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A dataset simulated by a regional climate model coupled with an urban canopy model and building energy model (WRF–CM–BEM). The study area was the Tokyo Metropolitan Area, Japan and the simulation period was summertime in 2017 (from 00UTC 25 June to 00UTC 01 September). This dataset includes model output (electricity consumption (EC) and near-surface air temperature) and model grid information (e.g., longitude, latitude, and land-use index) as netCDF files. There are two files: an improvement case (CASEnew.nc) and another case without improvements (CASEold.nc).

A dataset simulated by a regional climate model coupled with an urban canopy model and building energy model (WRF–CM–BEM). The study area was the Tokyo Metropolitan Area, Japan and the simulation period was summertime in 2017 (from 00UTC 25 June to 00UTC 01 September). This dataset includes model output (electricity consumption (EC) and near-surface air temperature) and model grid information (e.g., longitude, latitude, and land-use index) as netCDF files. There are two files: an improvement case (CASEnew.nc) and another case without improvements (CASEold.nc).

The study of visual perception has largely been completed without regard to the influence that an individual’s emotional status may have on their performance in visual tasks. However, there is a growing body of evidence to suggest that mood may affect not only creative abilities and interpersonal skills but also the capacity to perform low-level cognitive tasks. Here, we sought to determine whether rudimentary visual search processes are similarly affected by emotion. Specifically, we examined whether an individual’s perceived happiness level affects their ability to detect a target in noise. To do so, we employed pop-out and serial visual search paradigms, implemented using a novel smartphone application that allowed search times and self-rated levels of happiness to be recorded throughout each twenty-four-hour period for two weeks. This experience sampling protocol circumvented the need to alter mood artificially with laboratory-based induction methods. Using our smartphone application, we were able to replicate the classic visual search findings, whereby pop-out search times remained largely unaffected by the number of distractors whereas serial search times increased with increasing number of distractors. While pop-out search times were unaffected by happiness level, serial search times with the maximum numbers of distractors (n = 30) were significantly faster for high happiness levels than low happiness levels (p = 0.02). Our results demonstrate the utility of smartphone applications in assessing ecologically valid measures of human visual performance. We discuss the significance of our findings for the assessment of basic visual functions using search time measures, and for our ability to search effectively for targets in real world settings. Raw response dataExcel file for raw response data of the three tasks. Each sheet shows the data for one participant. The numeric data for the number touch task and visual search task represent response times (sec.), and the data for the self-state rating task represent slider response scores. Sessions that were missed by the participant are omitted.raw_response_data.xlsx

The study of visual perception has largely been completed without regard to the influence that an individual’s emotional status may have on their performance in visual tasks. However, there is a growing body of evidence to suggest that mood may affect not only creative abilities and interpersonal skills but also the capacity to perform low-level cognitive tasks. Here, we sought to determine whether rudimentary visual search processes are similarly affected by emotion. Specifically, we examined whether an individual’s perceived happiness level affects their ability to detect a target in noise. To do so, we employed pop-out and serial visual search paradigms, implemented using a novel smartphone application that allowed search times and self-rated levels of happiness to be recorded throughout each twenty-four-hour period for two weeks. This experience sampling protocol circumvented the need to alter mood artificially with laboratory-based induction methods. Using our smartphone application, we were able to replicate the classic visual search findings, whereby pop-out search times remained largely unaffected by the number of distractors whereas serial search times increased with increasing number of distractors. While pop-out search times were unaffected by happiness level, serial search times with the maximum numbers of distractors (n = 30) were significantly faster for high happiness levels than low happiness levels (p = 0.02). Our results demonstrate the utility of smartphone applications in assessing ecologically valid measures of human visual performance. We discuss the significance of our findings for the assessment of basic visual functions using search time measures, and for our ability to search effectively for targets in real world settings. Raw response dataExcel file for raw response data of the three tasks. Each sheet shows the data for one participant. The numeric data for the number touch task and visual search task represent response times (sec.), and the data for the self-state rating task represent slider response scores. Sessions that were missed by the participant are omitted.raw_response_data.xlsx

Various procedures have been adopted to investigate spectral sensitivity of animals, e.g., absorption spectra of visual pigments, electroretinography, optokinetic response, optomotor response (OMR), and phototaxis. These works have led to various conclusions about animal vision. However, visual sensitivity should be evaluated consistently for a reliable comparison. In this study, we retrieved behavioural data of several fish species that used a unified procedure for the OMR test and compared the sensitivities to near-infrared light. Besides cavefish that lack eyes, some species were not appropriate for the OMR test because they either stayed still or changed swimming direction frequently. Eight fish species out of 13 species tested were OMR positive. Detailed analyses using goldfish, zebrafish, guppy, medaka, stickleback, and cichlid revealed that all the fish were sensitive to light at λ ≥ 750 nm, where the threshold wavelengths varied from 750 nm to 880 nm. Fish opsin repertoire enabled the perception of red light. In contrast, the copy number of long-wave-sensitive (LWS) genes did not necessarily improve red-light sensitivity. The duplication of LWS and other cone opsin genes that have occurred extensively during fish evolution might not aid increasing spectral sensitivity, but provide some other ophthalmic function, such as enhanced spectral discrimination. Fig3 OMR data sets of Nile tilapia under light of 720, 750, 800, 810, 820, 830, 840, 850 and 860nm. OMR data sets of Mexican cavefish under light of 720, 750, 800, 820 and 860 nm. Fig3.zip Fig4 OMR data sets of medaka, goldfish, zebrafish, guppy, three-spined stickleback, mbuna under light of 700, 750, 800, 850, 900, 950 and 1000 nm. Fig4.zip Fig5 OMR data sets of medaka, goldfish, zebrafish, guppy, three-spined stickleback, mbuna under light of 780, 800, 820, 840, 860 and 880 nm. Fig5.zip OMR data sets of goldfish for Steel's test OMR data sets of goldfish under light of 780, 800, 820, 840, 860, 880 and 950 nm. SteelsComparison_Goldfish.zip ND: not determined, NA: data not available (fish did not show positive OMR)

