cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9bp5bd7gn4.1
title: Stock market trading via actor-critic reinforcement learning and adaptable data structure

description: Currently, the stock market is attractive, and it is challenging to develop an efficient investment model with high accuracy due to changes in the values of the shares for political, economic, and social reasons. This paper presents an innovative proposal for a short-term, automatic investment model to reduce capital loss during trading, applying a reinforcement learning (RL) model. On the other hand, we propose an adaptable data window structure to enhance the learning and accuracy of investment agents in three foreign exchange markets: crude oil, gold, and the Euro. In addition, the RL model employs an actor-critic neural network with rectified linear unit (ReLU) neurons to generate specialized investment agents, enabling more efficient trading, minimizing investment losses across different time periods, and reducing the model's learning time. The proposed RL model obtained a reduction average loss of 0.03% in Euro, 0.25% in Gold, and 0.13% in Crude Oil in the test phase with varying initial conditions.
DOI: 10.17632/99h4wr5n7k.1
title: From Desire to Performance: Comprehensive Review on Flibanserin and Sildenafil

description: This work aims at presenting a comparative analysis of Flibanserin an agent used to treat sexual dysfunction in
women and Sildenafil an agent used to treat erectile dysfunction in men. Flibanserin is used to treat female sexual
dysfunction that is known as hypoactive sexual desire disorder in women of the premenopausal age group while
Sildenafil is mostly used in men to facilitate erectile dysfunction. It analyses their pharmacodynamics and
pharmacokinetics, effectiveness, risk-benefit balance, tolerability, and effects upon patients. Neural inhibition of
serotonin has also been seen to increase the intensity of sexual desire and libido, slightly improved with some side
effects flirting with flibanserin. Sildenafil acts through enhancing the smooth muscle relaxation through inhibition
of PDE5 and thus causing an increase in blood flow to the penis, and overall sildenafil has been reported to have
high effectiveness coupled with relative safety in most of the male population. Awareness of the differences and
specifics of these products may assist healthcare professionals in their choice of approaches to sexual dysfunction.
DOI: 10.17632/5mfh2ggkvs.1
title: I think therefore I am unique

description: Stimuli, Data and Data analyses
DOI: 10.17632/npymmmcng5.1
title: Analysis of complications associated with peripherally inserted central venous catheters. Prospective observational study

description: DATA-BASE OF Analysis of complications associated with peripherally inserted central venous catheters. Prospective observational study
DOI: 10.17632/9bzd5ygsbc.1
title: A data set of hydrogen and oxygen isotopes of lake water in Chinese lakes

description: A data set of hydrogen and oxygen isotopes of lake water in Chinese lakes
DOI: 10.17632/dfvmfmb3vz.1
title: Raw Pn paper data Keightley 2024

description: Comparative photosynthetic capacity, respiration rates, and nutrient content of micropropagated and wild-sourced Sphag-num - raw data
DOI: 10.17632/vd8mggf26d.1
title: Target proteins identified by ABPP

description: Table S1: List of 150 high-confidence target proteins identified by ABPP.
Table S2: List of proteins that potentially interact with IDH3A.
DOI: 10.17632/xw3bcstvc2.1
title: Comparative Analysis of Deep Learning Techniques for Global Horizontal Irradiance Forecasting in US Cities - Clean Energy Journal

description: This dataset is utilized to conduct a comparative analysis of various deep learning methods and techniques for global horizontal irradiance forecasting in three cities with different climates in the US. The cities are Rochester, Seattle, and Tucson.
DOI: 10.17632/xw3bcstvc2.2
title: Meteorological Data for Rochester, Seattle, and Tucson - 2021

description: This dataset is utilized to conduct a comparative analysis of various deep learning methods and techniques for global horizontal irradiance forecasting in three cities with different climates in the US. The cities are Rochester, Seattle, and Tucson. The data is for the year 2021.
DOI: 10.17632/fc4ckf9gww.1
title: Impact of Fuel Subsidy Removal on Vulnerable Households in Zamfara State

