cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc4gd32
title: CCDC 132993: Experimental Crystal Structure Determination

description: Related Article: K.Rurack, J.L.Bricks, B.Schulz, M.Maus, G.Reck, U.Resch-Genger|2000|J.Phys.Chem.A|104|6171|doi:10.1021/jp993404q
description: Related Article: K.Rurack, J.L.Bricks, G.Reck, R.Radeglia, U.Resch-Genger|2000|J.Phys.Chem.A|104|3087|doi:10.1021/jp994269k
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/cc4gd43
title: CCDC 132994: Experimental Crystal Structure Determination

description: Related Article: K.Rurack, J.L.Bricks, G.Reck, R.Radeglia, U.Resch-Genger|2000|J.Phys.Chem.A|104|3087|doi:10.1021/jp994269k
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/cc4lfjn
title: CCDC 136881: Experimental Crystal Structure Determination

description: Related Article: C.Janiak, S.Temizdemir, S.Dechert, W.Deck, F.Girgsdies, J.Heinze, M.J.Kolm, T.G.Scharmann, O.M.Zipffel|2000|Eur.J.Inorg.Chem.|2000|1229|doi:10.1002/(SICI)1099-0682(200006)2000:6<1229::AID-EJIC1229>3.3.CO;2-G
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/cc4lfkp
title: CCDC 136882: Experimental Crystal Structure Determination

description: Related Article: C.Janiak, S.Temizdemir, S.Dechert|2000|Inorg.Chem.Commun.|3|271|doi:10.1016/S1387-7003(00)00063-0
description: Related Article: C.Janiak, S.Temizdemir, S.Dechert, W.Deck, F.Girgsdies, J.Heinze, M.J.Kolm, T.G.Scharmann, O.M.Zipffel|2000|Eur.J.Inorg.Chem.|2000|1229|doi:10.1002/(SICI)1099-0682(200006)2000:6<1229::AID-EJIC1229>3.3.CO;2-G
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/cc4lflq
title: CCDC 136883: Experimental Crystal Structure Determination

description: Related Article: C.Janiak, S.Temizdemir, S.Dechert, W.Deck, F.Girgsdies, J.Heinze, M.J.Kolm, T.G.Scharmann, O.M.Zipffel|2000|Eur.J.Inorg.Chem.|2000|1229|doi:10.1002/(SICI)1099-0682(200006)2000:6<1229::AID-EJIC1229>3.3.CO;2-G
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/cc4lfmr
title: CCDC 136884: Experimental Crystal Structure Determination

description: Related Article: C.Janiak, S.Temizdemir, S.Dechert|2000|Inorg.Chem.Commun.|3|271|doi:10.1016/S1387-7003(00)00063-0
description: Related Article: C.Janiak, S.Temizdemir, S.Dechert, W.Deck, F.Girgsdies, J.Heinze, M.J.Kolm, T.G.Scharmann, O.M.Zipffel|2000|Eur.J.Inorg.Chem.|2000|1229|doi:10.1002/(SICI)1099-0682(200006)2000:6<1229::AID-EJIC1229>3.3.CO;2-G
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/cc4lfns
title: CCDC 136885: Experimental Crystal Structure Determination

description: Related Article: C.Janiak, S.Temizdemir, S.Dechert, W.Deck, F.Girgsdies, J.Heinze, M.J.Kolm, T.G.Scharmann, O.M.Zipffel|2000|Eur.J.Inorg.Chem.|2000|1229|doi:10.1002/(SICI)1099-0682(200006)2000:6<1229::AID-EJIC1229>3.3.CO;2-G
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/cc4lfpt
title: CCDC 136886: Experimental Crystal Structure Determination

description: Related Article: C.Janiak, S.Temizdemir, S.Dechert, W.Deck, F.Girgsdies, J.Heinze, M.J.Kolm, T.G.Scharmann, O.M.Zipffel|2000|Eur.J.Inorg.Chem.|2000|1229|doi:10.1002/(SICI)1099-0682(200006)2000:6<1229::AID-EJIC1229>3.3.CO;2-G
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/cc4lfqv
title: CCDC 136887: Experimental Crystal Structure Determination

description: Related Article: C.Janiak, S.Temizdemir, S.Dechert, W.Deck, F.Girgsdies, J.Heinze, M.J.Kolm, T.G.Scharmann, O.M.Zipffel|2000|Eur.J.Inorg.Chem.|2000|1229|doi:10.1002/(SICI)1099-0682(200006)2000:6<1229::AID-EJIC1229>3.3.CO;2-G
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/cc4m855
title: CCDC 137676: Experimental Crystal Structure Determination

description: Related Article: H.Guillon, L.G.Hubert-Pfalzgraf, J.Vaissermann|2000|Eur.J.Inorg.Chem.|2000|1243|doi:10.1002/(SICI)1099-0682(200006)2000:6<1243::AID-EJIC1243>3.3.CO;2-B
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/cc4m844
title: CCDC 137675: Experimental Crystal Structure Determination

