cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xn474x8hvf.1
title: Topic Detection and Tracking (TDT)

description: Dataset for the project TDT (Project URL: https://github.com/sahandv/TDT)

This dataset contains all required to train the models for TDT project.
The dataset includes abstracts, keywords, mapped concepts, and citations for 194937 cleaned data points from the Scopus dataset, originally from over 300k data points.

FastText Model:
FastText trained model on Dimensions and Scopus data. This is used for keyword search and concept mapping.

Computer Science Ontology (CSO):
The original data can be downloaded from https://cso.kmi.open.ac.uk/downloads . The uploaded version is the parent map of the CSO, acquired using DFS. Every node has a level 2 parent (not level 1 root parent_. This is intended to give us an idea about the high-level topic abstractions for each low-level concept (node). So, each node will have a list of parents (topics).

Scopus Dataset: (AI-related articles, from the start to 2020)
- Preprocessed:
- - `keyword pre-processed for fasttext - nov14`: preprocessed scopus publication author keywords, lemmatised with "|" delimiters
-- `citations with abstracts`: citations that have documents and abstracts
-- `citations with abstracts supernodes_str_name`: same as above, with additional supernodes based on textual clusters.
-- `mapped concepts for keywords`: Concepts (level 2 from CS ontology), mapped using author keywords. Instead of keywords, this can be used.
-- `abstract_title method_b_3`: This data is omitted to avoid copyright issues. However, can be provided to fellow researchers privately if requested, for non-commercial usage. The data is preprocessed and lemmatised abstracts with Scopus IDs.
-- `data with abstract`: Containing these columns from the dataset: PY,id,eid,TI,author. Can be used to double-check the ID and PY (publication year).
- `Doc2Vec Model`: Model trained using the Scopus and Dimensions data for AI articles, and doc2vec, with 100 dimensions.
- `Node2Vec mode`: 100 dimensional node2vec model, trained using the citations. Use the Scopus id to get embeddings for each node.
- Embeddings:
-- `concepts_node2vec_50D`: 50-dimensional concept embedding for each article. (Scopus ID is not given as an index, but the order of data is the same as `abstract_title method_b_3` and can be joined.)
-- `abstracts_doc2vec_100D`: 100-dimensional abstract embedding for each article. (Scopus ID is not given as an index, but the order of data is the same as `abstract_title method_b_3` and can be joined.)
_______________________________________________________________________________________________
Please note that this dataset is only for academic and personal use, and commercial use of this dataset is prohibited.
3rd Party licence - Some materials are recompiled Scopus and Dimensions material and may be subject to their licensing.
DOI: 10.17632/8zhtc49984.1
title: A restrictor complex of ZC3H4, WDR82, and ARS2 integrates with PNUTS to control unproductive transcription

description: Uncropped blots
DOI: 10.15468/dl.axrhwg
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Coleoptera collection (EC) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "Geometry POLYGON((-61.10443 13.65822,-60.80946 13.65822,-60.80946 14.17106,-61.10443 14.17106,-61.10443 13.65822))"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004221-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wgydbcnnbw.1
title: Bleached pulp from Chilean Eucalyptus process dataset

description: The data involved in this research represent the resource demand and emissions of the forestry and pulp mills process in Chile. The hypothesis is looking for the quantification of the environmental impacts of the bleached pulp of short fibre in Chile, in order to compare the life cycle performance of the sector. The data includes the forestry activity based on research of Morales et al. (2015) and the pulp industry based on data from the National Environmental Assessment System, where the projects declare their resource consumption, mainly. Complementary information was obtained from direct sources in the industrial plant through personal communication. 
All the data were obtained and treated in the file, to change the physical basis reported to the basis needed in life cycle assessment. In this sense, 1 ha is the functional unit for the forestry stage and 1 ton of cellulose for the industrial stage. The transport between the forest and the industrial complex was included in the sheet named "Forestry Stage". The data for wood production is reported based on the demand to cultivate 1 hectare of Eucalyptus pulping wood. The data for cellulose production is reported in the "Pulp Industry" sheet and includes the chemicals and fuels consumption, calculation of fossil and biogenic emissions, airborne, wastewater, and solid waste. These data are reported on the basis of 1 tonne of bleached pulp. Using mass and energy balances the raw data were adapted to the pulp production in 2017. 
These data were input to SimaPro software and obtained the results for LCA by stage and the whole process. The most relevant results show that by far chemical processing is the most environmentally intensive and the rational use of biocides and fertilizers in forestry stage is still a challenge. Also, this study quantifies the amount of biogenic carbon release by ton of pulp finding a rate over 3 ton CO2 biogenic/ton pulp.
These results broaden the perspective of the forestry sector, given the relevance to others environmental impacts despite the benefits behind its carbon neutrality.
DOI: 10.17632/t56n4dkrmn.1
title: GRACE code and simulation results for the study "Cost reduction in low-carbon hydrogen: Effective but insufficient to mitigate carbon emissions"

