cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.na3uyw
title: Occurrence Download

description: A dataset listing the 36 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON Z(((-80.87714 46.56537 0,-80.87711 46.56418 0,-80.87708 46.56335 0,-80.87706 46.56254 0,-80.87702 46.56134 0,-80.87533 46.56139 0,-80.87325 46.56145 0,-80.87175 46.5615 0,-80.87183 46.56139 0,-80.87046 46.56144 0,-80.87049 46.56153 0,-80.86971 46.5615 0,-80.86847 46.56192 0,-80.86751 46.56195 0,-80.86631 46.5619 0,-80.86479 46.56186 0,-80.86479 46.56214 0,-80.86523 46.5622 0,-80.86538 46.56285 0,-80.86559 46.56304 0,-80.86619 46.56271 0,-80.8665 46.56295 0,-80.8669 46.56283 0,-80.86733 46.56327 0,-80.86746 46.56318 0,-80.86777 46.56353 0,-80.86588 46.56459 0,-80.86581 46.56517 0,-80.86431 46.5652 0,-80.86336 46.56522 0,-80.86348 46.5645 0,-80.86265 46.5645 0,-80.86003 46.5645 0,-80.85944 46.5645 0,-80.85932 46.56477 0,-80.85927 46.56533 0,-80.85896 46.56562 0,-80.85834 46.56565 0,-80.85725 46.56562 0,-80.85543 46.56558 0,-80.85316 46.56551 0,-80.85239 46.56626 0,-80.85152 46.56708 0,-80.85085 46.56771 0,-80.85023 46.56828 0,-80.8493 46.56912 0,-80.84864 46.56949 0,-80.84896 46.57001 0,-80.84946 46.57079 0,-80.84973 46.57123 0,-80.85111 46.57168 0,-80.85312 46.57234 0,-80.85473 46.57215 0,-80.85738 46.57184 0,-80.85988 46.57154 0,-80.86232 46.57125 0,-80.86442 46.57101 0,-80.86647 46.57076 0,-80.86696 46.57019 0,-80.86714 46.56997 0,-80.8674 46.56954 0,-80.86952 46.56917 0,-80.8697 46.56896 0,-80.87012 46.56849 0,-80.8702 46.56811 0,-80.87027 46.56773 0,-80.87034 46.56718 0,-80.87029 46.56639 0,-80.86994 46.56581 0,-80.86934 46.56512 0,-80.8694 46.56509 0,-80.87046 46.56516 0,-80.87192 46.56525 0,-80.87272 46.56528 0,-80.87452 46.56531 0,-80.87629 46.56535 0,-80.87707 46.56537 0,-80.87714 46.56537 0)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "Year 2014-2025"
 ]
}

 The dataset's 36 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004346-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vsf74x9ctz.1
title: Analysis of Tyre Tread for Metal Tracers - ICP-MS Tyre Data

description: Tyre metadata and ICP-MS analysis data for manuscript entitled Analysis of Tyre Tread for Metal Tracers with Applications in Environmental Monitoring. 
Tyre rubber tread was digested and analysed by ICP-MS for 25 elements. 19 were reliably detected. This data includes the metadata for the tyres sampled, including manufacturer, model, speed and load ratings etc. 
These data are presented partially anonymised so that individual analysis cannot be linked to a specific tyre. 
Blank cells indicated data below the limit of detection.
All data should be interpreted ± the expanded uncertainty calculated to be 12.6%, calculated using a coverage factor of 2, which gives a level of confidence of approximately 95%.
DOI: 10.15468/dl.6k2egv
title: Occurrence Download

