cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25824/redu/uo7rpu
title: Conjunto de dados da pesquisa “As mutações do samba na década de 1970: uma escuta de novas linguagens da bateria"

description: Este conjunto de dados refere-se à pesquisa intitulada "As mutações do samba na década de 1970: uma escuta de novas linguagens da bateria", desenvolvida junto ao Instituto de Artes da Universidade Estadual de Campinas, e reúne o material empírico incorporado à análise apresentada no trabalho. Previamente ao início das entrevistas, o projeto foi submetido à apreciação do Comitê de Ética em Pesquisa com Seres Humanos da Unicamp e aprovado, assegurando que todas as etapas de produção, interpretação e uso do material estivessem em conformidade com os princípios éticos vigentes. A pesquisa se fundamentou no levantamento da discografia do repertório de samba na década de 1970, transcrição dos dados obtidos no relatório IBOPE sobre a vendagem de discos, realização de entrevistas, e análise documental. Disso decorre que este conjunto de dados consiste em arquivos de planilha do catálogo do repertório de samba, dos dados de vendagem de discos do relatório IBOPE, transcrições de entrevistas. O objetivo principal de sua disponibilização é tornar públicos os dados que fundamentam a investigação sobre a performance e sonoridade do instrumento bateria numa determinada época (década de 1970) e expressão musical (samba) no país. A publicação deste conjunto de dados visa contribuir para a transparência da pesquisa, bem como para o avanço de estudos futuros sobre repertórios, sonoridades e performance musical da bateria.
DOI: 10.15468/dl.mbfda5
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - DOL - Aéroport de Deauville-Inventaires Aéro Biodiversité - DOL - EPOC 9"
 ]
}

 The dataset's 10 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011576-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdpjte
title: Occurrence Download

description: A dataset containing 47846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "StateProvince is Gelderland",
 "TaxonKey is Phasianidae",
 "Year 2015-2025"
 ]
}

 The dataset includes 47846 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011600-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrjasb
title: Occurrence Download

description: A dataset containing 78606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvelinus fontinalis)",
 "HasCoordinate is true",
 "DecimalLatitude is less than 90",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is less than 180",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 78606 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011565-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29086540
title: Electrochemical signaling for artificial innervation of self-oscillating gels

description: Active matter, characterized by its ability to exhibit autonomous and dynamic behavior, has emerged as a promising platform for mimicking complex biological processes. In biological systems, electrochemical signaling plays a vital role in regulating their dynamic processes, such as muscle contraction. Drawing inspiration from these mechanisms, we demonstrate that electrochemical signaling can effectively modulate the autonomous motion of self-oscillating gels (SOGs), a model active matter system driven by the Belousov – Zhabotinsky reaction. Electrochemical stimulation generates signal transducers, HBrO₂ and Br<sup>−</sup>, enabling the modulation of the autonomous motion of SOGs, including the termination and acceleration of volumetric oscillations. Our findings reveal that the response of SOGs to electrochemical signals is influenced by their geometry, orientation, and the duration of applied potential. These results establish electrochemical signaling as a powerful approach for controlling the behavior of active matter, bridging the gap between synthetic systems and biological mechanisms. By advancing the understanding of active matter dynamics, this work paves the way for applications in soft robotics, adaptive materials, and bioinspired actuators. Electrochemical signaling effectively modulates the autonomous motion of self-oscillating gels, which are a model active matter system driven by the Belousov – Zhabotinsky reaction. This finding represents a significant step toward the development of artificial active matter capable of exhibiting complex, life-like behavior through electrochemical signaling.
DOI: 10.6084/m9.figshare.29086540.v2
title: Electrochemical signaling for artificial innervation of self-oscillating gels

