cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1myqbm
title: CCDC 1518111: Experimental Crystal Structure Determination

description: Related Article: Dongyan Yang, Chuan Wan, MengMeng He, Chuanliang Che, Yumei Xiao, Bin Fu, Zhaohai Qin|2017|MedChemComm|8|1007|doi:10.1039/C7MD00025A
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.cc1myqdp
title: CCDC 1518113: Experimental Crystal Structure Determination

description: Related Article: Shan She, Zehuan Huang, Panchao Yin, Aruuhan Bayaguud, Hongli Jia, Yichao Huang, Yen Wei, Yongge Wei|2017|Chem.-Eur.J.|23|14860|doi:10.1002/chem.201702857
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.cc1myqz8
title: CCDC 1518131: Experimental Crystal Structure Determination

description: Related Article: Guo-Tai Li, Zhi-Ke Li, Qing Gu , Shu-Li You|2017|Org.Lett.|19|1318|doi:10.1021/acs.orglett.7b00088
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.cc1myrs3
title: CCDC 1518156: Experimental Crystal Structure Determination

description: Related Article: Ahmed H. Bakheit, Rashad Al-Salahi, Hazem A. Ghabbour, Essam A. Ali, Obaid S. AlRuqi, Gamal A. E. Mostafa|2023|Crystals|13|1088|doi:10.3390/cryst13071088
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.cc1myrw6
title: CCDC 1518159: Experimental Crystal Structure Determination

description: Related Article: Kai Huang, Guorong Sheng, Ping Lu, and Yanguang Wang|2017|J.Org.Chem.|82|5294|doi:10.1021/acs.joc.7b00627
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.cc1myrx7
title: CCDC 1518160: Experimental Crystal Structure Determination

description: Related Article: Kai Huang, Guorong Sheng, Ping Lu, and Yanguang Wang|2017|J.Org.Chem.|82|5294|doi:10.1021/acs.joc.7b00627
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.cc1myry8
title: CCDC 1518161: Experimental Crystal Structure Determination

description: Related Article: Kai Huang, Guorong Sheng, Ping Lu, and Yanguang Wang|2017|J.Org.Chem.|82|5294|doi:10.1021/acs.joc.7b00627
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.cc1m68sw
title: CCDC 1495588: Experimental Crystal Structure Determination

description: Related Article: Zhan-Gang Han, Hui-Xia Zhang, De-Shun Zhang, Chun-Na Liu, Ran Zheng, Gui-Bin Xia, Xiao-Xiao Wang|2016|Inorg.Chem.|55|12488|doi:10.1021/acs.inorgchem.6b01848
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.cc1mytt6
title: CCDC 1518219: Experimental Crystal Structure Determination

description: Related Article: Ioana Radu, Victor Ch. Kravtsov, Serghei M. Ostrovsky, Oleg S. Reu, Karl Krämer, Silvio Decurtins, Shi-Xia Liu, Sophia I. Klokishner, Svetlana G. Baca|2017|Inorg.Chem.|56|2662|doi:10.1021/acs.inorgchem.6b02827
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.cc1mytv7
title: CCDC 1518220: Experimental Crystal Structure Determination

description: Related Article: Ioana Radu, Victor Ch. Kravtsov, Serghei M. Ostrovsky, Oleg S. Reu, Karl Krämer, Silvio Decurtins, Shi-Xia Liu, Sophia I. Klokishner, Svetlana G. Baca|2017|Inorg.Chem.|56|2662|doi:10.1021/acs.inorgchem.6b02827
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.cc1mytw8
title: CCDC 1518221: Experimental Crystal Structure Determination

description: Related Article: Ioana Radu, Victor Ch. Kravtsov, Serghei M. Ostrovsky, Oleg S. Reu, Karl Krämer, Silvio Decurtins, Shi-Xia Liu, Sophia I. Klokishner, Svetlana G. Baca|2017|Inorg.Chem.|56|2662|doi:10.1021/acs.inorgchem.6b02827
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.cc1mytx9
title: CCDC 1518222: Experimental Crystal Structure Determination

