cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15154982
title: TABLE 1 in Chionanthus monteazulensis (Oleaceae), a new species from the campo rupestre of Espinhaço Range, Brazil

description: TABLE 1. Comparative table indicating the main differences between Chionanthus monteazulensis and the morphologically most similar species, C. fluminensis and C. crassifolius.
CharactersC. monteazulensisC. fluminensisC. crassifoliusPetiole length (mm)1–21–22–35Leaves length (cm)(1–)1.8–2.93.5–10.51.5–19Leaves shapewide-elliptical to orbicularellipticellipticLeaves basecordatesubcordateacute do obtuseInflorescence size6–13 mm2–5 cm1.5–5 cmPetals size4–7 mm9–12 mm7–11 mmStamen number242Fruit size2–3 mm1–2 cm5 mm
description: Published as part of Zavatin, Danilo Alvarenga, Almeida, Roberto Baptista Pereira, Ramos, Renato & Lombardi, Julio Antonio, 2023, Chionanthus monteazulensis (Oleaceae), a new species from the campo rupestre of Espinhaço Range, Brazil, pp. 293 in Phytotaxa 603 (3) on page 293, DOI: 10.11646/phytotaxa.603.3.8, http://zenodo.org/record/8166760
DOI: 10.5281/zenodo.15154983
title: TABLE 1 in Chionanthus monteazulensis (Oleaceae), a new species from the campo rupestre of Espinhaço Range, Brazil

description: TABLE 1. Comparative table indicating the main differences between Chionanthus monteazulensis and the morphologically most similar species, C. fluminensis and C. crassifolius.
CharactersC. monteazulensisC. fluminensisC. crassifoliusPetiole length (mm)1–21–22–35Leaves length (cm)(1–)1.8–2.93.5–10.51.5–19Leaves shapewide-elliptical to orbicularellipticellipticLeaves basecordatesubcordateacute do obtuseInflorescence size6–13 mm2–5 cm1.5–5 cmPetals size4–7 mm9–12 mm7–11 mmStamen number242Fruit size2–3 mm1–2 cm5 mm
description: Published as part of Zavatin, Danilo Alvarenga, Almeida, Roberto Baptista Pereira, Ramos, Renato & Lombardi, Julio Antonio, 2023, Chionanthus monteazulensis (Oleaceae), a new species from the campo rupestre of Espinhaço Range, Brazil, pp. 293 in Phytotaxa 603 (3) on page 293, DOI: 10.11646/phytotaxa.603.3.8, http://zenodo.org/record/8166760
DOI: 10.15468/dl.yyubum
title: Occurrence Download

description: A dataset containing 3315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.10_1",
 "TaxonKey is Trochilidae"
 ]
}

 The dataset includes 3315 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001042-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92vb9s
title: Occurrence Download

description: A dataset containing 1403438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salmo salar Linnaeus, 1758, Gadus morhua Linnaeus, 1758, Anguilla rostrata (Lesueur, 1817), Anarhichas denticulatus Krøyer, 1845, Anarhichas minor Olafsen, 1772, Anarhichas lupus Linnaeus, 1758, Lamna nasus (Bonnaterre, 1788))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1403438 records from 442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000986-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27297258
title: Datasheet_YEH.csv

description: This study presents advanced research on using Artificial Neural Networks (ANNs) to predict Chemical Oxygen Demand (COD) in wastewater treatment, specifically focusing on herbicide degradation. Here are the key aspects:Research Objective:- To develop and evaluate ANN models for predicting COD removal during the degradation of commercial herbicides (Alazine and Gesaprim)- To compare different backpropagation algorithms for training the neural networks- To identify the most influential parameters affecting COD removal<br>Methodology:1. Experimental Setup:- Used a photochemical reactor with 250ml capacity- Employed UV lamp (15W, 352nm) and ultrasonic probe (500W, 20kHz)- Monitored six key variables: * Reaction time * pH * TiO₂ concentration * UV light intensity * Ultrasound frequency * Herbicide concentration<br>2. Neural Network Implementation:- Tested five backpropagation algorithms: * Gradient Descent * Conjugate Gradient * Scaled Conjugate Gradient * Quasi-Newton * Levenberg-Marquardt- Conducted 30 independent runs for each algorithm- Split data: 70% training, 30% testing<br>Key Findings:1. Algorithm Performance:- Levenberg-Marquardt algorithm showed superior performance- Achieved R² value of 0.9999- Demonstrated lowest Mean Square Error (MSE)- Showed statistical significance in performance difference compared to other algorithms<br>2. Parameter Influence:- Reaction time was the most influential parameter (59.91% relative importance)- Followed by: * Herbicide concentration * TiO₂ concentration * pH * Ultrasound frequency * UV light intensity<br>3. Model Accuracy:- Successfully predicted COD values with high precision- Showed strong correlation between experimental and predicted values- Demonstrated robust performance across different operating conditions<br>Significance:- Provides a reliable tool for real-time monitoring of wastewater treatment- Offers potential for process optimization in industrial applications- Contributes to more efficient herbicide removal from contaminated water- Advances the field of environmental engineering through AI application<br>Our research represents a significant advancement in applying machine learning to environmental engineering, particularly in wastewater treatment optimization and herbicide degradation monitoring.<br>
DOI: 10.6084/m9.figshare.27297258.v1
title: Datasheet_YEH.csv

