cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fmbbr
title: CCDC 2252904: Experimental Crystal Structure Determination

description: Related Article: Denis V. Korchagin, Aleksandra V. Tiunova, Anna V. Kazakova, Gennady V. Shilov, Aleksei I. Dmitriev, Mikhail V. Zhidkov, Konstantin V. Zakharov, Eduard B. Yagubskii|2023|Inorg.Chem.Commun.|156|111208|doi:10.1016/j.inoche.2023.111208
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.cc2fmbcs
title: CCDC 2252905: Experimental Crystal Structure Determination

description: Related Article: Denis V. Korchagin, Aleksandra V. Tiunova, Anna V. Kazakova, Gennady V. Shilov, Aleksei I. Dmitriev, Mikhail V. Zhidkov, Konstantin V. Zakharov, Eduard B. Yagubskii|2023|Inorg.Chem.Commun.|156|111208|doi:10.1016/j.inoche.2023.111208
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.cc2fw00c
title: CCDC 2260272: Experimental Crystal Structure Determination

description: Related Article: Jonathan Z. Shezaf, Catherine G. Santana, Connor Saludares, Edward S. Briceno, Ken Sakata, Michael J. Krische|2023|J.Am.Chem.Soc.|145|18676|doi:10.1021/jacs.3c06734
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.cc2fw01d
title: CCDC 2260273: Experimental Crystal Structure Determination

description: Related Article: Jonathan Z. Shezaf, Catherine G. Santana, Connor Saludares, Edward S. Briceno, Ken Sakata, Michael J. Krische|2023|J.Am.Chem.Soc.|145|18676|doi:10.1021/jacs.3c06734
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.cc2fw02f
title: CCDC 2260274: Experimental Crystal Structure Determination

description: Related Article: Jonathan Z. Shezaf, Catherine G. Santana, Connor Saludares, Edward S. Briceno, Ken Sakata, Michael J. Krische|2023|J.Am.Chem.Soc.|145|18676|doi:10.1021/jacs.3c06734
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.cc2fwykv
title: CCDC 2261188: Experimental Crystal Structure Determination

description: Related Article: Diksha Rajput, Gowsia Jan, Muthu Karuppasamy, Nattamai Bhuvanesh, Subbiah Nagarajan, C. Uma Maheswari, J. Carlos Menéndez, Vellaisamy Sridharan|2023|J.Org.Chem.|88|11778|doi:10.1021/acs.joc.3c01082
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: 10.5281/zenodo.8298125
title: agave_tequilana_zanfona_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8298124
title: agave_tequilana_zanfona_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24050709
title: A Negative Correlation Strategy for Bracketing in Difference-in-Differences

description: The method of difference-in-differences (DID) is widely used to study the causal effect of policy interventions in observational studies. DID employs a before and after comparison of the treated and control units to remove bias due to time-invariant unmeasured confounders under the parallel trends assumption. Estimates from DID, however, will be biased if the outcomes for the treated and control units evolve differently in the absence of treatment, namely if the parallel trends assumption is violated. We propose a general identification strategy that leverages two groups of control units whose outcomes relative to the treated units exhibit a negative correlation, and achieves partial identification of the average treatment effect for the treated. The identified set is of a union bounds form that involves the minimum and maximum operators, which makes the canonical bootstrap generally inconsistent and naive methods overly conservative. By utilizing the directional inconsistency of the bootstrap distribution, we develop a novel bootstrap method to construct confidence intervals for the identified set and parameter of interest when the identified set is of a union bounds form, and we theoretically establish the asymptotic validity of the proposed method. We develop a simple falsification test and sensitivity analysis. We apply the proposed strategy for bracketing to study whether minimum wage laws affect employment levels.
DOI: 10.6084/m9.figshare.24050709.v1
title: A Negative Correlation Strategy for Bracketing in Difference-in-Differences

