cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-10.2625348/2212607
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25625/pgjzs8/wotsbj
title: FIRING_RATE.mat

description: :unav
DOI: 10.25625/pgjzs8/vb6efg
title: PERFORMANCE_hits.txt

description: :unav
DOI: 10.25625/pgjzs8/zcdc3q
title: REACTIONTIME.txt

description: :unav
DOI: 10.25625/pgjzs8/ekroyd
title: FIRING_RATE_AttOUT_laser.txt

description: :unav
DOI: 10.25582/data.2022-10.2623321/2212608
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25625/pgjzs8/ynwl8p
title: FIRING_RATE_AttIN_noLaser.txt

description: :unav
DOI: 10.25625/pgjzs8/aeud9z
title: PERFORMANCE_correctRejections.txt

description: :unav
DOI: 10.25625/pgjzs8/iykcne
title: WAVEFORM.txt

description: :unav
DOI: 10.25625/pgjzs8/pwanip
title: WAVEFORM.mat

description: :unav
DOI: 10.25582/data.2022-10.2625562/2212609
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25625/pgjzs8/tnbzv1
title: PERFORMANCE.mat

description: :unav
DOI: 10.25625/pgjzs8/xk482h
title: FIRING_TIME_VECTOR.txt

description: :unav
DOI: 10.25625/pgjzs8/l9vr3w
title: 1_readme.txt

description: :unav
DOI: 10.25582/data.2022-10.2625678/2212610
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25625/pgjzs8/nzyy9t
title: FIRING_RATE_AttIN_laser.txt

description: :unav
DOI: 10.25625/pgjzs8/zv7ly2
title: FIRING_RATE_AttOUT_noLaser.txt

description: :unav
DOI: 10.25625/pgjzs8/ffsqbk
title: REACTIONTIME.mat

description: :unav
DOI: 10.25625/pgjzs8
title: Manuscript Data for Hueer, Saxena Treue - PNAS - 2023

description: Data files for the publication Pathway-selective optogenetics reveals functional anatomy of top-down attentional modulation in macaque visual cortex, by Hueer, Saxena and Treue, PNAS, 2023
DOI: 10.25582/data.2022-10.2623535/2212611
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625520/2212612
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622931/2212613
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625394/2212614
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622649/2212615
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622656/2212616
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623326/2212617
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623339/2212618
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622914/2212619
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623363/2212620
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622696/2212621
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623089/2212622
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623346/2212623
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625617/2212624
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623550/2212625
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625610/2212626
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625712/2212627
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623254/2212628
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622692/2212629
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625613/2212630
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622781/2212631
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625385/2212632
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623336/2212633
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622657/2212634
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622663/2212635
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623253/2212636
title: Data for EMSL Project 51287 from October 2022
DOI: 10.6084/m9.figshare.24580723
title: OS1_1.fastq.gz

description: Oryza sativa (OS1) rhizosphere metagenome
DOI: 10.6084/m9.figshare.24580723.v1
title: OS1_1.fastq.gz

description: Oryza sativa (OS1) rhizosphere metagenome
DOI: 10.25582/data.2022-10.2625567/2212637
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625604/2212638
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625511/2212639
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625600/2212640
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625370/2212641
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625399/2212642
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625723/2212643
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623251/2212644
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625549/2212645
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625352/2212646
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625713/2212647
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623246/2212648
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623547/2212649
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625379/2212650
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625424/2212651
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623360/2212652
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625582/2212653
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623078/2212654
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625328/2212655
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625369/2212656
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623368/2212657
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623288/2212658
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623343/2212659
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622747/2212660
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623351/2212661
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623364/2212662
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625672/2212663
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622812/2212664
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623341/2212665
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622654/2212666
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625383/2212667
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623553/2212668
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625351/2212669
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625330/2212670
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625727/2212671
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625391/2212672
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625570/2212673
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623225/2212674
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625719/2212675
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623342/2212676
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625585/2212677
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625386/2212678
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622659/2212679
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625510/2212680
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622674/2212681
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623365/2212682
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625384/2212683
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623375/2212684
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625495/2212685
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623449/2212686
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2623085/2212687
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2625371/2212688
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622604/2212690
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624269/2212691
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622639/2212692
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622608/2212693
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624216/2212694
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624162/2212695
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624197/2212696
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622627/2212697
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622593/2212698
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622638/2212699
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624315/2212700
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624161/2212701
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622625/2212702
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622641/2212703
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624235/2212704
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624312/2212705
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622640/2212706
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624296/2212707
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622609/2212708
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624159/2212709
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622610/2212710
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624168/2212711
title: Data for EMSL Project 51287 from October 2022
DOI: 10.15151/esrf-es-1322538350
title: Advanced Photon Source, Sector 21 - The Life Sciences Collaborative Access Team (LS-CAT) - CAT Member Macromolecular Crystallography

