cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc281fvm
title: CCDC 2086760: Experimental Crystal Structure Determination

description: Related Article: Xueqiang Chen, Wenbo Dai, Xinghui Wu, Han Su, Cong Chao, Yunxiang Lei, Jianbing Shi, Bin Tong, Zhengxu Cai, Yuping Dong|2021|Chem.Eng.Journal|426|131607|doi:10.1016/j.cej.2021.131607
DOI: 10.5517/ccdc.csd.cc284tmw
title: CCDC 2090008: Experimental Crystal Structure Determination

description: Related Article: Jin-Ping Chang, Li-Ying Sun, Zi-En Zhang, Yuan-Yuan An, Le Zhang, Jian-Gang Yu, Ying-Feng Han|2021|Chem.Commun.|57|8584|doi:10.1039/D1CC03416B
DOI: 10.5517/ccdc.csd.cc28585x
title: CCDC 2090428: Experimental Crystal Structure Determination

description: Related Article: Evan A. Patrick, Yan Yang, Warren E. Piers, Laurent Maron, Benjamin S. Gelfand|2021|Chem.Commun.|57|8640|doi:10.1039/D1CC03481B
DOI: 10.5517/ccdc.csd.cc28586y
title: CCDC 2090429: Experimental Crystal Structure Determination

description: Related Article: Evan A. Patrick, Yan Yang, Warren E. Piers, Laurent Maron, Benjamin S. Gelfand|2021|Chem.Commun.|57|8640|doi:10.1039/D1CC03481B
DOI: 10.5517/ccdc.csd.cc28587z
title: CCDC 2090430: Experimental Crystal Structure Determination

description: Related Article: Evan A. Patrick, Yan Yang, Warren E. Piers, Laurent Maron, Benjamin S. Gelfand|2021|Chem.Commun.|57|8640|doi:10.1039/D1CC03481B
DOI: 10.5517/ccdc.csd.cc285880
title: CCDC 2090431: Experimental Crystal Structure Determination

description: Related Article: Evan A. Patrick, Yan Yang, Warren E. Piers, Laurent Maron, Benjamin S. Gelfand|2021|Chem.Commun.|57|8640|doi:10.1039/D1CC03481B
DOI: 10.5517/ccdc.csd.cc285tgr
title: CCDC 2090964: Experimental Crystal Structure Determination

description: Related Article: Kuppukkannu Ramalingam, Corrado Rizzoli, Subburayan Sivasekar|2021|Polyhedron|208|115405|doi:10.1016/j.poly.2021.115405
DOI: 10.5517/ccdc.csd.cc285xq3
title: CCDC 2091065: Experimental Crystal Structure Determination

description: Related Article: Deborah Hartmann, Sven Braner, Lutz Greb|2021|Chem.Commun.|57|8572|doi:10.1039/D1CC03452A
DOI: 10.5517/ccdc.csd.cc285xt6
title: CCDC 2091068: Experimental Crystal Structure Determination

description: Related Article: Deborah Hartmann, Sven Braner, Lutz Greb|2021|Chem.Commun.|57|8572|doi:10.1039/D1CC03452A
DOI: 10.5517/ccdc.csd.cc285xw8
title: CCDC 2091070: Experimental Crystal Structure Determination

description: Related Article: Deborah Hartmann, Sven Braner, Lutz Greb|2021|Chem.Commun.|57|8572|doi:10.1039/D1CC03452A
DOI: 10.5517/ccdc.csd.cc285xx9
title: CCDC 2091071: Experimental Crystal Structure Determination

description: Related Article: Deborah Hartmann, Sven Braner, Lutz Greb|2021|Chem.Commun.|57|8572|doi:10.1039/D1CC03452A
DOI: 10.6084/m9.figshare.16451862.v1
title: Day 5 WI vs Uni_Transcriptomics.xlsx

