cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17909/t9-r08f-dq31
title: Physics at High Angular resolution in Nearby GalaxieS - HST ("PHANGS-HST")

description: The PHANGS program is building a panchromatic dataset to enable the multi-phase, multi-scale study of star formation across nearby spiral galaxies.  PHANGS combines Atacama Large Millimeter/submillimeter Array (ALMA) CO(2-1) mapping, Very Large Telescope/Multi Unit Spectroscopic Explorer (VLT/MUSE) optical spectroscopy, Hubble Space Telescope (HST) UV-optical imaging, and James Webb Space Telescope (JWST) infrared imaging among other supporting datasets.   PHANGS is using these data to study the star formation cycle and various phases of the interstellar medium.

The PHANGS-HST Treasury survey obtained five band NUV-U-B-V-I imaging of the disks of 38 spiral galaxies (plus 1 companion dwarf galaxy) at distances of 4-23 Mpc, and parallel V and I band imaging of their halos.  Here the team provides image products for the primary observations, as well as convolutional neural network models for image classification of star clusters and compact stellar associations.
DOI: 10.5439/1227964
title: aosccn100.a1

description: Harmonized CCN100 data
DOI: 10.5439/2310436
title: Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory

description: Cloud liquid water path, albedo, and cloud fraction susceptibilities for marine warm boundary-layer clouds are quantified using the Meteosat retrieved cloud microphysical properties at the ARM Eastern North Atlantic (ENA) observatory in the Azores. The Meteosat cloud retrievals are based on the methods applied by the Clouds and the Earth’s Radiant Energy System (CERES) project, which are specifically tailored to support the ARM user facility over the ARM ground-based observation sites (enavisstpx2dm11minnisX1.c1). Cloud susceptibility is quantified as the slope between cloud properties and Nd within a 1-degree-by-1-degree grid box at each satellite time step using a least-square regression. To reduce uncertainties associated with the adiabatic assumption in the Nd retrieval, for each cloud object, we exclude cloudy pixels at the cloud edge, defined as those adjacent to cloud-free pixels. To minimize influence of cloud heterogeneity and co-variability on the retrieved cloud susceptibility, cloud properties are averaged to 0.25-degree resolution using the 3-km pixel-level retrieval, and the 1-degree cloud susceptibilities are estimated using the smoothed data. Cloud type classification is applied to distinct cloud object, labeling all contiguous cloudy pixels. Marine warm boundary-layer clouds are defined as clouds with 90% of cloud tops below 3km, and Meteosat retrieved cloud phase as liquid.
DOI: 10.5439/2483884
title: Radar and lidar based cloud type product at the ARM ENA observatory

description: Following methods outlined in Remillard et al. (2012), we classify seven cloud types using radar reflectivity, best-estimated cloud base, and cloud-layer product from the Active Remotely Sensed Cloud Locations (ARSCL) product (Kollias et al. 2007). A cloud mask is created based on the detectable radar reflectivity (&gt;-40 dBZ) combined with the best-estimated cloud base height. Each cloud object is analyzed individually as contiguous cloudy pixels, and its type is determined based on the cloud’s boundaries and duration.  Focusing on marine boundary-layer clouds, low clouds are further classified into four types: shallow cumulus, broken stratocumulus (Sc) or cumulus clouds, single-layer Sc, and multi-layer Sc or Sc coupled with cumulus. The remaining three categories are middle clouds, high clouds, and deep convective clouds. For detailed definition of each cloud type, please refer to Zheng et al. (2024).
DOI: 10.6084/m9.figshare.24739365
title: Raw Uncropped Western Blots

description: Western blot data
DOI: 10.6084/m9.figshare.28014464.v4
title: Data Set

description: Entrepreneurship education, sustainable entrepreneurship intention
DOI: 10.6103/share.w5.700
title: Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 5
DOI: 10.21227/r7v2-x988
title: The Bot-IoT dataset

