cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22082243.v1
title: Table 1. Average weekly load in practices and matches

description: The subjects included in this study were 18 male soccer players (mean age: 19.84±1.04 years, mean height: 176.41±7.25 cm, mean weight: 72.05±6.40 kg) affiliated with a university club. The top nine [A1] players who accumulated 50% or more of the total playing time in 11 official matches between May and July 2022 were classified into the R group.[A2] The bottom nine players who accumulated less than 50% of the total playing time in 11 official matches were classified into the NR group. Table 1 illustrates the practice and game time for each group. With the official and practice matches combined, the NR group played for approximately 62.9% of the time as compared with the R group. There were no differences in terms of training time between the R and NR groups. This study was conducted in accordance with the principles embodied in the Declaration of Helsinki [A3] and was approved by the Research Ethics Committee of Fukuoka University (approval no.: 22-01-03)[A4] . Additionally, informed consent was obtained from all participants. [A1]Numbers less than 10 are written out unless they are accompanied with a unit [A2]These abbreviations were already defined [A3]I have inserted this statement regarding compliance with the Declaration of Helsinki here in order to better reflect your study’s adherence to <em>Science and Medicine in Football</em>’s policies on research ethics, as expressed in the following underlined instructions from the formatting guidelines of your target journal. Please verify that my insertions here are acceptable for you. "<strong>Complying with Ethics of Experimentation</strong> Please ensure that all research reported in submitted papers has been conducted in an ethical and responsible manner, and is in full compliance with all relevant codes of experimentation and legislation. All original research papers involving humans, animals, plants, biological material, protected or non-public datasets, collections or sites, must include a written statement in the Methods section, confirming ethical approval has been obtained from the appropriate local ethics committee or Institutional Review Board and that where relevant, informed consent has been obtained. For animal studies, approval must have been obtained from the local or institutional animal use and care committee. All research studies on humans (individuals, samples, or data) must have been performed in accordance with the principles stated in the Declaration of Helsinki. In settings where ethics approval for non-interventional studies (e.g. surveys) is not required, authors must include a statement to explain this." [A4]For transparency, please also indicate the ethics approval number here.
DOI: 10.6084/m9.figshare.22082243.v2
title: Table 1. Average weekly load in practices and matches

description: The subjects included in this study were 18 male soccer players (mean age: 19.84±1.04 years, mean height: 176.41±7.25 cm, mean weight: 72.05±6.40 kg) affiliated with a university club. The top nine [A1] players who accumulated 50% or more of the total playing time in 11 official matches between May and July 2022 were classified into the R group.[A2] The bottom nine players who accumulated less than 50% of the total playing time in 11 official matches were classified into the NR group. Table 1 illustrates the practice and game time for each group. With the official and practice matches combined, the NR group played for approximately 62.9% of the time as compared with the R group. There were no differences in terms of training time between the R and NR groups. This study was conducted in accordance with the principles embodied in the Declaration of Helsinki [A3] and was approved by the Research Ethics Committee of Fukuoka University (approval no.: 22-01-03)[A4] . Additionally, informed consent was obtained from all participants. [A1]Numbers less than 10 are written out unless they are accompanied with a unit [A2]These abbreviations were already defined [A3]I have inserted this statement regarding compliance with the Declaration of Helsinki here in order to better reflect your study’s adherence to <em>Science and Medicine in Football</em>’s policies on research ethics, as expressed in the following underlined instructions from the formatting guidelines of your target journal. Please verify that my insertions here are acceptable for you. "<strong>Complying with Ethics of Experimentation</strong> Please ensure that all research reported in submitted papers has been conducted in an ethical and responsible manner, and is in full compliance with all relevant codes of experimentation and legislation. All original research papers involving humans, animals, plants, biological material, protected or non-public datasets, collections or sites, must include a written statement in the Methods section, confirming ethical approval has been obtained from the appropriate local ethics committee or Institutional Review Board and that where relevant, informed consent has been obtained. For animal studies, approval must have been obtained from the local or institutional animal use and care committee. All research studies on humans (individuals, samples, or data) must have been performed in accordance with the principles stated in the Declaration of Helsinki. In settings where ethics approval for non-interventional studies (e.g. surveys) is not required, authors must include a statement to explain this." [A4]For transparency, please also indicate the ethics approval number here.
DOI: 10.6084/m9.figshare.21842616
title: Supplementary_Crowd Management Knowledge Mapping Using Citation Data and Bibliometric Analysis_Full Result.xlsx

