cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a26w9698s
title: Metabolically active prokaryotes in tundra soil near Utqiagvik, Alaska in summer and fall, 2018

description: When wet Arctic tundra soils begin to freeze in the fall, an unfrozen layer remains between the frozen surface and deeper permafrost layers. This period is known as the zero curtain, as liquid water keeps the temperature of this soil layer near 0 Celsius (C) while latent heat is gradually dissipated. This project investigates the microbes that are metabolically active in the unfrozen layer during the fall zero curtain period and compares this community to that which is active in the late summer at the same depth (10-20 centimeters (cm)). This dataset contains the abundance and taxonomic designation of distinct 16S ribosomal ribonucleic acid (16S rRNA) sequences (operational taxonomic units, OTU's) associated with samples in this study. These data complement the sequences and metadata deposited in GenBank Bioproject PRJNA780202.
DOI: 10.5258/soton/d1976
title: Dataset for "Mass transfer from small spheroids suspended in a turbulent fluid"

description: Dataset for:Lawson, J., & Ganapathisubramani, B. (2021). Mass transfer from small spheroids suspended in a turbulent fluid. Journal of Fluid Mechanics, 929, A19. doi:10.1017/jfm.2021.867
DOI: 10.18739/a2348gh5f
title: Dissolved methane concentrations in Arctic tundra soil profiles in Utqiagvik, Alaska during Fall 2019 and Spring 2021

description: When wet Arctic tundra soils begin to freeze in the fall, an unfrozen layer remains between the frozen surface and deeper permafrost layers. This period is known as the zero curtain, as liquid water keeps the temperature of this soil layer near 0 Celsius (C) while latent heat is gradually dissipated. Significant methane emissions have been observed during this period but the role of concurrent biological production vs escape of stored methane requires more study. This dataset includes dissolved methane concentrations from the active layer (upper 35 centimeters (cm)) of Arctic tundra soils during the fall zero curtain period and in the spring, at the beginning of the thaw period. These data help address the question of biological methane production and storage during the fall.
DOI: 10.25345/c5ts2n
title: MassIVE MSV000088569 - GNPS - DDA - Optimization method
title: Non-target metabolomics of a natural products pool in different concentrations to use for an optimization method with QE-HF
DOI: 10.6084/m9.figshare.17072792
title: Figure 5 Raw data

description: <b>Figure 5. siRNA-mediated suppression of CRTAM, FOXP4, GRIN2C, LILRA3, PIBF1, SCGB3A1 and TXNDC12 in SH-SY5Y human neuroblastoma cells reduces inflammation-induced pS199/pS202 (AT8) and/or pT231 (AT180) tau phosphorylation. </b>SH-SY5Y cells were transiently transfected with siRNAs (individually, in triplicate for the GOI). After 48 h, cells were treated with CM (at 50%) derived from BV2 microglial cells. After 24 h, the lysates from SH-SY5Y cells were prepared and Western blot was performed for AT8 and AT180 antibodies and actin as loading control. Note that the levels of AT8 and/or AT180 are significantly altered in SH-SY5Y cells upon knockdown of MPxgb(AD) predicted <i>CRTAM, FOXP4, GRIN2C, LILRA3, PIBF1, SCGB3A1 and TXNDC12</i> genes. Data shown are mean + s.e.m; unpaired <i>t </i>tests; *p&lt;0.05; **p&lt;0.01, ***p&lt;0.005, n=3 technical replicates and n=3 biological replicates).
DOI: 10.6084/m9.figshare.17072792.v2
title: Figure 5 Raw data

description: <b>Figure 5. siRNA-mediated suppression of CRTAM, FOXP4, GRIN2C, LILRA3, PIBF1, SCGB3A1 and TXNDC12 in SH-SY5Y human neuroblastoma cells reduces inflammation-induced pS199/pS202 (AT8) and/or pT231 (AT180) tau phosphorylation. </b>SH-SY5Y cells were transiently transfected with siRNAs (individually, in triplicate for the GOI). After 48 h, cells were treated with CM (at 50%) derived from BV2 microglial cells. After 24 h, the lysates from SH-SY5Y cells were prepared and Western blot was performed for AT8 and AT180 antibodies and actin as loading control. Note that the levels of AT8 and/or AT180 are significantly altered in SH-SY5Y cells upon knockdown of MPxgb(AD) predicted <i>CRTAM, FOXP4, GRIN2C, LILRA3, PIBF1, SCGB3A1 and TXNDC12</i> genes. Data shown are mean + s.e.m; unpaired <i>t </i>tests; *p&lt;0.05; **p&lt;0.01, ***p&lt;0.005, n=3 technical replicates and n=3 biological replicates).
DOI: 10.6084/m9.figshare.17072792.v1
title: Figure 5 Raw data

