cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2693h4
title: CCDC 2034545: Experimental Crystal Structure Determination

description: Related Article: Paulami Manna, Saurav Bhattacharya, Ulrich Kortz|2021|Inorg.Chem.|60|7161|doi:10.1021/acs.inorgchem.1c00245
DOI: 10.5517/ccdc.csd.cc2693j5
title: CCDC 2034546: Experimental Crystal Structure Determination

description: Related Article: Paulami Manna, Saurav Bhattacharya, Ulrich Kortz|2021|Inorg.Chem.|60|7161|doi:10.1021/acs.inorgchem.1c00245
DOI: 10.5517/ccdc.csd.cc27dkw3
title: CCDC 2067665: Experimental Crystal Structure Determination

description: Related Article: Fei Zeng, Juan Liao, Man-Hua Ding, Guang-Chuan Ou|2021|Dyes Pigm.|192|109430|doi:10.1016/j.dyepig.2021.109430
DOI: 10.5517/ccdc.csd.cc27ky92
title: CCDC 2072824: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.5517/ccdc.csd.cc27kyb3
title: CCDC 2072825: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.5517/ccdc.csd.cc27kyc4
title: CCDC 2072826: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.5517/ccdc.csd.cc27kyd5
title: CCDC 2072827: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.5517/ccdc.csd.cc27kyf6
title: CCDC 2072828: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.5517/ccdc.csd.cc27kyg7
title: CCDC 2072829: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.5517/ccdc.csd.cc27kyh8
title: CCDC 2072830: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.5517/ccdc.csd.cc27kyj9
title: CCDC 2072831: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.5517/ccdc.csd.cc27kykb
title: CCDC 2072832: Experimental Crystal Structure Determination

description: Related Article: Pamela V. S. Nylund, Nathalie C. Ségaud, Martin Albrecht|2021|Organometallics|40|1538|doi:10.1021/acs.organomet.1c00200
DOI: 10.6084/m9.figshare.14701110
title: ricci_boltztrap_mp_tabular

description: <pre>Ab-initio electronic transport database for inorganic materials. Complex multivariable BoltzTraP simulation data is condensed down into tabular form of two main motifs: average eigenvalues at set moderate carrier concentrations and temperatures, and optimal values among all carrier concentrations and temperatures within certain ranges. Here are reported the average of the eigenvalues of conductivity effective mass (mₑᶜᵒⁿᵈ), the Seebeck coefficient (S), the conductivity (σ), the electronic thermal conductivity (κₑ), and the Power Factor (PF) at a doping level of 10¹⁸ cm⁻³ and at a temperature of 300 K for n- and p-type. Also, the maximum values for S, σ, PF, and the minimum value for κₑ chosen among the temperatures [100, 1300] K, the doping levels [10¹⁶, 10²¹] cm⁻³, and doping types are reported. The properties that depend on the relaxation time are reported divided by the constant value 10⁻¹⁴. The average of the eigenvalues for all the properties at all the temperatures, doping levels, and doping types are reported in the tables for each entry. Data is indexed by materials project id (mpid)"</pre>
DOI: 10.3886/e117506v2-87620
title: Data and Code for: Connecting the Countryside via E-Commerce

description: This project folder provides supplementary materials for the paper "Connecting the Countryside via E-Commerce".
description: Smallest Geographic Unit: Village
DOI: 10.5517/ccdc.csd.cc20h00k
title: CCDC 1861457: Experimental Crystal Structure Determination

description: Related Article: Muhammad Danish, Muhammad Asam Raza, Hurria Rani, Arusa Akhtar, Muhammad Nadeem Arshad, Abdullah M. Asiri|2021|J.Mol.Struct.|1241|130608|doi:10.1016/j.molstruc.2021.130608
DOI: 10.6084/m9.figshare.14701143
title: expt_formation_enthalpy_kingsbury

description: <pre>Dataset containing experimental standard formation enthalpies for solids. Formation enthalpies were compiled primarily from Kim et al., Kubaschewski, and the NIST JANAF tables (see references). Elements, liquids, and gases were excluded. Data were deduplicated such that each material is associated with a single formation enthalpy value. Refer to Wang et al. (see references) for a complete desciption of the methods used. Materials Project database IDs (mp-ids) were assigned to materials from among computed materials in the Materials Project database (version 2021.03.22) that were 1) not marked 'theoretical', 2) had structures matching at least one ICSD material, and 3) were within 200 meV of the DFT-computed stable energy hull (e_above_hull &lt; 0.2 eV). Among these candidates, we chose the mp-id with the lowest e_above_hull that matched the reported spacegroup (where available).</pre>
DOI: 10.6084/m9.figshare.14701146
title: expt_gap_kingsbury