description: Active matter, characterized by its ability to exhibit autonomous and dynamic behavior, has emerged as a promising platform for mimicking complex biological processes. In biological systems, electrochemical signaling plays a vital role in regulating their dynamic processes, such as muscle contraction. Drawing inspiration from these mechanisms, we demonstrate that electrochemical signaling can effectively modulate the autonomous motion of self-oscillating gels (SOGs), a model active matter system driven by the Belousov – Zhabotinsky reaction. Electrochemical stimulation generates signal transducers, HBrO₂ and Br<sup>−</sup>, enabling the modulation of the autonomous motion of SOGs, including the termination and acceleration of volumetric oscillations. Our findings reveal that the response of SOGs to electrochemical signals is influenced by their geometry, orientation, and the duration of applied potential. These results establish electrochemical signaling as a powerful approach for controlling the behavior of active matter, bridging the gap between synthetic systems and biological mechanisms. By advancing the understanding of active matter dynamics, this work paves the way for applications in soft robotics, adaptive materials, and bioinspired actuators. Electrochemical signaling effectively modulates the autonomous motion of self-oscillating gels, which are a model active matter system driven by the Belousov – Zhabotinsky reaction. This finding represents a significant step toward the development of artificial active matter capable of exhibiting complex, life-like behavior through electrochemical signaling.
DOI: 10.6084/m9.figshare.29086540.v1
title: Electrochemical signaling for artificial innervation of self-oscillating gels

description: Active matter, characterized by its ability to exhibit autonomous and dynamic behavior, has emerged as a promising platform for mimicking complex biological processes. In biological systems, electrochemical signaling plays a vital role in regulating their dynamic processes, such as muscle contraction. Drawing inspiration from these mechanisms, we demonstrate that electrochemical signaling can effectively modulate the autonomous motion of self-oscillating gels (SOGs), a model active matter system driven by the Belousov – Zhabotinsky reaction. Electrochemical stimulation generates signal transducers, HBrO₂ and Br<sup>−</sup>, enabling the modulation of the autonomous motion of SOGs, including the termination and acceleration of volumetric oscillations. Our findings reveal that the response of SOGs to electrochemical signals is influenced by their geometry, orientation, and the duration of applied potential. These results establish electrochemical signaling as a powerful approach for controlling the behavior of active matter, bridging the gap between synthetic systems and biological mechanisms. By advancing the understanding of active matter dynamics, this work paves the way for applications in soft robotics, adaptive materials, and bioinspired actuators. Electrochemical signaling effectively modulates the autonomous motion of self-oscillating gels, which are a model active matter system driven by the Belousov – Zhabotinsky reaction. This finding represents a significant step toward the development of artificial active matter capable of exhibiting complex, life-like behavior through electrochemical signaling.
DOI: 10.6084/m9.figshare.29352357
title: Systematic investigation on transverse thermoelectric conversion of RE<sub>2</sub>(Fe,Co)<sub>14</sub>B (RE = rare-earth) compounds

description: Transverse thermoelectric generation (TEG) based on the anomalous Nernst effect (ANE) is a promising technology capable of converting waste heat into electricity. The transverse TEG device can operate without applying an external magnetic field by implementing permanent magnets, such as Nd<sub>2</sub>Fe<sub>14</sub>B-type magnets. However, the transverse thermoelectric properties of the rare-earth (RE) based compounds have not been systematically studied and understood so far. In this work, we have explored the potential of RE<sub>2</sub>Fe<sub>14</sub>B and Nd<sub>2</sub>(Fe, Co)<sub>14</sub>B compounds and systematically investigated the transverse thermoelectric properties at room temperature. We obtained the negative anomalous Nernst coefficient (<i>S</i><sub>ANE</sub>) for all the RE<sub>2</sub>Fe<sub>14</sub>B (RE = Tb, Dy, Ho, and Nd) alloys regardless of the RE element and the highest negative <i>S</i><sub>ANE</sub> of −0.67× 10<sup>−6</sup> VK<sup>−1</sup> for Tb<sub>2</sub>Fe<sub>14</sub>B among them, which is comparable to that of the commercial Nd<sub>2</sub>Fe<sub>14</sub>B permanent magnets with an optimized microstructure. The substitution of Co for Fe site in Nd<sub>2</sub>(Fe<sub>1-<i>p</i></sub>Co<sub><i>p</i></sub>)<sub>14</sub>B alloys causes sign reversal (from negative to positive) of <i>S</i><sub>ANE</sub> values. The transverse thermoelectric conductivity is responsible for the sign change in <i>S</i><sub>ANE</sub> values. As a result, the Nd<sub>2</sub>(Fe<sub>0.4</sub>Co<sub>0.6</sub>)<sub>14</sub>B alloy shows the highest positive <i>S</i><sub>ANE</sub> of 1.87 × 10<sup>−6</sup> VK<sup>−1</sup>, revealing that the RE and 3<i>d</i> transition metal elements play distinct roles on the transverse thermoelectric performance in RE<sub>2</sub>(Fe,Co)<sub>14</sub>B compounds. This work systematically investigates rare-earth-based RE₂Fe₁₄B compounds, uncovering tunable transverse thermoelectric properties, including anomalous Nernst coefficient sign reversal and a twofold enhancement via Co substitution, advancing efficient transverse thermoelectric generation technologies.
DOI: 10.6084/m9.figshare.29352357.v2
title: Systematic investigation on transverse thermoelectric conversion of RE<sub>2</sub>(Fe,Co)<sub>14</sub>B (RE = rare-earth) compounds