description: <br> <b>Defining the Immune Responses for SARS-CoV-2-Human Macrophage Interactions </b>
DOI: 10.5523/bris.132lx0cyrawzs2vhvjwbdg6atb
title: CFRP Thermography

description: Temperature measurement from Telops high speed camera during high rate compression tests of CFRP 45 degree off-axis composites
DOI: 10.5281/zenodo.5271750
title: COV-BHP - Psychological Impact of the COVID-19 Outbreak on Health Professionals

description: The COVID-19 pandemic had a massive impact on health care systems,<br> increasing the risks of psychological distress in health professionals. This database includes data from a study which assessed the prevalence of burnout and psychopathological conditions in health professionals working in a health institution in the Northern Italy, and identified socio-demographic, work-related and psychological predictors of burnout. Health professionals working in the hospitals of the Istituto Auxologico Italiano were asked to participate to an online anonymous survey investigating socio-demographic data, COVID-19 emergency-related work and psychological factors, state anxiety, psychological distress, post-traumatic symptoms and burnout.
DOI: 10.3886/e148502
title: Reducing Burnout and Resignations among Frontline Workers: A Field Experiment

description: Government agencies around the world struggle to retain frontline workers, as high job demands and low job resources contribute to persistently high rates of employee burnout. Although four decades of research have documented the predictors and potential costs of frontline worker burnout, we have limited causal evidence on strategies that reduce it. In this article, we report on a multi-city field experiment (n=536) aimed at increasing perceived social support and affirming belonging among 911 dispatchers. We find that a six-week intervention that prompts dispatchers to share advice anonymously and asynchronously with their peers in other cities reduces burnout by 8 points (0.4 SD) and cuts resignations by more than half (3.4 percentage points) four months after the intervention ended. We provide supporting evidence that the intervention operates by increasing perceived social support and belonging in an online laboratory experiment (n=497). These findings suggest that low-cost belonging affirmation techniques can reduce frontline worker burnout and help agencies retain workers, saving a mid-sized city at least $400,000 in personnel costs.
DOI: 10.3886/e148502v1
title: Reducing Burnout and Resignations among Frontline Workers: A Field Experiment

description: Government agencies around the world struggle to retain frontline workers, as high job demands and low job resources contribute to persistently high rates of employee burnout. Although four decades of research have documented the predictors and potential costs of frontline worker burnout, we have limited causal evidence on strategies that reduce it. In this article, we report on a multi-city field experiment (n=536) aimed at increasing perceived social support and affirming belonging among 911 dispatchers. We find that a six-week intervention that prompts dispatchers to share advice anonymously and asynchronously with their peers in other cities reduces burnout by 8 points (0.4 SD) and cuts resignations by more than half (3.4 percentage points) four months after the intervention ended. We provide supporting evidence that the intervention operates by increasing perceived social support and belonging in an online laboratory experiment (n=497). These findings suggest that low-cost belonging affirmation techniques can reduce frontline worker burnout and help agencies retain workers, saving a mid-sized city at least $400,000 in personnel costs.
DOI: 10.6084/m9.figshare.16451862
title: Day 5 WI vs Uni_Transcriptomics.xlsx

description: <br> <b>Defining the Immune Responses for SARS-CoV-2-Human Macrophage Interactions </b>
DOI: 10.6084/m9.figshare.16451862.v3
title: Day 5 WI vs Uni_Transcriptomics.xlsx

description: <br> <b>Defining the Immune Responses for SARS-CoV-2-Human Macrophage Interactions </b>
DOI: 10.6084/m9.figshare.16451862.v2
title: Day 5 WI vs Uni_Transcriptomics.xlsx

description: <br> <b>Defining the Immune Responses for SARS-CoV-2-Human Macrophage Interactions </b>
DOI: 10.21227/j1vv-hw18
title: Hardware Trojan Dataset for Circuit Graph Analysis