description: The study titled impact of fuel subsidy removal on vulnerable households in Zamfara State. The research work
aimed to examine the impact of subsidy removal on vulnerable households in Zamfara State engaged survey
research design. Data were collected from some selected local governments in Zamfara state through the use of a
closed ended questionnaire designed in a five likert scale. Data were analyzed with SPSS statistical model, using
Pearson correlation coefficient, partial correlation and regression to test the significant level of the formulated
hypotheses. The study was guided by the theory of Neo-liberalism. The results revealed that there is significant
relationship between fuel subsidy removal measured by inflation, unemployment and poverty and vulnerable
households in Zamfara state. The study concludes that fuel subsidy removal has negative impacts on vulnerable
households in Zamfara State. The researchers therefore recommend that government should urgently implement
short-term and long-term economic plans to mitigate its effects on vulnerable households and disbursement of
palliative packages through reliable platforms, and commencement of comprehensive social investment
programmers.
DOI: 10.15468/dl.k9fk7b
title: Occurrence Download

description: A dataset containing 7670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Botswana, Malawi, Mozambique, Zambia, Zimbabwe)",
 "TaxonKey is Euphorbiaceae"
 ]
}

 The dataset includes 7670 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043528-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xxzdsntgvt.1
title: data for "Exploring Single-Entity Electrochemistry Beyond Conventional Potential Windows: Mechanistic Insights into Hydrazine/Hydrazinium Ion Oxidation"

description: Figures (raw data) for the paper title "Exploring Single-Entity Electrochemistry Beyond Conventional Potential Windows: Mechanistic Insights into Hydrazine/Hydrazinium Ion Oxidation"
DOI: 10.5281/zenodo.5139873
title: Datensatz zum DFG-Projekt "Personelle Netzwerke im päpstlichen Umfeld des 9. Jahrhunderts"

description: Dieser Datensatz wurde im Rahmen des DFG-Projekts "Personelle Netzwerke im päpstlichen Umfeld des 9. Jahrhunderts" erstellt. Die entsprechende Webapplikation finden Sie hier: http://personspopes9c.regesta-imperii.de/personen/basic/
DOI: 10.5281/zenodo.13753169
title: Datensatz zum DFG-Projekt "Personelle Netzwerke im päpstlichen Umfeld des 9. Jahrhunderts"

description: Dieser Datensatz wurde im Rahmen des DFG-Projekts "Personelle Netzwerke im päpstlichen Umfeld des 9. Jahrhunderts" erstellt. Die entsprechende Webapplikation finden Sie hier: http://personspopes9c.regesta-imperii.de/personen/basic/

Die PNG-Datei zeigt die Verknüpfung der einzelnen Tabellen.
DOI: 10.5281/zenodo.5139872
title: Datensatz zum DFG-Projekt "Personelle Netzwerke im päpstlichen Umfeld des 9. Jahrhunderts"

description: Dieser Datensatz wurde im Rahmen des DFG-Projekts "Personelle Netzwerke im päpstlichen Umfeld des 9. Jahrhunderts" erstellt. Die entsprechende Webapplikation finden Sie hier: http://personspopes9c.regesta-imperii.de/personen/basic/

Die PNG-Datei zeigt die Verknüpfung der einzelnen Tabellen.
DOI: 10.15468/dl.k7xcnb
title: Occurrence Download

description: A dataset containing 249077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "SpeciesKey is Sturnella neglecta Audubon, 1844",
 "HasCoordinate is TRUE",
 "Year is 2023"
 ]
}

 The dataset includes 249077 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013105-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13329051
title: Data before and after CO2-basalt-water reactions
DOI: 10.5281/zenodo.13329052
title: Data before and after CO2-basalt-water reactions
DOI: 10.17632/r8d69gst88.1
title: Lightning strike damage images of CFRP laminates Part2

description: This is the second part of the dataset. For the first part, please see "Lightning strike damage images of CFRP laminates Part1".
Due to the complex and uncertain physics of lightning strike on carbon fiber-reinforced polymer (CFRP) laminates, conventional numerical simulation methods for assessing the residual strength of lightning-damaged CFRP laminates are highly time-consuming and far from pretty. To overcome these challenges, this study proposes a new prediction method for residual strength of CFRP laminates based on machine learning. A diverse dataset is gained and augmented from photographs of lightning strike damage areas, C-scan images, mechanical performance data, layup details, and lightning current parameters.
DOI: 10.17632/hwvtrp3994.1
title: Pharmacological evaluation of ZLQ-3-1 in Sprague Dawley Rats using cylinder task