description: <pre>Identical to the matbench_expt_gap dataset, except that Materials Project database IDs (mp-ids) have been associated with each material using the same method as described for the expt_formation_enthalpy_kingsbury dataset. Columns have also been renamed for consistency with the formation enthalpy data.</pre><pre><br></pre><pre><br></pre><pre>Reference:</pre><pre>Kingsbury, R., Bartel., C., Dwaraknath, S., Gupta, A., Horton, M., Munro, J., Jain. A., Ong, S.P., Persson, K. Comparison of r$^2$SCAN and SCAN metaGGA functionals via an automated, high-throughput computational workflow. In preparation.</pre>
DOI: 10.6084/m9.figshare.14701146.v1
title: expt_gap_kingsbury

description: <pre>Identical to the matbench_expt_gap dataset, except that Materials Project database IDs (mp-ids) have been associated with each material using the same method as described for the expt_formation_enthalpy_kingsbury dataset. Columns have also been renamed for consistency with the formation enthalpy data.</pre><pre><br></pre><pre><br></pre><pre>Reference:</pre><pre>Kingsbury, R., Bartel., C., Dwaraknath, S., Gupta, A., Horton, M., Munro, J., Jain. A., Ong, S.P., Persson, K. Comparison of r$^2$SCAN and SCAN metaGGA functionals via an automated, high-throughput computational workflow. In preparation.</pre>
DOI: 10.6084/m9.figshare.14701137
title: Data for Heap et al. (JGR: Solid Earth)

description: Mechanical data accompanying Heap et al. (JGR: Solid Earth). In the file name, "uni" and "trx" stand for uniaxial and triaxial, respectively. The first number in the file name is the block number (e.g., H2A), and the second number is the sample number (e.g., 2). Finally, "d" and "w" stand for dry and wet, respectively.<br>In the uniaxial files:Temps(s) - time in secondssigV(MPa) - axial stress in MPaDefcapt - axial strain from LVDTDefax - axial strain from strain gage (not used here)Defrad - radial strain from strain gage (not used here)Defvol - volumetric strain from strain gage (not used here)<br>Deplctcapt(um) - axial displacement in microns<br>In the triaxial files:<br>Temps(s) - time in seconds<br>Pc(MPa) - confining pressure in MPaPax(MPa) - axial stress in MPaPpam(MPa) - pore fluid pressure in MPaQ(MPa) - differential stress in MPaPmoy(MPa) - effective mean stress in MPaDefaxcapt - axial strain from LVDTDefvolfluide - sample porosity changeDefvolconf - change in confining fluid volume in cm2Deplct(um) - axial displacement in microns<br>
DOI: 10.3886/e112357v1-87621
title: Replication data for: The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks

description: This paper investigates the impact of tax changes on economic activity. We use the narrative record, such as presidential speeches and Congressional reports, to identify the size, timing, and principal motivation for all major postwar tax policy actions. This analysis allows us to separate legislated changes into those taken for reasons related to prospective economic conditions and those taken for more exogenous reasons. The behavior of output following these more exogenous changes indicates that tax increases are highly contractionary. The effects are strongly significant, highly robust, and much larger than those obtained using broader measures of tax changes. (JEL E32, E62, H20, N12)
DOI: 10.6084/m9.figshare.14185160
title: Are plants in sown flower strips suitable for communities of wild bees? Pollination network approach in conservation biology

description: Raw data and supporting information accompanying the following manuscript: <br>Hadrava, J. et al. (2021). Are plants in sown flower strips suitable for communities of wild bees? Pollination network approach in conservation biology.
DOI: 10.18112/openneuro.ds003563.v1.0.2
title: Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
DOI: 10.13016/xj7p-dvlt
title: Data set for "Sulfur isotope evidence for a geochemical zonation of the Samoan mantle plume"

description: Sulfur isotope data from Samoa Basalts
description: The contents of this file are new sulfur isotope data that were collected for the manuscript "Sulfur isotope evidence for a geochemical zonation of the Samoan mantle plume" that will be published in 'Geochemistry, Geophysics, Geosystems (G_Cubed)'.
DOI: 10.14469/hpc/7783
title: Reactant, b3lyp+GD3BJ/Def2-SVPP, SCRF=THF, ΔG = -1555.661393

description: Gaussian Calculation
DOI: 10.14469/hpc/8277
title: Free energies for dimerisation reactions of X+-CC−.