description: The time-to-market pressure and the continuous growing complexity of hardware designs have promoted the globalization of the Integrated Circuit (IC) supply chain.However, such globalization also poses various security threats in each phase of the IC supply chain.Although the advancements of Machine Learning (ML) have pushed the frontier of hardware security, most conventional ML-based methods can only achieve the desired performance by manually finding a robust feature representation for circuits that are non-Euclidean data.As a result, modeling these circuits using graph learning to improve design flows has attracted research attention in the Electronic Design Automation (EDA) field.However, due to the lack of supporting tools, only a few existing works apply graph learning to resolve hardware security issues.We propose this dataset along with HW2VEC, an open-source graph learning tool that lowers the threshold for newcomers to research hardware security applications with graphs.HW2VEC provides an automated pipeline for extracting a graph representation from a hardware design in various abstraction levels (register transfer level or gate-level netlist).Besides, HW2VEC users can automatically transform the non-Euclidean hardware designs into Euclidean graph embeddings for solving their problems.This dataset includes the Verilog files ofdifferent hardware designsand the data-flow graphs that the HW2VEC tool is generated for each circuit.If you find our dataset useful in your research, please kindly consider citing our papers:@misc{yu2021hw2vec, title={HW2VEC: A Graph Learning Tool for Automating Hardware Security}, author={Shih-Yuan Yu and Rozhin Yasaei and Qingrong Zhou and Tommy Nguyen and Mohammad Abdullah Al Faruque}, year={2021}, eprint={2107.12328}, archivePrefix={arXiv}, primaryClass={cs.CR}}
DOI: 10.6073/pasta/0321f24d5fe7b1e16e88d335c4c5d36a
title: Daily measurement summaries from Commonwealth Glacier Meteorological Station (COHM), McMurdo Dry Valleys, Antarctica (1993-2019, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This package contains daily measurement summaries derived from 15-minute data generated by the Commonwealth Glacier Meteorological Station (COHM), located in Taylor Valley (Latitude: -77.5646, Longitude: 163.2823, Elevation: 290 meters above sea level). COHM was established in 1993, during the 93/94 field season.
DOI: 10.6084/m9.figshare.16453662.v1
title: Analysis files

description: Metadata associated with the paper: <b>Examining the Association between the Gastrointestinal Microbiota and Gulf War Illness: A Prospective Cohort Study</b><b></b>
DOI: 10.25824/redu/ykl8az
title: Pesquisa Militantes e Filiados Partidários_ descrição.pdf

description: Descrição da amostra
DOI: 10.25824/redu/sxjqv7
title: Militantes e Filiados Partidarios_Banco de Dados.tab

description: Base de dados em SPSS _ survey
DOI: 10.6073/pasta/4131d67e527bd0c3f8a5aa67750e6120
title: Daily measurement summaries from Mount Fleming Meteorological Station (FLMM), McMurdo Dry Valleys, Antarctica (2011-2019, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains daily measurement summaries derived from 15-minute data generated by the Mount Fleming Meteorological Station (FLMM), located at the head of Wright Valley.
DOI: 10.25824/redu/kpl3bv
title: Pesquisa Militantes e Filiados Partidarios de SP_questionário.pdf

description: questionario
DOI: 10.25824/redu/a6azud
title: Militantes e Filiados Partid rios_Banco de Dados.tab
DOI: 10.25824/redu/u5vljo
title: Pesquisa Militantes e Filiados Partidarios de SP_questionario.pdf
DOI: 10.25824/redu/cbyuxj
title: Pesquisa Filiados Partidários SP_base de dados.tab
DOI: 10.25824/redu/qd0oc3
title: Pesquisa_Filiados_Partidarios_SP_base de dados.tab
DOI: 10.25824/redu/vaylra
title: teste.tab
DOI: 10.25824/redu/uwygnm
title: Pesquisa_Filiados_Partidarios_SP_base de dados.tab
DOI: 10.25824/redu/eh9qhe
title: Pesquisa_Filiados_Partidarios_SP_base de dados.tab
DOI: 10.25824/redu/exdhz8
title: Pesquisa Filiados Partidários SP_base de dados.tab
DOI: 10.25824/redu/nednpw
title: Pesquisa_Filiados_Partidarios_SP_base de dados.tab
DOI: 10.25824/redu/a17thb
title: Pesquisa_Filiados_Partidarios_SP_base de dados.tab
DOI: 10.25824/redu/uehk1j
title: Pesquisa Militantes e Filiados Partidarios de SP_questionario.pdf
DOI: 10.25824/redu/draewy
title: Militantes e filiados partidários de São Paulo 2013

