cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2h5v5q
title: CCDC 2299523: Experimental Crystal Structure Determination

description: Related Article: Declan McKearney, Kyle MacDonald, Min Suk Kim, Vance E. Williams, Daniel B. Leznoff|2024|Dalton Trans.|53|938|doi:10.1039/D3DT03518B
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.cc2h5v6r
title: CCDC 2299524: Experimental Crystal Structure Determination

description: Related Article: Declan McKearney, Kyle MacDonald, Min Suk Kim, Vance E. Williams, Daniel B. Leznoff|2024|Dalton Trans.|53|938|doi:10.1039/D3DT03518B
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.cc1plc3r
title: CCDC 1566774: Experimental Crystal Structure Determination

description: Related Article: Ovender Singh, Anshu Singh, Ankur Maji, Rahul Chauhan, Puneet Gupta, Kaushik Ghosh|2024|Dalton Trans.|53|986|doi:10.1039/D3DT03282E
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.cc2h5v7s
title: CCDC 2299525: Experimental Crystal Structure Determination

description: Related Article: Declan McKearney, Kyle MacDonald, Min Suk Kim, Vance E. Williams, Daniel B. Leznoff|2024|Dalton Trans.|53|938|doi:10.1039/D3DT03518B
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.cc1plc4s
title: CCDC 1566775: Experimental Crystal Structure Determination

description: Related Article: Ovender Singh, Anshu Singh, Ankur Maji, Rahul Chauhan, Puneet Gupta, Kaushik Ghosh|2024|Dalton Trans.|53|986|doi:10.1039/D3DT03282E
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.cc2h412s
title: CCDC 2297784: Experimental Crystal Structure Determination

description: Related Article: Sheng-Yi Zhuang, Gang Wu, Jian-Da Sun, Jiangshan Zhang, Jiabin Xing, Yan Wu, Hui Wang, Zhan-Ting Li, Dan-Wei Zhang|2023|Org.Chem.Front.|11|414|doi:10.1039/D3QO01780J
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.cc2b8drs
title: CCDC 2153035: Experimental Crystal Structure Determination

description: Related Article: Abinash Pradhan, Sanand Sahoo, Saroj L. Samal|2024|CrystEngComm|26|312|doi:10.1039/D3CE01019H
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.cc2b8fhk
title: CCDC 2153058: Experimental Crystal Structure Determination

description: Related Article: Abinash Pradhan, Sanand Sahoo, Saroj L. Samal|2024|CrystEngComm|26|312|doi:10.1039/D3CE01019H
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.cc2b8fkm
title: CCDC 2153060: Experimental Crystal Structure Determination

description: Related Article: Abinash Pradhan, Sanand Sahoo, Saroj L. Samal|2024|CrystEngComm|26|312|doi:10.1039/D3CE01019H
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.cc2b8dst
title: CCDC 2153036: Experimental Crystal Structure Determination

description: Related Article: Abinash Pradhan, Sanand Sahoo, Saroj L. Samal|2024|CrystEngComm|26|312|doi:10.1039/D3CE01019H
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.cc2b8fjl
title: CCDC 2153059: Experimental Crystal Structure Determination

description: Related Article: Abinash Pradhan, Sanand Sahoo, Saroj L. Samal|2024|CrystEngComm|26|312|doi:10.1039/D3CE01019H
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.cc2h7by1
title: CCDC 2300973: Experimental Crystal Structure Determination

description: Related Article: Yi Xiao, Xiya Zhang, Yuqin Wang, Kaida Li, Guixia Wang, Xiangfei Kong, Jinhua Wang, Shiqing Li|2023|Org.Chem.Front.|11|401|doi:10.1039/D3QO01788E
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.cc2h7jjt
title: CCDC 2301146: Experimental Crystal Structure Determination

description: Related Article: Shingo Tsuji, Norihiro Tokitoh, Hiroko Yamada, Yoshiyuki Mizuhata|2024|Inorg.Chem.Front.|11|400|doi:10.1039/D3QI02183A
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.cc2h7jkv
title: CCDC 2301147: Experimental Crystal Structure Determination