description: A dataset listing the 29 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON Z(((-81.02601 46.51523 0,-81.02521 46.51523 0,-81.02324 46.51551 0,-81.02224 46.51467 0,-81.01963 46.5133 0,-81.01783 46.51317 0,-81.01362 46.5138 0,-81.00557 46.51503 0,-81.00566 46.51738 0,-81.00574 46.52004 0,-81.00581 46.52218 0,-81.00297 46.52238 0,-80.99802 46.52275 0,-80.99778 46.52385 0,-80.99759 46.52469 0,-80.99748 46.52526 0,-80.99685 46.52803 0,-80.99642 46.52969 0,-80.9936 46.52925 0,-80.98983 46.52867 0,-80.98754 46.52964 0,-80.98587 46.53038 0,-80.9816 46.5322 0,-80.98051 46.53435 0,-80.97992 46.53561 0,-80.97964 46.53638 0,-80.97955 46.5372 0,-80.97951 46.53773 0,-80.97949 46.53808 0,-80.97948 46.53848 0,-80.97957 46.53893 0,-80.97969 46.53924 0,-80.97993 46.53998 0,-80.98025 46.541 0,-80.98079 46.54259 0,-80.98101 46.54346 0,-80.98107 46.54375 0,-80.98116 46.54396 0,-80.98127 46.54468 0,-80.98146 46.54608 0,-80.98156 46.54679 0,-80.98177 46.54851 0,-80.98199 46.5501 0,-80.9822 46.55158 0,-80.97927 46.5516 0,-80.97533 46.55163 0,-80.97539 46.5545 0,-80.97538 46.55697 0,-80.97542 46.55851 0,-80.9791 46.55847 0,-80.98591 46.55843 0,-80.98589 46.55614 0,-80.98582 46.55166 0,-80.98656 46.55199 0,-80.98757 46.55226 0,-80.98892 46.55237 0,-80.99017 46.55193 0,-80.99186 46.55153 0,-80.99508 46.55105 0,-81.00121 46.55108 0,-81.00253 46.55115 0,-81.00341 46.55142 0,-81.00426 46.55223 0,-81.00458 46.55263 0,-81.00464 46.5531 0,-81.00487 46.55338 0,-81.00538 46.55344 0,-81.0075 46.55362 0,-81.00938 46.55365 0,-81.00991 46.5535 0,-81.01045 46.5532 0,-81.01064 46.55056 0,-81.01242 46.54868 0,-81.01454 46.54647 0,-81.01579 46.54517 0,-81.0158 46.54271 0,-81.01579 46.53923 0,-81.0158 46.53571 0,-81.01789 46.53448 0,-81.01858 46.53405 0,-81.02102 46.53132 0,-81.02315 46.52872 0,-81.02354 46.52776 0,-81.02455 46.52617 0,-81.02535 46.52573 0,-81.02565 46.52342 0,-81.02554 46.52261 0,-81.02624 46.52038 0,-81.02679 46.51933 0,-81.02672 46.51863 0,-81.02568 46.51778 0,-81.02527 46.51679 0,-81.02611 46.51617 0,-81.02601 46.51523 0)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "Year 2014-2025"
 ]
}

 The dataset's 29 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004345-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w6y53574zp.2
title: LIP_FEF

description: Single-unit data of the paper(Cell reports) : Perisaccadic and Attentional Remapping of Receptive Fields in Lateral Intraparietal Area and Frontal Eye Fields.
DOI: 10.17632/gg5zwy34bc.1
title: eIF4F complex dynamics are important for the activation of the integrated stress response

description: In response to stress, eukaryotes activate the integrated stress response (ISR) via phosphorylation of eIF2α to promote the translation of pro-survival effector genes, such as GCN4 in yeast. Complementing the ISR is the Target of Rapamycin (TOR) pathway, which regulates eIF4E function. Here we probe translational control in the absence of eIF4E in Saccharomyces cerevisiae. Intriguingly, we find that loss of eIF4E leads to de-repression of GCN4 translation. In addition, we find that de-repression of GCN4 translation is neither accompanied by eIF2α phosphorylation nor reduction in initiator ternary complex. Our data suggest that when eIF4E levels are depleted, GCN4 translation is de-repressed via a unique mechanism that may involve faster scanning by the small ribosome subunit due to increased local concentration of eIF4A. Overall, our findings suggest that relative levels of eIF4F components are key to ribosome dynamics and may play important roles in translational control of gene expression.
DOI: 10.17632/rbvj2mryn5.1
title: FACTORES PREDICTORES DE CHOQUE SEPTICO EN PACIENTES ATENDIDOS EN UNA EMPRESA DE ATENCIÓN MÉDICA PREHOSPITALARIA. 2015-2016

description: Base de datos de estudio empírico analítico, cuantitativo, observacional: Transversal, sobre los factores predictores de choque séptico en pacientes atendidos en una empresa de atención médica prehospitalaria.
DOI: 10.17632/scdpm7vdds.1
title: Human bone extract MS raw files Part 1

description: Mass spectrometry Xcalibur Raw Files from diabetic human male bone extracts digested with trypsin and ArgC proteases
DOI: 10.17632/j2rnfk6xj8.1
title: Engineering of pH-dependent antigen binding properties for toxin-targeting IgG1 antibodies using light-chain shuffling

