cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7235958
title: Container flows on road, rail and waterways along Rhine-Alpine corridor (Rhine section) at NUTS-2 level with cost-time-emissions estimates and accessibility-frequency-availability of modes

description: The present dataset is used to estimate the heterogeneous mode choice preferences of shippers, that are presented in the following article :<br> "A Logit Mixture Model Estimating the Heterogeneous Mode Choice Preferences of Shippers Based on Aggregate Data"<br> (Nicolet, A., Negenborn, R. R. & Atasoy, B., A Logit Mixture Model Estimating the Heterogeneous Mode Choice Preferences of Shippers Based on Aggregate Data. IEEE Open Journal of Intelligent Transportation Systems, Vol. 3, 2022, pp. 650-661.)
DOI: 10.18739/a2x921m1c
title: Holocene eolian sediment and organic matter from terraces and hillslopes around Healy, Central Alaska

description: Three natural exposures near Healy, Alaska (Dry Creek, Panguingue Creek, and Healy Spur) and transects of shallow cores from three hillslopes near Eight Mile Lake were analyzed for particle-size distribution, loss-on-ignition for organic matter content, and radiocarbon dating. This study is part of a Master’s thesis research project by Walker at Northern Arizona University (https://www.proquest.com/openview/80b94829f88d5c8e0d0d678581079273/1?pq-origsite=gscholar&amp;amp;amp;amp;cbl=18750&amp;amp;amp;amp;diss=y). It builds on work of Marshall et al. (2023; doi: 10.1029/2022JG007290) who reported data from additional sediment cores taken along one of the hillslopes in this study, namely Hillslope A (https://arcticdata.io/catalog/view/doi:10.18739/A2F76683D). The motivation was to compare datasets of eolian material between different depositional settings, as well as identify trends in eolian thickness and particle size across the Healy landscape to reconstruct Holocene eolian deposition and identify the factors influencing depositon.
DOI: 10.3886/e198622v3
title: ECIN Replication Package for "Is Economics self-correcting? Replications in the American Economic Review"

description: This paper reviews the impact of replications published as comments in the American Economic Review between 2010 and 2020. We examine their citations and influence on the original papers’ subsequent citations. Our results show that comments are barely cited, and they do not affect the original paper’s citations – even if the comment diagnoses substantive problems. Furthermore, we conduct an opinion survey among replicators and authors and find that there often is no consensus on whether the original paper’s contribution sustains. We conclude that the economics literature does not self-correct, and that robustness and replicability are hard to define in economics.
description: Response Rates: 57% of authors responded to our author survey. <br>100% of living AER editors responded to our editor survey.
description: Presence of Common Scales: A likert-type scale was used for most questions in the author survey. We also included open-ended questions, as well as asking for numbers. <br>The editor survey consisted of open ended questions via email.<br>The citation data was manually collected from GoogleScholar.
description: We include all comments in the AER between 2010 and 2020 as well as the original papers they are written on in our sample.
description: Comments published in the AER between 2010 and 2020, the original papers they are written on, the authors of comments and original papers, the editors of the AER, and all papers and comments published between 1980 and 2021 in the AER.
description: mail questionnaire; other; web-based survey;
DOI: 10.3886/e198622v1
title: ECIN-Feb-2023-0095.R2 Replication Package for: "Is Economics self-correcting? Replications in the American Economic Review"

description: This paper reviews the impact of replications published as comments in the American Economic Review between 2010 and 2020. We examine their citations and influence on the original papers’ subsequent citations. Our results show that comments are barely cited, and they do not affect the original paper’s citations – even if the comment diagnoses substantive problems. Furthermore, we conduct an opinion survey among replicators and authors and find that there often is no consensus on whether the original paper’s contribution sustains. We conclude that the economics literature does not self-correct, and that robustness and replicability are hard to define in economics.
description: Response Rates: 57% of authors responded to our author survey. <br>100% of living AER editors responded to our editor survey.
description: Presence of Common Scales: A likert-type scale was used for most questions in the author survey. We also included open-ended questions, as well as asking for numbers. <br>The editor survey consisted of open ended questions via email.<br>The citation data was manually collected from GoogleScholar.
description: We include all comments in the AER between 2010 and 2020 as well as the original papers they are written on in our sample.
description: Comments published in the AER between 2010 and 2020, the original papers they are written on, the authors of comments and original papers, the editors of the AER, and all papers and comments published between 1980 and 2021 in the AER.
description: mail questionnaire; other; web-based survey;
DOI: 10.3886/e198622v2
title: ECIN Replication Package for "Is Economics self-correcting? Replications in the American Economic Review"