description: This includes the GRACE code written in GAMS and simulated results used in the study: Wei and Glomsrød (2023). Cost reduction in low-carbon hydrogen: Effective but insufficient to mitigate carbon emissions. Discover Energy Volume 3 Issue 1. DOI: 10.1007/s43937-023-00015-3.
DOI: 10.17632/76hf4v8nw2.1
title: A restrictor complex of ZC3H4, WDR82, and ARS2 integrates with PNUTS to control unproductive transcription

description: Uncropped blots Estell et al
DOI: 10.17632/gnm9wh6txp.1
title: Biological links between psychological factors and adolescent depression: childhood trauma, rumination, and resilience

description: Background:The psychosocial factors play an important role in the development of depression in adolescents. However, whether adolescent depression induced by psychosocial factors leads to biological alterations remains unclear. Here, we used metabolomics techniques to explore the links among childhood trauma, rumination, resilience, and adolescent depression.Methods: We selected 57 adolescent depression patients and recruited 53 healthy adolescents as the normal group in the same period. We used the Childhood Trauma Questionnaire (CTQ), Hamilton Depression Scale (HAMD), Resilience Inventory (CD-RISC), and Redundant Thoughts Response Scale (RRS) to assess the adolescent group psychologically. According to the CTQ, CD-RISC, and RRS scores using 27% high and low grouping basis, 30 cases were categorized into 30 cases in the high childhood trauma group , 30 cases in the low childhood trauma group , 30 cases in the low redundancy group, 30 cases in the high redundancy group , 30 cases in the low resilience group, and 30 cases in the high resilience group. Blood specimens were collected from all adolescents and metabolic data were obtained using LC-MS. The data were statistically analyzed using SPSS.25 software, SIMCA software (version 16.0.2).Results: We found that resilience, childhood trauma, and rumination were significantly associated with the development of adolescent depression. There were significant differences in metabolites between adolescent depression and healthy individuals, between individuals with high childhood trauma and low childhood trauma, between individuals with high redundancy of thoughts and low redundancy of thoughts, and between individuals with high resilience and low resilience. The two important common metabolic differentiators between childhood trauma and depression are dehydroepiandrosterone sulfate (DHEAS), LPA(22:6) . The two important common metabolic differentiators between rumination and depression are N-Acetyl-L-aspartic acid, DHEAS. The two important common metabolic differentiators between resilience and depression are LPA(22:6), Pseudouridine.Conclusion: DHEAS and LPA(22:6) may be protective factors for the development of depression in adolescents. Rumination thinking may mediate the onset of adolescent depression by suppressing DHEAS levels. Childhood trauma and resilience may both mediate the onset of adolescent depression by modulating LPA(22:6) levels.
DOI: 10.17632/4bcp66gsnw.1
title: Exosoft validation data

description: The biomechanic data shows that the muscular and functional aspects were evaluated while performing a simulated patient handling task. The physiologic data shows that metabolic performance, user's perception and level of satisfaction, perceived effort and discomfort were assessed during a repetitive lifting task. In Biomechanics data erector spinae longissimus and iliocostalis muscle activity was reduced while lifting and lowering the mannequin with the Exosoft and the lower trapezius activity while holding and lowering it. An unintended effect of the Exosoft was limiting ankle joint dorsiflexion. In Physiologic data a reduction in metabolic cost was not observed. Quest 2.0 shows that, the Exosoft scored high in user satisfaction with Effectiveness and Comfort being regarded as the most important features an exosuit should have. The Exosoft showed potential for implementation in the healthcare industry to relieve caregivers loading of the lower back. Future work should be directed towards testing the Exosoft in a real healthcare environment, with heavier loads and in a variety of patient handling tasks.
DOI: 10.17632/cshv6rjzd9.1
title: Metcalf ISCIENCE-D-23-07458R1_N2_forward