description: Pesquisa associada ao projeto temático FAPESP "Organização da Política Representativa Paulista", com foco principal na influência dos aspectos organizacionais sobre as estratégias intrapartidárias, abordou a dimensão da organização das bases partidárias no estado e a organização interna das agremiações. A pesquisa de tipo survey realizou entrevistas com filiados partidários dos 10 maiores partidos do estado de São Paulo em 2013, a saber, PSDB, PT, PMDB, PTB, PSB, PDT, PPS, DEM, PR, PP. Os dados produzidos permitem analises para o total do estado, por partido e por porte de municípios
DOI: 10.6073/pasta/876808c2e48ed2541704e8eb802037ef
title: Daily measurement summaries from Friis Hills Meteorological Station (FRSM), McMurdo Dry Valleys, Antarctica (2010-2019, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains daily measurement summaries derived from 15-minute data generated by the Friis Hills Meteorological Station (FRSM), located in Taylor Valley (Latitude: -77.7474, Longitude: 161.5162, Elevation: 1,591 meters above sea level).
DOI: 10.6073/pasta/d535952f528e1a510942e16ca985591c
title: Daily measurement summaries from Howard Glacier Meteorological Station (HODM), McMurdo Dry Valleys, Antarctica (1993-2019, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This package contains daily measurement summaries derived from 15-minute data generated by the Howard Glacier Meteorological Station (HODM), located in Taylor Valley (Latitude: -77.67121, Longitude: 163.07732, Elevation: 472 meters above sea level). HODM was established in 1993, during the 93/94 field season.
DOI: 10.6084/m9.figshare.16373142.v1
title: Raw.data - Influence of maturation on rowers performance

description: Influence of maturation on rowers performance
DOI: 10.6084/m9.figshare.16373142.v2
title: Raw.data - Influence of maturation on rowers performance

description: Influence of maturation on rowers performance
DOI: 10.15139/s3/qilgsk
title: 2016 Arkansas Poll

description: 2016 Arkansas Poll data
DOI: 10.15139/s3/sidrwt
title: 2015 Arkansas Poll

description: Arkansas Poll 2015 data
DOI: 10.15139/s3/ai0lmy
title: Arkansas Poll 2014

description: Arkansas Poll 2014
DOI: 10.15139/s3/hvv0hu
title: Arkansas Poll 2013

description: The 2013 Arkansas Poll
DOI: 10.15139/s3/qcpw57
title: Arkansas Poll 2012

description: The 2012 Arkansas Poll
DOI: 10.15139/s3/uocwia
title: Arkansas Poll 2011

description: Data for the 2011 Arkansas Poll
DOI: 10.5281/zenodo.5272314
title: Inferelator 3.0 Yeast Single-Cell Benchmarking Data