description: The method of difference-in-differences (DID) is widely used to study the causal effect of policy interventions in observational studies. DID employs a before and after comparison of the treated and control units to remove bias due to time-invariant unmeasured confounders under the parallel trends assumption. Estimates from DID, however, will be biased if the outcomes for the treated and control units evolve differently in the absence of treatment, namely if the parallel trends assumption is violated. We propose a general identification strategy that leverages two groups of control units whose outcomes relative to the treated units exhibit a negative correlation, and achieves partial identification of the average treatment effect for the treated. The identified set is of a union bounds form that involves the minimum and maximum operators, which makes the canonical bootstrap generally inconsistent and naive methods overly conservative. By utilizing the directional inconsistency of the bootstrap distribution, we develop a novel bootstrap method to construct confidence intervals for the identified set and parameter of interest when the identified set is of a union bounds form, and we theoretically establish the asymptotic validity of the proposed method. We develop a simple falsification test and sensitivity analysis. We apply the proposed strategy for bracketing to study whether minimum wage laws affect employment levels.
DOI: 10.26302/sshade/bandlist_raman_fe-magnesite
title: Raman bandlist of natural Ferroan Magnesite

description: MIR-FIR Raman bandlist of natural Ferroan Magnesite (0.05 &lt; Fe &lt; 0.5) at 295K
DOI: 10.6084/m9.figshare.24050781
title: AMCrackGenerationPaperData.xlsx

description: Graph co-ordinates
DOI: 10.6084/m9.figshare.24050781.v1
title: AMCrackGenerationPaperData.xlsx

description: Graph co-ordinates
DOI: 10.5517/ccdc.csd.cc2dych7
title: CCDC 2232759: Experimental Crystal Structure Determination

description: Related Article: Atousa Khanzadeh, Saeed Ataie, R. Tom Baker|2023|Dalton Trans.|52|11768|doi:10.1039/D3DT01651J
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.cc2dycj8
title: CCDC 2232760: Experimental Crystal Structure Determination

description: Related Article: Atousa Khanzadeh, Saeed Ataie, R. Tom Baker|2023|Dalton Trans.|52|11768|doi:10.1039/D3DT01651J
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.cc2f307t
title: CCDC 2237215: Experimental Crystal Structure Determination

description: Related Article: Jack C. Dorrat, Rosemary J. Young, Christopher G. P. Taylor, Max B. Tipping, Andrew J. Blok, David R. Turner, Alasdair I. McKay, Simon Ovenden, Michael D. Ward, Genevieve H. Dennison, Kellie L. Tuck|2023|Dalton Trans.|52|11802|doi:10.1039/D3DT01378B
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: 10.6084/m9.figshare.24050820
title: 20230830_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24050820.v1
title: 20230830_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5517/ccdc.csd.cc2ghsqh
title: CCDC 2279297: Experimental Crystal Structure Determination

description: Related Article: Maura Pellei, Jo’ Del Gobbo, Miriam Caviglia, Deepika V. Karade, Valentina Gandin, Cristina Marzano, Anurag Noonikara Poyil, H. V. Rasika Dias, Carlo Santini|2023|Dalton Trans.|52|12098|doi:10.1039/D3DT02179C
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.cc2ghsrj
title: CCDC 2279298: Experimental Crystal Structure Determination

description: Related Article: Maura Pellei, Jo’ Del Gobbo, Miriam Caviglia, Deepika V. Karade, Valentina Gandin, Cristina Marzano, Anurag Noonikara Poyil, H. V. Rasika Dias, Carlo Santini|2023|Dalton Trans.|52|12098|doi:10.1039/D3DT02179C
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.cc2ghssk
title: CCDC 2279299: Experimental Crystal Structure Determination

description: Related Article: Maura Pellei, Jo’ Del Gobbo, Miriam Caviglia, Deepika V. Karade, Valentina Gandin, Cristina Marzano, Anurag Noonikara Poyil, H. V. Rasika Dias, Carlo Santini|2023|Dalton Trans.|52|12098|doi:10.1039/D3DT02179C
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.cc2g3v7p
title: CCDC 2267812: Experimental Crystal Structure Determination

description: Related Article: Karol Wydra, Vasyl Kinzhybalo, Jerzy Lisowski|2023|Dalton Trans.|52|11992|doi:10.1039/D3DT01948A
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.cc2g3v8q
title: CCDC 2267813: Experimental Crystal Structure Determination

description: Related Article: Karol Wydra, Vasyl Kinzhybalo, Jerzy Lisowski|2023|Dalton Trans.|52|11992|doi:10.1039/D3DT01948A
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.cc2g3v9r
title: CCDC 2267814: Experimental Crystal Structure Determination