description: Glia are the protectors of the nervous system, providing neurons with support and protection from cytotoxic insults. We previously discovered that four astrocyte-like glia can regulate organismal proteostasis and longevity in C. elegans. Expression of the UPRER transcription factor, XBP-1s, in these glia increases stress resistance, longevity, and activates the UPRER in intestinal cells via neuropeptides. Autophagy, a key regulator of metabolism and aging, has been described as a cell autonomous process. Surprisingly, we find that glial XBP-1s enhances proteostasis and longevity by cell non-autonomously reprogramming organismal lipid metabolism and activating autophagy. Glial XBP-1s regulates the activation of another transcription factor, HLH-30/TFEB, in the intestine. HLH-30 activates intestinal autophagy, increases intestinal lipid catabolism, and upregulates a robust transcriptional program. Our study reveals a novel role for glia in regulating peripheral lipid metabolism, autophagy, and organellar health through peripheral activation of HLH-30 and autophagy
DOI: 10.17632/k9r228m6jp.1
title: Metcalf ISCIENCE-D-23-07458R1_N2_reverse

description: Glia are the protectors of the nervous system, providing neurons with support and protection from cytotoxic insults. We previously discovered that four astrocyte-like glia can regulate organismal proteostasis and longevity in C. elegans. Expression of the UPRER transcription factor, XBP-1s, in these glia increases stress resistance, longevity, and activates the UPRER in intestinal cells via neuropeptides. Autophagy, a key regulator of metabolism and aging, has been described as a cell autonomous process. Surprisingly, we find that glial XBP-1s enhances proteostasis and longevity by cell non-autonomously reprogramming organismal lipid metabolism and activating autophagy. Glial XBP-1s regulates the activation of another transcription factor, HLH-30/TFEB, in the intestine. HLH-30 activates intestinal autophagy, increases intestinal lipid catabolism, and upregulates a robust transcriptional program. Our study reveals a novel role for glia in regulating peripheral lipid metabolism, autophagy, and organellar health through peripheral activation of HLH-30 and autophagy
DOI: 10.17632/dzszp4pbc7.1
title: Deciphering the Single-Cell Systemic Immune Landscape in Oral Lichen Planus

description: Single Cell 3' libraries were prepared using standard Illumina paired-end constructs, which include the P5 and P7 adaptors. The libraries incorporated a 16 bp 10x Barcode and a 12 bp Unique Molecular Identifier (UMI) within Read 1. The cDNA fragments in the 3' Gene Expression libraries were sequenced using Read 2, while the DNA from Cell Multiplexing Oligo Feature Barcodes in the Cell Multiplexing libraries was sequenced using Read 2N. The libraries were subjected to paired-end sequencing on an Illumina platform. Sample indexing was achieved using i7 and i5 index sequences. The following standard Illumina sequencing primer sites were utilized: for the 3' Gene Expression libraries, TruSeq Read 1 and TruSeq Read 2 primers were employed; for the Cell Multiplexing libraries, Nextera Read 1 and Nextera Read 2 primers were used. This method ensured accurate and efficient sequencing of both gene expression and multiplexing features, facilitating comprehensive single-cell analysis.
DOI: 10.17632/jjn2y7zxgz.1
title: Set Data Sikap dan Kesanggupan Membayar Pihak Berpentingan Terhadap Vaksin Denggi di Semenanjung Malaysia