description: This paper reviews the impact of replications published as comments in the American Economic Review between 2010 and 2020. We examine their citations and influence on the original papers’ subsequent citations. Our results show that comments are barely cited, and they do not affect the original paper’s citations – even if the comment diagnoses substantive problems. Furthermore, we conduct an opinion survey among replicators and authors and find that there often is no consensus on whether the original paper’s contribution sustains. We conclude that the economics literature does not self-correct, and that robustness and replicability are hard to define in economics.
description: Response Rates: 57% of authors responded to our author survey. <br>100% of living AER editors responded to our editor survey.
description: Presence of Common Scales: A likert-type scale was used for most questions in the author survey. We also included open-ended questions, as well as asking for numbers. <br>The editor survey consisted of open ended questions via email.<br>The citation data was manually collected from GoogleScholar.
description: We include all comments in the AER between 2010 and 2020 as well as the original papers they are written on in our sample.
description: Comments published in the AER between 2010 and 2020, the original papers they are written on, the authors of comments and original papers, the editors of the AER, and all papers and comments published between 1980 and 2021 in the AER.
description: mail questionnaire; other; web-based survey;
DOI: 10.6084/m9.figshare.25398766.v1
title: comb flit

description: The comb with 10x and SS2 from Idk, mb, 2023 Cell Stem Cell
DOI: 10.3886/e198622
title: ECIN Replication Package for "Is Economics self-correcting? Replications in the American Economic Review"

description: This paper reviews the impact of replications published as comments in the American Economic Review between 2010 and 2020. We examine their citations and influence on the original papers’ subsequent citations. Our results show that comments are barely cited, and they do not affect the original paper’s citations – even if the comment diagnoses substantive problems. Furthermore, we conduct an opinion survey among replicators and authors and find that there often is no consensus on whether the original paper’s contribution sustains. We conclude that the economics literature does not self-correct, and that robustness and replicability are hard to define in economics.
description: Response Rates: 57% of authors responded to our author survey. <br>100% of living AER editors responded to our editor survey.
description: Presence of Common Scales: A likert-type scale was used for most questions in the author survey. We also included open-ended questions, as well as asking for numbers. <br>The editor survey consisted of open ended questions via email.<br>The citation data was manually collected from GoogleScholar.
description: We include all comments in the AER between 2010 and 2020 as well as the original papers they are written on in our sample.
description: Comments published in the AER between 2010 and 2020, the original papers they are written on, the authors of comments and original papers, the editors of the AER, and all papers and comments published between 1980 and 2021 in the AER.
description: mail questionnaire; other; web-based survey;
DOI: 10.6084/m9.figshare.25335259.v1
title: Grouped heterogeneity in linear panel data models with heterogeneous error variances

description: We develop a procedure to identify latent group structures in linear panel data models that exploits a grouping in the error variances of cross-sectional units. To accommodate such grouping, we introduce an objective function that avoids a singularity that arises in a pseudolikelihood approach. We provide theoretical and numerical evidence showing when allowing for variance groups improves classification. The developed procedure provides new evidence on the relation between firm-level research and development (R&D) investments and the business cycle. We find a well-defined group structure in the variances that ex-post can be related to firm size. Our estimates indicate stronger procyclical investment patterns at medium-size firms compared to large firms.
DOI: 10.6084/m9.figshare.25402561
title: Study on target power spectrum density curves for seismic residual irregularity of high-speed railway

description: Study on target power spectrum density curves for seismic residual irregularity of high-speed railway
DOI: 10.6073/pasta/bc3e356dd040107793a1d0af58d136dc
title: Shaler Meteorological Station at Harvard Forest 1964-2002

