cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2td9n93h
title: Thermal State of Permafrost in North America - continuously observed ground temperatures, 2021-2022

description: This work coordinates data collection using standard equipment and protocols at North American and Russian sites. These data sets provide the baseline to assess the future rates of change in near-surface permafrost temperatures and permafrost boundaries, and to provide spatial data for validation of climate scenario models and temperature reanalysis approaches. The work represents the United States (US) contribution to the ongoing activities of the Global Terrestrial Network for Permafrost that obtains temperatures in a large number of globally distributed monitoring sites in order to provide a snapshot of permafrost temperatures in both time and space. The US National Science Foundation (NSF) funded this work with award #0520578, #0632400, #0856864, and #1304271.
DOI: 10.25346/s6/zvwzlz
title: University of Texas at Austin Certstime SAP Certifications

description: The SAP certification exam stands as a significant milestone for individuals seeking expertise in SAP technologies. Designed to validate one's knowledge and proficiency in specific I'm creating a link to SAP Certification modules, this exam serves as a testament to an individual's competence in utilizing Certstime SAP software effectively. The Certstime SAP Certification process involves comprehensive preparation, including studying relevant materials, in three from PDF, Web_based, Practice Test, and gaining hands-on experience. Success in the SAP certification exam opens up numerous career opportunities in various industries and organizations that rely on SAP systems. It demonstrates an individual's commitment to professional growth and distinguishes them as a skilled SAP professional. With the constantly evolving technology landscape, obtaining an SAP certification showcases a dedication to staying updated with the latest advancements in the field, making it a valuable credential for aspiring SAP practitioners. Visit Site For Info: https://www.certstime.com
DOI: 10.5281/zenodo.8084261
title: Validation of references provided by ChatGPT

description: Validation of references provided by ChatGPT for the generation of communication strategies for the long-term involvement of participants in Citizen Science projects.<br> <br> Article: <strong>Unlocking long-term engagement with citizen science: communication strategies driven by complex thinking under an AI-assisted approach.</strong>
DOI: 10.5281/zenodo.8084260
title: Validation of references provided by ChatGPT

description: Validation of references provided by ChatGPT for the generation of communication strategies for the long-term involvement of participants in Citizen Science projects.<br> <br> Article: <strong>Unlocking long-term engagement with citizen science: communication strategies driven by complex thinking under an AI-assisted approach.</strong>
DOI: 10.35092/yhjc.12478733
title: Sequences and draft annotations of computationally predicted proteins from Balamuthia mandrillaris

description: This file contains the sequences and draft annotations of computationally predicted proteins from<i> Balamuthia mandrillaris</i>. The sequences are reconstructed from RNA sequencing of logarithmic phase trophozoites, the infective form of the amoeba. Reads were quality filtered with Trimmomatic and assembled de-novo with Trinity v2.8 (k-mer=25) and Spades v3.13 (k-mer=29 and 33) after clipping of the adaptor sequences. Further, quality-filtered reads were aligned to the published <i>B. mandrillaris</i> genome LFUI01 with STAR v2.6 and assembled with Trinity. The three assemblies thus obtained were combined with EvidentialGene v19jan01 (EviGene) with BUSCO homology scores as input for the classifier. This data set consists of the EviGene ‘main’ proteins. FASTA headers are derived from the annotations predicted with blast2go or PANNZER2 if blast2go failed.<br><br>This dataset is a byproduct of the study described in: The transcriptome of Balamuthia mandrillaris trophozoites for structure-based drug design. https://doi.org/10.1038/s41598-021-99903-8<br><br>Balamuthia mandrillaris, a pathogenic free-living amoeba (FLA), causes cutaneous skin lesions as well as the brain-eating disease: Balamuthia granulomatous amoebic encephalitis (GAE). These diseases, and diseases caused by other pathogenic FLA, Naegleria fowleri or Acanthamoeba species, are minimally studied. Chemotherapies for CNS disease caused by B. mandrillaris require vast improvement. Current therapeutics are limited to a small number of drugs that were previously discovered in the last century through in vitro testing or identified after use in the small pool of surviving reports.Using our recently published methodology to identify potentially useful therapeutics, we screened a collection of 85 compounds that have previously been reported to have antiparasitic activity. We identified 59 compounds that impacted growth at concentrations below 220 µM. Since there is no fully annotated genome or proteome, we used RNA-Seq to determine the gene products of the specific genes potentially targeted by the compounds in B. mandrillaris trophozoites. We identified the sequence of 17 of these target genes and obtained expression clones for 15 that we validated by direct sequencing.
DOI: 10.35092/yhjc.12478733.v1
title: Sequences and draft annotations of computationally predicted proteins from Balamuthia mandrillaris