description: Yeast single-cell gene expression data, database-derived prior knowledge network, and hand-curated gold standard network. Used to benchmark the Inferelator 3.0, SCENIC, and CellOracle. Expression data (GSE144820_GSE125162.tsv.gz) is an integer count matrix [44343 rows x 6763 columns] with an index column (0) assembled from GSE144820 and GSE125162. Included is a paired metadata file (GSE144820_GSE125162_META_DATA.tsv.gz). A database-derived prior knowledge network (YEASTRACT_20190713_BOTH.tsv) is a boolean connectivity matrix [6885 rows x 220 columns] with an index column (0) obtained from the YEASTRACT database on 07132019. It consists of edges which have both DNA localization evidence and evidence of changes to gene expression after TF perturbation. A curated gold standard network (Tchourine_2018_yeast_gold_standard.tsv) is a signed connectivity matrix [993 rows x 98 columns] with an index column (0). Details of its construction have been published.
description: {"references": ["Jackson, C.A., Castro, D.M., Saldi, G.-A., Bonneau, R., and Gresham, D. (2020). Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments. ELife 9, e51254.", "Jariani, A., Vermeersch, L., Cerulus, B., Perez-Samper, G., Voordeckers, K., Van Brussel, T., Thienpont, B., Lambrechts, D., and Verstrepen, K.J. (2020). A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast. ELife 9, e55320.", "Tchourine, K., Vogel, C., and Bonneau, R. (2018). Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks. Cell Reports 23, 376\u2013388.", "Teixeira, M.C., Monteiro, P.T., Palma, M., Costa, C., Godinho, C.P., Pais, P., Cavalheiro, M., Antunes, M., Lemos, A., Pedreira, T., et al. (2018). YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae. Nucleic Acids Res 46, D348\u2013D353."]}
DOI: 10.5281/zenodo.5272313
title: Inferelator 3.0 Yeast Single-Cell Benchmarking Data

description: Yeast single-cell gene expression data, database-derived prior knowledge network, and hand-curated gold standard network. Used to benchmark the Inferelator 3.0, SCENIC, and CellOracle. Expression data (GSE144820_GSE125162.tsv.gz) is an integer count matrix [44343 rows x 6763 columns] with an index column (0) assembled from GSE144820 and GSE125162. Included is a paired metadata file (GSE144820_GSE125162_META_DATA.tsv.gz). A database-derived prior knowledge network (YEASTRACT_20190713_BOTH.tsv) is a boolean connectivity matrix [6885 rows x 220 columns] with an index column (0) obtained from the YEASTRACT database on 07132019. It consists of edges which have both DNA localization evidence and evidence of changes to gene expression after TF perturbation. A curated gold standard network (Tchourine_2018_yeast_gold_standard.tsv) is a signed connectivity matrix [993 rows x 98 columns] with an index column (0). Details of its construction have been published.
description: {"references": ["Jackson, C.A., Castro, D.M., Saldi, G.-A., Bonneau, R., and Gresham, D. (2020). Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments. ELife 9, e51254.", "Jariani, A., Vermeersch, L., Cerulus, B., Perez-Samper, G., Voordeckers, K., Van Brussel, T., Thienpont, B., Lambrechts, D., and Verstrepen, K.J. (2020). A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast. ELife 9, e55320.", "Tchourine, K., Vogel, C., and Bonneau, R. (2018). Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks. Cell Reports 23, 376\u2013388.", "Teixeira, M.C., Monteiro, P.T., Palma, M., Costa, C., Godinho, C.P., Pais, P., Cavalheiro, M., Antunes, M., Lemos, A., Pedreira, T., et al. (2018). YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae. Nucleic Acids Res 46, D348\u2013D353."]}
DOI: 10.5066/p96549l0
title: Precipitation, air temperature, streamflow, and water table depths from selected wells at the Panola Mountain Research Watershed, 2001 - 2003