description: Related Article: H.Guillon, L.G.Hubert-Pfalzgraf, J.Vaissermann|2000|Eur.J.Inorg.Chem.|2000|1243|doi:10.1002/(SICI)1099-0682(200006)2000:6<1243::AID-EJIC1243>3.3.CO;2-B
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/cc3dvfr
title: CCDC 101724: Experimental Crystal Structure Determination

description: Related Article: H.Guillon, L.G.Hubert-Pfalzgraf, J.Vaissermann|2000|Eur.J.Inorg.Chem.|2000|1243|doi:10.1002/(SICI)1099-0682(200006)2000:6<1243::AID-EJIC1243>3.3.CO;2-B
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/cc4n6pn
title: CCDC 138591: Experimental Crystal Structure Determination

description: Related Article: R.Streubel, S.Priemer, F.Ruthe, P.G.Jones|2000|Eur.J.Inorg.Chem.|2000|1253|doi:10.1002/(SICI)1099-0682(200006)2000:6<1253::AID-EJIC1253>3.3.CO;2-9
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/cc4n6qp
title: CCDC 138592: Experimental Crystal Structure Determination

description: Related Article: R.Streubel, S.Priemer, F.Ruthe, P.G.Jones|2000|Eur.J.Inorg.Chem.|2000|1253|doi:10.1002/(SICI)1099-0682(200006)2000:6<1253::AID-EJIC1253>3.3.CO;2-9
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/cc4w65c
title: CCDC 145302: Experimental Crystal Structure Determination

description: Related Article: B.F.Straub, F.Rominger, P.Hofmann|2000|Inorg.Chem.|39|2113|doi:10.1021/ic991173w
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/cc4w66d
title: CCDC 145303: Experimental Crystal Structure Determination

description: Related Article: B.F.Straub, F.Rominger, P.Hofmann|2000|Inorg.Chem.|39|2113|doi:10.1021/ic991173w
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/cc4w67f
title: CCDC 145304: Experimental Crystal Structure Determination

description: Related Article: B.F.Straub, F.Rominger, P.Hofmann|2000|Inorg.Chem.|39|2113|doi:10.1021/ic991173w
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: 10.22008/fk2/iw73uu/p8aemg
title: KAN_L_month.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/kay0ci
title: KAN_L_day.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/xl0gqi
title: KAN_L_hour.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/dkoi94
title: KAN_L_month.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/gbbzef
title: KAN_M_day.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/nw2jkl
title: KAN_M_hour.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/qzwie8
title: KAN_M_month.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/3vmaxb
title: KAN_M_hour.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/y1kuld
title: KAN_M_day.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/cs4nwq
title: KAN_M_month.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/ltporh
title: KAN_U_day.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/2tqdnh
title: KAN_U_hour.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.6084/m9.figshare.30601837
title: Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy

description: While deep reinforcement learning has achieved tremendous successes in various applications, most existing works focus on maximizing the expected value of total return and ignore its inherent stochasticity. Such stochasticity is also known as the aleatoric uncertainty and is closely related to the notion of risk. This work makes the first attempt to study risk-sensitive deep reinforcement learning under the average reward setting with the variance risk criteria. Particularly, we focus on a variance-constrained policy optimization problem where the goal is to find a policy that maximizes the expected value of the long-run average reward, subject to a constraint that the long-run variance of the average reward is upper bounded by a threshold. Using Lagrangian and Fenchel dualities, we transform the original problem into an unconstrained saddle-point policy optimization problem, and propose an actor-critic algorithm that iteratively and efficiently updates the policy, the Lagrange multiplier, and the Fenchel dual variable. When both the value and policy functions are represented by multi-layer overparameterized neural networks, we prove that our actor-critic algorithm generates a sequence of policies that finds a globally optimal policy at a sublinear rate. We conduct numerical studies using four simulation environments to back up the theoretical results. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.30601837.v1
title: Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy

description: While deep reinforcement learning has achieved tremendous successes in various applications, most existing works focus on maximizing the expected value of total return and ignore its inherent stochasticity. Such stochasticity is also known as the aleatoric uncertainty and is closely related to the notion of risk. This work makes the first attempt to study risk-sensitive deep reinforcement learning under the average reward setting with the variance risk criteria. Particularly, we focus on a variance-constrained policy optimization problem where the goal is to find a policy that maximizes the expected value of the long-run average reward, subject to a constraint that the long-run variance of the average reward is upper bounded by a threshold. Using Lagrangian and Fenchel dualities, we transform the original problem into an unconstrained saddle-point policy optimization problem, and propose an actor-critic algorithm that iteratively and efficiently updates the policy, the Lagrange multiplier, and the Fenchel dual variable. When both the value and policy functions are represented by multi-layer overparameterized neural networks, we prove that our actor-critic algorithm generates a sequence of policies that finds a globally optimal policy at a sublinear rate. We conduct numerical studies using four simulation environments to back up the theoretical results. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.22008/fk2/iw73uu/i2adkg
title: KAN_U_month.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/jcw4pa
title: KAN_U_hour.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/j9ptrx
title: KAN_U_day.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/kewdhu
title: KAN_U_month.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/4cyryp
title: KPC_L_day.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/delcnj
title: KPC_L_hour.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/9wtl4u
title: KPC_L_month.csv