description: <b>Figure 5. siRNA-mediated suppression of CRTAM, FOXP4, GRIN2C, LILRA3, PIBF1, SCGB3A1 and TXNDC12 in SH-SY5Y human neuroblastoma cells reduces inflammation-induced pS199/pS202 (AT8) and/or pT231 (AT180) tau phosphorylation. </b>SH-SY5Y cells were transiently transfected with siRNAs (individually, in triplicate for the GOI). After 48 h, cells were treated with CM (at 50%) derived from BV2 microglial cells. After 24 h, the lysates from SH-SY5Y cells were prepared and Western blot was performed for AT8 and AT180 antibodies and actin as loading control. Note that the levels of AT8 and/or AT180 are significantly altered in SH-SY5Y cells upon knockdown of MPxgb(AD) predicted <i>CRTAM, FOXP4, GRIN2C, LILRA3, PIBF1, SCGB3A1 and TXNDC12</i> genes. Data shown are mean + s.e.m; unpaired <i>t </i>tests; *p&lt;0.05; **p&lt;0.01, ***p&lt;0.005, n=3 technical replicates and n=3 biological replicates).
DOI: 10.15468/v2t2h6
title: The “ Spaghetti Project ”: the final identification guide to European Terebellidae (sensu lato) (Annelida, Terebelliformia)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lavesque, Nicolas, Hutchings, Pat, Londoño-Mesa, Mario H., Nogueira, João M. M., Daffe, Guillemine, Nygren, Arne, Blanchet, Hugues, Bonifácio, Paulo, Broudin, Caroline, Dauvin, Jean-Claude, Droual, Gabin, Gouillieux, Benoit, Grall, Jacques, Guyonnet, Benjamin, Houbin, Céline, Humbert, Suzie, Janson, Anne-Laure, Jourde, Jérôme, Labrune, Céline, Lamarque, Bastien, Latry, Lise, Garrec, Vincent Le, Pelaprat, Corine, Pezy, Jean-Philippe, Sauriau, Pierre-Guy, Montaudouin, Xavier De (2021): The “ Spaghetti Project ”: the final identification guide to European Terebellidae (sensu lato) (Annelida, Terebelliformia). European Journal of Taxonomy 782 (1): 108-156, DOI: https://doi.org/10.5852/ejt.2021.782.1593, URL: http://dx.doi.org/10.5852/ejt.2021.782.1593
DOI: 10.15468/k2xmqr
title: Five new species of Englerophytum K. Krause (Sapotaceae) from central Africa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gautier, Laurent, Lachenaud, Olivier, Burgt, Xander van der, Kenfack, David (2016): Five new species of Englerophytum K. Krause (Sapotaceae) from central Africa. Candollea 71 (2): 287-305, DOI: 10.15553/c2016v712a14
DOI: 10.25345/c5pz8d
title: MassIVE MSV000088570 - GNPS In vitro cultured bacteria with or with bile salts
title: Bacteria cultured in vitro with bile acid supplemented growth media, and growth media of same bacteria without bile acids.
DOI: 10.5281/zenodo.5784384
title: Learning Rich Representation of Keyphrases from Text

description: In this work, we explore how to learn task-specific language models aimed towards learning rich representation of keyphrases from text documents. We experiment with different masking strategies for pre-training transformer language models (LMs) in discriminative as well as generative settings. In the discriminative setting, we introduce a new pre-training objective - Keyphrase Boundary Infilling with Replacement (KBIR), showing large gains in performance (up to 9.26 points in F1) over SOTA, when LM pre-trained using KBIR is fine-tuned for the task of keyphrase extraction. In the generative setting, we introduce a new pre-training setup for BART - KeyBART, that reproduces the keyphrases related to the input text in the CatSeq format, instead of the denoised original input. This also led to gains in performance (up to 4.33 points in F1@M) over SOTA for keyphrase generation. Additionally, we also fine-tune the pre-trained language models on named entity recognition (NER), question answering (QA), relation extraction (RE), abstractive summarization and achieve comparable performance with that of the SOTA, showing that learning rich representation of keyphrases is indeed beneficial for many other fundamental NLP tasks. As a part of this zip file we release the KBIR model which is continually pre-trained on RoBERTa-Large and also the KeyBART model which is continually pre-trained on BART-Large. Both these models can be used in place of a RoBERTa-Large or BART-Large model in PyTorch codebases and also with HuggingFace.
DOI: 10.5281/zenodo.5781448
title: Learning Rich Representation of Keyphrases from Text