description: Pharmacological evaluation of ZLQ-3-1 in Sprague Dawley Rats using cylinder task.
DOI: 10.15468/dl.2ft5de
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT PRINTF('%04d-%02d', "year", "month") AS yearMonth, decimalLatitude AS lat, decimalLongitude AS lon, family, familyKey, genus, genusKey, species, speciesKey, iucnRedListCategory, basisOfRecord FROM occurrence WHERE iucnRedListCategory IN ('NT','VU','EN','CR','EW','EX','LC') AND occurrenceStatus = 'PRESENT' AND countryCode = '{{country}}' AND "year" &gt;= 1980 AND classKey = 212 AND hasCoordinate = TRUE AND (coordinateUncertaintyInMeters &lt;= 1000 OR coordinateUncertaintyInMeters IS NULL) AND speciesKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND "month" IS NOT NULL AND basisOfRecord IN ('HUMAN_OBSERVATION','MACHINE_OBSERVATION','MATERIAL_CITATION','OBSERVATION','OCCURRENCE') GROUP BY yearMonth, lat, lon, familyKey, family, genusKey, genus, speciesKey, species, iucnRedListCategory, basisOfRecord

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013107-240906103802322/datasets/export for details.
DOI: 10.34658/rdb.zdsin2/aq25pf
title: raport23_558107.pdf

description: Systemy chłodzenia układów elektronicznych z przemianą fazową pracujące w termodynamicznym cyklu Maisotsenki - raport - rok 2023
DOI: 10.34658/rdb.zdsin2/k2xfa5
title: Readme-PAR2023.txt

description: :unav
DOI: 10.34658/rdb.zdsin2/tutot5
title: image4.png

description: :unav
DOI: 10.34658/rdb.zdsin2/30lgha
title: image1.png

description: :unav
DOI: 10.34658/rdb.zdsin2/sy14io
title: Raw measurement data - PAR2023.tab

description: :unav
DOI: 10.34658/rdb.zdsin2/v1lpen
title: image3.png

description: :unav
DOI: 10.34658/rdb.zdsin2/wcjysi
title: Processed measurement data - PAR2023.tab

description: :unav
DOI: 10.34658/rdb.zdsin2/wlp0hx
title: image5.png

description: :unav
DOI: 10.23729/a050e440-6f41-498d-8a31-097ff6881544
title: Dataset for "Estimating intra- and inter-subject oxygen consumption in outdoor human gait using multiple neural network approaches"

description: Dataset for Müller et al. -- "Estimating intra- and inter-subject oxygen consumption in outdoor human gait using multiple neural network approaches". The dataset contains the segmented datasets used in the article as well as all files to repeat training, validation, and testing of the neural networks tested in the article.
DOI: 10.34658/rdb.zdsin2/cgq2xe
title: image2.png

description: :unav
DOI: 10.15468/dl.hvcr9v
title: Occurrence Download

description: A dataset containing 4163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Baetis vernus Curtis, 1834"
 ]
}

 The dataset includes 4163 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013111-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11252844
title: All-sky Imager Observations from the Chinese Yellow River Station on December 27th, 2004

description: This dataset contains the all-sky imager observations from the Chinese Yellow Rriver Station December 27th, 2004. The name of each compressed file corresponds to the observed waveband, i.e., 5577 Å and 6300 Å. The observation data files are in the png and gif format.

Videos here correspond to the supporting videos for: Magnetosheath High-Speed Jet Drives Multiple Auroral Arcs Near Local Noon.
DOI: 10.5281/zenodo.13753139
title: All-sky Imager Observations from the Chinese Yellow River Station on December 27th, 2004

description: This dataset contains the all-sky imager observations from the Chinese Yellow Rriver Station December 27th, 2004. The name of each compressed file corresponds to the observed waveband, i.e., 5577 Å and 6300 Å. The observation data files are in the png and gif format.

