cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/tpzpio/f4h0dy
title: CCES-L2016D.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/ietz1b
title: A2012.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/m3eylf
title: CCES-L2016R.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/okwogq
title: A1972_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/rh1srd
title: A2000.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/tp6bry
title: A2016.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/yf7cm5
title: Figure_A6-RAW.pdf

description: :unav
DOI: 10.7910/dvn/tpzpio/yrwptq
title: CCES-L2008.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/3hfr9d
title: L1996.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/5pihn7
title: A1988.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/gpsjzr
title: A1976_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/mtvlde
title: L1992.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/ns6p6q
title: L2008.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/pfnjby
title: A1972.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/q1yayp
title: L1984.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/uuut2a
title: L1980.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/zsh1yn
title: A1976.rds

description: :unav
DOI: 10.25612/837.n819ov8mkovz
title: Third Ward Comprehensive Survey
DOI: 10.7910/dvn/tpzpio/ada21d
title: A1996.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/amlqv1
title: L1988.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/awv4p9
title: CCES-L2012R.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/dywedc
title: CCES-L2012D.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/ehkydy
title: CCES-L2008D.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/eplhtl
title: A2008_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/gwpnhl
title: A2016_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/hddexe
title: A2004_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/igpw7j
title: L1976.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/n4ugos
title: CCES-L2008R.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/4a5y0b
title: A1992_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/7ysf5n
title: L2012.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/cesf8t
title: A1984.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/h12kzn
title: CCES-L2016.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/ind65j
title: L2004.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/orfquc
title: A1992.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/qkm6cr
title: A1980.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/rxe2hl
title: L1972.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/wxcnp9
title: A1980_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/3izbsz
title: A1988_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/cvjg7i
title: L2000.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/hgsh3k
title: A1996_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/hnfzkq
title: A1984_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/hyooha
title: A2012_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/mlw0kc
title: A2008.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/s3g4vz
title: CCES-L2012.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/vbd0gf
title: A2000_dk.rds

description: :unav
DOI: 10.7910/dvn/tpzpio/yhlp7m
title: L2016.rds

description: :unav
DOI: 10.25825/fk2/agzji8/i8kqbn
title: YVEGSA05_FinalDataCollectionCodebook.pdf

description: :unav
DOI: 10.25825/fk2/agzji8/mvpgda
title: YVEGSA05_FinalDataCollectionDataset.tab

description: :unav
DOI: 10.5281/zenodo.3628891
title: MITgcm Alboran Sea Budgets and Manifolds Nov 2007-Mar 2008

description: Eulerian volume, temperature, salinity, and momentum budget components for the Western Alboran Gyre. Also Lagrangian manifolds for the edge of the WAG; their frequency maps; and the isopycnal velocity maps they are derived from.
description: This work was supported on DOD (MURI) Grant No. N000141110087 and ONR grant # N000141812417.
DOI: 10.5281/zenodo.3628892
title: MITgcm Alboran Sea Budgets and Manifolds Nov 2007-Mar 2008

description: Eulerian volume, temperature, salinity, and momentum budget components for the Western Alboran Gyre. Also Lagrangian manifolds for the edge of the WAG; their frequency maps; and the isopycnal velocity maps they are derived from.
description: This work was supported on DOD (MURI) Grant No. N000141110087 and ONR grant # N000141812417.
DOI: 10.7910/dvn/tpzpio/zmkzjy
title: CCES_Sigma_2012_PartyID.R

description: :unav
DOI: 10.25825/fk2/agzji8
title: Religious Fundamentalism, Attitudes toward Political Violence, and Developmental Idealism among Youth in Egypt and Saudi Arabia - 2005

description: This project intends to explore and explain the values and sociopolitical and cultural attitudes of young Egyptians and Saudis. It focuses on four general areas of values: (1) the sources of epistemic authorities that the youths rely in forming opinion about various social and cultural issues and deciding their career; (2) the extent to which the youth are aware of developmental ideas; (3) the youths’ orientations toward such issues as relationship between religion and politics, form of government, Western culture, and social status of women; and (4) the youths’ religiosity and attitudes toward religion.
DOI: 10.25825/fk2/agzji8/6jrtrj
title: YVEGSA05_FinalDataCollectionQuestionnaire_EgyptianArabicVersion.pdf

description: :unav
DOI: 10.25825/fk2/agzji8/bec1vs
title: YVEGSA05_DataDocumentationDescription.pdf

description: :unav
DOI: 10.25825/fk2/agzji8/ntlhmv
title: YVEGSA05_FinalDataCollectionDataset.sas7bdat