description: In this work, we explore how to learn task-specific language models aimed towards learning rich representation of keyphrases from text documents. We experiment with different masking strategies for pre-training transformer language models (LMs) in discriminative as well as generative settings. In the discriminative setting, we introduce a new pre-training objective - Keyphrase Boundary Infilling with Replacement (KBIR), showing large gains in performance (up to 9.26 points in F1) over SOTA, when LM pre-trained using KBIR is fine-tuned for the task of keyphrase extraction. In the generative setting, we introduce a new pre-training setup for BART - KeyBART, that reproduces the keyphrases related to the input text in the CatSeq format, instead of the denoised original input. This also led to gains in performance (up to 4.33 points in F1@M) over SOTA for keyphrase generation. Additionally, we also fine-tune the pre-trained language models on named entity recognition (NER), question answering (QA), relation extraction (RE), abstractive summarization and achieve comparable performance with that of the SOTA, showing that learning rich representation of keyphrases is indeed beneficial for many other fundamental NLP tasks. As a part of this zip file we release the KBIR model which is continually pre-trained on RoBERTa-Large and also the KeyBART model which is continually pre-trained on BART-Large. Both these models can be used in place of a RoBERTa-Large or BART-Large model in PyTorch codebases and also with HuggingFace.
DOI: 10.5517/ccdc.csd.cc24wv0x
title: CCDC 1992959: Experimental Crystal Structure Determination

description: Related Article: Hassan Al Sabea, Lucie Norel, Olivier Galangau, Thierry Roisnel, Olivier Maury, François Riobé, Stéphane Rigaut|2020|Adv.Funct.Mater.|30|2002943|doi:10.1002/adfm.202002943
DOI: 10.5517/ccdc.csd.cc253xy5
title: CCDC 1999777: Experimental Crystal Structure Determination

description: Related Article: Subal Dey, Tanya K. Todorova, Marc Fontecave, Victor Mougel|2020|Angew.Chem.,Int.Ed.|59|15726|doi:10.1002/anie.202006269
DOI: 10.5517/ccdc.csd.cc265z4j
title: CCDC 2031527: Experimental Crystal Structure Determination

description: Related Article: abian Schmitz, Jonas Horn, Nicola Dengo, Alexander E. Sedykh, Jonathan Becker, Elena Maiworm, Péter Bélteky, Ákos Kukovecz, Silvia Gross, Francesco Lamberti, Klaus Müller-Buschbaum, Derck Schlettwein, Daniele Meggiolaro, Marcello Righetto, Teresa Gatti|2021|Chem.Mater.|33|4688|doi:10.1021/acs.chemmater.1c01182
DOI: 10.5517/ccdc.csd.cc265z5k
title: CCDC 2031528: Experimental Crystal Structure Determination

description: Related Article: abian Schmitz, Jonas Horn, Nicola Dengo, Alexander E. Sedykh, Jonathan Becker, Elena Maiworm, Péter Bélteky, Ákos Kukovecz, Silvia Gross, Francesco Lamberti, Klaus Müller-Buschbaum, Derck Schlettwein, Daniele Meggiolaro, Marcello Righetto, Teresa Gatti|2021|Chem.Mater.|33|4688|doi:10.1021/acs.chemmater.1c01182
DOI: 10.5517/ccdc.csd.cc26chkn
title: CCDC 2036841: Experimental Crystal Structure Determination

description: Related Article: Atash Gurbanov, Dmitriy Mertsalov, Fedor Zubkov, Maryana Nadirova, Eugeniya Nikitina, Hieu Truong, Mikhail Grigoriev, Vladimir Zaytsev, Kamran Mahmudov, Armando Pombeiro|2021|Crystals|11|112|doi:10.3390/cryst11020112
DOI: 10.5517/ccdc.csd.cc26chjm
title: CCDC 2036840: Experimental Crystal Structure Determination