description: This file contains the sequences and draft annotations of computationally predicted proteins from<i> Balamuthia mandrillaris</i>. The sequences are reconstructed from RNA sequencing of logarithmic phase trophozoites, the infective form of the amoeba. Reads were quality filtered with Trimmomatic and assembled de-novo with Trinity v2.8 (k-mer=25) and Spades v3.13 (k-mer=29 and 33) after clipping of the adaptor sequences. Further, quality-filtered reads were aligned to the published <i>B. mandrillaris</i> genome LFUI01 with STAR v2.6 and assembled with Trinity. The three assemblies thus obtained were combined with EvidentialGene v19jan01 (EviGene) with BUSCO homology scores as input for the classifier. This data set consists of the EviGene ‘main’ proteins. FASTA headers are derived from the functional descriptions and gene ontology (GO) annotations predicted with PANNZER2.<br><br>This dataset is a byproduct of the study described in: The transcriptome of Balamuthia mandrillaris trophozoites for structure-based drug design.<br><br>Balamuthia mandrillaris, a pathogenic free-living amoeba (FLA), causes cutaneous skin lesions as well as the brain-eating disease: Balamuthia granulomatous amoebic encephalitis (GAE). These diseases, and diseases caused by other pathogenic FLA, Naegleria fowleri or Acanthamoeba species, are minimally studied. Chemotherapies for CNS disease caused by B. mandrillaris require vast improvement. Current therapeutics are limited to a small number of drugs that were previously discovered in the last century through in vitro testing or identified after use in the small pool of surviving reports.Using our recently published methodology to identify potentially useful therapeutics, we screened a collection of 85 compounds that have previously been reported to have antiparasitic activity. We identified 59 compounds that impacted growth at concentrations below 220 µM. Since there is no fully annotated genome or proteome, we used RNA-Seq to determine the gene products of the specific genes potentially targeted by the compounds in B. mandrillaris trophozoites. We identified the sequence of 17 of these target genes and obtained expression clones for 15 that we validated by direct sequencing.
DOI: 10.35092/yhjc.12478733.v2
title: Sequences and draft annotations of computationally predicted proteins from Balamuthia mandrillaris

description: This file contains the sequences and draft annotations of computationally predicted proteins from<i> Balamuthia mandrillaris</i>. The sequences are reconstructed from RNA sequencing of logarithmic phase trophozoites, the infective form of the amoeba. Reads were quality filtered with Trimmomatic and assembled de-novo with Trinity v2.8 (k-mer=25) and Spades v3.13 (k-mer=29 and 33) after clipping of the adaptor sequences. Further, quality-filtered reads were aligned to the published <i>B. mandrillaris</i> genome LFUI01 with STAR v2.6 and assembled with Trinity. The three assemblies thus obtained were combined with EvidentialGene v19jan01 (EviGene) with BUSCO homology scores as input for the classifier. This data set consists of the EviGene ‘main’ proteins. FASTA headers are derived from the annotations predicted with blast2go or PANNZER2 if blast2go failed.<br><br>This dataset is a byproduct of the study described in: The transcriptome of Balamuthia mandrillaris trophozoites for structure-based drug design. https://doi.org/10.1038/s41598-021-99903-8<br><br>Balamuthia mandrillaris, a pathogenic free-living amoeba (FLA), causes cutaneous skin lesions as well as the brain-eating disease: Balamuthia granulomatous amoebic encephalitis (GAE). These diseases, and diseases caused by other pathogenic FLA, Naegleria fowleri or Acanthamoeba species, are minimally studied. Chemotherapies for CNS disease caused by B. mandrillaris require vast improvement. Current therapeutics are limited to a small number of drugs that were previously discovered in the last century through in vitro testing or identified after use in the small pool of surviving reports.Using our recently published methodology to identify potentially useful therapeutics, we screened a collection of 85 compounds that have previously been reported to have antiparasitic activity. We identified 59 compounds that impacted growth at concentrations below 220 µM. Since there is no fully annotated genome or proteome, we used RNA-Seq to determine the gene products of the specific genes potentially targeted by the compounds in B. mandrillaris trophozoites. We identified the sequence of 17 of these target genes and obtained expression clones for 15 that we validated by direct sequencing.
DOI: 10.6084/m9.figshare.21739457.v1
title: Iron deficiency aggravates DMNQ-induced cytotoxicity via redox cycling in kidney-derived cells