description: Related Article: Ioana Radu, Victor Ch. Kravtsov, Serghei M. Ostrovsky, Oleg S. Reu, Karl Krämer, Silvio Decurtins, Shi-Xia Liu, Sophia I. Klokishner, Svetlana G. Baca|2017|Inorg.Chem.|56|2662|doi:10.1021/acs.inorgchem.6b02827
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.cc1mytyb
title: CCDC 1518223: Experimental Crystal Structure Determination

description: Related Article: Ioana Radu, Victor Ch. Kravtsov, Serghei M. Ostrovsky, Oleg S. Reu, Karl Krämer, Silvio Decurtins, Shi-Xia Liu, Sophia I. Klokishner, Svetlana G. Baca|2017|Inorg.Chem.|56|2662|doi:10.1021/acs.inorgchem.6b02827
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: 10.57702/je7tzdpu
title: SDSS

description: The Sloan Digital Sky Survey (SDSS) is a large astronomical survey that maps the sky in visible, ultraviolet, and infrared light.
DOI: 10.57702/gwfxu62b
title: ScaleRAFT

description: ScaleRAFT: Cross-Scale Recurrent All-Pairs Field Transforms for 3D Motion Estimation
DOI: 10.57702/8pkt30b5
title: B100

description: The dataset used for training and testing the proposed Incremental Residual Learning (IRL) framework.
DOI: 10.57702/qpx885ou
title: Eyecandies

description: The Eyecandies dataset is a novel synthetic dataset comprising ten different categories of candies rendered in a controlled environment.
DOI: 10.57702/5hx89nju
title: ONSD dataset

description: The ONSD dataset contains ultrasound videos of optic nerve sheath diameter measurements.
DOI: 10.57702/n9kybwhl
title: ULTRE-2 Task

description: The ULTRE-2 task encourages participants to explore ULTR approaches to alleviate various types of biases in real user clicks during training, and achieve better ranking performance based on the search dataset collected from the search logs from the largest Chinese search engine, Baidu.
DOI: 10.57702/8dhy4o3i
title: Distance-based approaches to repair semantics in ontology-based data access

description: The dataset used in this paper is a set of repairs for a knowledge base, with each repair being a maximal R-consistent subset of facts.
DOI: 10.57702/fjcazpne
title: VQA

description: The VQA dataset is a large-scale visual question answering dataset that consists of pairs of images that require natural language answers.
DOI: 10.15468/dl.h2kcty
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.41719999999999 23.915352, 89.340384 23.909775, 89.265478 23.893183, 89.194345 23.865988, 89.128749 23.828867, 89.07031499999999 23.782741, 89.020484 23.728755, 88.980479 23.668246, 88.951277 23.602713, 88.933583 23.533774, 88.92781600000001 23.463132, 88.93409800000001 23.392527, 88.95225600000001 23.323696, 88.981826 23.25833, 89.022066 23.198031, 89.071979 23.144278, 89.130332 23.098385, 89.195691 23.061474, 89.26645600000001 23.034447, 89.340898 23.017962, 89.41719999999999 23.012422, 89.49350200000001 23.017962, 89.567944 23.034447, 89.63870900000001 23.061474, 89.70406800000001 23.098385, 89.762421 23.144278, 89.81233400000001 23.198031, 89.852574 23.25833, 89.882144 23.323696, 89.900302 23.392527, 89.906584 23.463132, 89.900817 23.533774, 89.883123 23.602713, 89.853921 23.668246, 89.81391600000001 23.728755, 89.76408499999999 23.782741, 89.705651 23.828867, 89.640055 23.865988, 89.568922 23.893183, 89.494016 23.909775, 89.41719999999999 23.915352))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080084-251120083545085/datasets/export for details.
DOI: 10.57702/tyaqx5ig
title: Online learning of energy consumption for navigation of electric vehicles

description: Energy efﬁcient navigation of electric vehicles
DOI: 10.57702/443czh23
title: CLEVR-ART

description: The CLEVR-ART dataset is a novel dataset consisting of ART problems rendered using more realistic 3D shapes, based on the CLEVR dataset.
DOI: 10.57702/qpn6a33v
title: Enhancing Compositional Generalization via Compositional Feature Alignment

description: Real-world applications of machine learning models often confront data distribution shifts, where discrepancies exist between the training and test data distributions.
DOI: 10.57702/z8utduhg
title: MegaDepth