description: Gaussian 16 calculations
DOI: 10.6084/m9.figshare.14701221
title: Untitled Item

description: Table S1-S14 -supplementary materials
DOI: 10.6084/m9.figshare.14701221.v1
title: Untitled Item

description: Table S1-S14 -supplementary materials
DOI: 10.14469/hpc/7780
title: Normal addition of acetylene to carbonyl group, G = -738.345029 IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/7781
title: Normal addition of acetylene to carbonyl group, G = -738.345029

description: Gaussian Calculation
DOI: 10.6084/m9.figshare.14701236.v1
title: Supporting methodolgy and results

description: Materials and methodology and additional results<br>
DOI: 10.6084/m9.figshare.14701236
title: Supporting methodolgy and results

description: Materials and methodology and additional results<br>
DOI: 10.21227/20gt-cg24
title: Text files used for Plagiarism Checker in TAES

description: Simple text file obtained from manually scraping the web for the question "What is Machine Learning?".The files contain the first paragraph/ page on the website's approach to answer the question. This data is not used for commercial purposes and is available to all.This data is used in TAES to show how it can be used for plagiarism checking. The text files (*.txt) contain plain text and need no preprocessing to use. Simply read the file and assign the data to a string object.
DOI: 10.14469/hpc/7787
title: TS1, b3lyp+GD3BJ/Def2-SVPP, SCRF=THF, ΔG = -1555.645874, ΔΔG = 9.74, ΔΔΔG = 2.39

description: Gaussian Calculation.
DOI: 10.15161/oar.it/73816
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5519/qd.z01qqg0a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (110271 records)
DOI: 10.5519/qd.4e5w49hx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (49 records)
DOI: 10.6084/m9.figshare.14528409
title: Data associated with "Continuous monitoring reveals protective effects of N-acetylcysteine amide on an isogenic microphysiological model of the neurovascular unit"

description: This repository contains the data utilized in our paper. Please cite the original article (DOI 10.1002/smll.202101785).
DOI: 10.6084/m9.figshare.14528409.v2
title: Data associated with "Continuous monitoring reveals protective effects of N-acetylcysteine amide on an isogenic microphysiological model of the neurovascular unit"

description: This repository contains the data utilized in our paper. Please cite the original article (DOI 10.1002/smll.202101785).
DOI: 10.6084/m9.figshare.14528409.v1
title: Data associated with "Continuous monitoring reveals protective effects of N-acetylcysteine amide on an isogenic microphysiological model of the neurovascular unit"

description: This repository contains the data utilized in our paper. Please cite the original article (DOI pending)
DOI: 10.6084/m9.figshare.14701275
title: Inhibition of Quinolone-and Multi-Drug-Resistant Clostridioides Difficile Strains by Multi Strain Synbiotics—An Option for Diarrhea Management in Nursing Facilities

description: Diarrhea is a common problem in nursing homes. A survey among nursing facilities in Poland was used to characterize diarrhea outbreaks, the burden caused for residents and caregivers and the employed measures. Survey results confirmed that diarrhea is a common problem in nursing homes and in most cases affects groups of residents. The related burden is high or very high for 27% of residents and 40% of caregivers. In 80% of nursing facilities pro or synbiotics are part of the measures used to manage diarrhea. Administration of these kinds of products has been suggested for the management of diarrhea, especially in cases caused by <i>Clostridioides (C.) difficile</i>. <i>C. difficile</i> is one of many potential causes for diarrhea, but is of particular concern for nursing homes because it is responsible for a large proportion of diarrhea outbreaks and is often caused by multi-drug resistant strains. In vitro inhibition of a quinolone-resistant and a multi-drug resistant <i>C. difficile</i> strain was used to evaluate the growth inhibitory effects of commonly used products containing probiotic microorganisms. Growth of both strains was best inhibited by multi-strain synbiotic preparations. These findings suggest that multi-strain synbiotics can be considered as an interventional option for diarrhea caused by <i>C. difficile</i>.
DOI: 10.6084/m9.figshare.14701275.v1
title: Inhibition of Quinolone-and Multi-Drug-Resistant Clostridioides Difficile Strains by Multi Strain Synbiotics—An Option for Diarrhea Management in Nursing Facilities