description: Related Article: Karol Wydra, Vasyl Kinzhybalo, Jerzy Lisowski|2023|Dalton Trans.|52|11992|doi:10.1039/D3DT01948A
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.cc2g3vbs
title: CCDC 2267815: Experimental Crystal Structure Determination

description: Related Article: Karol Wydra, Vasyl Kinzhybalo, Jerzy Lisowski|2023|Dalton Trans.|52|11992|doi:10.1039/D3DT01948A
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.cc2g3vct
title: CCDC 2267816: Experimental Crystal Structure Determination

description: Related Article: Karol Wydra, Vasyl Kinzhybalo, Jerzy Lisowski|2023|Dalton Trans.|52|11992|doi:10.1039/D3DT01948A
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: 10.5281/zenodo.8185119
title: Human OPRM1 and murine Oprm1 promoter driven viral constructs for genetic access to μ-opioidergic cell-types

description: With concurrent global epidemics of chronic pain and opioid use disorders, there is a critical need to identify, target and manipulate specific cell populations expressing the mu-opioid receptor (MOR). However, available tools and transgenic models for gaining long-term genetic access to MOR+ neural cell-types and circuits involved in modulating pain, analgesia and addiction across species are limited. To address this, we developed a catalog of MOR promoter (<em>MORp</em>) based constructs packaged into adeno-associated viral vectors that drive transgene expression in MOR+ cells. <em>MORp</em> constructs designed from promoter regions upstream of the mouse <em>Oprm1</em> gene (<em>mMORp</em>) were validated for transduction efficiency and selectivity in endogenous MOR+ neurons in the brain, spinal cord, and periphery of mice, with additional studies revealing robust expression in rats, shrews, and human induced pluripotent stem cell (iPSC)-derived nociceptors. The use of <em>mMORp</em> for <em>in vivo</em> fiber photometry, behavioral chemogenetics, and intersectional genetic strategies is also demonstrated. Lastly, a human designed <em>MORp</em> (<em>hMORp</em>) efficiently transduced macaque cortical <em>OPRM1</em>+ cells. Together, our <em>MORp</em> toolkit provides researchers cell-type specific genetic access to target and functionally manipulate mu-opioidergic neurons across a range of vertebrate species and translational models for pain, addiction, and neuropsychiatric disorders.
DOI: 10.5281/zenodo.8185118
title: Human OPRM1 and murine Oprm1 promoter driven viral constructs for genetic access to μ-opioidergic cell-types

description: With concurrent global epidemics of chronic pain and opioid use disorders, there is a critical need to identify, target and manipulate specific cell populations expressing the mu-opioid receptor (MOR). However, available tools and transgenic models for gaining long-term genetic access to MOR+ neural cell-types and circuits involved in modulating pain, analgesia and addiction across species are limited. To address this, we developed a catalog of MOR promoter (<em>MORp</em>) based constructs packaged into adeno-associated viral vectors that drive transgene expression in MOR+ cells. <em>MORp</em> constructs designed from promoter regions upstream of the mouse <em>Oprm1</em> gene (<em>mMORp</em>) were validated for transduction efficiency and selectivity in endogenous MOR+ neurons in the brain, spinal cord, and periphery of mice, with additional studies revealing robust expression in rats, shrews, and human induced pluripotent stem cell (iPSC)-derived nociceptors. The use of <em>mMORp</em> for <em>in vivo</em> fiber photometry, behavioral chemogenetics, and intersectional genetic strategies is also demonstrated. Lastly, a human designed <em>MORp</em> (<em>hMORp</em>) efficiently transduced macaque cortical <em>OPRM1</em>+ cells. Together, our <em>MORp</em> toolkit provides researchers cell-type specific genetic access to target and functionally manipulate mu-opioidergic neurons across a range of vertebrate species and translational models for pain, addiction, and neuropsychiatric disorders.
DOI: 10.5519/qd.xdaokcit
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5650892 records)
DOI: 10.6084/m9.figshare.24050775
title: Biocontrol

description: Activity of cell free supernatant against bacterial phytopathogens
DOI: 10.6084/m9.figshare.24050775.v1
title: Biocontrol