description: <strong>Crowd Management Knowledge Mapping Using Citation Data and Bibliometric Analysis</strong>
DOI: 10.6084/m9.figshare.21842616.v2
title: Supplementary_Crowd Management Knowledge Mapping Using Citation Data and Bibliometric Analysis_Full Result.xlsx

description: <strong>Crowd Management Knowledge Mapping Using Citation Data and Bibliometric Analysis</strong>
DOI: 10.6084/m9.figshare.21842616.v1
title: Supplementary_Crowd Management Knowledge Mapping Using Citation Data and Bibliometric Analysis_Full Result.xlsx

description: <strong>Crowd Management Knowledge Mapping Using Citation Data and Bibliometric Analysis</strong>
DOI: 10.6084/m9.figshare.22082261
title: Table 2. Average weekly load in practices and matches

description: The physical load generated during training and competition was assessed utilizing a Catapult Vector X7 GPS device (GPS frequency: 10 Hz, built-in accelerometer frequency: 100 Hz) that was integrated into a specialized vest. In addition, each participant wore the same device to eliminate variations resulting from individual device differences (Malone et al. 2016). All training and match data were recorded for a total of 12 weeks. After recording, the data were downloaded to a personal computer and analyzed using Open Field Cloud Catapult, which is a specialized analysis cloud. The GPS device was used to measure the following parameters: total distance [TD] (m), high-speed running [HSR] (m, 19.8–25.1 km/h), number of high-speed running [HSC] (n, 19.8–25.2 km/h), sprint distance [SD] (m, ≥25.2 km/h), number of sprints [SC] (n, ≥25.2 km/h), repeat high-intensity efforts [RHIE*1](n), acceleration [Acc](n, ≥2.0 m/s2), and deceleration [Dec] (n, ≥-2.0 m/s2). The total values for one week were averaged and calculated. **p&lt;0.01, *p&lt;0.05
DOI: 10.6084/m9.figshare.22082261.v1
title: Table 2. Average weekly load in practices and matches

description: The physical load generated during training and competition was assessed utilizing a Catapult Vector X7 GPS device (GPS frequency: 10 Hz, built-in accelerometer frequency: 100 Hz) that was integrated into a specialized vest. In addition, each participant wore the same device to eliminate variations resulting from individual device differences (Malone et al. 2016). All training and match data were recorded for a total of 12 weeks. After recording, the data were downloaded to a personal computer and analyzed using Open Field Cloud Catapult, which is a specialized analysis cloud. The GPS device was used to measure the following parameters: total distance [TD] (m), high-speed running [HSR] (m, 19.8–25.1 km/h), number of high-speed running [HSC] (n, 19.8–25.2 km/h), sprint distance [SD] (m, ≥25.2 km/h), number of sprints [SC] (n, ≥25.2 km/h), repeat high-intensity efforts [RHIE*1](n), acceleration [Acc](n, ≥2.0 m/s2), and deceleration [Dec] (n, ≥-2.0 m/s2). The total values for one week were averaged and calculated. **p&lt;0.01, *p&lt;0.05
DOI: 10.6084/m9.figshare.22081364
title: Table4. Profile of mood states (POMS)

description: Table 4 presents the results of the mood scale recorded for the R and NR groups. In the post-measurement, the NR group displayed significantly higher scores in the “depression-depression” category (p&lt;0.05). There were no significant differences between the R and NR groups or between pre- and post-measurements in the categories of “anger-hostility,” “confusion-perplexity,” “fatigue-lethargy,” “tension-anxiety,” “vitality-energy,” “friendliness,” and “TMD score.” Values are expressed as mean ± SD. *Significant difference between tests at the p &lt; 0.05 level.
DOI: 10.6084/m9.figshare.22081364.v3
title: Table4. Profile of mood states (POMS)

