cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5658539
title: Psolus chitonoides SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.16965124
title: (Al,FeOOH)_acousticwavevelocity_dataset.xlsx

description: Acoustic wave velocity dataset of δ-(Al,Fe)OOH single crystals at high pressure conditions<br>
DOI: 10.6073/pasta/8dfe5eac4ecf157b7b91ced772aa214a
title: Interagency Ecological Program: Over four decades of juvenile fish monitoring data from the San Francisco Estuary, collected by the Delta Juvenile Fish Monitoring Program, 1976-2021

description: The United States Fish and Wildlife Service Delta Juvenile Fish Monitoring Program (DJFMP) has monitored juvenile Chinook Salmon Oncorhynchus tshawytscha and other fish species within the San Francisco Estuary (Estuary) since 1976 using a combination of surface trawls and beach seines. Since 2000, three trawl sites and 58 beach seine sites have been sampled weekly or biweekly within the Estuary and lower Sacramento and San Joaquin Rivers. As part of the Interagency Ecological Program (IEP) that manages the Estuary, the DJFMP has tracked the relative abundance and distribution of naturally and hatchery produced juvenile Chinook Salmon of all races as they outmigrate through the Sacramento-San Joaquin Delta for over four decades. The data that DJFMP collected has been used not only to help inform the management of Chinook Salmon, but also to monitor the status of native species of interest such as the previously listed Sacramento Splittail Pogonichthys macrolepidotus and invasive species such as Mississippi Silverside Menidia beryllina and Largemouth Bass Micropterus salmoides. For more information: https://www.fws.gov/lodi/juvenile_fish_monitoring_program/
DOI: 10.7294/16958797
title: Photo observations of flowers potentially available to and observed with Chauliognathus marginatus and Chauliognathus pensylvanicus from iNaturalist.org

description: Digital specimens collected by community members are a largely untapped source of entomological data. By mining data from photo observations uploaded to online community data repositories, researchers can utilize this wealth of information to address questions about predator-prey interactions, phenotypic variation within species, plant-pollinator interactions, and a host of other topics. We mined data from photo observations on the community science website iNaturalist to investigate patterns in host plant availability and affiliation by two species of soldier beetles, <i>Chauliognathus marginatus</i> (Fabricius, 1775) and <i>Chauliognathus pensylvanicus</i> (De Geer, 1774). This dataset contains photo observations of these two species of beetles on flowering plants throughout the eastern United States from 2000-2019. It also contains photo observations of flowering plants potentially available to these two species, or blooming across their range during their seasonal periods of activity, in 2018.
DOI: 10.17632/8yb2hsnyhf.1
title: Nepotism is Ancient but it is Lethal and Systemic

description: short article on online magazine and please follow the link of this data.
https://medium.com/@mmttheryemoney/nepotism-is-ancient-but-it-is-lethal-and-systemic-3d910dc8ae12
DOI: 10.17632/2nz6zmyznk.5
title: SUPPLEMENTARY DATA: Coal elemental (compositional) data analysis with hierarchical clustering algorithms

description: This is the raw data for article "Coal elemental (compositional) data analysis with hierarchical clustering algorithms" ,  from Adaohai and Datanhao coals, Daqingshan Coalfield, Inner Mongolia, China.
DOI: 10.17632/3c9vdxrf3n.1
title: Raw images for Mall et al., MCB 2021

description: Raw images of western blots that were used for making figures as mentioned in Mall et al., Molecular and Cellular Biology 2021
DOI: 10.17632/wvtt6m8ztn.1
title: source data

description: Interferon regulatory factor 3 (IRF3) is an essential transductor for initiation of many immune responses. Here, we show that lncRNA-ISIR directly binds IRF3 to promote its phosphorylation, dimerization, and nuclear translocation, along with enhanced target gene productions. In vivo lncRNA-ISIR deficiency results in reduced IFN production, uncontrolled viral replication, and increased mortality. The human homolog, AK131315, also binds IRF3 and promotes its activation. More important, AK131315 expression is positively correlated with type I interferon (IFN-I) level and severity in patients with lupus. Mechanistically, in resting cells, IRF3 is bound to suppressor protein Flightless-1 (Fli-1), which keeps its inactive state. Upon infection, IFN-I-induced lncRNA-ISIR binds IRF3 at DNA-binding domain in cytoplasm and removes Fli-1's association from IRF3, consequently facilitating IRF3 activation. Our results demonstrate that IFN-I-inducible lncRNA-ISIR feedback strengthens IRF3 activation by removing suppressive Fli-1 in immune responses, revealing a method of lncRNA-mediated modulation of transcription factor (TF) activation.
DOI: 10.17632/j38fxrtg5b.1
title: LINF_190015500