description: Activity of cell free supernatant against bacterial phytopathogens
DOI: 10.5519/qd.ub4swj57
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (16 records)
DOI: 10.5519/qd.aijlhvpb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5519/qd.ufrjjp95
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (129 records)
DOI: 10.6084/m9.figshare.23931150.v3
title: Factors Affecting Back Referral of Type 2 Diabetes Mellitus Patient of National Health Insurance Members from the Hospital to the Primary Care Physicians

description: Increased number of National Health insurance members with type 2 diabetes mellitus (DM) may have an impact of cost of health care. Since 2010,Social Security Agency on Health implemented the Chronic Disease Management Programme (Prolanis), especially for type 2 DM disease. However, back referral from internal medicine specialist to primary care physician was not well implemented. This study aims to identify perceptions of internal medicine specialist and patients affecting implementation of back referral for patients with type 2 DM from the hospital to primary care physicians. A qualitative study was employed, using in-depth interviews, observation and focus group discussions. In-depth interviews were conducted with eight internal medicine spesialists in one hospitals in Jakarta Selatan City and two primary care physicians. Focus group discussions were conducted with four groups of patients with type 2 DM, and observation was made to describe the working environment at thehospital.
DOI: 10.5281/zenodo.8298463
title: Battery measurements for Modular-E mowing

description: In this dataset the Robot Modular-E Mowit and Berto beard cutter (BBC) was tested at quinta de espanha cutting This dataset was record using the ROS2-foxy framework and contains two ros2 bags: <br> -Mowing with Mowit <pre><code>ros2 bag play discoz_12_14</code></pre> -Mowing with BBC with lub <pre><code>ros2 bag play pente_com_lub_12_38</code></pre> -Mowing with BBC without lub <pre><code>ros2 bag play pente_sem_lub_11_13</code></pre> Name of ROS2 topic Type of ROS2 topic Information /joy sensor_msgs/msg/Joy /cmd_vel geometry_msgs/msg/Twist /odom nav_msgs/msg/Odometry /raw_can std_msgs/msg/String /battery_voltage std_msgs/msg/Int32 /battery_current std_msgs/msg/Int32
DOI: 10.5281/zenodo.8298462
title: Battery measurements for Modular-E mowing

description: In this dataset the Robot Modular-E Mowit and Berto beard cutter (BBC) was tested at quinta de espanha cutting This dataset was record using the ROS2-foxy framework and contains two ros2 bags: <br> -Mowing with Mowit <pre><code>ros2 bag play discoz_12_14</code></pre> -Mowing with BBC with lub <pre><code>ros2 bag play pente_com_lub_12_38</code></pre> -Mowing with BBC without lub <pre><code>ros2 bag play pente_sem_lub_11_13</code></pre> Name of ROS2 topic Type of ROS2 topic Information /joy sensor_msgs/msg/Joy /cmd_vel geometry_msgs/msg/Twist /odom nav_msgs/msg/Odometry /raw_can std_msgs/msg/String /battery_voltage std_msgs/msg/Int32 /battery_current std_msgs/msg/Int32
DOI: 10.5517/ccdc.csd.cc2dq9m2
title: CCDC 2225974: Experimental Crystal Structure Determination

description: Related Article: Shunan Ding, Qi Zhou, Guojian Ren, Yonghang Yang, Cong Wang, Guang Che, MeiLing Li, Danfeng He, Qinhe Pan|2023|Dalton Trans.|52|12112|doi:10.1039/D3DT01830J
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.cc2dq9p4
title: CCDC 2225976: Experimental Crystal Structure Determination

description: Related Article: Shunan Ding, Qi Zhou, Guojian Ren, Yonghang Yang, Cong Wang, Guang Che, MeiLing Li, Danfeng He, Qinhe Pan|2023|Dalton Trans.|52|12112|doi:10.1039/D3DT01830J
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.cc2drrxv
title: CCDC 2227378: Experimental Crystal Structure Determination

description: Related Article: Yu Su, Chengyi Wang, Qipeng Chen, Yuanli Zhu, Shaomin Deng, Shoujin Yang, Ronghua Jin, Guohua Liu|2023|Green Chemistry|25|6859|doi:10.1039/D3GC01670F
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.