description: Minimum air temperature, maximum air temperature, and 24-hour precipitation amounts were recorded daily at the Shaler Meteorological Station located 30 m southeast of the main headquarters building (Shaler Hall). Precipitation data were published in NOAA's Climatological Data: New England. The Shaler Met Station was replaced by the Fisher Met Station (dataset HF001) and discontinued on 30 June 2002. For a longer climate record that includes data from the Fisher Met Station, please see dataset HF300.
DOI: 10.5517/ccdc.csd.ccy7yrv
title: CCDC 871588: Experimental Crystal Structure Determination

description: Related Article: Yuzhong Xie, Guogang shan|2016|CSD Communication|||
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.ccy7yqt
title: CCDC 871587: Experimental Crystal Structure Determination

description: Related Article: Yuzhong Xie, Guogang shan|2016|CSD Communication|||
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/cc134fvj
title: CCDC 1017167: Experimental Crystal Structure Determination

description: Related Article: Chen Hou, Jiacheng Liu|2014|CSD Communication|||
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/cc1j1f11
title: CCDC 1401542: Experimental Crystal Structure Determination

description: Related Article: Bingguang Zhang, Xiaoshuang Lu|2015|CSD Communication|||
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/cc1j8q8s
title: CCDC 1408555: Experimental Crystal Structure Determination

description: Related Article: Anhua Liao, Zhiguo Wang, Hanmei Zhang, Siman Liu|2015|CSD Communication|||
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.cc1jyjmm
title: CCDC 1428561: Experimental Crystal Structure Determination

description: Related Article: HuiMin Shang, Hong Liu|2017|CSD Communication|||
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.cc1jyjqq
title: CCDC 1428564: Experimental Crystal Structure Determination

description: Related Article: HuiMin Shang, Hong Liu|2017|CSD Communication|||
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.cc1jyjrr
title: CCDC 1428565: Experimental Crystal Structure Determination

description: Related Article: HuiMin Shang, Hong Liu|2017|CSD Communication|||
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.cc1jyjss
title: CCDC 1428566: Experimental Crystal Structure Determination

description: Related Article: HuiMin Shang, Hong Liu|2017|CSD Communication|||
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.cc248yt6
title: CCDC 1974818: Experimental Crystal Structure Determination

description: Related Article: Chang-Heng Tan, Xiao-Feng Wang|2020|CSD Communication|||
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: 10.22002/bhvqz-qbs96
title: Supplementary Data: D-SPIN constructs gene regulatory network models from multiplexed scRNA-seq data revealing organizing principles of cellular perturbation response

description: Gene regulatory networks within cells modulate the expression of the genome in response to signals and changing environmental conditions. Reconstructions of gene regulatory networks can reveal the information processing and control principles used by cells to maintain homeostasis and execute cell-state transitions. Here, we introduce a computational framework, D-SPIN, that generates quantitative models of gene regulatory networks from single-cell mRNA-seq data sets collected across thousands of distinct perturbation conditions. D-SPIN models the cell as a collection of interacting gene-expression programs, and constructs a probabilistic model to infer regulatory interactions between gene-expression programs and external perturbations. Using large Perturb-seq and drug-response datasets, we demonstrate that D-SPIN models reveal the organization of cellular pathways, sub-functions of macromolecular complexes, and the logic of cellular regulation of transcription, translation, metabolism, and protein degradation in response to gene knockdown perturbations. D-SPIN can also be applied to dissect drug response mechanisms in heterogeneous cell populations, elucidating how combinations of immunomodulatory drugs can induce novel cell states through additive recruitment of gene expression programs. D-SPIN provides a computational framework for constructing interpretable models of gene-regulatory networks to reveal principles of cellular information processing and physiological control.
DOI: 10.25345/c53776615
title: MassIVE MSV000094312 - Unbiased mapping of Thr4 phosphorylation on RNA Pol II CTD indicates role in elongation and 3'-end processing
title: RNA polymerase II relies on a repetitive sequence domain (YSPTSPS) within its largest subunit to orchestrate transcription. While the significance of phosphorylation on Ser2/Ser5 is well-established, the role of Thr4 remains enigmatic. Thr4 phosphorylation has been implicated in elongation, termination, and mRNA processing, yet it has only been detected after transcription end sites, presenting a paradox. Our investigation revealed that Thr4 phosphorylation is initially obscured by flanking Ser5 phosphorylation at the onset of transcription. By selectively removing this masking effect using a phosphatase, we unveiled the true genomic location of this evolutionarily conserved phosphorylation mark, shedding light on Thr4 phosphorylation cellular functions. Subsequent proteomic analyses unearthed that many proteins previously associated with Ser2 are actually recruited to transcription via Thr4. Crucially, Thr4 phosphorylation primes Ser2 phosphorylation, leading to lethal defects in 3'-end processing. Our findings delineate the true genomic location and function of this "phantom" mark, prompting a reassessment of functional assignments of the CTD heptad.
DOI: 10.6084/m9.figshare.25403227
title: Database for acupoint selection and combination analysis in the acupuncture treatment of PSUI