Videos here correspond to the supporting videos for: Magnetosheath High-Speed Jet Drives Multiple Auroral Arcs Near Local Noon.
DOI: 10.21227/r02m-zx61
title: 5G mmWave Dataset with Beamforming in a Realistic Industrial Scenario

description: This dataset has been measured from the User Equipment (UE) using an Automated Guided Vehicle (AGV). The collected metrics include the radio information measured by the modem, and the localization information obtained from the AGV's navigation system based on LiDAR technology.The AGV is configured to follow a loop movement from the south to the north of the laboratory at 1 m/s speed. The BTS is a commercial cell publicly available on mmWave, but no external users were connected to mmWave during the experiments.The scenario corresponds to the &lt;a href=https://www.5gsmartproduction.aau.dk/&gt;AAU Smart Production Laboratory &lt;/a&gt;, sited in Aalborg, Denmark.
DOI: 10.5281/zenodo.7611473
title: Coarse-grained moment from atmospheric model

description: Data from high-resolution models.
DOI: 10.5281/zenodo.7611474
title: Coarse-grained moment from atmospheric model

description: Data from high-resolution models.
DOI: 10.15468/dl.z5q56q
title: Occurrence Download

description: A dataset containing 1128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ceratozamia alvarezii Pérez-Farr., Vovides & Iglesias, Ceratozamia becerrae Pérez-Farr., Vovides & Schutzman, Ceratozamia chimalapensis Pérez-Farr. & Vovides, Ceratozamia decumbens Vovides, Avendaño, Pérez-Farr. & Gonz.-Astorga, Ceratozamia euryphyllidia Vázq.Torres, Sabato & D.W.Stev., Ceratozamia fuscoviridis W.Bull, Ceratozamia hildae G.P.Landry & M.C.Wilson, Ceratozamia huastecorum Avendaño, Vovides & Cast.-Campos, Ceratozamia kuesteriana Regel, Ceratozamia latifolia Miq., Ceratozamia matudae Lundell, Ceratozamia mexicana Brongn., Ceratozamia microstrobila Vovides & J.D.Rees, Ceratozamia miqueliana H.Wendl., Ceratozamia mirandae Vovides, Pérez-Farr. & Iglesias, Ceratozamia mixeorum Chemnick, T.J.Greg. & Salas-Mor., Ceratozamia morettii Vázq.Torres & Vovides, Ceratozamia norstogii D.W.Stev., Ceratozamia robusta Miq., Ceratozamia sabatoi Vovides, Vázq.Torres, Schutzman & Iglesias, Ceratozamia vovidesii Pérez-Farr. & Iglesias, Ceratozamia whitelockiana Chemnick & T.J.Greg., Ceratozamia zaragozae Medellín, Ceratozamia zoquorum Pérez-Farr., Vovides & Iglesias)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 1128 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013112-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r733094
title: Sex-related and hormone-related differences in non-visual responses to light exposure 

description: [Scope]
This is a comparison of published research studies (n=12) investigating sex and hormone-related differences in non-visual effects of light. Specifically, research studies investigating the following classes of non-visual effects of light were included: 
1. Neuroendocrine (melatonin suppression) 
2. Circadian (phase shift) 
3. Pupillary (pupillary light reflex) 
4. Cognitive (vigilant attention and alertness). 

[Identification of articles]
Articles were identified through systematic searches on Google Scholar, PubMed and Web of Science. The search words included: “sex differences in non-visual effects”, “menstrual influences in non-visual effects”, and “hormone-related differences in non-visual effects”.  

[Data extraction scheme]
The comparison is based on properties inspired by the ENLIGHT Checklist for reporting light characteristics in studies investigating non-visual effects of light (see Spitschan et al., 2023 in Data sources). Where possible, properties matching the ENLIGHT Checklist categories were used and additional properties were added to capture key information and facilitate comparisons. Overall, the following data extraction scheme was used: 
1. Comparison descriptors (n=8), i.e. core properties enabling a meaningful comparison between studies (research question, non-visual effect investigated, original study where data was collected, prospective/retrospective analysis, outcome measures: assessment, outcome measures: derived metrics, data processing/analysis notes, results) 
2. Participant-level characteristics (n=6; plc01: sample size and age, plc02: ocular health and functioning, plc03: pupil size and/or dilation, plc04: reproductive health, plc05: menstrual phase coding, plc06: distinction between sex and gender) 
3. Context-level characteristics (n=2; clc01: season of data collection and clc02: geographical location) 
4. Study-level characteristics (n=6; slc01: general study design, slc02: timeline of the experiment (total), slc03: pre-laboratory sleep-wake behaviour, slc04: start point of in-laboratory protocol, slc05: in-laboratory experimental protocol, slc06: additional visual graphic) 
5. Light-exposure level characteristics (n=9; lec01: light exposure conditions, lec02: light source type, lec03: light source location, lec04: manufacturer of light source, lec05: light level characteristics, lec06: viewing distance to stimulus, lec07: instructions for gaze during exposure, lec08: measurement details for illuminance, lec09: manufacturer of measuring instrument).