description: Transverse thermoelectric generation (TEG) based on the anomalous Nernst effect (ANE) is a promising technology capable of converting waste heat into electricity. The transverse TEG device can operate without applying an external magnetic field by implementing permanent magnets, such as Nd<sub>2</sub>Fe<sub>14</sub>B-type magnets. However, the transverse thermoelectric properties of the rare-earth (RE) based compounds have not been systematically studied and understood so far. In this work, we have explored the potential of RE<sub>2</sub>Fe<sub>14</sub>B and Nd<sub>2</sub>(Fe, Co)<sub>14</sub>B compounds and systematically investigated the transverse thermoelectric properties at room temperature. We obtained the negative anomalous Nernst coefficient (<i>S</i><sub>ANE</sub>) for all the RE<sub>2</sub>Fe<sub>14</sub>B (RE = Tb, Dy, Ho, and Nd) alloys regardless of the RE element and the highest negative <i>S</i><sub>ANE</sub> of −0.67× 10<sup>−6</sup> VK<sup>−1</sup> for Tb<sub>2</sub>Fe<sub>14</sub>B among them, which is comparable to that of the commercial Nd<sub>2</sub>Fe<sub>14</sub>B permanent magnets with an optimized microstructure. The substitution of Co for Fe site in Nd<sub>2</sub>(Fe<sub>1-<i>p</i></sub>Co<sub><i>p</i></sub>)<sub>14</sub>B alloys causes sign reversal (from negative to positive) of <i>S</i><sub>ANE</sub> values. The transverse thermoelectric conductivity is responsible for the sign change in <i>S</i><sub>ANE</sub> values. As a result, the Nd<sub>2</sub>(Fe<sub>0.4</sub>Co<sub>0.6</sub>)<sub>14</sub>B alloy shows the highest positive <i>S</i><sub>ANE</sub> of 1.87 × 10<sup>−6</sup> VK<sup>−1</sup>, revealing that the RE and 3<i>d</i> transition metal elements play distinct roles on the transverse thermoelectric performance in RE<sub>2</sub>(Fe,Co)<sub>14</sub>B compounds. This work systematically investigates rare-earth-based RE₂Fe₁₄B compounds, uncovering tunable transverse thermoelectric properties, including anomalous Nernst coefficient sign reversal and a twofold enhancement via Co substitution, advancing efficient transverse thermoelectric generation technologies.
DOI: 10.6084/m9.figshare.29039908
title: Chemically-fueled phase transition of a redox-responsive polymer