description: This dataset encompasses the entire process of acupoint selection and combination analysis in the acupuncture treatment of PSUI, as described in this article. It includes basic information about the original literature included in the analysis, the extracted acupoint combinations from the original literatures, the deduplicated acupoint combination prescriptions, as well as the code written in the R programming language for frequency, association rule, and cluster analysis, along with the generated files.
DOI: 10.6084/m9.figshare.25403227.v1
title: Database for acupoint selection and combination analysis in the acupuncture treatment of PSUI

description: This dataset encompasses the entire process of acupoint selection and combination analysis in the acupuncture treatment of PSUI, as described in this article. It includes basic information about the original literature included in the analysis, the extracted acupoint combinations from the original literatures, the deduplicated acupoint combination prescriptions, as well as the code written in the R programming language for frequency, association rule, and cluster analysis, along with the generated files.
DOI: 10.34740/kaggle/dsv/7835733
title: Singapore Airlines Reviews
DOI: 10.5281/zenodo.10229506
title: FLIGHTED: Inferring Fitness Landscapes from Noisy High-Throughput Experimental Data

description: Data for FLIGHTED (Inferring Fitness Landscapes from Noisy High-Throughput Experimental Data).
The data is arranged in the following folders:

DHARMA_Input: contains the input for the DHARMA models, with the canvas sequence, the DHARMA reads, and the FACS data.
DHARMA_Models: contains the weights, hyperparameters, and model training history for the FLIGHTED-DHARMA model.
Fitness_Landscapes: the GB1 landscape, with and without FLIGHTED, as well as splits published by FLIP.
Landscape_Models: models trained on the GB1 landscape with and without FLIGHTED under the various FLIP splits. Each model folder contains hyperparameters, training history, and predictions on the test set which can be used to evaluate model performance.
FLIGHTED_Selection: contains the weights, hyperparameters, and model training history for the FLIGHTED-Selection model.
Selection_Simulations: contains the simulated training data for the FLIGHTED-Selection model.
DOI: 10.5519/qd.tpywunpg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (240 records)
DOI: 10.25345/c5zk55x9g
title: MassIVE MSV000094313 - Revealing the Heterogeneity in Lung Compartment Inflammatory Cell Protein Interactions in Acute Respiratory Distress Syndrome
title: We compared the bronchoalveolar lavage cell proteins from healthy controls (n=3) to acute respiratory distress syndrome (ARDS, n=6). Subgroup analysis was performed to determine the differences between ARDS survivors (n=3) and non-survivors (n=3). The cells were processed to maximize protein recovery, followed by trypsin digestion and labeling with TMT-10Plex reagent. Spectral data acquisition was conducted using 2D LC-MS/MS Orbitrap Fusion instrumentation.
DOI: 10.6084/m9.figshare.25403314
title: Randomly generated function data for manuscript "Automated Discovery of Integral with Deep Learning"

description: Randomly generated function data for manuscript "Automated Discovery of Integral with Deep Learning"
DOI: 10.6084/m9.figshare.25403314.v1
title: Randomly generated function data for manuscript "Automated Discovery of Integral with Deep Learning"

description: Randomly generated function data for manuscript "Automated Discovery of Integral with Deep Learning"
DOI: 10.6084/m9.figshare.25403314.v2
title: Randomly generated function data for manuscript "Automated Discovery of Integral with Deep Learning"

description: Randomly generated function data for manuscript "Automated Discovery of Integral with Deep Learning"
DOI: 10.5519/qd.ksl33ypz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)