description: The proliferation of IoT systems, has seen them targeted by malicious third parties. To address this challenge, realistic protection and investigation countermeasures, such as network intrusion detection and network forensic systems, need to be effectively developed. For this purpose, a well-structured and representative dataset is paramount for training and validating the credibility of the systems. Although there are several network datasets, in most cases, not much information is given about the Botnet scenarios that were used. This paper proposes a new dataset, so-called Bot-IoT, which incorporates legitimate and simulated IoT network traffic, along with various types of attacks. We also present a realistic testbed environment for addressing the existing dataset drawbacks of capturing complete network information, accurate labeling, as well as recent and complex attack diversity. Finally, we evaluate the reliability of the BoT-IoT dataset using different statistical and machine learning methods for forensics purposes compared with the benchmark datasets. This work provides the baseline for allowing botnet identification across IoT-specific networks.
DOI: 10.15468/dl.vywuav
title: Occurrence Download

description: A dataset containing 55484 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Collections paléontologiques de l'Université Rennes 1"
 ]
}

 The dataset includes 55484 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001599-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt9dup
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhabderemia toxigera Topsent, 1892"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001602-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86gnzw
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphyraena obtusata Cuvier, 1829",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 122 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001605-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewcr94
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippoglossoides dubius Schmidt, 1904",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 257 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001608-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14864142
title: Monoculture-experiment evidence that plant species identity regulates soil biota attributes and soil functions
DOI: 10.5281/zenodo.14864143
title: Monoculture-experiment evidence that plant species identity regulates soil biota attributes and soil functions
DOI: 10.15468/dl.xfzwyz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhabderemia guernei Topsent, 1890"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001609-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zdms5
title: Occurrence Download

description: A dataset listing the 784 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Arealrepresentativ naturovervåkning (ANO)"
 ]
}

 The dataset's 784 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001604-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gvm3c
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chimonobambusa neopurpurea T.P.Yi"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001611-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scrdhw
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynoglossus joyneri Günther, 1878",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 208 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001610-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dn7dcr
title: Occurrence Download

description: A dataset containing 514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.39309 43.30374,5.39422 43.30342,5.39501 43.30368,5.39569 43.30375,5.39674 43.30348,5.39721 43.30436,5.39789 43.30568,5.39852 43.30653,5.39824 43.30781,5.39745 43.30786,5.39626 43.30611,5.39475 43.30663,5.39353 43.30598,5.39309 43.30374))",
 "Year 2000-2023"
 ]
}

 The dataset includes 514 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001612-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98hjrf
title: Occurrence Download

description: A dataset containing 620 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lempholemma chalazanum (Ach.) B.de Lesd."
 ]
}

 The dataset includes 620 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001613-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24534215
title: Artificial intelligence based de-novo design for novel <i>Plasmodium falciparum</i> plasmepsin (PM) X inhibitors

description: <i>Plasmodium falciparum</i> is the leading cause of malaria with 627,000 deaths annually. Invasion and egress are critical stages for successful infection of the host yet depend on proteins that are extensively pre-processed by various maturases. Plasmepsins (Plasmodium pepsins, abbreviated PM, I-X) are pepsin-like aspartic proteases that are involved in almost all stages of the life cycle. The goal of this study was to use de-novo generative modeling techniques to create novel potential PfPMX inhibitors. A total of 4325 compounds were virtually screened by structural-based docking methods. The obtained hits were utilized to refine a structure-based Ligand Neural Network (L-Net) generative model to generate related compounds. The obtained optimal L-Net Compounds with smina scores ≤ −5.00KCalmol-1 and QED ≥ 0.35 were further taken for amplification utilizing Ligand Based Transformer modeling using Deep generative learning (Drug Explorer/DrugEx). The resulting hits were then subjected to XP Glide conventional Molecular docking and QikProp ADMET screening; molecules with XP Docking score ≤ −7.00KCalmol-1 were retained. Based on their Glide ligand efficiency, originality, and uniqueness, 30 compounds were chosen for binding affinity and MM_GBSA energy determination. Following Induced Fit docking (IFD), 7 compounds were taken for 50 ns MD simulations and FEP/MD calculations. This study reported novel potential PfPMX inhibitors with acceptable ADMET profiles and reasonable synthetic accessibility scores, as well as sufficient docking scores against other PMs were generated. The PfPMX inhibitors reported in this article are promising antimalarials for the next stages of drug development, and the first of their kind to be investigated thoroughly.
DOI: 10.6084/m9.figshare.24534215.v1
title: Artificial intelligence based de-novo design for novel <i>Plasmodium falciparum</i> plasmepsin (PM) X inhibitors