description: tRNA pseudouridine synthase A-like protein | mt-SAF11
Leishmania infantum (strain JPCM5)
DOI: 10.17632/ryc7bgbvjj.1
title: LINF_190015300

description: 4-coumarate:coa ligase-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/ht6n9rcdk6.1
title: Database  - Article "Behavioral Economics and Auto Insurance: The Role of Biases and Heuristics"

description: Data and code for the article Behavioral Economics and Auto Insurance: The Role of Biases and Heuristics". This paper analyzes how framing, anchoring and certainty effects may affect the behavior of the consumer of auto insurance. An experiment was carried out, with the face-to-face application of six versions of a questionnaire with 14 questions, for 163 respondents from an educational institution. Questions were prepared to analyze the existence of the Framing Effect, the Anchoring Effect and the Certainty Effect, in addition to the Deductible Effect (present in several insurance products). The theoretical framework of the paper is the Behavioral Economics.
Data includes:
Original answers, collected in the experiment
Stata code used in the econometric procedure
DOI: 10.17632/hv57r7r6kw.1
title: LINF_190015100

description: 4-coumarate:CoA ligase-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/rvzbb49vp2.1
title: clusters_as_local_innovation_systems

description: Data on cluster variables generated via PCA on REGPAT patent microdata and employment manufacturing. The dataset also includes a wide range of NUTS 2 data for use as control variables in regressions linking cluster presence to regional performance.
DOI: 10.17632/5kr7mj3wd6.1
title: Anti-spike IgG decay after 6 months of vaccination in a Nursing Home

description: Dataset linked with paper "Decay rate of antiS1/S2 IgG serum levels after 6 months of BNT162b2 vaccination in a cohort of COVID-19-naive and COVID-19-experienced subjects"
DOI: 10.17632/yd5yyfwzhd.3
title: Examples Ex a, b, c, d, e, and f containing programs of 3D-RMDP + 3D-Bresenhams +RMF²-two-point Algorithms

description: See Perferct 3D-curve and 3D-Offsets Reference Pulse Interpolation Algorithms using the Relative Minimum Distance to the Olar Line (RMDPL) and its projections (v1). 3D-Bresenham IPOs and RMF²-two-point IPO for higher degree implicit polynomials. Also generation of small 3D-offset curves.
DOI: 10.17632/jjdnpr356p.1
title: Cooking and Food Provisioning Action Scale (CAFPAS) - Revalidation and Empirical Application in the Czech Republic

description: The file includes primary data collected through a quantitative survey conducted in the Czech Republic between January and April 2021. Data in the survey were collected by a professional research agency, using the IBM Data Collection system. Data were gathered with a combination of several techniques that ensured the representativeness of the sample across different population groups.  For details see the original paper associated with the data file.

The available file includes original dataset in the SPSS Statistics Data File Format Family (.sav). The SPSS Statistics File Format is a proprietary binary format, developed and maintained as the native format for the SPSS statistical software application. 

The Cooking and Food Provisioning Action Scale allows researchers to examine people´s attitudes and skills associated with cooking and food preparation. The key feature of this scale – which also sets it apart from other food and cooking measuring instruments and tools – is its emphasis on food agency . The Cook and Food Provisioning Action Scale contains 28 questions classified into three groups (Self-efficacy, Attitude and Structure). For details on the CAFPAS see: Lahne, J., Wolfson, J. A., & Trubek, A. (2017). Development of the Cooking and Food Provisioning Action Scale (CAFPAS): A new measurement tool for individual cooking practice. Food Quality and Preference, 62, 96-105.
DOI: 10.17632/zgn7zmpfvb.1
title: Conformational surveillance of Orai1 by a rhomboid intramembrane protease prevents inappropriate CRAC channel activation. Grieve et al.

description: Original data for manuscript.
DOI: 10.17632/z42hdtdmbm.1
title: Mammal Species Inventory: Mountain Zebra National Park Report 1: October 2017 to November 2019 

description: SnapshotSafari is a transnational program aiming at providing a greater knowledge about mammal populations accross southern Africa. Thanks to standardized camera traps (CTs) grid, deployed in various locations reflecting a diversity of conservation states (from protected areas to highly transformed areas), SnapshotSafari aims at describing mammal population abundances, diversities and spatial occurrences. The data provided will benefit Research, in fields as broad as Genetics, Ecology or conservation Biology, as well by providing to conservation planning a comprehensive synthesis of which species can be found in their location, with which abundance...etc.