description: Feature matching is a fundamental problem for many computer vision tasks, such as object recognition, structure from motion, and simultaneous localization and mapping.
DOI: 10.57702/d0h8si72
title: MS-COCO

description: Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could be costly. Also, famous face datasets[7, 11, 13, 29] don’t have corresponding text captions, making it difficult to develop text conditional image generation models on these datasets.
DOI: 10.57702/n8jxke31
title: Electric Power Consumption dataset

description: The Electric Power Consumption dataset is a time series dataset.
DOI: 10.57702/etr59pjw
title: Bergen Ocean Model

description: The dataset is used for reconstruction of ocean currents from bottom measurements.
DOI: 10.57702/usbw0mbz
title: Deeply Supervised Salient Object Detection

description: The dataset used for salient object detection, including 5 widely tested benchmarks.
DOI: 10.57702/2rcdesdx
title: IgboAPI Dataset

description: The IgboAPI dataset is a multi-dialectal Igbo-English dictionary dataset, created by expert lexicographers sourcing for Igbo words, and adding required metadata, including their dialectal variations.
DOI: 10.57702/i7cte2ka
title: Beyond the Fence Dataset

description: Dataset used for the Beyond the Fence musical and Computer Says Show documentary, including data from musical theatre, lyrics, and music.
DOI: 10.57702/verm0amh
title: Enron Email Corpus

description: The dataset is used to discover hierarchical relationships from unstructured observations, specifically in the setting of discovering pairwise hierarchical relations between concepts.
DOI: 10.57702/mvct9e54
title: SynCAN

description: The SynCAN dataset is a signal-translated, synthetic CAN dataset that was used for training and testing the CAN IDS, CANet.
DOI: 10.7910/dvn/ay8rt8
title: Replication Data for: Conflict on the Campaign Trail? How Campaign Effort and Electoral Competitiveness Shape Affective Polarization

description: Concerns about the consequences of affective polarization for governing and democracy have resulted in a strong surge of publications on the topic. This literature has already provided much insight about the individual-level correlates of affective polarization, but we know much less about how the political context in which voters choose can contribute to affective polarization. We theorize that the intensity of election campaigns increases affective polarization, which we capture through indicators of (a) campaign spending, from both in-parties and out-parties, and (b) electoral competitiveness. Using the British case and leveraging within-country and over-time variation in these indicators, we find support for our expectations. Specifically, we show first that in-party spending is positively associated with affective polarization, leading both to increased in-party like and out-party dislike. Second, we show that competitiveness is positively associated with out-party dislike - over time, individuals who experience more competitive electoral contests grow to dislike parties that they compete with to a greater degree. We contend that this mechanism could contribute to the within-country variations in affective polarization found in previous research.
DOI: 10.57702/khheezt8
title: Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images

description: The proposed framework is composed of two networks (see Fig 1). The encoder network q with parameters of φ computes qφ(z|x) : xi → zi. The encoder maps an input image xi ∈ X to its latent embedding zi ∈ Z in a lower dimensionality space compared to the input space X. The decoder network p parametrizes by θ, pθ : zi → x(cid:48)i, and reconstructs xi from its latent embedding zi.
DOI: 10.15468/dl.qtcavr
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005733-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kenuri
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003278-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkgwpv
title: Occurrence Download

description: A dataset containing 301776561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 301776561 records from 7596 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187744-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.984966
title: Ultra-violet measurements from station Payerne (2025-02)
DOI: 10.1594/pangaea.984967
title: Ozone measurements from station Payerne (2025-05)

description: Location: Arosa, Switzerland; Distance from radiation site: 200 km
DOI: 10.1594/pangaea.984968
title: Ozone measurements from station Payerne (2025-06)

description: Location: Arosa, Switzerland; Distance from radiation site: 200 km
DOI: 10.1594/pangaea.984969
title: Ozone measurements from station Payerne (2025-04)

description: Location: Arosa, Switzerland; Distance from radiation site: 200 km
DOI: 10.1594/pangaea.984970
title: Ozone measurements from station Payerne (2025-03)

description: Location: Arosa, Switzerland; Distance from radiation site: 200 km
DOI: 10.15468/dl.5enmny
title: Occurrence Download

description: A dataset containing 141384 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of New Mexico Herbarium"
 ]
}