description: Immunoglobulin G (IgG) antibodies that bind their cognate antigen in a pH-dependent manner (acid-switched antibodies) can release their bound antigen for degradation in the acidic environment of endosomes, while the IgGs are rescued by the neonatal Fc receptor (FcRn). Thus, such IgGs can over time neutralize multiple antigens and therefore be used at lower doses than their non-pH-responsive counterparts. Here, we show that light-chain shuffling combined with phage display technology can be used to discover antibodies with increased pH-dependent antigen-binding properties, using the snake toxins, myotoxin II, and α-cobratoxin, as examples. We reveal differences in how the selected IgG1s engage their antigens and human FcRn, and how these translate into distinct cellular handling properties related to their pH-dependent antigen-binding phenotypes and Fc-engineering for improved FcRn binding. Our study showcases the complexity of engineering pH-dependent antigen-binding properties into IgG1s and demonstrates the effects on cellular antibody-antigen recycling.

A data overview can be found in "Data-organization.xlsx"

Provided here are the raw data for each of the figures, as well as protein and nucleotide sequences of:

TPL0039_05_B04

TPL0552_02_A05

TPL0197_01_C08

TPL0544_01_B01
DOI: 10.17632/pvb2x7s583.1
title: Monthly Export Duration for 6-digit HS Code

description: The dataset reports the export spells based on monthly export data from the Comtrade Database. 
The dataset is based on imports as it is widely acknowledged in the literature that countries report their import data more completely and with less error. 
The first column reports the number of months a bilateral trade relationship is either active or not active. 
The first draft only includes export duration for Chapter 1.
The second column is the status of the trade relationship, 1 if active and 0 if not active.
The third column gives the identifier for the bilateral trade relationship, in the order of exporter country, importer country and the 6 digit HS commodity code.
DOI: 10.17632/zwzvszpdj7.1
title: LDHU3_12.0510

description: Pumilio protein 4 | PUF4; Leishmania donovani (HU3 strain)
DOI: 10.15468/dl.2hxzgp
title: Occurrence Download

description: A dataset containing 255084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lyrurus tetrix (Linnaeus, 1758)",
 "Year 2005-2025"
 ]
}

 The dataset includes 255084 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004347-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zrrm9ybm94.1
title: LDHU3_12.0480

description: Glutathione S-transferase - N-terminal domain containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/7hmvzb8czj.1
title: LDHU3_12.0470

description: CCR4-NOT transcription complex subunit 2; Leishmania donovani (HU3 strain)
DOI: 10.17632/6j4dy5gsbd.1
title: Behavioral Data of Facial Coloration as a Social Signal in a Neotropical Cichlid: Testing the Facial Expression Hypothesis

description: Behavioral data of Satoh et al. 2024 for discus fish Symphysodon aequifasciatus. Detailed methods for behavioral observation is described in the article.
DOI: 10.17632/yck5xy22w2.1
title: High Contribution of Anthropogenic Combustion Sources to Atmospheric Inorganic Reactive Nitrogen in South China Evidenced by Isotopes

description: Atmospheric inorganic nitrogen concentrations and stable nitrogen isotopes in South China
DOI: 10.17632/8wdx5z9ghk.1
title: LDHU3_12.0450

description: Hypothetical protein - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/3f47zrpgf9.1
title: LDHU3_12.0580

description: UTP23; Leishmania donovani (HU3 strain)
DOI: 10.17632/rgmwv7w2bf.4
title: Data on Consumer Behavior in The Context of Sports Marketing to Football Fans in Indonesia

description: This data set provides data related to measuring consumer behavior in the context of sports marketing among football fans in the Indonesia Premier League. The survey was conducted online using a Google form with a Likert scale. Questions in the questionnaire include marketing variables represented by brand commitment (12 questions), brand trust (4 questions), brand satisfaction (8 questions), brand loyalty (3 questions), and brand attachment (4 questions). The survey was conducted in June–September 2022. A total of 258 football fans across Indonesia were selected using non-probability sampling techniques. Survey data is analyzed using structural equation modeling (SEM) using Smart PLS software to identify estimates of primary construction relationships in the data. The data can help football club managers and business operators in the field of football sports map and plan marketing strategies for organizational development and gain valuable economic benefits.
There are three attachments:
1. Analysis of Smart PLS data (this data shows the results of data analysis in the Smart-PLS output format that is exported to Microsoft Excel)
2. Questionnaire: "Sports Marketing in Indonesia: Football Fans" (This data contains the distribution of questionnaire questions to respondents in Microsoft Excel.)
3. Data in Brief: Sports Marketing in Indonesia Soccer Fans_revision This data contains the results of the questionnaire's completion by respondents. Authors replace province-based clusters to facilitate data encoding and reading and avoid multiple interpretations of domicile location in homepage data.
The research data was collected using an online survey questionnaire, using a likerts scale of 1-5 accessible through https://forms.gle/Ask9YzAnhKx6yy9. WhatsApp was used to distribute questionnaires to respondents because it is the 3rd largest WhatsApp user in the world [2] with the largest number of football fans reaching 69% [1], as well as considering the effectiveness of research coverage where the Indonesian region consists of diversity. The questions in the questionnaire use Indonesian to facilitate the understanding of respondents in filling out the questionnaire. The English questionnaire is provided as an additional file. The total sample in the study amounted to 258 respondents from various club fans who had their membership status verified by the club's fan leader chairman. Researchers designed survey instruments using research designs based on previous research [1]. Part A of the survey asks about the sociodemographic profile of respondents, including name (optional), gender, occupation, and place of residence. Meanwhile, part B contains questions to measure consumer behavior variables namely commitment, trust, satisfaction, loyalty, and attachment in the context of sports marketing. as shown in Table 1.
DOI: 10.17632/sbmxbkspyv.1
title: LDHU3_12.0570