description: Table 4 presents the results of the mood scale recorded for the R and NR groups. In the post-measurement, the NR group displayed significantly higher scores in the “depression-depression” category (p&lt;0.05). There were no significant differences between the R and NR groups or between pre- and post-measurements in the categories of “anger-hostility,” “confusion-perplexity,” “fatigue-lethargy,” “tension-anxiety,” “vitality-energy,” “friendliness,” and “TMD score.” Values are expressed as mean ± SD. *Significant difference between tests at the p &lt; 0.05 level.
DOI: 10.34740/kaggle/dsv/4982453
title: Cotton plant disease 🌱🍂🍂🌱
DOI: 10.34740/kaggle/dsv/4982455
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.7632398
title: Advancing Forest Monitoring and Assessment Through Immersive Virtual Reality

description: The materials that enable the development of the Forest VR Application and the datasets along with the analysis code that support the findings of this study are openly available. The dataset include a Digital Terrain Model, Pano Images, Pano Videos, Sounds, LAS-format data, as well as R Scripts for analysis of the included questionnaire, respectively raw excel sheets. The Application is not standalone (Unity bound) and a prototype.
DOI: 10.5281/zenodo.7632399
title: Advancing Forest Monitoring and Assessment Through Immersive Virtual Reality

description: The materials that enable the development of the Forest VR Application and the datasets along with the analysis code that support the findings of this study are openly available. The dataset include a Digital Terrain Model, Pano Images, Pano Videos, Sounds, LAS-format data, as well as R Scripts for analysis of the included questionnaire, respectively raw excel sheets. The Application is not standalone (Unity bound) and a prototype.
DOI: 10.5281/zenodo.7632474
title: Advancing Forest Monitoring and Assessment Through Immersive Virtual Reality

description: The materials that enable the development of the Forest VR Application and the datasets along with the analysis code that support the findings of this study are openly available. The dataset include a Digital Terrain Model, Pano Images, Pano Videos, Sounds, LAS-format data, as well as R Scripts for analysis of the included questionnaire, respectively raw excel sheets. The Application is not standalone (Unity bound) and a prototype.
DOI: 10.34740/kaggle/dsv/4982550
title: Mahanagar Yatayat Dataset
DOI: 10.3886/e130783v1-132461
title: Data and code for: Improving Preferential Market Access Through Rules of Origin: Firm-level Evidence from Bangladesh

description: In countries where there exist limited opportunities to source inputs locally, rules of origin undermine access to preferential trade agreements for final-goods exporters. I analyze the 2011 revision to the rules of origin associated with the EU’s Generalized System of Preferences, which allowed apparel producers in least-developed countries (LDCs) to use internationally-sourced textiles in exported products. Using transaction-level data on Bangladeshi apparel firms, I find the rules of origin effectively cut the preferential margin by three-fourths. Liberalizing the rules of origin resulted in firm-level revenue growth, which was driven by the intensive margin through increased shipment sizes and quality upgrading.
DOI: 10.14272/lisfmebwquvkpj-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1H-quinolin-2-one)
title: InChI=1S/C9H7NO/c11-9-6-5-7-3-1-2-4-8(7)10-9/h1-6H,(H,10,11)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, DMSO-d6 [39.5 ppm], ppm) δ = 161.9 (1C, Cq), 140.2 (1C, CHAr), 138.9 (1C, Cq), 130.3 (1C, CHAr), 127.9 (1C, CHAr), 121.9 (1C, CHAr), 121.7 (1C, CHAr), 119.1 (1C, Cq), 115.1 (1C, CHAr).
DOI: 10.14272/lisfmebwquvkpj-uhfffaoysa-n.1
title: 1H-quinolin-2-one
title: InChI=1S/C9H7NO/c11-9-6-5-7-3-1-2-4-8(7)10-9/h1-6H,(H,10,11)

description: This dataset contains experimental data from a sample (1H-quinolin-2-one, InChI=1S/C9H7NO/c11-9-6-5-7-3-1-2-4-8(7)10-9/h1-6H,(H,10,11)). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/lisfmebwquvkpj-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (1H-quinolin-2-one)
title: InChI=1S/C9H7NO/c11-9-6-5-7-3-1-2-4-8(7)10-9/h1-6H,(H,10,11)