description: Related Article: Atash Gurbanov, Dmitriy Mertsalov, Fedor Zubkov, Maryana Nadirova, Eugeniya Nikitina, Hieu Truong, Mikhail Grigoriev, Vladimir Zaytsev, Kamran Mahmudov, Armando Pombeiro|2021|Crystals|11|112|doi:10.3390/cryst11020112
DOI: 10.5281/zenodo.5784349
title: Chaos and irreversibility of a flexible filament in periodically--driven Stokes flow

description: <pre>This directory contains a jupyter notebook file, generate_plots.ipynb which generate all the plots for paper "Chaos and irreversibility of a flexible filament in periodically driven Stokes flow" (arXiv:2111.14638) by Vipin Agrawal and Dhrubaditya Mitra. Readme.md file contains the information on how to use the data. If anything turns out to be incomplete, please reach to vipinagrawal25@gmail.com.</pre>
DOI: 10.5517/ccdc.csd.cc26chmq
title: CCDC 2036843: Experimental Crystal Structure Determination

description: Related Article: Atash Gurbanov, Dmitriy Mertsalov, Fedor Zubkov, Maryana Nadirova, Eugeniya Nikitina, Hieu Truong, Mikhail Grigoriev, Vladimir Zaytsev, Kamran Mahmudov, Armando Pombeiro|2021|Crystals|11|112|doi:10.3390/cryst11020112
DOI: 10.5517/ccdc.csd.cc2304gr
title: CCDC 1936553: Experimental Crystal Structure Determination

description: Related Article: Zhongzheng Cui, Beining Wang, Junxia Li, Ronglin Pang, Yanrui Kang, Xu‐Qiong Xiao|2021|Chin.J.Chem.|39|2410|doi:10.1002/cjoc.202100302
DOI: 10.5517/ccdc.csd.cc2304hs
title: CCDC 1936554: Experimental Crystal Structure Determination

description: Related Article: Zhongzheng Cui, Beining Wang, Junxia Li, Ronglin Pang, Yanrui Kang, Xu‐Qiong Xiao|2021|Chin.J.Chem.|39|2410|doi:10.1002/cjoc.202100302
DOI: 10.5281/zenodo.5769915
title: Chaos and irreversibility of a flexible filament in periodically--driven Stokes flow

description: <pre>This directory contains a jupyter notebook file, generate_plots.ipynb which generate all the plots for paper "Chaos and irreversibility of a flexible filament in periodically driven Stokes flow" (arXiv:2111.14638) by Vipin Agrawal and Dhrubaditya Mitra. Readme.md file contains the information on how to use the data. If anything turns out to be incomplete, please reach to vipinagrawal25@gmail.com.</pre>
DOI: 10.5517/ccdc.csd.cc2304jt
title: CCDC 1936555: Experimental Crystal Structure Determination

description: Related Article: Zhongzheng Cui, Beining Wang, Junxia Li, Ronglin Pang, Yanrui Kang, Xu‐Qiong Xiao|2021|Chin.J.Chem.|39|2410|doi:10.1002/cjoc.202100302
DOI: 10.5517/ccdc.csd.cc2304kv
title: CCDC 1936556: Experimental Crystal Structure Determination

description: Related Article: Zhongzheng Cui, Beining Wang, Junxia Li, Ronglin Pang, Yanrui Kang, Xu‐Qiong Xiao|2021|Chin.J.Chem.|39|2410|doi:10.1002/cjoc.202100302
DOI: 10.5517/ccdc.csd.cc26nc19
title: CCDC 2045350: Experimental Crystal Structure Determination

description: Related Article: Linnea Lindh, Olga Gordivska, Samuel Persson, Hannes Michaels, Hao Fan, Pavel Chábera, Nils W. Rosemann, Arvind Kumar Gupta, Iacopo Benesperi, Jens Uhlig, Om Prakash, Esmaeil Sheibani, Kasper S. Kjaer, Gerrit Boschloo, Arkady Yartsev, Marina Freitag, Reiner Lomoth, Petter Persson, Kenneth Wärnmark|2021|Chemical Science|12|16035|doi:10.1039/D1SC02963K
DOI: 10.5517/ccdc.csd.cc268tx7
title: CCDC 2034279: Experimental Crystal Structure Determination