[Notes on included studies]
Among the 12 studies included, the two studies from Parry et al. (1997) represent the same paper. However, since the paper comprises two different research studies, each related to a different non-visual effect of light, this single paper was entered as two separate contributions to facilitate the readability of the comparison.
DOI: 10.15468/dl.2xgqu2
title: Occurrence Download

description: A dataset containing 10457 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symbiodinium Freudenthal, 1962"
 ]
}

 The dataset includes 10457 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013113-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10577487
title: STSNet: A cross-spatial resolution multi-modal remote sensing deep fusion network for high resolution land-cover classification

description: We have released an open-source dataset combining hyperspectral and high spatial resolution data with multi-temporal data (named WHU-H2SR-MT). To our knowledge, this is currently the largest dataset available for spatio-temporal-spectral interpretation. This dataset serves not only to validate the effectiveness of the algorithms presented in this paper but also to contribute to the research community in this field.The dataset has eight land-cover categories: paddy field, dry farmland, forest land, grassland, building, highway, greenhouse, and water body.  

The H2SR images was acquired in September 2020, with a spectral range between 391 nm and 984 nm, comprising 249 bands. The image was preprocessed by relative radiometric calibration and atmospheric correction. The H2SR images was resampled from 0.75 m to 1 m, and the spectral resolution of each band is ≤ 5 nm.

Multi-temporal Sentinel-2 images for the year 2020 within the experimental area were acquired, resulting in a total of 31 Sentinel-2 images after cloud removal operations. Ten land-cover relevant bands (B2, B3, B4, B5, B6, B7, B8, B8a, B11, B12) were selected, and resampled the bands with coarser spatial resolution (B5, B6, B7, B8a, B11, B12) to 10 m.

Citation:

Yu, B., Li, J., & Huang, X. (2024). STSNet: A cross-spatial resolution multi-modal remote sensing deep fusion network for high resolution land-cover segmentation. Information Fusion, 102689.
DOI: 10.5281/zenodo.10578673
title: STSNet: A cross-spatial resolution multi-modal remote sensing deep fusion network for high resolution land-cover classification

description: We have released an open-source dataset combining hyperspectral and high spatial resolution data with multi-temporal data (named WHU-H2SR-MT). To our knowledge, this is currently the largest dataset available for spatio-temporal-spectral interpretation. This dataset serves not only to validate the effectiveness of the algorithms presented in this paper but also to contribute to the research community in this field.The dataset has eight land-cover categories: paddy field, dry farmland, forest land, grassland, building, highway, greenhouse, and water body.  

The H2SR images was acquired in September 2020, with a spectral range between 391 nm and 984 nm, comprising 249 bands. The image was preprocessed by relative radiometric calibration and atmospheric correction. The H2SR images was resampled from 0.75 m to 1 m, and the spectral resolution of each band is ≤ 5 nm.

Multi-temporal Sentinel-2 images for the year 2020 within the experimental area were acquired, resulting in a total of 31 Sentinel-2 images after cloud removal operations. Ten land-cover relevant bands (B2, B3, B4, B5, B6, B7, B8, B8a, B11, B12) were selected, and resampled the bands with coarser spatial resolution (B5, B6, B7, B8a, B11, B12) to 10 m.

Citation:

Yu, B., Li, J., & Huang, X. (2024). STSNet: A cross-spatial resolution multi-modal remote sensing deep fusion network for high resolution land-cover segmentation. Information Fusion, 102689.