description: dataset for distortionless enhancement with polarization transfer (DEPT) 13C NMR (100 MHz, DMSO-d6 [39.5 ppm], ppm) δ = 140.2 (1C, CHAr), 130.3 (1C, CHAr), 127.9 (1C, CHAr), 121.9 (1C, CHAr), 121.7 (1C, CHAr), 115.1 (1C, CHAr).
DOI: 10.14272/lisfmebwquvkpj-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (1H-quinolin-2-one)
title: InChI=1S/C9H7NO/c11-9-6-5-7-3-1-2-4-8(7)10-9/h1-6H,(H,10,11)

description: dataset for distortionless enhancement with polarization transfer (DEPT) 13C NMR (100 MHz, DMSO-d6 [39.5 ppm], ppm) δ = 140.2 (1C, CHAr), 130.3 (1C, CHAr), 127.9 (1C, CHAr), 121.9 (1C, CHAr), 121.7 (1C, CHAr), 115.1 (1C, CHAr).
DOI: 10.14272/lisfmebwquvkpj-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (1H-quinolin-2-one)
title: InChI=1S/C9H7NO/c11-9-6-5-7-3-1-2-4-8(7)10-9/h1-6H,(H,10,11)

description: dataset for mass spectrometry (MS) MS (EI, m/z, 70 eV, 80 °C): 145 [M]+ (100), 117 (35), 90 (18), 89 (18). HRMS (C9H7O1N1): calcd 145.0522, found 145.0524.
DOI: 10.14272/lisfmebwquvkpj-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1H-quinolin-2-one)
title: InChI=1S/C9H7NO/c11-9-6-5-7-3-1-2-4-8(7)10-9/h1-6H,(H,10,11)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6 [2.50 ppm], ppm) δ = 10.89 (s, 1H, NH), 7.06 (d, J = 9.5 Hz, 1H, CHAr), 6.81 (dd, J = 0.9 Hz, J = 7.8 Hz, 1H, CHAr), 6.67–6.63 (m, 1H, CHAr), 6.46 (d, J = 8.1 Hz, 1H, CHAr), 6.35–6.31 (m, 1H, CHAr), 5.65 (d, J = 9.5 Hz, 1H, CHAr).
DOI: 10.14272/lisfmebwquvkpj-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (1H-quinolin-2-one)
title: InChI=1S/C9H7NO/c11-9-6-5-7-3-1-2-4-8(7)10-9/h1-6H,(H,10,11)

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2989 (m), 2959 (m), 2932 (m), 2887 (m), 2846 (m), 1635 (vs), 1596 (vs), 1553 (vs), 1499 (s), 1468 (s), 1425 (vs), 1394 (vs), 1350 (s), 1282 (s), 1255 (s), 1211 (vs), 1153 (s), 1135 (s), 1116 (s), 1026 (s), 1006 (s), 945 (s), 864 (s), 832 (vs), 773 (s), 755 (vs), 728 (vs), 616 (vs), 530 (vs), 503 (vs), 486 (vs), 465 (vs), 452 (vs) cm–1.
DOI: 10.21227/zqt3-yw55
title: measured_times_for_voice_control_efficiency_study

description: Cars, mobile phones, and smart home devices already provide automatic speech recognition (ASR) by default. However, human machine interfaces (HMI) in industrial settings, as opposed to consumer settings, operate under different conditions and thus, present different design challenges. Voice control, arguably the most natural form of communication, has the potential to shorten complex command sequences and menu structures in order to directly execute a final command. Therefore, this contribution explored how differing HMI scenarios could possibly be optimized, by either replacing or complementing existing touch control interactions with voice control. Typical machine commands from CNC milling machines and industrial robots were categorized by their complexity, quantified by menu level and the necessary number of interactions. The collected interaction data showed that voice control can already provide a time efficiency advantage at either one additional menu level or three touchscreen interactions. For complex machine commands, such as those needing five menu levels and seven interactions on the touchscreen, the time efficiency advantage of voice control can reach up to 67 %. Furthermore, the study shows the possibility of reducing machine operator training times when using voice control by significantly lower interaction times for the first repetition of the participants.
DOI: 10.13140/rg.2.2.29055.28320
title: GuangZhou DouBan Events 2022
DOI: 10.13140/rg.2.2.22344.39685
title: GuangZhou DouBan Events 2022
DOI: 10.13140/rg.2.2.11439.20646
title: GuangZhou DouBan Events 2022
DOI: 10.21227/b5y6-7147
title: term_name_generation