description: <i>Plasmodium falciparum</i> is the leading cause of malaria with 627,000 deaths annually. Invasion and egress are critical stages for successful infection of the host yet depend on proteins that are extensively pre-processed by various maturases. Plasmepsins (Plasmodium pepsins, abbreviated PM, I-X) are pepsin-like aspartic proteases that are involved in almost all stages of the life cycle. The goal of this study was to use de-novo generative modeling techniques to create novel potential PfPMX inhibitors. A total of 4325 compounds were virtually screened by structural-based docking methods. The obtained hits were utilized to refine a structure-based Ligand Neural Network (L-Net) generative model to generate related compounds. The obtained optimal L-Net Compounds with smina scores ≤ −5.00KCalmol-1 and QED ≥ 0.35 were further taken for amplification utilizing Ligand Based Transformer modeling using Deep generative learning (Drug Explorer/DrugEx). The resulting hits were then subjected to XP Glide conventional Molecular docking and QikProp ADMET screening; molecules with XP Docking score ≤ −7.00KCalmol-1 were retained. Based on their Glide ligand efficiency, originality, and uniqueness, 30 compounds were chosen for binding affinity and MM_GBSA energy determination. Following Induced Fit docking (IFD), 7 compounds were taken for 50 ns MD simulations and FEP/MD calculations. This study reported novel potential PfPMX inhibitors with acceptable ADMET profiles and reasonable synthetic accessibility scores, as well as sufficient docking scores against other PMs were generated. The PfPMX inhibitors reported in this article are promising antimalarials for the next stages of drug development, and the first of their kind to be investigated thoroughly.
DOI: 10.6084/m9.figshare.24543724
title: Epitopes mapping for identification of potential cross-reactive peptide against leptospirosis

description: <i>Leptospira</i>, the pathogenic helical spirochetes that cause leptospirosis, is an emerging zoonotic disease with effective dissemination tactics in the host and can infect humans and animals with moderate or severe illnesses. Thus, peptide-based vaccines may be the most effective strategy to manage the immune response against <i>Leptospira</i> to close these gaps. In the current investigation, highly immunogenic proteins from the proteome of <i>Leptospira interorgan</i> serogroup Icterohaemorrhagie serovar Lai strain 56601 were identified using immunoinformatic methods. It was discovered that the conserved and most immunogenic outer membrane Lepin protein was both antigenic and non-allergenic by testing 15 linear B-cells and the ten best T-cell (Helper-lymphocyte (HTL) with the most significant number of HLA-DR binding alleles and the eight cytotoxic T lymphocyte (CTL)) epitopes. Furthermore, a 3D structural model of CTL epitopes was created using the Pep-Fold3 platform. Using the Autodock 4.2 docking server, research was conducted to determine how well the top-ranked CTL peptide models attach to HLA-A*0201 (PDB ID: 4U6Y). With HLA-A*0201, the epitope SSGTGNLHV binds with a binding energy of −1.29 kcal/mol. Utilizing molecular dynamics modeling, the projected epitope-allele docked complex structure was optimized, and the stability of the complex system was assessed. Therefore, this epitope can trigger an immunological response and produce effective <i>Leptospira</i> vaccine candidates. Overall, this study offers a unique vaccination candidate and may encourage additional research into leptospirosis vaccines.
DOI: 10.6084/m9.figshare.24543724.v1
title: Epitopes mapping for identification of potential cross-reactive peptide against leptospirosis