 The dataset includes 141384 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007877-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37dfyu
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyscias neraudiana",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007886-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.984971
title: Other measurements at 10 m from station Payerne (2025-03)
DOI: 10.1594/pangaea.984972
title: Other measurements at 10 m from station Payerne (2025-06)
DOI: 10.1594/pangaea.984973
title: Other measurements at 10 m from station Payerne (2025-05)
DOI: 10.1594/pangaea.984974
title: Radiosonde measurements from station Payerne (2025-05)
DOI: 10.1594/pangaea.984975
title: Radiosonde measurements from station Payerne (2025-04)
DOI: 10.1594/pangaea.984976
title: Other measurements at 10 m from station Payerne (2025-04)
DOI: 10.1594/pangaea.984977
title: Radiosonde measurements from station Payerne (2025-03)
DOI: 10.1594/pangaea.984978
title: Radiosonde measurements from station Payerne (2025-06)
DOI: 10.1594/pangaea.984979
title: Other measurements at 30 m from station Payerne (2025-06)
DOI: 10.1594/pangaea.984980
title: Other measurements at 30 m from station Payerne (2025-03)
DOI: 10.1594/pangaea.984981
title: Other measurements at 30 m from station Payerne (2025-05)
DOI: 10.1594/pangaea.984982
title: Other measurements at 30 m from station Payerne (2025-04)
DOI: 10.1594/pangaea.984983
title: Basic and other measurements of radiation at station Payerne (2025-05)
DOI: 10.1594/pangaea.984984
title: Basic and other measurements of radiation at station Payerne (2025-03)
DOI: 10.1594/pangaea.984985
title: Ultra-violet measurements from station Payerne (2025-05)
DOI: 10.1594/pangaea.984986
title: Basic and other measurements of radiation at station Payerne (2025-04)
DOI: 10.1594/pangaea.984987
title: Basic and other measurements of radiation at station Payerne (2025-06)
DOI: 10.5281/zenodo.18178467
title: Research on the Synergistic Development of Digitalization, Technology and Green Agriculture

description: This dataset supports the research paper entitled Research on the Synergistic Development of Digitalisation, Technology and Green Agriculture. It comprises both raw data and processed data that has undergone cleaning and transformation.
DOI: 10.5281/zenodo.18178468
title: Research on the Synergistic Development of Digitalization, Technology and Green Agriculture

description: This dataset supports the research paper entitled Research on the Synergistic Development of Digitalisation, Technology and Green Agriculture. It comprises both raw data and processed data that has undergone cleaning and transformation.
DOI: 10.57702/tlxqtrk2
title: Human Connectome Project

description: Modeling the behavior of coupled networks is challenging due to their intricate dynamics. For example in neuroscience, it is of critical importance to understand the relationship between the functional neural processes and anatomical connections.
DOI: 10.57702/t3tnh2yy
title: Spectral Predictor Training Dataset

description: The dataset used to train the spectral predictor and update the current best devices.
DOI: 10.57702/0t1lx9ug
title: ASSIST2009

description: The ASSIST2009 dataset is a knowledge tracing dataset containing 4,151 students with 325,637 question-and-answer interactions from 26,684 questions of 110 skills.
DOI: 10.57702/qcxi0pkk
title: Cascaded Pyramid Network for 3D Human Pose Estimation Challenge

description: The proposed method achieves promising results with mean per joint position error (MPJPE) at 42.39 on the validation dataset on 3D human pose estimation challenge.
DOI: 10.57702/dldbf5eo
title: Lode Encoder

description: A gamified mixed-initiative level creation system for the classic platform-puzzle game Lode Runner.
DOI: 10.57702/sotvvzw6
title: Ergodic characterization of non-ergodic anomalous diffusion processes

description: The dataset used in this paper is a collection of synthetic time series representing various anomalous diffusion processes.
DOI: 10.57702/wlw81c8n
title: 1000-year annual maximum temperature data

description: 1000-year annual maximum temperature data from the Community Climate System Model version 3 (CCSM3) across North America for three atmospheric concentrations: 289 ppm CO2, 700 ppm CO2, and 1400 ppm CO2
DOI: 10.57702/xwr8lvoj
title: Sequence matching analysis for curriculum development

description: Sequence matching analysis for curriculum development.