description: :unav
DOI: 10.25825/fk2/agzji8/ohphny
title: MoaddelKarabenick-SF.pdf

description: :unav
DOI: 10.25825/fk2/agzji8/qkylht
title: YVEGSA05_FinalDataCollection_Questionnaire_English.pdf

description: :unav
DOI: 10.25825/fk2/agzji8/xbul4w
title: YVEGSA05_FinalDataCollectionFrequencies.pdf

description: :unav
DOI: 10.25825/fk2/agzji8/xzqfba
title: YVEGSA05_FinalDataCollectionQuestionnaire_SaudiArabicVersion.pdf

description: :unav
DOI: 10.15785/sbgrid/637
title: X-Ray Diffraction data from KAP1/TRIM28, source of 6QAJ structure

description: X-ray diffraction data for the RBCC motif of the tripartite motif (TRIM) of KAP1/TRIM28 collected at the zinc absorption peak wavelength
DOI: 10.17632/6gfxjd3vc9.1
title: Data for: Evaluating the Impact of First-Year Writing Course Grades on College-Student Persistence

description: This data set reflects the grades, gender identification, times courses were taken, and first-year generation status from students who took Basic Writing, Composition1, or Composition 2 between Fall semester 2011 and Fall semester 2018. This data is from one four-year, polytechnic, open-enrollment university in a midwestern state in the USA.
DOI: 10.25345/c5j39x
title: MassIVE MSV000084850 - Untargeted LCMS analysis of mothers with perinatal depression
title: Data was collected on a LC-MS/MS system (c-18 column) positive mode. Data analyzing stool samples collected from mothers in each term of pregnancy.
DOI: 10.15785/sbgrid/751
title: X-Ray Diffraction data from Cysteine Dioxygenase (CDO), source of 3ELN structure

description: This is the EXP data set referred to in the paper "Linking Crystallographic Model and Data Quality" by P. Andrew Karplus and Kay Diederichs, Science 336, 1030 (2012). The raw data for 3ELN were never deposited. The data deposited here are nicely fit by 3ELN, but they are about 15 times weaker than the original 3ELN data.
description: The 218 frames were processed with XDS. There is an offset of about 2 degrees after frame 180. It is advisable to specify DATA_RANGE=1 220 instead of 1 218, to make XDS choose 5 degree batches, such that the changeover between batches happens after frame 180. Then, the geometry refinement of XDS mostly takes care of the offset. Possibly better: process 1-180 and 181-218 separately, and merge in XSCALE.
DOI: 10.25919/5e30b45f9852c
title: Periodic Graphene Oxide Data Set

description: This is a set of 1671 electronically neutral periodic graphene oxide sheet FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimized and relaxed using density functional tight binding, as described in the attached Header_list.pdf. Each periodic structure includes a number different concentrations of OH and O (in the ether configuration), all randomly distributed. All files are in XYZ format, and the naming convention is bulk_X, where X is the unique identifer, such that X={1,..., 1617}. Feature extraction has been conducted and a list of 501 features is included in the accompanying csv file, as described in the attached Header_list.pdf. Note that this feature list is complete, and has not been optimized.
DOI: 10.15785/sbgrid/752
title: Micro-Electron Diffraction data from Cyclophilin A, source of 6U5G structure

description: MicroED structure of a FIB-milled CypA Crystal
description: Process and merge with XDS
DOI: 10.25919/5e30b5231c669
title: Disordered Silver Nanoparticle Data Set

description: This is a set of 4000 silver (Ag) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimized (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures and growth rates. All files are in XYZ format, and the naming convention is defined in the accompanying csv file that lists all of the structural features and energetic properties (see Supporting Attachments). Sizes range from 157 atoms to 14115 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature and a number of order parameters. The final two columns in the accompanying csv file are target labels, providing the total energy and the excess formation energy. Other features can also be used as labels as desired.
DOI: 10.6084/m9.figshare.12674021.v1
title: A database containing Hospitalized patients with Heart Failure: integrating electronic healthcare records and external outcome data

description: Heart failure is one of the most important reasons for hospitalized, which is also associated with significant mortality and morbidity. Epidemiological study requires the establishement of high quality database. Several datasets have been established in western countries, which generated many high quality researches. However, no such dataset is avaialbe from China. Due to differences in genetic background and healthcare systems between China and western countries, it is urgently needed to establish a heart failure database for Chinese population. We performed a retrospective single center observational study to collect data regarding characteristics of Heart failure patients in China based on electronic healthcare records. The study collected information for a total of 2,008 patients with heart failure, containing 168 attributes. The dataset can be reused without any restriction.
DOI: 10.17909/t9-wyhs-7j39
title: Cepheid snapshot paper data
DOI: 10.21227/y29k-me53
title: ExoNet Database: Open-Source Wearable Camera Images of Human Locomotion Environments