description: Related Article: Shingo Tsuji, Norihiro Tokitoh, Hiroko Yamada, Yoshiyuki Mizuhata|2024|Inorg.Chem.Front.|11|400|doi:10.1039/D3QI02183A
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: 10.21227/xm4p-nx87
title: Type 2 Diabetes Dataset

description: This diabetes dataset was collected from 2000 people at the Frankfurt Hospital, Germany. There are eight features in the dataset. Among the 2000 samples, 684 people are Diabetes patients and the rest of them are normal. This dataset is available in the Kaggle repository. The eight features are given below.i. Pregnancies: To express the Number of pregnanciesii. Glucose: To express the Glucose level in bloodiii. BloodPressure: To express the Blood pressure measurementiv. SkinThickness: To express the thickness of the skinv. Insulin: To express the Insulin level in bloodvi. BMI: To express the Body mass indexvii. DiabetesPedigreeFunction: To express the Diabetes percentageviii. Age: To express the age
DOI: 10.6084/m9.figshare.20439837
title: Data set for the research article " <strong>Intestinal Microbiome and Maternal Mental Health: Preventing Parenting Stress and Enhancing Resilience in Mothers</strong> "

description:     
We conducted two studies to examine the links between intestinal microbiota, physical condition, and psychological state in nonclinical, postpartum Japanese women.  
<br>
&gt;Study 1
Study 1 is part of a Japanese research project entitled <em>The Principle of Human Social Brain-Mind Development. </em>For this portion of the project, we analyzed data from 339 participants  (mean age, 34.66 ± 4.81 years; range, 21–47 years). No participants had any psychological or physical disorders. We collected the data between January and February 2021. For each participant, we obtained written informed consent and collected a stool sample, and then gave them four questionnaires to complete at home: PSI (parenting stress), Multidimensional Physical Scale (MDPS, physical condition), and Mykinso Pro (dietary and lifestyle habits). We also collected information on socioeconomic status. 
<br>
&gt;Study 2
Study 2 is part of the Japanese research project entitled <em>Investigation of the Interrelationship among Mental, Physical and Intestinal Microbiota in Postpartum Mothers and Their Infants</em>. For this study, we analyzed data from 27 first-time mothers within three to six months after childbirth (mean age = 33.63 years, <em>SD </em>= 4.18, range 27 to 41 years). All participants visited The Baby Laboratory at Kyoto University. 
Participants visited the lab twice. At the first visit, we collected the physical data and administered the questionnaires: the Japanese version of the Resilience Scale (RS25 and J-RS, psychological resilience) and the Center for Epidemiological Studies-Depression scale (CESD). The physical measurements used to assess physical composition and function were as follows: (1) BMI, body fat percentage, SMI, and extracellular water/total body water ratio (ECW/TBW) (InBody 770 multi-frequency bioelectrical impedance device, InBody Japan Inc., Tokyo); (2) grip strength of the dominant hand, which is considered to reflect the muscular strength of the whole body; (3) the two-step test for risk of the locomotive syndrome; a lower score indicates weak gait function including muscle strength, balance, and flexibility of the lower limbs; (4) normal and maximum gait speed for 5 m; lower gait speed score also indicates declining motor function in the lower limbs.
At the second visit, we collected saliva samples to measure oxytocin, collected three minutes of resting ECG data to assess the autonomic nervous system (i.e., cardiac sympathetic and cardiac vagal index; based on Toichi et al., 1997), administered the PSI, and collected information on age, years of education, and breastfeeding schedule. Although we asked the participants to visit twice within the same week if they could, the mean interval between the two visits was 7.74 days (<em>SD </em>= 8.19 days). To evaluate the intestinal microbiota, participants collected stool samples at home within two or three days after the second visit.
DOI: 10.6084/m9.figshare.24530404
title: <b>Forelimb muscle activation patterns in American alligators: insights into the evolution of limb posture and powered flight in archosaurs</b>