description: This study presents advanced research on using Artificial Neural Networks (ANNs) to predict Chemical Oxygen Demand (COD) in wastewater treatment, specifically focusing on herbicide degradation. Here are the key aspects:Research Objective:- To develop and evaluate ANN models for predicting COD removal during the degradation of commercial herbicides (Alazine and Gesaprim)- To compare different backpropagation algorithms for training the neural networks- To identify the most influential parameters affecting COD removal<br>Methodology:1. Experimental Setup:- Used a photochemical reactor with 250ml capacity- Employed UV lamp (15W, 352nm) and ultrasonic probe (500W, 20kHz)- Monitored six key variables: * Reaction time * pH * TiO₂ concentration * UV light intensity * Ultrasound frequency * Herbicide concentration<br>2. Neural Network Implementation:- Tested five backpropagation algorithms: * Gradient Descent * Conjugate Gradient * Scaled Conjugate Gradient * Quasi-Newton * Levenberg-Marquardt- Conducted 30 independent runs for each algorithm- Split data: 70% training, 30% testing<br>Key Findings:1. Algorithm Performance:- Levenberg-Marquardt algorithm showed superior performance- Achieved R² value of 0.9999- Demonstrated lowest Mean Square Error (MSE)- Showed statistical significance in performance difference compared to other algorithms<br>2. Parameter Influence:- Reaction time was the most influential parameter (59.91% relative importance)- Followed by: * Herbicide concentration * TiO₂ concentration * pH * Ultrasound frequency * UV light intensity<br>3. Model Accuracy:- Successfully predicted COD values with high precision- Showed strong correlation between experimental and predicted values- Demonstrated robust performance across different operating conditions<br>Significance:- Provides a reliable tool for real-time monitoring of wastewater treatment- Offers potential for process optimization in industrial applications- Contributes to more efficient herbicide removal from contaminated water- Advances the field of environmental engineering through AI application<br>Our research represents a significant advancement in applying machine learning to environmental engineering, particularly in wastewater treatment optimization and herbicide degradation monitoring.<br>
DOI: 10.6084/m9.figshare.27275964.v2
title: <b>Estonian isolated-word text-to-speech </b><b>synthesiser. Audio files for evaluation and evaluation results.</b>

description: Our paper <b>Estonian isolated-word text-to-speech </b><b>synthesiser </b>presents the development and evaluation of an Estonian isolated-word text-to-speech (TTS) synthesiser. We conducted a perception test to evaluate the performance of the TTS system in terms of pronunciation accuracy. We used 16 pairs of  homographs that differ in palatalisation and 16 pairs of homographs that differ in quantity. Here we present audio files for evaluation and evaluation results.
DOI: 10.15468/dl.naka7k
title: Occurrence Download

description: A dataset containing 796780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-79.61682 8.942719, -79.33973 8.942719, -79.33973 9.15401, -79.61682 9.15401, -79.61682 8.942719))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 796780 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000984-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27296991.v3
title: Data for craters.xlsx

description: These data are used to investigate the potential factors that influence the gas blowout craters occurrence. we considered the 12 months preceding the gas blowout as a single year for analysis rather than using a calendar year.
DOI: 10.15468/dl.v93zm8
title: Occurrence Download

description: A dataset listing the 7684 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((33.72814 -4.47467,38.44727 -4.47467,38.44727 -1.16822,33.72814 -1.16822,33.72814 -4.47467))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 7684 records were derived from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001026-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsm825
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ninia celata Mccranie & Wilson, 1995"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001044-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mru9as
title: Occurrence Download

description: A dataset containing 3030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-113.35904 35.65975,-114.50661 36.2251,-114.73144 33.25805,-114.81313 32.57186,-114.3787 32.17241,-111.07171 31.24847,-108.21254 31.33016,-108.19621 31.77129,-106.38268 31.72228,-107.19958 33.07834,-105.68014 36.42764,-108.20103 36.75462,-109.58494 36.93412,-111.61086 36.91779,-111.85593 36.08454,-112.73819 36.36229,-113.35904 35.65975))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Libellula saturata Uhler, 1857, Libellula saturata aliasignata Muttkowski, 1910)",
 "Year 2012-2024"
 ]
}