The project is coordinated in South Africa by Nelson by Mandela University’s Wildlife Ecology Lab. The images collected by the CTs (as much as thousands per site) are sent to the United States (University of Minnesota) to be processed via a participative science plateform (Zooniverse) and machine learning (a popular IT field that allows automatized recognition of elements in an image, for instance antelopes in a landscape photo).
DOI: 10.17632/49jvrz6nf8.2
title: Well-being and health-risk behavior in university students

description: This is the first study of its kind in Portugal and one of the few existing ones at an international level, by investigating the mediating effect of social influence in the correlation between well-being and health-related risk behaviors among university students. By analyzing social influence through three specific agents (living with one's family after enrolling or entering Higher Education, having friends who are active consumers of legal or illicit psychoactive substances (tobacco, alcohol, illicit drugs) and having a romantic partner), I achieved a better understanding of the issue of well-being according to 5 specific dimensions and with the inclusion of 7 different risk behaviors for one's health in our analysis.
DOI: 10.17632/cbrrw7bhwh.1
title: Mammal Species Inventory – Camdeboo National Park: Report 1 - February 2019 to October 2019 

description: SnapshotSafari is a transnational program aiming at providing a greater knowledge about mammal populations accross southern Africa. Thanks to standardized camera traps (CTs) grid, deployed in various locations reflecting a diversity of conservation states (from protected areas to highly transformed areas), SnapshotSafari aims at describing mammal population abundances, diversities and spatial occurrences. The data provided will benefit Research, in fields as broad as Genetics, Ecology or conservation Biology, as well by providing to conservation planning a comprehensive synthesis of which species can be found in their location, with which abundance...etc.

The project is coordinated in South Africa by Nelson by Mandela University’s Wildlife Ecology Lab. The images collected by the CTs (as much as thousands per site) are sent to the United States (University of Minnesota) to be processed via a participative science plateform (Zooniverse) and machine learning (a popular IT field that allows automatized recognition of elements in an image, for instance antelopes in a landscape photo
DOI: 10.17632/r735ktwnwk.2
title: GPER mediated estrogenic amelioration of sodium channel dysfunction in stressed human induced pluripotent stem cell-derived cardiomyocytes

description: Supplemental material
DOI: 10.17632/ckz9mtgrjj.4
title: Genotype data for a set of 163 worldwide populations

description: Here is a combined dataset of genetic data on 2,643 individuals from 163 worldwide human populations. These genotypes were all generated on Illumina chips (550, 610, 660) for multiple different studies.  The two main papers that this dataset was compiled for are: Hellenthal, et al 2014 A Genetic Atlas of Human Admixture History, Science; and Busby, et al 2015 The role of recent admixture in forming the contemporary West Eurasian genomic landscape, Current Biology.

The data are in PLINK format and the BusbyWorldwidePopulations.csv file outlines where the different datasets come from. Note that because these two datasets were combined together, not all populations are typed on the same set of SNPs. We have included genotype data on 523,443 SNPs, of which 441,038 are genotyped on at least 97.5% of individuals.

Therefore, additional QC steps are required to filter this set down to high quality calls, depending on the subset of samples that are required. Complete information about the populations used is available in the various publications that are outlined in the associated paper.

Note that these same populations are available elsewhere and this dataset represents that compiled for the above mentioned papers.

UPDATE 11/11/2019
Thanks to some heroic work by  Kristján Helgi Swerford Moore at DECODE, I have now updated the population and sample information to more accurately and verbosely label the individuals.
DOI: 10.5281/zenodo.5659031
title: SciExpeM - 10.5281/zenodo.5659031

description: Zhang, Yingjia, 0000-0002-3856-9257; Somers, Kieran P.; Mehl, Marco; Pitz, William J.; Cracknell, Roger F.; Curran, Henry J. - Proceedings Of The Combustion Institute, 2017, (36), 413-421
DOI: 10.5281/zenodo.5659030
title: SciExpeM - 10.5281/zenodo.5659031

description: Zhang, Yingjia, 0000-0002-3856-9257; Somers, Kieran P.; Mehl, Marco; Pitz, William J.; Cracknell, Roger F.; Curran, Henry J. - Proceedings Of The Combustion Institute, 2017, (36), 413-421
DOI: 10.5281/zenodo.5659015
title: Estimating wolf density from cameras

description: DNA recapture data used to estimate wolf density in three study areas in Idaho, USA 2016-2018.
DOI: 10.5281/zenodo.5659014
title: Estimating wolf density from cameras

description: DNA recapture data used to estimate wolf density in three study areas in Idaho, USA 2016-2018.
DOI: 10.5281/zenodo.5637361
title: Investigating the relation between gravitational wave tests of general relativity