Various procedures have been adopted to investigate spectral sensitivity of animals, e.g., absorption spectra of visual pigments, electroretinography, optokinetic response, optomotor response (OMR), and phototaxis. These works have led to various conclusions about animal vision. However, visual sensitivity should be evaluated consistently for a reliable comparison. In this study, we retrieved behavioural data of several fish species that used a unified procedure for the OMR test and compared the sensitivities to near-infrared light. Besides cavefish that lack eyes, some species were not appropriate for the OMR test because they either stayed still or changed swimming direction frequently. Eight fish species out of 13 species tested were OMR positive. Detailed analyses using goldfish, zebrafish, guppy, medaka, stickleback, and cichlid revealed that all the fish were sensitive to light at λ ≥ 750 nm, where the threshold wavelengths varied from 750 nm to 880 nm. Fish opsin repertoire enabled the perception of red light. In contrast, the copy number of long-wave-sensitive (LWS) genes did not necessarily improve red-light sensitivity. The duplication of LWS and other cone opsin genes that have occurred extensively during fish evolution might not aid increasing spectral sensitivity, but provide some other ophthalmic function, such as enhanced spectral discrimination. Fig3 OMR data sets of Nile tilapia under light of 720, 750, 800, 810, 820, 830, 840, 850 and 860nm. OMR data sets of Mexican cavefish under light of 720, 750, 800, 820 and 860 nm. Fig3.zip Fig4 OMR data sets of medaka, goldfish, zebrafish, guppy, three-spined stickleback, mbuna under light of 700, 750, 800, 850, 900, 950 and 1000 nm. Fig4.zip Fig5 OMR data sets of medaka, goldfish, zebrafish, guppy, three-spined stickleback, mbuna under light of 780, 800, 820, 840, 860 and 880 nm. Fig5.zip OMR data sets of goldfish for Steel's test OMR data sets of goldfish under light of 780, 800, 820, 840, 860, 880 and 950 nm. SteelsComparison_Goldfish.zip ND: not determined, NA: data not available (fish did not show positive OMR)

日琉方言の準体形式:調査票とデータ集 作成者:小西 いずみ・阪上 健夫・岩﨑 凜太郎・河本 健汰・陳 港・西川 由佳・朴 校演・平井 偉在耶・福田 建 このデータセットは、日琉方言の準体形式の記述・対照のための調査票と、その調査票を用いた調査結果である。 調査票のほか、次の方言の調査結果データを含む(†は音声データ付)。詳細は readme_nmnl_data.pdf 参照。 福島県会津方言(報告者:福田建)山梨県奈良田方言(報告者:小西いずみ)†富山市方言(報告者:小西いずみ)福井県越前市方言(報告者:西川由佳)摂津方言1(報告者:岩﨑凜太郎)摂津方言2(報告者:陳 港)†広島市方言(報告者:河本健汰)長崎県佐世保方言(報告者:平井偉在耶)熊本市方言(報告者:阪上健夫) また、調査票の解説にあたる次の記事を含む。小西 いずみ・阪上 健夫・岩﨑 凜太郎・河本 健汰・陳 港・西川 由佳・朴 校演・平井 偉在耶・福田 建(2024)「日琉方言の準体形式調査票」『日本語学論集』第20号, pp.86(149)-104(131)

日琉方言の準体形式:調査票とデータ集 作成者:小西 いずみ・阪上 健夫・岩﨑 凜太郎・河本 健汰・陳 港・西川 由佳・朴 校演・平井 偉在耶・福田 建 このデータセットは、日琉方言の準体形式の記述・対照のための調査票と、その調査票を用いた調査結果である。 調査票のほか、次の方言の調査結果データを含む(†は音声データ付)。詳細は readme_nmnl_data.pdf 参照。 福島県会津方言(報告者:福田建)山梨県奈良田方言(報告者:小西いずみ)†富山市方言(報告者:小西いずみ)福井県越前市方言(報告者:西川由佳)摂津方言1(報告者:岩﨑凜太郎)摂津方言2(報告者:陳 港)†広島市方言(報告者:河本健汰)長崎県佐世保方言(報告者:平井偉在耶)熊本市方言(報告者:阪上健夫) また、調査票の解説にあたる次の記事を含む。小西 いずみ・阪上 健夫・岩﨑 凜太郎・河本 健汰・陳 港・西川 由佳・朴 校演・平井 偉在耶・福田 建(2024)「日琉方言の準体形式調査票」『日本語学論集』第20号, pp.86(149)-104(131)

The data table for the EoS OOS(DD2-FRG) with vector interactions(2 flavors) of the family Cold Neutron Star EoS with 1 parameters can be found via this link "compose.obspm.fr/eos/196" together with additional information on the EoS. The online service CompOSE provides data tables for different state of the art equations of state (EoS) ready for further usage in astrophysical applications, nuclear physics and beyond. CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual contributors. In particular, we gratefully acknowledge support by : CompStar, Research Networking Programs of the European Science Foundation (ESF) NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).

The data table for the EoS OOS(DD2-FRG) with vector interactions(2 flavors) of the family Cold Neutron Star EoS with 1 parameters can be found via this link "compose.obspm.fr/eos/196" together with additional information on the EoS. The online service CompOSE provides data tables for different state of the art equations of state (EoS) ready for further usage in astrophysical applications, nuclear physics and beyond. CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual contributors. In particular, we gratefully acknowledge support by : CompStar, Research Networking Programs of the European Science Foundation (ESF) NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).