description: Iron, an essential element for most of living organisms, participates in many biological functions. Since iron is redox-active transition metal, it is known that excessive levels stimulate the formation of reactive oxygen species (ROS) and exacerbate cytotoxicity. An iron deficiency is the most common nutritional deficiency disorder in the world (about 30% of the population) and is more common than cases of iron overload. However, the effects of iron deficiency on ROS-induced cytotoxicity and the maintenance of intracellular redox homeostasis are not fully understood. The present study reports on an evaluation of the effects of iron deficiency on cytotoxicity induced by several ROS generators. In contrast to hydrogen peroxide and erastin, the cytotoxicity of 2,3-dimethoxy-1,4-naphthoquinone (DMNQ), a redox cycling agent that induces intracellular superoxide anion formation, was exacerbated by iron deficiency. Cytochrome b<sub>5</sub> reductase was identified as a candidate enzyme responsible for the redox cycling of DMNQ under conditions of iron depletion. Moreover, the DMNQ-induced intracellular accumulation of ROS and a decrease in NADH/NAD<sup>+</sup> ratios were enhanced by an iron deficiency. These negative changes were found to be ameliorated by overexpressing NAD(P)H:quinone oxidoreductase 1 (NQO1) in kidney-derived cells that originally showed a very low expression of NQO1. These results indicate that NQO1 plays a protective role against redox cycling quinone-mediated cytotoxicity under iron-depleted conditions. This is because NQO1 generates less-toxic hydroquinones via the two-electron reduction of quinones. The collective findings reported herein demonstrate that not only an iron overload but also an iron deficiency exacerbates ROS-mediated cytotoxicity.
DOI: 10.25919/35j1-1158
title: Parkes observations for project P1185 semester 2023APRS_06

description: Ultra-long period neutron stars (ULPNSs) are an emerging class of objects that have sparked interest and curiosity in the fast transient community. Along with standard magnetars, they have been theorised to be potential progenitors of the enigmatic fast radio bursts (FRBs). The MeerTRAP project at the MeerKAT radio telescope is uncovering several magnetar and ultra-long period neutron star candidates, an example of which is PSR J0901-4046 with a period of 76s. Continued long-term monitoring of PSR J0901-4046 has shown it to be potentially transitioning into radio quiescence. The proposed observations will enable us to continue to monitor and characterise the decline in flux density. We have also discovered two new candidates MTP0027 and MTP0068 with periods of ~10 seconds and ~5 seconds respectively. Both sources exhibit magnetar-like pulse morphology and have only been detected in one epoch with MeerKAT. We propose to continue monitoring these sources to re-detect pulses and study their spectro-temporal-polarimetric properties.
DOI: 10.6084/m9.figshare.23582391
title: PSS/E Dynamics Simulation Output

description: IEEE 24-Bus System PSS/E Dynamic Simulation Results for G-1 Contingency. GENROU and GENTPJ for the synchronous machine; IEEEX1 for the excitation system; IEESGO for the turbine-governor; PSS2A for the power system stabilizer. Standard WTG and corresponding control modules are employed. Measurements for frequerncy dynamics and volatges magnitude are included. <br> Mingjian Tuo and Xingpeng Li, “Active ReLU Linearized Neural Network based Frequency-Constrained Unit Commitment in Low-Inertia Power Systems,” https://arxiv.org/abs/2211.08502. If you use this dataset in your work, please cite the paper above.
DOI: 10.25345/c5pk07c0d
title: MassIVE MSV000092273 - Simultaneous Multi-Omics Analysis by Direct Infusion Mass Spectrometry (SMAD-MS)
title: Dataset for Simultaneous Multi-Omics Analysis by Direct Infusion Mass Spectrometry (SMAD-MS)
DOI: 10.25919/4qp5-ey10
title: Parkes observations for project P1162 semester 2023APRS_03

description: Pulsar timing is a powerful tool in studying pulsar physics. Discovering more exotic pulsar systems or timing pulsars with higher precision is an essential part of pulsar astronomy. As a recently discovered millisecond pulsar, PSR J1402+13 is an interesting source for follow-up timing observations. First, its apparent spin-down rate is the highest among known millisecond pulsars. This spin-down rate, if confirmed, will place stringent constraints on the spin-up process predicted by pulsar recycling theories. Second, and more importantly, preliminary analysis shows that J1402+13 is a very promising candidate for pulsar timing arrays, with an achievable precision at the level of 6 nanoseconds for 60 minutes observation with Parkes. We have observed J1402+13 for 8 times in the past two months and propose to continue the observations in the coming semester. We apply for another 14 hours to observe the pulsar to extend the timing baseline to one year. This project will derive an ephemeris of the system, which is valuable to understand its formation and evolution history. Furthermore, the observations will allow us to evaluate the timing performance of J1402+13 and its suitability to be included in pulsar timing arrays.
DOI: 10.5281/zenodo.8010840
title: temp