description: The set data concerning trust in key players, attitudes towards technology, religiosity, perceived benefits and barriers, perceived risks and severity, self-efficacy, cues to action towards attitudes, and the willingness to pay for the dengue vaccine among stakeholders in Peninsular Malaysia. The validated questions were administered to selected stakeholders using a random online survey conducted via Google Forms, with participation being voluntary. The survey data were obtained from 580 adult participants over 18. The participants comprised 339 females and 241 males. Among the respondents, 281 expressed a willingness to spend between 0 and 49 Malaysian Ringgit for the vaccination, while the remainder indicated a preparedness to pay more than MYR 50. The comprehensive results offer many opportunities to assess the stakeholders' acceptance of the dengue vaccine, facilitate the development of policies and action plans, and encourage further research by other scholars interested in the provided methods and data.
DOI: 10.17632/p4y4mfb5nc.1
title: Metcalf ISCIENCE-D-23-07458R1_AGD2491_forward

description: Glia are the protectors of the nervous system, providing neurons with support and protection from cytotoxic insults. We previously discovered that four astrocyte-like glia can regulate organismal proteostasis and longevity in C. elegans. Expression of the UPRER transcription factor, XBP-1s, in these glia increases stress resistance, longevity, and activates the UPRER in intestinal cells via neuropeptides. Autophagy, a key regulator of metabolism and aging, has been described as a cell autonomous process. Surprisingly, we find that glial XBP-1s enhances proteostasis and longevity by cell non-autonomously reprogramming organismal lipid metabolism and activating autophagy. Glial XBP-1s regulates the activation of another transcription factor, HLH-30/TFEB, in the intestine. HLH-30 activates intestinal autophagy, increases intestinal lipid catabolism, and upregulates a robust transcriptional program. Our study reveals a novel role for glia in regulating peripheral lipid metabolism, autophagy, and organellar health through peripheral activation of HLH-30 and autophagy
DOI: 10.17632/yztws2dh4h.1
title: Metcalf ISCIENCE-D-23-07458R1_AGD2348_Reverse

description: Glia are the protectors of the nervous system, providing neurons with support and protection from cytotoxic insults. We previously discovered that four astrocyte-like glia can regulate organismal proteostasis and longevity in C. elegans. Expression of the UPRER transcription factor, XBP-1s, in these glia increases stress resistance, longevity, and activates the UPRER in intestinal cells via neuropeptides. Autophagy, a key regulator of metabolism and aging, has been described as a cell autonomous process. Surprisingly, we find that glial XBP-1s enhances proteostasis and longevity by cell non-autonomously reprogramming organismal lipid metabolism and activating autophagy. Glial XBP-1s regulates the activation of another transcription factor, HLH-30/TFEB, in the intestine. HLH-30 activates intestinal autophagy, increases intestinal lipid catabolism, and upregulates a robust transcriptional program. Our study reveals a novel role for glia in regulating peripheral lipid metabolism, autophagy, and organellar health through peripheral activation of HLH-30 and autophagy
DOI: 10.17632/xgtjgzf28r.1
title: The Least Cost Directed Perfect Awareness Problem - Benchmark Instances and Solutions

description: This dataset contains complementary data to the paper "The Least Cost Directed Perfect Awareness Problem: Complexity, Algorithms and Computations" [1]. Here, we make available two sets of instances of the combinatorial optimization problem studied in that paper, which deals with the spread of information on social networks. We also provide the best known solutions and bounds obtained through computational experiments for each instance.

The first input set includes 300 synthetic instances composed of graphs that resemble real-world social networks. These graphs were produced with a generator proposed in [2]. The second set consists of 14 instances built from graphs obtained by crawling Twitter [3].

The directories "synthetic_instances" and "twitter_instances" contain files that describe both sets of instances, all of which follow the format: the first two lines correspond to:

&lt;n&gt;
&lt;m&gt;

where &lt;n&gt; and &lt;m&gt; are the number of vertices and edges in the graph. Each of the next &lt;n&gt; lines contains:

&lt;v&gt; &lt;c&gt; &lt;t&gt;

where &lt;v&gt; identifies a vertex while &lt;c&gt; and &lt;t&gt; are the cost and threshold associated to that vertex. Each of the &lt;m&gt; remaining lines contains:

&lt;u&gt; &lt;v&gt; &lt;w&gt;

where &lt;u&gt; and &lt;v&gt; identify an ordered pair of vertices that determines a directed edge with weight &lt;w&gt;.