description: In living systems, dynamic biomacromolecular assemblies are driven and regulated by energy dissipative chemical reaction networks, enabling various autonomous functions. Inspired by this biological principle, we report a chemically-fueled phase transition of a poly(<i>N</i>-isopropylacrylamide) (PNIPAAm)-based polymer bearing viologen units (P(NIPAAm-V)), wherein redox changes drive coil-to-globule phase transitions. Upon the addition of a reducing agent, viologen moieties in P(NIPAAm-V) are converted into their reduced state, resulting in enhanced hydrophobicity and polymer aggregation. Coexistence of a platinum catalyst couples these redox-driven structural changes to hydrogen evolution, which oxidizes the viologen radicals, thus restoring the polymer chains to their hydrated random coil state. As a result, transient polymer assemblies form and subsequently disassemble upon depletion of the reducing agent, leading to a temporally controlled out-of-equilibrium phase transition. Moreover, by tuning the platinum concentration and reaction temperature, we achieve precise control of both the size and lifetime of these assemblies. Notably, viologen moieties constitute only about 1% of the polymer repeating units, underscoring that chemically-fueled phase transition is efficient strategy for dynamically regulating molecular assemblies. These findings demonstrate that chemically-fueled phase transitions in redox-responsive polymers offer a promising blueprint for designing dynamic, biomimetic materials capable of spatiotemporally regulated structural transformations. By coupling a redox-responsive poly(<i>N</i>-isopropylacrylamide) derivative with platinum-catalyzed hydrogen evolution, this study establishes a chemically-fueled phase transition, paving the way for dynamic, energy-dissipative polymeric materials with tunable lifetimes and structural transformations reminiscent of biological systems.
DOI: 10.6084/m9.figshare.29039908.v1
title: Chemically-fueled phase transition of a redox-responsive polymer

description: In living systems, dynamic biomacromolecular assemblies are driven and regulated by energy dissipative chemical reaction networks, enabling various autonomous functions. Inspired by this biological principle, we report a chemically-fueled phase transition of a poly(<i>N</i>-isopropylacrylamide) (PNIPAAm)-based polymer bearing viologen units (P(NIPAAm-V)), wherein redox changes drive coil-to-globule phase transitions. Upon the addition of a reducing agent, viologen moieties in P(NIPAAm-V) are converted into their reduced state, resulting in enhanced hydrophobicity and polymer aggregation. Coexistence of a platinum catalyst couples these redox-driven structural changes to hydrogen evolution, which oxidizes the viologen radicals, thus restoring the polymer chains to their hydrated random coil state. As a result, transient polymer assemblies form and subsequently disassemble upon depletion of the reducing agent, leading to a temporally controlled out-of-equilibrium phase transition. Moreover, by tuning the platinum concentration and reaction temperature, we achieve precise control of both the size and lifetime of these assemblies. Notably, viologen moieties constitute only about 1% of the polymer repeating units, underscoring that chemically-fueled phase transition is efficient strategy for dynamically regulating molecular assemblies. These findings demonstrate that chemically-fueled phase transitions in redox-responsive polymers offer a promising blueprint for designing dynamic, biomimetic materials capable of spatiotemporally regulated structural transformations. By coupling a redox-responsive poly(<i>N</i>-isopropylacrylamide) derivative with platinum-catalyzed hydrogen evolution, this study establishes a chemically-fueled phase transition, paving the way for dynamic, energy-dissipative polymeric materials with tunable lifetimes and structural transformations reminiscent of biological systems.
DOI: 10.6084/m9.figshare.28652490
title: One-dimensional photonic crystal structure enhanced external-magnetic-field-free spintronic terahertz high-field emitter