description: Chains of the new-physics search. test
description: test_2
DOI: 10.5281/zenodo.8010839
title: temp

description: Chains of the new-physics search. test
description: test_2
DOI: 10.34740/kaggle/dsv/5998559
title: MAD Landscape (2023)
DOI: 10.25345/c5jw86x9d
title: MassIVE MSV000092274 - Differential expression of Nglycopeptides from low abundance serum glycoproteins in mild cognitive impairment MCI patients
title: Mild cognitive impairment MCI is an early stage of memory loss that affects cognitive abilities with the aging of individuals, such as language or visual/spatial comprehension. MCI is considered a prodromal phase of more complicated neurodegenerative diseases such as Alzheimers. Therefore, accurate diagnosis and better understanding of the disease prognosis will facilitate prevention of neurodegeneration. However, the existing diagnostic methods fail to provide precise and well-timed diagnoses, and the pathophysiology of MCI is not fully understood. Alterations of the low abundant serum N-glycoproteome expression could represent an essential contributor to the overall pathophysiology of neurodegenerative diseases and be used as a potential marker to assess MCI diagnosis using less invasive procedures. In this approach, we identified N-glycopeptides with different expressions between healthy and MCI patients from serum low abundant glycoproteins. Seven of the Nglycopeptides showed outstanding AUC values, among them the antithrombin-III Asn224_4502 with an AUC value of 1.00 and a corrected p value of 0.0004. According to proteomics and ingenuity pathway analysis (IPA), our data is in line with recent publications, and the glycoproteins carrying the identified Nsites play an important role in neurodegeneration.
DOI: 10.26186/147993
title: minpot-toolkit

description: The mineral potential toolkit (aka minpot-toolkit) provides tools to facilitate mineral potential analysis, from spatial associations to feature engineering and fully integrated mineral potential mapping.
DOI: 10.5517/ccdc.csd.cc136c8y
title: CCDC 1019009: Experimental Crystal Structure Determination

description: Related Article: Stutee Mohapatra, Sourav Gayen, Ranjit Bag, Arpita Das, Rongala Ramalakshmi, Marie Cordier, Sundargopal Ghosh|2022|Organometallics|41|1077|doi:10.1021/acs.organomet.2c00363
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.
DOI: 10.5281/zenodo.8084355
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jurij Dolinar, http://www.wikidata.org/entity/Q12793122. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q12793122
DOI: 10.5281/zenodo.8084354
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jurij Dolinar, http://www.wikidata.org/entity/Q12793122. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q12793122
DOI: 10.5281/zenodo.8084360
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gerhard Krefft, http://www.wikidata.org/entity/Q96464075. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q96464075
DOI: 10.5281/zenodo.8084359
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gerhard Krefft, http://www.wikidata.org/entity/Q96464075. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q96464075
DOI: 10.5281/zenodo.8084362
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gerta von Ubisch, http://www.wikidata.org/entity/Q1389001. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1389001
DOI: 10.5281/zenodo.8084361
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gerta von Ubisch, http://www.wikidata.org/entity/Q1389001. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1389001
DOI: 10.5281/zenodo.8084367
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carl Sofus Lumholtz, http://www.wikidata.org/entity/Q1040662. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1040662
DOI: 10.5281/zenodo.8084366
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carl Sofus Lumholtz, http://www.wikidata.org/entity/Q1040662. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1040662
DOI: 10.25919/5rzt-1b36
title: Parkes observations for project P456 semester 2023APRS_05

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. We are now in an exciting regime where a signal detected in our (and other data sets) has the form expected for a gravitational wave background. We are therefore now attempting to confirm, or deny, this exciting result. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.26186/147731
title: Geochemical Quality Assurance and Control Python Code

description: Quality assurance and quality control (QAQC) of geochemical data is an important first step before any interpretation of the data is undertaken. Due to the increasing number of elements that are being reported by laboratories undertaking multi-element analysis, the time to undertake QAQC of the data has increased. In order to alleviate the increasing time constraints of undertaking QAQC this python script was developed. This script provides a quick first pass of the data automatically to produce summary statistics and plots of the included standards laboratory duplicates and analytical duplicates. The statistics and plots allow for rapid assessment of geochemical data to discover potential issues with the data and trends though time, whilst also providing a consistent approach. It should be noted that no general quality cut-offs have been included within the script as it does not replace the need for an expert examining the data to identify potential issues.