description: BDF6 | Bromodomain factor 6; Leishmania donovani (HU3 strain)
DOI: 10.17632/9zv576fbkk.1
title: LDHU3_12.0530

description: 3'-nucleotidase/nuclease; Leishmania donovani (HU3 strain)
DOI: 10.17632/ntz6vh9h2n.1
title: Data on the Facilitation of Seed dispersal of Alien Plants During and After Road Construction

description: This dataset was extracted from 444 Environmental Impact Assessment reports published in December 2017, detailing the flora at different road sites in South Korea, before and after construction operations. It includes the locations (XY coordinates) of 41 road construction sites along with an inventory of alien plant species, detailing traits such as life cycle stage, dispersal mechanisms, and the number of sites where alien plant species occurred.
From September to October 2019, a focused study was conducted on the dispersal of Ambrosia trifida seeds, at six patches along three completed roadwork sites. The seed dispersal experiment involved counting the number of seeds in an area using the quadrat method (0.25 x 0.25 m2); these results were converted to a 1 × 1 m2 area. The data can be used to highlight the need for management strategies to prevent the spread of alien plants during and after road construction.
DOI: 10.17632/w55dvbb82f.1
title: Single cell transcriptomic and proteomic profiles of advanced melanoma patients treated with checkpoint inhibitor immunotherapy

description: The CITEseq datasets, containing RNA and ADT read counts and metadata (.csv), which were generated through a collaboration between Melanoma Institute Australia, University of Sydney and Garvan Institute of Medical Research. The datasets were comprised of tumours from metastatic melanoma patients with innate resistance, acquired resistance, and response to immunotherapy. Single cell suspension was prepared using 10x Chromium Next GEM Single Cell 3' reagent kits. Cells from two samples were pooled into single libraries. Sequencing libraries were performed using Illumina NextSeq 500 machine, and were demultiplexed using the sample-barcode assignments (.tsv).
DOI: 10.17632/bsdff8shbz.1
title: Influence of surface energy anisotropy on nucleation and crystallographic texture of polycrystalline deposits

description: This dataset provides MATLAB code which can be used to reproduce results in a namesake paper submitted to Computational Materials Science in September 2023.

The code aimed to achieve two scientific goals:
1) provide automated solver to Winterbottom construction of a particle with anisotropic interface energy on a plane to eventually construct shape factor-orientation maps
2) simulation of growing polycrystalline film using 2D Monte Carlo algorithm to demonstrate the impact of anisotropy in interface energy on the nucleation and texture evolution

The first usage of the code is aided by the files explore_shape_factor.m and explore_Monte_Carlo.m, which provide description of the standard input to the individual MATLAB functions, examples of their usage and and also visualization of the outputs. Importantly, there is a MAT file containing 42 shape factor-orientation maps for various orders of symetry (3, 4 and 6), strengths of anisotropy and different resolutions. 

It should be emphasized that the results apply specifically to the anisotropy function [1+\delta*cos(n\*theta)]. However, on this example it was qualitatively demonstrated that the nucleation with anisotropy in interface energy may significantly affect the course of texture evolution compared to the case of a) no nucleation or b) nucleation with isotropic interface energy.
DOI: 10.17632/syhz79dmzv.1
title: RESEARCH01-HL_DMT_DATA-RESULTS

description: The included data, results, and models support a research project about a decision-making tool for the determination of the distribution center (DC) location in a humanitarian logistics network. The R programming language was utilized for both the generation of the data and the calculation of the results.