 The dataset includes 3030 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001046-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zd8sdkjs9x.1
title: LINF_360028400

description: DEAD-box RNA helicase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zg89423tkb.3
title: NIRS intact green coffee beans with CGA content, species and Geographical origins from Java, Indonesia

description: Presented dataset contains spectral data of intact green beans coffee samples from Java Island, Indonesia. 
Spectral data were acquired in wavelength range from 1000 to 2500 nm. 

data can be analyzed for quantitative and qualitative purposes. 
presented data on .txt and .unsb format that can be run directly in The Unscrambler X
DOI: 10.17632/5jxjff4wt6.1
title: LINF_360029600

description: developmentally regulated GTP-binding protein 1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/3gfd8m96xw
title: LDHU3_19.0780

description: Kinesin; Leishmania donovani (HU3 strain)
DOI: 10.17632/3gfd8m96xw.1
title: LDHU3_19.0780

description: Kinesin; Leishmania donovani (HU3 strain)
DOI: 10.17632/dr5svc4bj5
title: LDHU3_19.0760

description: Kinesin | Flagellum attachment zone protein 7A | FAZ7A; Leishmania donovani (HU3 strain)
DOI: 10.17632/dr5svc4bj5.1
title: LDHU3_19.0760

description: Kinesin | Flagellum attachment zone protein 7A | FAZ7A; Leishmania donovani (HU3 strain)
DOI: 10.17632/wvnb9cvnxw
title: LDHU3_19.0750

description: U3 snoRNA-associated protein UTP11; Leishmania donovani (HU3 strain)
DOI: 10.17632/wvnb9cvnxw.1
title: LDHU3_19.0750

description: U3 snoRNA-associated protein UTP11; Leishmania donovani (HU3 strain)
DOI: 10.17632/ygkhgmb3k9.1
title: LINF_360028800

description: NSUN2.1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/kw2nm2rc55
title: Supporting data for "Optimization of polyacrylamide as a surface spraying agent for cracking mitigation and erosion control in lateritic soil"

description: This is the supporting data for our study entitled "Optimization of polyacrylamide as a surface spraying agent for cracking mitigation and erosion control in lateritic soil".
Abstract: Lateritic soil slopes are typically protected using vegetative techniques, but a vulnerable period exists in the early stages before vegetation establishes, leading to significant desiccation cracking and surface erosion. This study aims to screen an effective agent to mitigate desiccation cracking and surface erosion in lateritic soil when applied using the surface spraying method. A series of laboratory tests were conducted to examine the influences of various agents on the tensile strength, desiccation cracking, surface erosion, and plant growth in lateritic soil. Finally, the protective mechanism of the screened optimal agent was analyzed. The results show that untreated lateritic soil at natural dry density after drying has a low tensile strength of 15.1 kPa, resulting in a high crack intensity factor of 8.30% after wet-dry cycles and a large erosion ratio of 2.92 g/cm² under heavy rainfall. Soil stabilizer, sodium silicate, and alkaline lignin demonstrate effectiveness in enhancing strength, mitigating cracks, and controlling erosion at appropriate concentrations, but they inhibit plant growth in lateritic soil. Polyaluminum chloride cannot prevent surface erosion, although it improves tensile strength and crack resistance and does not inhibit plant growth. Polyacrylamide exhibits the best overall performance as it can increase the tensile strength to 57.7 kPa, reduce the crack intensity factor to 3.44% and the erosion ratio to within 0.10 g/cm2, without affecting plant growth. Because polyacrylamide is also easily accessible, cost-effective and fast-acting, it stands out as the superior surface spraying agent for protecting lateritic soil slopes.
DOI: 10.17632/kw2nm2rc55.1
title: Supporting data for "Optimization of polyacrylamide as a surface spraying agent for cracking mitigation and erosion control in lateritic soil"

