture regarding Germans’ cognitive-affective-attitudinal responses when thinking about refugees. The survey content is based on an extended version of the Empathy-Attitude-Action model and was carried out with a sample of Germans. The dataset is in xlsx-format and the variable-descriptions can be found in the headings of the spreadsheet
DOI: 10.5281/zenodo.8355252
title: Data of: Cross-Sectional Survey on cognitive-affective-attitudinal responses of Germans on refugees

description: The present dataset is the result of a cross-sectional online survey, which had been conducted to offer a clearer picture regarding Germans’ cognitive-affective-attitudinal responses when thinking about refugees. The survey content is based on an extended version of the Empathy-Attitude-Action model and was carried out with a sample of Germans. The dataset is in xlsx-format and the variable-descriptions can be found in the headings of the spreadsheet
DOI: 10.34808/5p14-0c72
title: A study of nighttime vehicle detection algorithms

description: This dataset is from my master's thesis "A study of nighttime vehicle detection algorithms". It contains both raw data and preprocessed dataset ready to use. In the pictures below you can see how images were annotated.
Package contains 3 datasets for:

detection (YOLO, Pascal) - 2000 cars
classification of images - 100 000 images
classification of light intensity samples - 14 000 samples

Detection dataset has two classes: "front" and "rear".
Classification datasets have two classes: "There is a vehicle" or "There is no vehicle".
Dataset designed for vehicle detection at nighttime conditions, including images and recordings from the light intensity sensor. The task of vehicle detection at night is challenging due to limited visibility and reduced image quality. The Go Pro 5 camera and APDS9966 light intensity sensor, both of which are commercially available and popular for light recording applications, were used to create this dataset.
The choice of the Go Pro 5 camera and light intensity sensor as data sources was due to their popularity and availability in the market, which allows easy replication of the experiments and expand this dataset in the future.  Two settings were used - urban and rural. The urban one is characterized by high light pollution. Examples of "front" class. Examples that are not classified as "front" class. Examples of "rear" class. Examples that are not classified as "rear" class.
DOI: 10.6084/m9.figshare.24278299
title: Wikipedia data.tsv

description: Using Wikipedia data to study AI ethics.