description: The evolution of archosaurs provides an important context for understanding the mechanisms behind major functional transformations in vertebrates, such as shifts from sprawling to erect limb posture and the acquisition of powered flight. While comparative anatomy and ichnology of extinct archosaurs have offered insights into musculoskeletal and gait changes associated with locomotor transitions, reconstructing the evolution of motor control requires data from extant species. However, the scarcity of electromyography (EMG) data from the forelimb, especially of crocodylians, has hindered understanding of neuromuscular evolution in archosaurs. Here, we present EMG data for nine forelimb muscles from American alligators during terrestrial locomotion. Our aim was to investigate the modulation of motor control across different limb postures and examine variations in motor control across phylogeny and locomotor modes. Among the nine muscles examined, m. pectoralis, the largest forelimb muscle and primary shoulder adductor, exhibited significantly smaller mean EMG amplitudes for steps in which the shoulder was more adducted (<i>i.e.</i>, upright). This suggests that using a more adducted limb posture helps to reduce forelimb muscle force and work during stance. As larger alligators use a more adducted shoulder and hip posture, the sprawling to erect postural transition that occurred in the Triassic could be either the cause or consequence of the evolution of larger body size in archosaurs. Comparisons of EMG burst phases among tetrapods revealed that a bird and turtle, which have experienced major musculoskeletal transformations, displayed distinctive burst phases in comparison to those from an alligator and lizard. These results support the notion that major shifts in body plan and locomotor modes among sauropsid lineages were associated with significant changes in muscle activation patterns.
DOI: 10.6084/m9.figshare.24530404.v1
title: <b>Forelimb muscle activation patterns in American alligators: insights into the evolution of limb posture and powered flight in archosaurs</b>

description: The evolution of archosaurs provides an important context for understanding the mechanisms behind major functional transformations in vertebrates, such as shifts from sprawling to erect limb posture and the acquisition of powered flight. While comparative anatomy and ichnology of extinct archosaurs have offered insights into musculoskeletal and gait changes associated with locomotor transitions, reconstructing the evolution of motor control requires data from extant species. However, the scarcity of electromyography (EMG) data from the forelimb, especially of crocodylians, has hindered understanding of neuromuscular evolution in archosaurs. Here, we present EMG data for nine forelimb muscles from American alligators during terrestrial locomotion. Our aim was to investigate the modulation of motor control across different limb postures and examine variations in motor control across phylogeny and locomotor modes. Among the nine muscles examined, m. pectoralis, the largest forelimb muscle and primary shoulder adductor, exhibited significantly smaller mean EMG amplitudes for steps in which the shoulder was more adducted (<i>i.e.</i>, upright). This suggests that using a more adducted limb posture helps to reduce forelimb muscle force and work during stance. As larger alligators use a more adducted shoulder and hip posture, the sprawling to erect postural transition that occurred in the Triassic could be either the cause or consequence of the evolution of larger body size in archosaurs. Comparisons of EMG burst phases among tetrapods revealed that a bird and turtle, which have experienced major musculoskeletal transformations, displayed distinctive burst phases in comparison to those from an alligator and lizard. These results support the notion that major shifts in body plan and locomotor modes among sauropsid lineages were associated with significant changes in muscle activation patterns.
DOI: 10.5281/zenodo.10517209
title: Dissecting the changes in bacterial metaproteomics during primary succession in a retreating glacier form the Tibetan plateau
DOI: 10.5281/zenodo.10517210
title: Dissecting the changes in bacterial metaproteomics during primary succession in a retreating glacier form the Tibetan plateau
DOI: 10.21227/xm3r-4846
title: IOT DHT22 sensor data

description: The accuracy of temperature & humidity prediction directly affects indoor environmental control, and current predictions mainly focus on time modeling, lacking spatiotemporal modeling based prediction for distributed sensors installed in buildings. Therefore, this article proposes an indoor temperature and humidity prediction method based on spatiotemporal modeling and transfer learning of informer. A IOT platform is designed with 8 temperature & humidity integrated sensors in a public building. The node closest to the air conditioner is assigned as the two-dimensional spatial coordinate origin, and a traversal spatiotemporal dataset is constructed according to different combinations of time interval and distance. The transfered Informer model is adopted to predict the temperature & humidity of the other nodes based on the data of the coordinate origin. Two prediction models are performed  including  weather classification based spatiotemporal model and full parameter spatiotemporal model. The experimental results show that the overall prediction error of the spatiotemporal model based on weather classification is relatively small, but the universality of full parameter spatiotemporal model is better.
DOI: 10.6084/m9.figshare.25010591
title: Experts' assessment data.xlsx