description: Related Article: Linnea Lindh, Olga Gordivska, Samuel Persson, Hannes Michaels, Hao Fan, Pavel Chábera, Nils W. Rosemann, Arvind Kumar Gupta, Iacopo Benesperi, Jens Uhlig, Om Prakash, Esmaeil Sheibani, Kasper S. Kjaer, Gerrit Boschloo, Arkady Yartsev, Marina Freitag, Reiner Lomoth, Petter Persson, Kenneth Wärnmark|2021|Chemical Science|12|16035|doi:10.1039/D1SC02963K
DOI: 10.3886/e119446v134
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
DOI: 10.18739/a2zc7rv9z
title: Conductivity Temperature Depth (CTD) data from the Iceland Greenland Seas Project (IGP) on NRV Alliance in 2018

description: The Iceland-Greenland Seas Project (IGP) is an international, multi-disciplinary program investigating wintertime ventilation in the western Nordic Seas and the associated atmospheric forcing. The fieldwork consisted of a wide array of components, including two winter cruises, an aircraft campaign, moorings, gliders, floats, and a meteorological buoy. This data submission includes shipboard hydrographic data collected on the NATO Research Vessel (NRV) Alliance winter cruise in February-March 2018.
DOI: 10.6084/m9.figshare.17207741
title: Reduced ecosystem resilience quantifies fine-scale heterogeneity in tropical forest mortality responses to drought

description: Iterms: (1) Relations between Landsat EVI residual autocorrelation and in situ forest mortality; (2) Forest mortality maps at 30 meter resolution in northwestern Costa Rica in 2014-2017.<br>
DOI: 10.5281/zenodo.5783856
title: uprolls2021-h

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5281/zenodo.5783855
title: uprolls2021-h

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5281/zenodo.5783862
title: uprolls2021-i

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5281/zenodo.5783861
title: uprolls2021-i

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5281/zenodo.5783866
title: uprolls2021-j

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5281/zenodo.5783865
title: uprolls2021-j

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5519/qd.i9vtau37
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1101 records)
DOI: 10.15468/35442v
title: Revised classification of the New World Cylapini (Heteroptera: Miridae: Cylapinae): taxonomic review of the genera Cylapinus, Cylapoides and Peltidocylapus and a morphology-based phylogenetic analysis of tribe Cylapini

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wolski, Andrzej (2021): Revised classification of the New World Cylapini (Heteroptera: Miridae: Cylapinae): taxonomic review of the genera Cylapinus, Cylapoides and Peltidocylapus and a morphology-based phylogenetic analysis of tribe Cylapini. Zootaxa 5074 (1): 1-66, DOI: https://doi.org/10.11646/zootaxa.5074.1.1
DOI: 10.21985/n2-b5bm-3b17
title: Characteristics of early-stage research
DOI: 10.25919/ebjm-sw82
title: Parkes pulsar observations with undefined project IDs for 2021OCTS_04

description: Parkes pulsar observations with undefined project IDs for 2021OCTS. This collection contains observations from project ID PUNDEF.
DOI: 10.25919/qtrp-hj82
title: Parkes observations for project P1032 semester 2021OCTS_04

description: This project aims to continue to perform rapid measurements of relativistic parameters of southern binary pulsar systems using data from the Parkes Ultra Wideband Low (UWL) receiver and the MeerKAT telescope thereby enabling measurement of their component masses and in some cases, test theories of gravity. We will use the UWL data to obtain significant orbital coverage and timing baseline on these pulsars and obtain important constraints on orbital and temporal DM variations that will help in identifying the nature of the companion star. We will then use MeerKAT data at crucial orbital phases to improve our chances of measuring the relativistic parameters. Increase in the number of measured NS masses has profound implications for NS internal structure and for stellar and binary evolution physics. From this semester, we are converting this proposal into a ``Large project" proposal.
DOI: 10.6084/m9.figshare.15019443
title: Data_Weingarten_etal_2021

description: This dataset contains modeled foliar traits for M. polymorpha canopies derived from VSWIR imagery collected by the Global Airborne Observatory from 2018.
DOI: 10.6084/m9.figshare.15019443.v1
title: Data_Weingarten_etal_2021

description: This dataset contains modeled foliar traits for M. polymorpha canopies derived from VSWIR imagery collected by the Global Airborne Observatory from 2018.
DOI: 10.25318/3210015301-fra
title: Utilisation des terres, données chronologiques du Recensement de l'agriculture

description: Recensement de l’agriculture, 1921 à 2021. Superficie agricole totale, terres en culture, terres en jachère , pâturages cultivés ou ensemencés et toutes les autres superficies.
DOI: 10.25318/3210015401-eng
title: Selected crops, Census of Agriculture historical data

description: Census of Agriculture, 1921 to 2021. Selected crops.