description: This data release accompanies the paper Johnson-McDaniel et al., Investigating the relation between gravitational wave tests of general relativity, arXiv:2109.06988. It provides the frame files containing the simulated observations of GR and non-GR signals (with no noise) analyzed in that paper. Specifically, these are simulated observations of binary black hole coalescences like GW150914 and GW170608. Each directory inside one of the tarballs corresponds to a given simulated observation and contains three frame files, one for each observatory (LIGO Hanford, LIGO Livingston, and Virgo). The GR cases contain simulated observations generated using the IHES EOB and IMRPhenomD models, while the non-GR cases contain the modified EOB, TIGER, FTA, and modified dispersion relation (MDR) simulated observations, as described in the paper. Specifically, the TIGER and FTA cases modify the 2PN coefficient, while the MDR cases are for a massive graviton. For the GW150914-like simulated observations, there are two selections (one large, one smaller) of the non-GR parameter for each non-GR case. The frame files in the GW150914-like (GW170808-like) cases contain 8 (16) seconds of data, starting from a GPS time of 1126259456 (1180922480). In both cases, the peak of the waveform (the "trigger time") is placed 2 seconds from the end of the data segment, so at GPS times of 1126259462 and 1180922494 for the GW150914-like and GW170608-like cases, respectively. Any publication that uses these data should cite the aforementioned paper that describes them (arXiv:2109.06988), as well as this Zenodo release, doi:10.5281/zenodo.5637361. Contents: GW150914_like_GR.tgz:<br> - GW150914_like_IHES_EOB_GR<br> - GW150914_like_IMRPhenomD_GR GW150914_like_nonGR_larger.tgz:<br> - GW150914_like_IHES_EOB_modGR_a2_400<br> - GW150914_like_IMRPhenomD_TIGER_dchi4_m13<br> - GW150914_like_IMRPhenomD_FTA_dchi4_m13<br> - GW150914_like_IMRPhenomD_MDR_alpha0_A_5em44 GW150914_like_nonGR_smaller.tgz:<br> - GW150914_like_IHES_EOB_modGR_a2_40<br> - GW150914_like_IMRPhenomD_TIGER_dchi4_m2<br> - GW150914_like_IMRPhenomD_FTA_dchi4_m2<br> - GW150914_like_IMRPhenomD_MDR_alpha0_A_1em44 GW170608_like_GR.tgz:<br> - GW170608_like_IHES_EOB_GR<br> - GW170608_like_IMRPhenomD_GR GW170608_like_nonGR.tgz:<br> - GW170608_like_IHES_EOB_modGR_a2_40<br> - GW170608_like_IMRPhenomD_TIGER_dchi4_m2<br> - GW170608_like_IMRPhenomD_FTA_dchi4_m2<br> - GW170608_like_IMRPhenomD_MDR_alpha0_A_1em43
DOI: 10.5281/zenodo.5637360
title: Investigating the relation between gravitational wave tests of general relativity

description: This data release accompanies the paper Johnson-McDaniel et al., Investigating the relation between gravitational wave tests of general relativity, arXiv:2109.06988. It provides the frame files containing the simulated observations of GR and non-GR signals (with no noise) analyzed in that paper. Specifically, these are simulated observations of binary black hole coalescences like GW150914 and GW170608. Each directory inside one of the tarballs corresponds to a given simulated observation and contains three frame files, one for each observatory (LIGO Hanford, LIGO Livingston, and Virgo). The GR cases contain simulated observations generated using the IHES EOB and IMRPhenomD models, while the non-GR cases contain the modified EOB, TIGER, FTA, and modified dispersion relation (MDR) simulated observations, as described in the paper. Specifically, the TIGER and FTA cases modify the 2PN coefficient, while the MDR cases are for a massive graviton. For the GW150914-like simulated observations, there are two selections (one large, one smaller) of the non-GR parameter for each non-GR case. The frame files in the GW150914-like (GW170808-like) cases contain 8 (16) seconds of data, starting from a GPS time of 1126259456 (1180922480). In both cases, the peak of the waveform (the "trigger time") is placed 2 seconds from the end of the data segment, so at GPS times of 1126259462 and 1180922494 for the GW150914-like and GW170608-like cases, respectively. Any publication that uses these data should cite the aforementioned paper that describes them (arXiv:2109.06988), as well as this Zenodo release, doi:10.5281/zenodo.5637361. Contents: GW150914_like_GR.tgz:<br> - GW150914_like_IHES_EOB_GR<br> - GW150914_like_IMRPhenomD_GR GW150914_like_nonGR_larger.tgz:<br> - GW150914_like_IHES_EOB_modGR_a2_400<br> - GW150914_like_IMRPhenomD_TIGER_dchi4_m13<br> - GW150914_like_IMRPhenomD_FTA_dchi4_m13<br> - GW150914_like_IMRPhenomD_MDR_alpha0_A_5em44 GW150914_like_nonGR_smaller.tgz:<br> - GW150914_like_IHES_EOB_modGR_a2_40<br> - GW150914_like_IMRPhenomD_TIGER_dchi4_m2<br> - GW150914_like_IMRPhenomD_FTA_dchi4_m2<br> - GW150914_like_IMRPhenomD_MDR_alpha0_A_1em44 GW170608_like_GR.tgz:<br> - GW170608_like_IHES_EOB_GR<br> - GW170608_like_IMRPhenomD_GR GW170608_like_nonGR.tgz:<br> - GW170608_like_IHES_EOB_modGR_a2_40<br> - GW170608_like_IMRPhenomD_TIGER_dchi4_m2<br> - GW170608_like_IMRPhenomD_FTA_dchi4_m2<br> - GW170608_like_IMRPhenomD_MDR_alpha0_A_1em43
DOI: 10.5281/zenodo.5659058
title: Anonymous Data Set