description: There are many different types of scientific design thinking methods, but it is necessary to analyze the applicability of the methods to the characteristics of the design teaching curriculum in universities. Therefore, this study assesses the applicability of design thinking in terms of “design practice”and “locality”based on the local design education philosophy and the characteristics of the students and majors.
DOI: 10.6084/m9.figshare.25010591.v1
title: Experts' assessment data.xlsx

description: There are many different types of scientific design thinking methods, but it is necessary to analyze the applicability of the methods to the characteristics of the design teaching curriculum in universities. Therefore, this study assesses the applicability of design thinking in terms of “design practice”and “locality”based on the local design education philosophy and the characteristics of the students and majors.
DOI: 10.6084/m9.figshare.25010522
title: <b>Improving the Productivity of Common</b> <b>Bean</b><b> </b><b>(</b><i>Phaseolus Vulgaris</i> L<b>.)</b><b> </b><b>Using the Optimum Blended Inorganic Fertilizer Rate Recommendation</b>

description: <b>Improving the Productivity of Common</b> <b>Bean</b><b> </b><b>(</b><i>Phaseolus Vulgaris</i> L<b>.)</b><b> </b><b>Using the Optimum Blended Inorganic Fertilizer Rate Recommendation</b>
DOI: 10.6084/m9.figshare.25010522.v2
title: <b>Improving the Productivity of Common</b> <b>Bean</b><b> </b><b>(</b><i>Phaseolus Vulgaris</i> L<b>.)</b><b> </b><b>Using the Optimum Blended Inorganic Fertilizer Rate Recommendation</b>

description: <b>Improving the Productivity of Common</b> <b>Bean</b><b> </b><b>(</b><i>Phaseolus Vulgaris</i> L<b>.)</b><b> </b><b>Using the Optimum Blended Inorganic Fertilizer Rate Recommendation</b>
DOI: 10.6084/m9.figshare.25010522.v1
title: Untit<b>Improving the Productivity of Common</b> <b>Bean</b><b> </b><b>(</b><i>Phaseolus Vulgaris</i> L<b>.)</b><b> </b><b>Using the Optimum Blended Inorganic Fertilizer Rate Recommendation</b>

description: <b>Improving the Productivity of Common</b> <b>Bean</b><b> </b><b>(</b><i>Phaseolus Vulgaris</i> L<b>.)</b><b> </b><b>Using the Optimum Blended Inorganic Fertilizer Rate Recommendation</b>
DOI: 10.5281/zenodo.10521247
title: The effect of student teacher relationship on the process of teaching and learning
DOI: 10.5281/zenodo.10521248
title: The effect of student teacher relationship on the process of teaching and learning
DOI: 10.21227/b335-p648
title: Zebrafish Motion

description: This zebrafish motion dataset containsThis zebrafish motion dataset contains four young (3-month-post fertilization [mpf]) and old fish (18 mpf) were housed in 150mm square glass tanks (Crystal Cube 150/B, Kotobuki Kogei, Nara, Japan). Behavioral videos were recorded using a Panasonic video camera (HC-V480MS, Panasonic, Osaka, Japan). To reduce the stress of capture during the transfer from the rearing tank to the experimental tank, a 10-minute acclimation period was provided within the experimental tank. Afterward, 40 minutes of recording were conducted. To confine the movement of the test fish to a two-dimensional plane, a water depth of 30mm was set. In addition, the white paper was placed on the bottom of the tank and the ground surface to facilitate the analysis of the behavior of the test fish.
DOI: 10.21227/fjgv-bf06
title: Motor points of forearm muscles

description: Often, anatomical charts and manual search techniques are used to extract individual specific stimulation profile. Such information being heterogenous they lack standardization and reproducibility. To address these limitations; we aim to identify, localize and characterize the motor points along the forearm muscles. Sites that allowed motor point-based stimulation were identified among nine healthy participants. The applicably of this data was emphasized for wearable neuroprostheses that aim to restore hand function tasks here:https://doi.org/10.1109/TBME.2019.2907926.
DOI: 10.18112/openneuro.ds003643.v2.0.4
title: Le Petit Prince: A multilingual fMRI corpus using ecological stimuli
DOI: 10.5281/zenodo.7858207
title: Data for figures and tables in "Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument"

description: Supplementary material to DESI's publication 'Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument' to comply with the data management plan.