The directories "solutions_for_synthetic_instances" and "solutions_for_twitter_instances" contain files that describe the best known solutions for both sets of instances, all of which follow the format: the first line corresponds to:

&lt;s&gt;

where &lt;s&gt; is the number of vertices in the solution. Each of the next &lt;s&gt; lines contains:

&lt;v&gt;

where &lt;v&gt; identifies a seed vertex. The last line contains:

&lt;c&gt;

where &lt;c&gt; is the solution cost.

Lastly, two files, namely, "bounds_for_synthetic_instances.csv" and "bounds_for_twitter_instances.csv", enumerate the values of the best known lower and upper bounds for both sets of instances.

This work was supported by grants from Santander Bank, Brazil.
Caveat: the opinions, hypotheses and conclusions or recommendations expressed in this material are the responsibility of the authors and do not necessarily reflect the views of Santander.


References

[1] F. C. Pereira, P. J. de Rezende. The Least Cost Directed Perfect Awareness Problem: Complexity, Algorithms and Computations. Submitted. 2023.

[2] B. Bollobás, C. Borgs, J. Chayes, and O. Riordan. Directed scale-free graphs. In Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA ’03, pages 132–139, 2003.

[3] C. Schweimer, C. Gfrerer, F. Lugstein, D. Pape, J. A. Velimsky, R. Elsässer, and B. C. Geiger. Generating simple directed social network graphs for information spreading. In Proceedings of the ACM Web Conference 2022, WWW ’22, pages 1475–1485, 2022.
DOI: 10.17632/xgtjgzf28r.2
title: The Least Cost Directed Perfect Awareness Problem - Benchmark Instances and Solutions

description: This dataset contains complementary data to the paper "The Least Cost Directed Perfect Awareness Problem: Complexity, Algorithms and Computations" [1]. Here, we make available two sets of instances of the combinatorial optimization problem studied in that paper, which deals with the spread of information on social networks. We also provide the best known solutions and bounds obtained through computational experiments for each instance.

The first input set includes 300 synthetic instances composed of graphs that resemble real-world social networks. These graphs were produced with a generator proposed in [2]. The second set consists of 14 instances built from graphs obtained by crawling Twitter [3].

The directories "synthetic_instances" and "twitter_instances" contain files that describe both sets of instances, all of which follow the format: the first two lines correspond to:

<n>
<m>

where <n> and <m> are the number of vertices and edges in the graph. Each of the next <n> lines contains:

<v> <c> <t>

where <v> identifies a vertex while <c> and <t> are the cost and threshold associated to that vertex. Each of the <m> remaining lines contains:

<u> <v> <w>

where <u> and <v> identify an ordered pair of vertices that determines a directed edge with weight <w>.

The directories "solutions_for_synthetic_instances" and "solutions_for_twitter_instances" contain files that describe the best known solutions for both sets of instances, all of which follow the format: the first line corresponds to:




where 
 is the number of vertices in the solution. Each of the next 
 lines contains:

<v>

where <v> identifies a seed vertex. The last line contains:

<c>

where <c> is the solution cost.

Lastly, two files, namely, "bounds_for_synthetic_instances.csv" and "bounds_for_twitter_instances.csv", enumerate the values of the best known lower and upper bounds for both sets of instances.

This work was supported by grants from Santander Bank, Brazil.
Caveat: the opinions, hypotheses and conclusions or recommendations expressed in this material are the responsibility of the authors and do not necessarily reflect the views of Santander.


References

[1] F. C. Pereira, P. J. de Rezende. The Least Cost Directed Perfect Awareness Problem: Complexity, Algorithms and Computations. Submitted. 2023.

[2] B. Bollobás, C. Borgs, J. Chayes, and O. Riordan. Directed scale-free graphs. In Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA ’03, pages 132–139, 2003.

[3] C. Schweimer, C. Gfrerer, F. Lugstein, D. Pape, J. A. Velimsky, R. Elsässer, and B. C. Geiger. Generating simple directed social network graphs for information spreading. In Proceedings of the ACM Web Conference 2022, WWW ’22, pages 1475–1485, 2022.