description: Recent advances in robotic vision and artificial intelligence have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training databases have impeded the widespread development and dissemination of image classification algorithms for environment recognition. To address these shortcomings, we have developed “ExoNet”, the first open-source large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, collected using a lightweight wearable smartphone camera system throughout summer, autumn, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical classification architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform for training, developing, and comparing image classification algorithms for next-generation environment recognition systems. Beyond the control of robotic lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Open-Source Wearable Camera Images of Human Locomotion Environments. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Under Review.
DOI: 10.21227/2d5t-sz37
title: ExoNet Database: Open-Source Wearable Camera Images of Human Locomotion Environments

description: Recent advances in robotic vision and artificial intelligence have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training databases have impeded the widespread development and dissemination of image classification algorithms for environment recognition. To address these shortcomings, we have developed “ExoNet”, the first open-source large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, collected using a lightweight wearable smartphone camera system throughout summer, autumn, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical classification architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform for training, developing, and comparing image classification algorithms for next-generation environment recognition systems. Beyond the control of robotic lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Open-Source Wearable Camera Images of Human Locomotion Environments. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Under Review.
DOI: 10.3886/e116531v1-22003
title: Replication data for: Student Loan Nudges: Experimental Evidence on Borrowing and Educational Attainment

description: We provide the first experimental evidence on the effect of student loans on educational attainment. Loan amounts listed in financial aid award letters ("offers") do not alter students' choice sets but significantly affect borrowing. Students randomly receiving a nonzero offer were 40 percent more likely to borrow than those who received a $0 offer. Per additional borrower, loans increased by $4,000, GPA and completed credits increased by 30 percent, and transfers to four-year public colleges increased by 11 percentage points. Cost-benefit and theoretical analyses suggest nonzero offers enhance welfare, yet over five million students are not currently offered loans.
DOI: 10.25919/5e30b73382a79
title: Nickel Nanoparticle Data Set

description: This is a set of 4000 nickel (Ni) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimized (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures and growth rates. All files are in XYZ format, and the naming convention is defined in the accompanying csv file that lists all of the structural features and energetic properties (see Supporting Attachments). Sizes range from 91 atoms to 21063 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature and a number of order parameters. The final two columns in the accompanying csv file are target labels, providing the total energy and the excess formation energy. Other features can also be used as labels as desired.
DOI: 10.5063/f1cn728g
title: Campus ecology network biodiversity data: York University and The University of Toronto Mississauga

description: A university campus provides an opportunity to explore biodiversity, change, and citizen science. Many course offerings such as ecology, experimental design, or environmental science include a laboratory component. York University and The University of Toronto Mississauga collaborated and developed a collaborative platform entitled 'The Campus Ecology Network'. The goal was to connect the data that undergraduate students at each campus collected during hands-on, field exercises. We adopted the same protocols at each campus, and students surveyed each campus in the Autumn, i.e. Fall Term, in 2016. Students used transects to identify sampling locations blocked by major habitat types such as forest, grassland, disturbed sites (i.e. areas with high foot traffic but vegetated), and impermeable sites. Quadrats were then subsequently used to to explore vegetation - 0.5m x 0.5m quadrats to record herbaceous plants and grasses. On these same transects, the total number of vertebrate animals (including humans) were also recorded during the 3-hour sampling instances. Pan traps and sweet nets were used to assess invertebrate diversity. The primary focus was to document structural and species diversity patterns not composition. The data included species richness for key taxa, native versus exotic plants, canopy cover, ground cover, and total number of flowers at that point in time within each quadrat. These data can be used to explore the intermediate disturbance hypothesis, relationships between richness of different taxa, and canopy/ground cover influences on richness. Longitudinal change can also be examined, and the start point of each transect was also georeferenced for mapping or additional research.
DOI: 10.5281/zenodo.3629695
title: Digitālo humanitāro zinātņu resursu kartējums

description: Institūcijām izsūtīto anketu atbildes apvienotas ar IZM veikto kartējumu par digitālo humanitāro zinātņu resursiem Latvijā. Viegli filtrētas izņemot datu laukus ar sevišķi nepilnīgiem vai neadekvātiem datiem.
DOI: 10.25919/5e30b8fa67484
title: Ruthenium Nanoparticle Data Set