description: Diarrhea is a common problem in nursing homes. A survey among nursing facilities in Poland was used to characterize diarrhea outbreaks, the burden caused for residents and caregivers and the employed measures. Survey results confirmed that diarrhea is a common problem in nursing homes and in most cases affects groups of residents. The related burden is high or very high for 27% of residents and 40% of caregivers. In 80% of nursing facilities pro or synbiotics are part of the measures used to manage diarrhea. Administration of these kinds of products has been suggested for the management of diarrhea, especially in cases caused by <i>Clostridioides (C.) difficile</i>. <i>C. difficile</i> is one of many potential causes for diarrhea, but is of particular concern for nursing homes because it is responsible for a large proportion of diarrhea outbreaks and is often caused by multi-drug resistant strains. In vitro inhibition of a quinolone-resistant and a multi-drug resistant <i>C. difficile</i> strain was used to evaluate the growth inhibitory effects of commonly used products containing probiotic microorganisms. Growth of both strains was best inhibited by multi-strain synbiotic preparations. These findings suggest that multi-strain synbiotics can be considered as an interventional option for diarrhea caused by <i>C. difficile</i>.
DOI: 10.14469/hpc/7782
title: TS2, b3lyp+GD3BJ/Def2-SVPP, SCRF=THF, ΔG = -1555.649690 ΔΔG = 7.34

description: Gaussian Calculation
DOI: 10.25646/8561
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.34740/kaggle/dsv/2282762
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.14685483
title: Source data

description: Raw data of Figure 1-5 and computational coordinates
DOI: 10.6084/m9.figshare.14685483.v2
title: Source data

description: Raw data of Figure 1-5 and computational coordinates
DOI: 10.6084/m9.figshare.14685483.v1
title: Source data

description: Raw data of Figure 1-5 and computational coordinates
DOI: 10.6084/m9.figshare.14701422
title: Kirovsky2019.xlsx

description: Kirovsky2019.xlsx
DOI: 10.6084/m9.figshare.14701422.v1
title: Kirovsky2019.xlsx

description: Kirovsky2019.xlsx
DOI: 10.5517/ccdc.csd.cc20nzwk
title: CCDC 1867219: Experimental Crystal Structure Determination

description: Related Article: Nadini Thushara, Taniya Darshani, Sameera R. Samarakoon, Inoka C. Perera, Frank R. Fronczek, W. M. C. Sameera, Theshini Perera|2021|RSC Advances|11|17658|doi:10.1039/D1RA00842K
DOI: 10.5517/ccdc.csd.cc20nzxl
title: CCDC 1867220: Experimental Crystal Structure Determination

description: Related Article: Nadini Thushara, Taniya Darshani, Sameera R. Samarakoon, Inoka C. Perera, Frank R. Fronczek, W. M. C. Sameera, Theshini Perera|2021|RSC Advances|11|17658|doi:10.1039/D1RA00842K
DOI: 10.5517/ccdc.csd.cc20nzym
title: CCDC 1867221: Experimental Crystal Structure Determination

description: Related Article: Nadini Thushara, Taniya Darshani, Sameera R. Samarakoon, Inoka C. Perera, Frank R. Fronczek, W. M. C. Sameera, Theshini Perera|2021|RSC Advances|11|17658|doi:10.1039/D1RA00842K
DOI: 10.5517/ccdc.csd.cc20nzzn
title: CCDC 1867222: Experimental Crystal Structure Determination

description: Related Article: Nadini Thushara, Taniya Darshani, Sameera R. Samarakoon, Inoka C. Perera, Frank R. Fronczek, W. M. C. Sameera, Theshini Perera|2021|RSC Advances|11|17658|doi:10.1039/D1RA00842K
DOI: 10.5517/ccdc.csd.cc26sjdy
title: CCDC 2049360: Experimental Crystal Structure Determination

description: Related Article: Dominique R. Wozniak, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2021|RSC Advances|11|17710|doi:10.1039/D1RA00953B
DOI: 10.5517/ccdc.csd.cc272ftl
title: CCDC 2057929: Experimental Crystal Structure Determination