description: Intense terahertz (THz) radiation in free space offers multifaceted capabilities for accelerating electron, understanding the mesoscale architecture in (bio)materials, elementary excitation and so on. Recently popularized spintronic THz emitters (STEs) with their versatility such as ultra-broadband, large-size and ease-for-integration have become one of the most promising alternative for the next generation of intense THz sources. Nevertheless, the typical W | Co 20Fe 60B 20 | Pt necessitates an external-magnetic-field to saturate magnetization for stable operation, limiting its scalability for achieving higher THz field with uniform distribution over larger sample areas. Here we demonstrate the methodologies of enhancing the high-field THz radiation of external-magnetic-field-free IrMn 3 | Co 20Fe 60B 20 | W trilayer heterostructure via optimizing the substrate with superior thermal conductivity and integrating a one-dimensional photonic crystal (PC) structure to maximize the radiation efficiency. Under the excitation of a 1 kHz Ti: sapphire femtosecond laser amplifier with central wavelength of 800 nm, pulse duration of 35 fs, and maximum single pulse energy of 5.5 mJ, we successfully generate intense THz radiation with focal peak electric field up to 650 kV/cm with frequency range covering 0.1–5.5 THz from MgO-coated sample without external-magnetic-fields. These high-field STEs will also enable other applications such as ultra-broadband high-field THz spectroscopy and polarization-based large-size strong-field THz imaging. Highly integrated, large-size, external-magnetic-field-free strong-field spin terahertz emitters were prepared combining with broadband one-dimensional photonic crystals and high-resistance silicon substrates, accelerating the development of high-field THz science and applications.
DOI: 10.6084/m9.figshare.28652490.v1
title: One-dimensional photonic crystal structure enhanced external-magnetic-field-free spintronic terahertz high-field emitter

description: Intense terahertz (THz) radiation in free space offers multifaceted capabilities for accelerating electron, understanding the mesoscale architecture in (bio)materials, elementary excitation and so on. Recently popularized spintronic THz emitters (STEs) with their versatility such as ultra-broadband, large-size and ease-for-integration have become one of the most promising alternative for the next generation of intense THz sources. Nevertheless, the typical W | Co 20Fe 60B 20 | Pt necessitates an external-magnetic-field to saturate magnetization for stable operation, limiting its scalability for achieving higher THz field with uniform distribution over larger sample areas. Here we demonstrate the methodologies of enhancing the high-field THz radiation of external-magnetic-field-free IrMn 3 | Co 20Fe 60B 20 | W trilayer heterostructure via optimizing the substrate with superior thermal conductivity and integrating a one-dimensional photonic crystal (PC) structure to maximize the radiation efficiency. Under the excitation of a 1 kHz Ti: sapphire femtosecond laser amplifier with central wavelength of 800 nm, pulse duration of 35 fs, and maximum single pulse energy of 5.5 mJ, we successfully generate intense THz radiation with focal peak electric field up to 650 kV/cm with frequency range covering 0.1–5.5 THz from MgO-coated sample without external-magnetic-fields. These high-field STEs will also enable other applications such as ultra-broadband high-field THz spectroscopy and polarization-based large-size strong-field THz imaging. Highly integrated, large-size, external-magnetic-field-free strong-field spin terahertz emitters were prepared combining with broadband one-dimensional photonic crystals and high-resistance silicon substrates, accelerating the development of high-field THz science and applications.
DOI: 10.6084/m9.figshare.28246789
title: Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering

description: Solid catalyst development has traditionally relied on trial-and-error approaches, limiting the broader application of valuable insights across different catalyst families. To overcome this fragmentation, we introduce a framework that integrates high-throughput experimentation (HTE) and automatic feature engineering (AFE) with active learning to acquire comprehensive catalyst knowledge. The framework is demonstrated for oxidative coupling of methane (OCM), where active learning is continued until the machine learning model achieves robustness for each of the BaO-, CaO-, La<sub>2</sub>O<sub>3</sub>-, TiO<sub>2</sub>-, and ZrO<sub>2</sub>-supported catalysts, with 333 catalysts newly tested. The resulting models are utilized to extract catalyst design rules, revealing key synergistic combinations in high-performing catalysts. Moreover, we propose a method for transferring knowledge between supports, showing that features refined on one support can improve predictions on others. This framework advances the understanding of catalyst design and promotes reliable machine learning. Integrating high-throughput experimentation and automatic feature engineering in a loop enables the development of robust machine learning models, leading to comprehensive and transferable catalyst knowledge.