It includes lists of 70,000 synthetic random undirected networks with 15 nodes per network with a density between 0.18 and 0.91 and weights between 5 and 520 kilometers. This data was used to calculate various Centrality Indices (CIs) such as Degree, Strength, Closeness, Harmonic, Betweenness, Eigenvector, Laplacian and Subgraph, and the total distribution distance as a Traveling Salesperson Problem (TSP) with the support of the Farthest Insertion Heuristic Algorithm. The list of networks is split into three parts. In the list of networks for training (pa: 50,400), validation (pb: 12,600), and testing (pc: 7,000). These datasets are available in folder (01).

From each of the three parts of the network list, we compute the CIs and TSP solutions using each node from each network as a starting point (a potential DC facility). We then label each node of each network according to the first and second lowest total distribution distance as SELECT (1, sl, or SL) or REJECT (0, ns, or RJ) a node as a DC. Then we combine the CIs and TSP solutions dataset with the decision labels, and we result in an imbalanced dataset with a minority class SELECT. These datasets are available in folder (02).

Now, with proper processing of the datasets, we can model different approaches to a Binary Classification Problem to identify the appropriate node as a DC. In folder (00), there is the best Deep Neural Network model we use in our decision-making tool after conducting analysis and numerous experiments, with part of these results presented in folders (03 and 04). In addition, in the folders (00, 05, and 06), there are Decision Tree models and results that we used to compare their quality against the DNN model.
DOI: 10.17632/bb2zjrzmgy.3
title: Transcranial stimulation over the ventromedial prefrontal cortex increases money illusion

description: In this study, we aim to explore the neural mechanisms underlying money illusion.
To do so, we conduct two transcranial direct current stimulation (tDCS) experiments and test the role of the ventromedial prefrontal cortex (vmPFC) in money illusion.
In tDCS Experiment 1, participants were asked to perform an evaluative task, adapted from Weber et al. (2009), in which they could earn income by counting points and then spend their income purchasing goods displayed in a catalog. Experiment 1 consisted of two price conditions. In the high-price condition, the income and catalog prices were 500% higher than those in the low-price condition. Therefore, the nominal value was different, but the real purchasing power of income was identical in the two conditions. We also collected the participants’ self-reported level of happiness. Money illusion was measured by the difference in the self-reported level of happiness between the high- and low-price conditions when participants made correct choices.
In tDCS Experiment 2, an incentivized task, adapted from Darriet et al. (2020), was used to measure money illusion at the individual level in the context of financial choices. The task consisted of 40 trials, varied by four characteristics of financial choices on money illusion: price changes, real and nominal values, initial values, and differences in final real values. In each trial, participants were to select one of two areas to work on for one trial, one with a higher real value and the other with a lower real value. The two areas differed in terms of wage and inflation rate. In each trial, there was a correct answer, namely, choosing the area with the higher real value. Otherwise, participants made an error and exhibited money illusion.
While the participants performed the experimental tasks, we applied anodal, cathodal, or sham stimulation over the vmPFC. 
The experiment was conducted in Shandong University. All the participants were right-handed and had no prior knowledge of the experiment. They were required to provide written informed consent before the experiment, which was approved by the Ethics Committee of Shandong University.
DOI: 10.17632/s56gr964h6.1
title: EVALUATION OF THERMAL, HEMATO-HISTOLOGICAL AND DERMATOLOGICAL BIOCOMPATIBILITY OF A LED DEVICE FOR NEONATAL PHOTOTHERAPY

description: Phototherapy is the treatment of choice for neonatal hyperbilirubinemia. Portable devices for phototherapy, such as fiber optic blankets, are efficient, produce less heat, have low energy consumption, and allow greater proximity between mothers and newborns. The objective of this study was to test the biocompatibility of a new low-cost device, consisting of a blanket with Light Emitting Diode (LED) lamps. 
Fourteen rabbits were randomized into two study groups: the treated group (TG: n = 7) received phototherapy in two 12-hour sessions, on two consecutive days, and the control group (CG: n = 7) remained in the same conditions, but with the device turned off. The LED device remained in contact with the skin, emitting mean irradiance of 19.3 (13.0-22.0) µw/cm²/nm. Skin and rectal temperatures were monitored in all animals during the experiment. Clinical alterations of the skin were evaluated, and samples of cutaneous and gonadal tissue for histological analysis were collected on the seventh day of the experiment. Blood samples for hematological and biochemical analysis were collected at three times: before starting treatment, after day 1 and after day 2.