description: <i>Leptospira</i>, the pathogenic helical spirochetes that cause leptospirosis, is an emerging zoonotic disease with effective dissemination tactics in the host and can infect humans and animals with moderate or severe illnesses. Thus, peptide-based vaccines may be the most effective strategy to manage the immune response against <i>Leptospira</i> to close these gaps. In the current investigation, highly immunogenic proteins from the proteome of <i>Leptospira interorgan</i> serogroup Icterohaemorrhagie serovar Lai strain 56601 were identified using immunoinformatic methods. It was discovered that the conserved and most immunogenic outer membrane Lepin protein was both antigenic and non-allergenic by testing 15 linear B-cells and the ten best T-cell (Helper-lymphocyte (HTL) with the most significant number of HLA-DR binding alleles and the eight cytotoxic T lymphocyte (CTL)) epitopes. Furthermore, a 3D structural model of CTL epitopes was created using the Pep-Fold3 platform. Using the Autodock 4.2 docking server, research was conducted to determine how well the top-ranked CTL peptide models attach to HLA-A*0201 (PDB ID: 4U6Y). With HLA-A*0201, the epitope SSGTGNLHV binds with a binding energy of −1.29 kcal/mol. Utilizing molecular dynamics modeling, the projected epitope-allele docked complex structure was optimized, and the stability of the complex system was assessed. Therefore, this epitope can trigger an immunological response and produce effective <i>Leptospira</i> vaccine candidates. Overall, this study offers a unique vaccination candidate and may encourage additional research into leptospirosis vaccines.
DOI: 10.15468/dl.9dhaxv
title: Occurrence Download

description: A dataset containing 13187 records in GBIF matching the query:

SELECT
 "year",
 countryCode,
 COUNT(DISTINCT speciesKey) AS species_count,
 SUM(COUNT(DISTINCT speciesKey)) OVER (ORDER BY "year") AS cumulative_species_count
FROM occurrence
WHERE "year" &gt; 1970 AND "year" &lt; 2024
GROUP BY
 "year",
 countryCode
ORDER BY
 "year",
 countryCode;


 The dataset's 13187 records were derived from 61824 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001598-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pehs6i
title: Occurrence Download

description: A dataset containing 3533 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thunbergia alata Bojer ex Sims"
 ]
}

 The dataset includes 3533 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003315-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bhq4d
title: Occurrence Download

description: A dataset containing 1285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Koeberliniaceae"
 ]
}

 The dataset includes 1285 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054058-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywmdwt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "ScientificName" : [
 "is Acer platanoides"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049974-231002084531237/datasets/export for details.
DOI: 10.15468/dl.ne1ftr
title: Occurrence Download

description: A dataset containing 2769 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera leo (Linnaeus, 1758)"
 ]
}

 The dataset includes 2769 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003316-150221044754056/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtfkqa
title: Occurrence Download

description: A dataset containing 2070 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coryphoblennius galerita (Linnaeus, 1758)"
 ]
}

 The dataset includes 2070 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049992-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7zwcx
title: Occurrence Download

description: A dataset containing 1783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2010",
 "Month is greater than or equal to January",
 "Country is Australia",
 "TaxonKey is Ciconiiformes"
 ]
}

 The dataset includes 1783 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003316-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mw6yr
title: Occurrence Download

description: A dataset containing 3208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cottunculus microps Collett, 1875"
 ]
}

 The dataset includes 3208 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049994-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.o6mhoc
title: Occurrence Download

description: A dataset containing 22783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Country is Uganda"
 ]
}

 The dataset includes 22783 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003316-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6vuv5
title: Occurrence Download

description: A dataset containing 107012 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Digitaria sanguinalis (L.) Scop."
 ]
}

 The dataset includes 107012 records from 1090 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053057-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kgd2j
title: CCDC 2367317: Experimental Crystal Structure Determination

description: Related Article: Robert Barrow, Peter Mack, Stephen Schneider, Jon Schroeder, Gerald S. Jones|2023|U.S.Patents|||
description: Related Article: Robert Barrow, Peter Mack, Stephen Schneider, Jon Schroeder, Gerald S. Jones|2023|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.