description: This dataset contains hourly average groundwater level time-series for 19 monitoring wells at the Panola Mountain Research Watershed (PMRW) from January 2001 to October 2002. The data was used in a hydrologic modeling study to test a model formulation that allowed for bi-direction fluxes between groundwater and surface water in a bucket type hydrologic model. Some wells had missing data so record lengths were not equal. The water level data were quality controlled; unexplained peaks and shifts were removed, and these periods were indicated as having no data. The modeling study used average water level data from the riparian area and from the entire catchment for calibration. Riparian groundwater levels were calculated from the 13 riparian wells, while catchment average groundwater levels were calculated from the averages of levels from the riparian (n=13) and hillslope (n=6) wells, weighted based on the proportion of their landscape unit areas in the catchment (0.83 for hillslopes and 0.17 for riparian areas). Modeling required continuous record of water levels, so levels from each well were scaled based on their minimum and maximum levels measured during the period. Hourly riparian and catchment averages were then calculated from these scaled values, thereby, utilizing all available water level observations. Well levels were reported from the bottom of the well to facilitate this scaling, but levels can be converted to depth to water table below land surface using the provided well construction specifications. In addition to the groundwater level time series, the dataset also contains hourly time series of average streamflow at two locations at PMRW (outlet of the 10 ha Upper catchment and the 41 ha Lower catchment), total precipitation and average temperature for the January 2001 to October 2003 period. The longer period for these data were used for model verification.
DOI: 10.6084/m9.figshare.16441719
title: Data

description: This is a CSV data file, which includes baseline data collected before participants were exposed to the intervention, post-test data after participants were exposed to the intervention, and data from the control group. These data have been cleaned to remove outliers and to remove identifying information.
DOI: 10.6084/m9.figshare.16441719.v2
title: Data

description: This is a CSV data file, which includes baseline data collected before participants were exposed to the intervention, post-test data after participants were exposed to the intervention, and data from the control group. These data have been cleaned to remove outliers and to remove identifying information.
DOI: 10.6084/m9.figshare.16441719.v1
title: Data

description: This is an SPSS sav data file, which includes baseline data collected before participants were exposed to the intervention, post-test data after participants were exposed to the intervention, and data from the control group. These data have been cleaned to remove outliers and to remove identifying information.
DOI: 10.3886/icpsr38144.v1
title: Monetary Policy and the Redistribution Channel, Italy and U.S., 1999-2013, 2001-2002, 2010
title: Version 1

description: This study contains the top-level Panel Study of Income Dynamics (PSID) Stata dataset used for the analysis in "Monetary Policy in the Redistribution Channel", published by Adrien Auclert in the June 2019 issue of the American Economic Review. That article's abstract reads: "This paper evaluates the role of redistribution in the transmission mechanism of monetary policy to consumption. Three channels affect aggregate spending when winners and losers have different marginal propensities to consume: an earnings heterogeneity channel from unequal income gains, a Fisher channel from unexpected inflation, and an interest rate exposure channel from real interest rate changes. Sufficient statistics from Italian and US data suggest that all three channels are likely to amplify the effects of monetary policy."
description: Datasets: DS1: Monetary Policy and the Redistribution Channel, Italy and U.S., 1999-2013, 2001-2002, 2010
description: This study was originally published through OpenICPSR.
DOI: 10.3886/icpsr38144
title: Monetary Policy and the Redistribution Channel, Italy and U.S., 1999-2013, 2001-2002, 2010
title: Archival Version

description: This study contains the top-level Panel Study of Income Dynamics (PSID) Stata dataset used for the analysis in "Monetary Policy in the Redistribution Channel", published by Adrien Auclert in the June 2019 issue of the American Economic Review. That article's abstract reads: "This paper evaluates the role of redistribution in the transmission mechanism of monetary policy to consumption. Three channels affect aggregate spending when winners and losers have different marginal propensities to consume: an earnings heterogeneity channel from unequal income gains, a Fisher channel from unexpected inflation, and an interest rate exposure channel from real interest rate changes. Sufficient statistics from Italian and US data suggest that all three channels are likely to amplify the effects of monetary policy."
description: Datasets: DS1: Monetary Policy and the Redistribution Channel, Italy and U.S., 1999-2013, 2001-2002, 2010
description: This study was originally published through OpenICPSR.