description: The Life Sciences Collaborative Access Team (LS-CAT) provides Macromolecular Crystallography support to our CAT members from eight Universities in the USA, including Northwestern University, University of Michigan, Wayne State University, Michigan State University, University Wisconsin, Vanderbilt University, and University of Illinois at Chicago, and also to General Users. With a one-year dark period approaching for the upgrade of the Advanced Photon Source (APS-U), we are seeking beam time for our CAT Member laboratories at ESRF by way of this Block Allocation Group, consisting of a portion of our CAT Member PIs and their laboratory members, in order to keep supporting their research and future funding. LS-CAT is organizing our CAT Members into this BAG Proposal, and other proposals we will submit, in order to streamline the process for our CAT Members, and for the Staff of Lightsources to which we are applying for access to beam time.
DOI: 10.15151/esrf-es-1317773347
title: Structural Biology of macromolecules and macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX, SAXS and CryoEM to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Regional Centre for Biotechnology (RCB), on behalf of the Department of Biotechnology (DBT) enables studies that provide fundamental insight regarding different biological processes . About 50 groups are part of this BAG and the allocated beamtime will be available for over 500 young researchers. A brief description of all the research groups is provided in the global summary. The ESRF-India partnership is supported by a grant provided by the DBT. Please note that a comprehensive annual report has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable smooth allocation of beamtime and monitoring of progress to collect the required statistics.
DOI: 10.25582/data.2022-10.2622644/2212712
title: Data for EMSL Project 51287 from October 2022
DOI: 10.15151/esrf-es-1317826929
title: Development of novel small molecules to target cellular pathways

description: Small molecules represent powerful tools to dissect physiological and pathological states of signaling pathways, yet require characterization through X-ray crystallography. This proposal encompasses the investigation of new classes of small molecules that target difficult proteins and non-typical binding sites. This includes the development of supramolecular compounds or cyclic peptides to address “non-druggable" proteins. The main collaborative research fields are tackling Ras protein signaling with structure-guided ligand design, developing inhibitors of the Ras-binding protein PDEd, screening of a novel sp3-enriched fragment library or targeting genetic regulators. Cellular signaling will also be addressed through the structural analysis of deubiquitinating enzymes or regulators of the kinetochore. Finally, we plan to crystallize membrane proteins including GPCRs in order to understand their biological function, characterize their ligand specificity and develop novel regulators.
DOI: 10.25582/data.2022-10.2624242/2212713
title: Data for EMSL Project 51287 from October 2022
DOI: 10.15151/esrf-es-1346210044
title: Probing the nanoscale structure of minimal living membranes

description: We aim to establish a new class of minimal living membrane model systems to elucidate the role of lipidome complexity in membrane property and function. Thus building on previous methods developed for performing SANS/SAXS on live E. coli we propose to conduct proof-of-principle USAXS/SAXS experiments for probing the nanoscale structure and organization of cell membranes from mycoplasma. We will take advantage of the feature that mycoplasma require exogenous lipids to build and maintain their plasma membrane to experimentally tune their lipidome composition through defined lipid diets provided in the media. The membrane structure will be revealed by joint analysis of USAXS/SAXS data of full cells, empty ghosts, and vesicles prepared from lipid extract, and include also SANS data taken on the same systems. In particular, we will interrogate the systems for the effects of cholesterol and bacterial sterol analog diploterol on membrane structure
DOI: 10.15151/esrf-es-1346211335
title: Fokker-Planck speckle-based tensor tomography

description: Speckle-based X-ray imaging is an experimentally simple low-exposure imaging technique capable of extracting information regarding a sample’s microstructural organisation, namely through directional dark-field imaging. This proposal will implement and develop the first speckle-based dark-field tensor-tomography experiments, at ID19. Currently, using speckle-based approaches, directional dark-field imaging is limited to projection, therefore providing only two-dimensional information. Current tensor-tomography techniques require tomographic data to be collected about multiple axes of rotation. Due to the two-dimensional sensitivity of speckle-based imaging, data is required about only two rotation axes, making it more dose efficient. We have developed the critical underlying theoretical formalisms and believe that experimental implementation is the next significant step to develop speckle-based X-ray imaging into a user-friendly high-resolution imaging modality.
DOI: 10.15151/esrf-es-1352264747
title: ReMade Proposal Tuning the sorption properties of metal-organic framework by shapecontrolled synthesis