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.22008/fk2/iw73uu/ddf7af
title: KPC_L_hour.nc

description: Uploaded with pyDataverse 2023-03-30 11:22
DOI: 10.6084/m9.figshare.31056127.v1
title: Supplementary Material for: Diagnosis and Management of Spontaneous Twin Anemia-Polycythemia Sequence during Early Second-Trimester: A Case Report

description: Introduction
Spontaneous twin anemia-polycythemia sequence complicates about 3-5% of monochorionic pregnancies. This complication is associated with severe neurological morbidity and mortality in some cases. Prenatal diagnosis relies on Doppler assessment of the middle cerebral artery peak systolic velocity. However, there is ongoing debate regarding the appropriate gestational age to initiate surveillance.

Case report
We present a case of stage III twin anemia-polycythemia sequence, first identified at 16 weeks of gestation, given discordant middle cerebral artery peak systolic velocity (1.8 and 0.7 MoM in the anemic and polycythemic twin, respectively. Delta MCA PSV MoM 1.1), starry sky liver appearance, discordance in echogenicity and thickness of placental territories and intermittently absent end-diastolic flow in the umbilical artery of the polycythemic twin, successfully managed with fetoscopic laser photocoagulation at 17 weeks of gestation. A cesarean delivery was performed at 31 weeks of gestation by the referring team due to concomitant fetal growth restriction with lack of interval growth, abnormal umbilical artery Dopplers, and non-reassuring fetal status. Pathology confirmed ablation of all anastomotic vessels. The hemoglobin count was within normal limits for both babies (15.9 and 14.9 g/dL), and they were deemed stable for discharge at corrected gestational ages of 37 and 38 weeks, respectively.

Conclusion
Middle cerebral artery peak systolic velocity Doppler surveillance starting at 16 weeks of gestation is important for early detection and timely intervention of monochorionic pregnancies complicated by early severe spontaneous twin anemia-polycythemia sequence.
DOI: 10.6084/m9.figshare.31056130
title: Supplementary Material for: Views on a Chatbot for Cancer Family History Collection Among Leaders of Hispanic and Pacific Islander Communities in Utah

description: Introduction
Individuals from historically marginalized communities have less access to genetic testing services. Incomplete family history information in electronic health records contributes to under-identification of those eligible for genetic testing of hereditary cancer genes. Digital health tools can aid in collecting family history information, but there is a lack of information about how to integrate these tools in ways that are effective for different communities. This study investigated experiences with family history collection as well as acceptability and approaches for cultural adaptation of a chatbot for family history collection. 
Methods
Seven community engagement studios were conducted with community leaders (N=48) representing historically marginalized communities, specifically Hispanic and Pacific Islander. The studios were conducted by trained facilitators in English (n=4) or Spanish (n=3) with 5—8 participants per studio. Transcripts of recorded studios were analyzed using inductive thematic analysis. 
Results
Two domains, each with underlying themes, were identified: (1) previous family history collection experience and (2) chatbot impressions and feedback. Community leaders saw value in using a chatbot for family history collection and also expressed the importance of addressing accessibility of the tool. They emphasized interpersonal interactions together with the use of digital health tools and the importance of trusting relationships with healthcare professionals regardless of chatbot integration. 
Conclusion
Community leaders highlighted specific strengths and limitations of the chatbot. The importance of human connection with healthcare professionals to build trusting relationships was emphasized. Successful integration of this tool into historically marginalized communities will require ongoing conversations and investment in communities.
DOI: 10.6084/m9.figshare.31056130.v1
title: Supplementary Material for: Views on a Chatbot for Cancer Family History Collection Among Leaders of Hispanic and Pacific Islander Communities in Utah

description: Introduction
Individuals from historically marginalized communities have less access to genetic testing services. Incomplete family history information in electronic health records contributes to under-identification of those eligible for genetic testing of hereditary cancer genes. Digital health tools can aid in collecting family history information, but there is a lack of information about how to integrate these tools in ways that are effective for different communities. This study investigated experiences with family history collection as well as acceptability and approaches for cultural adaptation of a chatbot for family history collection. 
Methods
Seven community engagement studios were conducted with community leaders (N=48) representing historically marginalized communities, specifically Hispanic and Pacific Islander. The studios were conducted by trained facilitators in English (n=4) or Spanish (n=3) with 5—8 participants per studio. Transcripts of recorded studios were analyzed using inductive thematic analysis. 
Results
Two domains, each with underlying themes, were identified: (1) previous family history collection experience and (2) chatbot impressions and feedback. Community leaders saw value in using a chatbot for family history collection and also expressed the importance of addressing accessibility of the tool. They emphasized interpersonal interactions together with the use of digital health tools and the importance of trusting relationships with healthcare professionals regardless of chatbot integration. 
Conclusion
Community leaders highlighted specific strengths and limitations of the chatbot. The importance of human connection with healthcare professionals to build trusting relationships was emphasized. Successful integration of this tool into historically marginalized communities will require ongoing conversations and investment in communities.
DOI: 10.15156/bio/sh1396841.10fu
title: SH1396841.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.