description: We build a large-scale dataset for term name generation, which contains the GO terms about Homo sapiens (humankind and yeast). We collect the term ID, term name and the corresponding genes’ ID from \href{http://geneontology.org/}{Gene Ontology Consortium}. In addition, the gene alias and descriptions are crawled from \href{https://www.genecards.org/}{GeneCards}, which contains the information from the website itself, Entrez (Online Resource Retriever provided by the National Center for Biotechnology Information), \href{https://www.uniprot.org/}{UniProt} and \href{http://www.gpmaw.com/html/swiss-prot.html}{SWISS-PROT} (A database of annotated protein sequences maintained by the European Bioinformatics Institute (EBI)).
DOI: 10.5517/ccdc.csd.cc2chvnd
title: CCDC 2189984: Experimental Crystal Structure Determination

description: Related Article: Bingyue Zhao, Xiaoxian Li, Xiaofan Wang, Luchen Jiang, Zhe Li, Yunfei Du|2023|J.Org.Chem.|88|1493|doi:10.1021/acs.joc.2c02480
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.cc2cn8v5
title: CCDC 2194237: Experimental Crystal Structure Determination

description: Related Article: Hui-Peng Lv, Yi-Rong Li, Xian-Jiang Song, Nan Zhang, Ren-Gen Xiong, Han-Yue Zhang|2023|J.Am.Chem.Soc.|145|3187|doi:10.1021/jacs.2c12951
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.cc2cn8y8
title: CCDC 2194240: Experimental Crystal Structure Determination

description: Related Article: Hui-Peng Lv, Yi-Rong Li, Xian-Jiang Song, Nan Zhang, Ren-Gen Xiong, Han-Yue Zhang|2023|J.Am.Chem.Soc.|145|3187|doi:10.1021/jacs.2c12951
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.cc2cn8z9
title: CCDC 2194241: Experimental Crystal Structure Determination

description: Related Article: Hui-Peng Lv, Yi-Rong Li, Xian-Jiang Song, Nan Zhang, Ren-Gen Xiong, Han-Yue Zhang|2023|J.Am.Chem.Soc.|145|3187|doi:10.1021/jacs.2c12951
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.cc2d39b5
title: CCDC 2207706: Experimental Crystal Structure Determination

description: Related Article: Chikkagundagal K. Mahesha, Somnath Arjun Borade, Disha Tank, Kiran Bajaj, Himanshi Bhambri, Sanjay K. Mandal, Rajeev Sakhuja|2023|J.Org.Chem.|88|1457|doi:10.1021/acs.joc.2c02437
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.cc2d8832
title: CCDC 2212473: Experimental Crystal Structure Determination

description: Related Article: Mingyu Hou, Yimin Xiang, Jingyu Gao, Jingyu Zhang, Nengzhong Wang, Haolin Shi, Nianyu Huang, Hui Yao|2023|Org.Lett.|25|832|doi:10.1021/acs.orglett.2c04379
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.cc2d8865
title: CCDC 2212476: Experimental Crystal Structure Determination

description: Related Article: Mingyu Hou, Yimin Xiang, Jingyu Gao, Jingyu Zhang, Nengzhong Wang, Haolin Shi, Nianyu Huang, Hui Yao|2023|Org.Lett.|25|832|doi:10.1021/acs.orglett.2c04379
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.cc2d8887
title: CCDC 2212478: Experimental Crystal Structure Determination

description: Related Article: Mingyu Hou, Yimin Xiang, Jingyu Gao, Jingyu Zhang, Nengzhong Wang, Haolin Shi, Nianyu Huang, Hui Yao|2023|Org.Lett.|25|832|doi:10.1021/acs.orglett.2c04379
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.