description: This proposals combines our expertise in metal-organic frameworks (MOFs) with multi-facility characterization to reveal the fundamental relationships between synthetic parameters and formation steps of MOFs relevant for capturing, storage and further conversion of industrial exhausts into valuable chemicals. The sorption capacity and kinetics of MOFs are strongly dependent not only on the type of framework but also on the number and type of defects, crystallite size and shape. The inter-relation between the macroscopic properties and mechanism of nucleation and growth represents one of the main grey areas, which hinders further progress in the tailored synthesis of MOFs for targeted applications. Our aim is to unravel the crystallization mechanism of Zr-based MOFs establishing the link between the temporal evolution and structure of intermediate compounds and secondary building units (SBUs) with the macroscopic properties of the final MOF.
DOI: 10.25582/data.2022-10.2624314/2212714
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622637/2212715
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624277/2212716
title: Data for EMSL Project 51287 from October 2022
DOI: 10.15151/esrf-es-1345031273
title: Effect of gas and vapor sorption on the framework structure of CALF-20

description: CALF-20 is a chemically and thermally stable metal-organic framework with good carbon dioxide sorption properties even in the presence of water, and it is being evaluated for carbon capture processes. Observations suggest that CALF-20 undergoes significant structural changes depending on the guest molecule in the pores. The aim of the experiment is to investigate the structural response of CALF-20 towards relevant adsorptives.
DOI: 10.15151/esrf-es-1345032528
title: Unravelling local atomic structure in miscible and immiscible binary alloys by EXAFS

description: We propose to use extended x-ray absorption fine-structure (EXAFS), augmented by molecular dynamics (MD) simulations, to determine nanoscale formation in Ag0.5Cu0.5 and Ag0.5Au0.5 thin alloy films (thickness ~1 µm). Samples will be synthesized by means of a novel sputtering-based method which allows us to tune the temporal profile of multicomponent deposition fluxes, and thereby atomic arrangements, with sub-monolayer resolution. Concurrently, EXAFS is the tool of choice for revealing the element-specific local atomic environment for each pair of atomic species in compositionally complex materials. The selected binary alloys are ideal model systems the study of which will provide us with unique insights into fundamental mechanisms that govern atomic self-assembly at the nanoscale. The latter is a major roadblock faced today by the materials science community towards developing strategies for creating bespoke materials.
DOI: 10.15151/esrf-es-1345034955
title: Novel superconducting hydrides of selenium

description: With the discovery of high-temperature superconductivity in bcc-H3S with the critical temperature of Tc = 203 K at 150 GPa the search for novel superconducting hydrides became the most active topic in the field of high-pressure research. The most straightforward way to reduce the synthesis pressure of bcc-H3S is to substitute sulfur with selenium.
DOI: 10.25582/data.2022-10.2622602/2212717
title: Data for EMSL Project 51287 from October 2022
DOI: 10.15151/esrf-es-1345036332
title: Unveiling the low–temperature crystalline structure of magnetite nanoparticles using model bacterial magnetosomes

description: Magnetotactic bacteria synthesize magnetosomes, which are highly crystalline, reproducible, chemically stable magnetite nanoparticles (40–45 nm). Taking advantage of these model nanoparticles, we aim to unveil the temperature–driven structural modifications undergone by magnetite at the nanoscale, a matter that has been under debate in the last decades, but still remains unclear. For this purpose, we will measure the X–ray diffraction patterns in a wide range of temperature values above, close to, and below the Verwey transition (TV ≈ 120 K), which will allow us to correlate the modifications of the crystalline structure with the changes observed in the magnetic behaviour.
DOI: 10.25582/data.2022-10.2622633/2212718
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622621/2212719
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622642/2212720
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622615/2212721
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624207/2212722
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25381/cput.24476986
title: Employee perceptions on the change of Operation Better Store to Systems Applications Software at a chain store in Cape Town

description: <b>Ethical Clearance reference number: FBMSREC056</b>The purpose of this questionnaire is to establish if there is any correlation between change in the organization and employee morale, high or low. This is an academic exercise, and no names may be mentioned. Participation is voluntary and all information used here is confidential and identities are protected. Participants may pull out from the exercise anytime they feel they are not comfortable. Participants can omit any questions they are not comfortable with.
DOI: 10.25381/cput.24476986.v1
title: Employee perceptions on the change of Operation Better Store to Systems Applications Software at a chain store in Cape Town

description: <b>Ethical Clearance reference number: FBMSREC056</b>The purpose of this questionnaire is to establish if there is any correlation between change in the organization and employee morale, high or low. This is an academic exercise, and no names may be mentioned. Participation is voluntary and all information used here is confidential and identities are protected. Participants may pull out from the exercise anytime they feel they are not comfortable. Participants can omit any questions they are not comfortable with.
DOI: 10.25582/data.2022-10.2624297/2212723
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622628/2212724
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624155/2212725
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624234/2212726
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624154/2212727
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624166/2212728
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2624158/2212729
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622618/2212730
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2622624/2212731
title: Data for EMSL Project 51287 from October 2022