description: This is a set of 2500 ruthenium (Ru) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimized (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures and growth rates. All files are in XYZ format, and the naming convention is defined in the accompanying csv file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 61 atoms to 17428 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature and a number of order parameters. The final five columns in the accompanying csv file are target labels, providing the concentration of classes of surface structures responsible for different types of catalytic reactions, the total energy and the excess formation energy. Links to publications describing these property labels are provided in the Supporting Attachments. Other features can also be used as labels as desired.
DOI: 10.5281/zenodo.7665917
title: SoundDesc: Cleaned and Group-Filtered Splits

description: This upload contains dataset splits of <em>SoundDesc</em> [1] and other supporting material for our paper: <strong>Data leakage in cross-modal retrieval training: A case study </strong>[arXiv] [ieeexplore] In our paper, we demonstrated that a data leakage problem in the previously published splits of SoundDesc leads to overly optimistic retrieval results.<br> Using an off-the-shelf audio fingerprinting software, we identified that the data leakage stems from duplicates in the dataset.<br> We define two new splits for the dataset: a cleaned split to remove the leakage and a group-filtered to avoid other kinds of weak contamination of the test data. SoundDesc is a dataset which was automatically sourced from the BBC Sound Effects web page [2]. The results from our paper can be reproduced using <em>clean_split01</em> and <em>group_filtered_split01</em>. <em>If you use the splits, please cite our work:</em> Benno Weck, Xavier Serra, "Data Leakage in Cross-Modal Retrieval Training: A Case Study," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10094617. <pre><code>@INPROCEEDINGS{10094617, author={Weck, Benno and Serra, Xavier}, booktitle={ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={Data Leakage in Cross-Modal Retrieval Training: A Case Study}, year={2023}, volume={}, number={}, pages={1-5}, doi={10.1109/ICASSP49357.2023.10094617}} </code></pre> References: [1] A. S. Koepke, A. -M. Oncescu, J. Henriques, Z. Akata and S. Albanie, "Audio Retrieval with Natural Language Queries: A Benchmark Study," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2022.3149712. [2] https://sound-effects.bbcrewind.co.uk/
DOI: 10.6084/m9.figshare.24038433
title: Putin's war axiology

description: A detailed list of values attributed to Russian and to the West, accompanied by corresponding excerpts from Putin's speeches on Russian-Ukrainian war (23 February - 30 September 2022)
DOI: 10.5281/zenodo.7665916
title: SoundDesc: Cleaned and Group-Filtered Splits

description: This upload contains dataset splits of <em>SoundDesc</em> [1] and other supporting material for our paper: <strong>Data leakage in cross-modal retrieval training: A case study </strong>[arXiv] [ieeexplore] In our paper, we demonstrated that a data leakage problem in the previously published splits of SoundDesc leads to overly optimistic retrieval results.<br> Using an off-the-shelf audio fingerprinting software, we identified that the data leakage stems from duplicates in the dataset.<br> We define two new splits for the dataset: a cleaned split to remove the leakage and a group-filtered to avoid other kinds of weak contamination of the test data. SoundDesc is a dataset which was automatically sourced from the BBC Sound Effects web page [2]. The results from our paper can be reproduced using <em>clean_split01</em> and <em>group_filtered_split01</em>. <em>If you use the splits, please cite our work:</em> Benno Weck, Xavier Serra, "Data Leakage in Cross-Modal Retrieval Training: A Case Study," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10094617. <pre><code>@INPROCEEDINGS{10094617, author={Weck, Benno and Serra, Xavier}, booktitle={ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={Data Leakage in Cross-Modal Retrieval Training: A Case Study}, year={2023}, volume={}, number={}, pages={1-5}, doi={10.1109/ICASSP49357.2023.10094617}} </code></pre> References: [1] A. S. Koepke, A. -M. Oncescu, J. Henriques, Z. Akata and S. Albanie, "Audio Retrieval with Natural Language Queries: A Benchmark Study," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2022.3149712. [2] https://sound-effects.bbcrewind.co.uk/
DOI: 10.5281/zenodo.8286387
title: s_exampledata_mDS2_07.mat

description: s_exampledata_mDS2_07.mat Example session from neocortex. structure contains 137 units, for each: mean: mean waveform, matrix of n_samples x n_channels sd: SD of waveform, matrix of n_samples x n_channels
DOI: 10.5281/zenodo.8286386
title: s_exampledata_mDS2_07.mat

description: s_exampledata_mDS2_07.mat Example session from neocortex. structure contains 137 units, for each: mean: mean waveform, matrix of n_samples x n_channels sd: SD of waveform, matrix of n_samples x n_channels