description: Related Article: Mingfang Yang, Shi-Qiang Wang, Zhaoyi Liu, Yao Chen, Michael J. Zaworotko, Peng Cheng, Jian-Gong Ma, Zhenjie Zhang|2021|J.Am.Chem.Soc.|143|7732|doi:10.1021/jacs.1c01831
DOI: 10.34740/kaggle/dsv/2282964
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.14701467
title: Processed data

description: Preprocessed data
DOI: 10.6084/m9.figshare.14701467.v1
title: Processed data

description: Preprocessed data
DOI: 10.6084/m9.figshare.14701461.v1
title: Raw Data Perception

description: Raw, not preprocessed data for the percpetion condition
DOI: 10.6084/m9.figshare.14701461
title: Raw Data Perception

description: Raw, not preprocessed data for the percpetion condition
DOI: 10.6084/m9.figshare.14701455
title: Raw Data Memory

description: Raw data from the memory condition
DOI: 10.6084/m9.figshare.14701455.v1
title: Raw Data Memory

description: Raw data from the memory condition
DOI: 10.34863/bg5n-4s68
title: Dataset: Charge order textures induced by non-linear couplings in a half-doped manganite

description: Raw data associated with publication.  The self-organization of strongly interacting electrons into superlattice structures underlies the properties of many quantum materials. How these electrons arrange within the superlattice dictates what symmetries are broken and what ground states are stabilized.  Here we show that cryogenic scanning transmission electron microscopy (cryo-STEM) enables direct mapping of local symmetries and order at the intra-unit-cell level in the model charge-ordered system Nd1/2Sr1/2MnO3. In addition to imaging the prototypical site-centered charge order, we discover the nanoscale coexistence of an exotic intermediate state which mixes site and bond order and breaks inversion symmetry. We further show that nonlinear coupling of distinct lattice modes controls the selection between competing ground states. The results demonstrate the importance of lattice coupling for understanding and manipulating the character of electronic self- organization and that cryo-STEM can reveal local order in strongly correlated systems at the atomic scale.  keywords: cryo-STEM, STEM, cryomicroscopy, manganite, quantum materials, PARADIM
DOI: 10.6084/m9.figshare.14701488
title: UHI

description: The UHI (urban heat island) effect is calculated in Excel. UHI= T<sub>urban </sub>- T<sub>rural</sub> (calculation)The global radiation, daily max temperature, cloud cover , daily wind speed and wind direction are from the weather station Schiphol (see also in Origial&gt;Schipholday). <br>Missing UHI data for:<br>AMSIJ: 9-3-2020, 26-4-2020 & 27-4-2020Amstelveen: 26-4-2020 & 27-4-2020Osdorp: from 02-05-2018 until 21-06-2018, 26-4-2020 & 27-4-2020Den Ilp: 26-4-2020 & 27-4-2020
DOI: 10.6084/m9.figshare.14701482
title: Clean_excel

description: Data on tempreature for the locations AMSIJ, Den Ilp, Amstelveen, Osdorp & Schiphol. Using the Data &gt; Text to Columns in Excel to get the date, month, year, time, hour, minute and temperature separately.
DOI: 10.6084/m9.figshare.14701482.v1
title: Clean_excel

description: Data on tempreature for the locations AMSIJ, Den Ilp, Amstelveen, Osdorp & Schiphol. Using the Data &gt; Text to Columns in Excel to get the date, month, year, time, hour, minute and temperature separately.
DOI: 10.6084/m9.figshare.14701479
title: Original data

description: Data for Weather Observations Website (https://wow.knmi.nl/) for the weatherstation AMSIJ, Den Ilp, Amstelveen & Osdorp. And the data for Schiphol from the KNMI (https://www.knmi.nl/nederland-nu/klimatologie/daggegevens).
DOI: 10.18419/darus-1996
title: Information about the Gyrolog data repository

description: The three pdf-files contain some information about the digitisation strategy for all objects, about the structure of the data repository, and about the inventory of the primary gyro collection in Stuttgart. For more information see the digital library based on Goobi as well as the related publications below.
DOI: 10.6084/m9.figshare.13335548.v1
title: geneMatrix

description: GENCODE gene models with 100+ annotations per gene. With readme<br>