description: Data set for "Handling Environmental Uncertainty in Design Time Access Control Analysis".
DOI: 10.5281/zenodo.5651883
title: Anonymous Data Set

description: Data set for "Handling Environmental Uncertainty in Design Time Access Control Analysis".
DOI: 10.5517/ccdc.csd.cc28by9w
title: CCDC 2095888: Experimental Crystal Structure Determination

description: Related Article: Evgeniya V. Bermesheva, Ivan V. Nazarov, Ksenia D. Kataranova, Anna P. Khrychikova, Danil P. Zarezin, Elizaveta K. Melnikova, Andrey F. Asachenko, Maxim A. Topchiy, Sergey A. Rzhevskiy, Maxim V. Bermeshev|2021|Polym.Chem.|12|6355|doi:10.1039/D1PY01039E
DOI: 10.5517/ccdc.csd.cc28bybx
title: CCDC 2095889: Experimental Crystal Structure Determination

description: Related Article: Evgeniya V. Bermesheva, Ivan V. Nazarov, Ksenia D. Kataranova, Anna P. Khrychikova, Danil P. Zarezin, Elizaveta K. Melnikova, Andrey F. Asachenko, Maxim A. Topchiy, Sergey A. Rzhevskiy, Maxim V. Bermeshev|2021|Polym.Chem.|12|6355|doi:10.1039/D1PY01039E
DOI: 10.17638/datacat.liverpool.ac.uk/1506
title: Supplementary material - Dissertation: Particles dynamics at the nanoscale
DOI: 10.5281/zenodo.5659169
title: SciExpeM - 10.5281/zenodo.5659169

description: Zhang, Yingjia, 0000-0002-3856-9257; Somers, Kieran P.; Mehl, Marco; Pitz, William J.; Cracknell, Roger F.; Curran, Henry J. - Proceedings Of The Combustion Institute, 2017, (36), 413-421
DOI: 10.5281/zenodo.5659168
title: SciExpeM - 10.5281/zenodo.5659169

description: Zhang, Yingjia, 0000-0002-3856-9257; Somers, Kieran P.; Mehl, Marco; Pitz, William J.; Cracknell, Roger F.; Curran, Henry J. - Proceedings Of The Combustion Institute, 2017, (36), 413-421
DOI: 10.1184/r1/11991642
title: ORF_rawData

description: This zip files contains the raw data output for each subject. Fo each subject, there are 26 behavioral files from 26 sessions from the experiment. The session data is output into .txt files, one line per trial.
DOI: 10.1184/r1/11991642.v1
title: ORF_rawData

description: This zip files contains the raw data output for each subject. Fo each subject, there are 26 behavioral files from 26 sessions from the experiment. The session data is output into .txt files, one line per trial.
DOI: 10.1184/r1/11991636
title: YUFO_rawData

description: This zip files contains the raw data output for each subject. Fo each subject, there are 26 behavioral files from 26 sessions from the experiment. The session data is output into .txt files, one line per trial.
DOI: 10.1184/r1/11991636.v1
title: YUFO_rawData

description: This zip files contains the raw data output for each subject. Fo each subject, there are 26 behavioral files from 26 sessions from the experiment. The session data is output into .txt files, one line per trial.
DOI: 10.48577/jpl.rrk6-7453
title: CO2 flux anomaly estimates for: The carbon cycle of southeast Australia during 2019-2020: Drought, fires and subsequent recovery