description: This is the supporting data for our study entitled "Optimization of polyacrylamide as a surface spraying agent for cracking mitigation and erosion control in lateritic soil".
Abstract: Lateritic soil slopes are typically protected using vegetative techniques, but a vulnerable period exists in the early stages before vegetation establishes, leading to significant desiccation cracking and surface erosion. This study aims to screen an effective agent to mitigate desiccation cracking and surface erosion in lateritic soil when applied using the surface spraying method. A series of laboratory tests were conducted to examine the influences of various agents on the tensile strength, desiccation cracking, surface erosion, and plant growth in lateritic soil. Finally, the protective mechanism of the screened optimal agent was analyzed. The results show that untreated lateritic soil at natural dry density after drying has a low tensile strength of 15.1 kPa, resulting in a high crack intensity factor of 8.30% after wet-dry cycles and a large erosion ratio of 2.92 g/cm² under heavy rainfall. Soil stabilizer, sodium silicate, and alkaline lignin demonstrate effectiveness in enhancing strength, mitigating cracks, and controlling erosion at appropriate concentrations, but they inhibit plant growth in lateritic soil. Polyaluminum chloride cannot prevent surface erosion, although it improves tensile strength and crack resistance and does not inhibit plant growth. Polyacrylamide exhibits the best overall performance as it can increase the tensile strength to 57.7 kPa, reduce the crack intensity factor to 3.44% and the erosion ratio to within 0.10 g/cm2, without affecting plant growth. Because polyacrylamide is also easily accessible, cost-effective and fast-acting, it stands out as the superior surface spraying agent for protecting lateritic soil slopes.
DOI: 10.17632/bc3p4phpy5.1
title: Regional Data on the Electricity Consumption in Japan: 1990-2015

description: The data recorded in this repository relate to electricity consumption in the region of Japan (for the period 1990-2015). This dataset can be used to analyze the impact of electricity price changes on electricity demand by region in the residential and industrial sectors. It can be classified into three categories: (i) regional sectoral electricity consumption data, (ii) regional sectoral electricity consumption intensity data, and (iii) regional sectoral electricity price data. Each data set is obtained directly on an annual basis, but all data are aggregated by region.
DOI: 10.17632/h9ksk3wswh.1
title: LINF_360030300

description: glucokinase | GlcK
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zmh93bf8g6.1
title: Data for: "Music Literacy shapes the Specialization of a Right-hemispheric Word Reading area, beyond VWFA"

description: This study investigates the neural mechanisms underlying word reading in professional musicians compared to musically naïve individuals (control group), focusing on the N170 component of ERPs dedicated to orthographic processing. The application of standardized weighted low-resolution electromagnetic tomography (swLORETA) to individual data contributes to the innovative nature of this project. The results showed that musicians showed a bilateral activation of the Visual Word Form Area (VWFA, BA37) in contrast to controls who showed a clearly left lateralized activation of the middle occipital gyrus (MOG, BA19). Musicians also showed enhanced reading skills compared to controls. It is thought that musicians develop this extra reading region to read the spatial and holistic aspects of musical notation. 
ERPs were recorded in 80 participants (men and women, musicians and non-musicians).
The study involved the visual presentation of 300 Italian words of different length and complexity, presented randomly on a computer screen, as described in detail in the study by Proverbio et al. (2013). The words, written in upper case, ranged from 4 to 10 letters. A recognition task was performed in which participants had to press a key when they saw a specific target letter within a word, depending on the experimental condition, while ignoring non-target letters. Words lasted 1,600 ms, and the interstimulus interval (ISI) was randomly varied between 1,000 and 1,200 ms. ERPs were averaged from -100 to 1200 ms. The N170 component was quantified between 150-190 ms. swLORETA was applied to N170 responses during word reading in both groups. The full list of dipoles and neuroimaging data is presented here. The data are a compendium to the paper "Music Literacy shapes the Specialization of a Right-hemispheric Word Reading area" and include raw data collected from 2013 to 2023 at the Cognitive Lab ERP of UNIMIB for the "Neuroscience of Music" project. 
Related papers:
Pantaleo MM, Arcuri G, Manfredi M, Proverbio AM. Music literacy improves reading skills via bilateral orthographic development. Sci Rep. 2024 Feb 12;14(1):3506. 
Proverbio AM, Manfredi M, Zani A, Adorni R. Musical expertise affects neural bases of letter recognition. Neuropsychologia. 2013 Feb;51(3):538-49.
DOI: 10.15468/dl.8eyavu
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Larus fuliginosus Gould, 1841"
 ]
}

 The dataset includes 240 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004413-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c7chh22m78.1
title: LINF_360030600

description: glyceraldehyde 3-phosphate dehydrogenase | G3PD
Leishmania infantum (strain JPCM5)
DOI: 10.17632/9rb2828zb7.1
title: TLR4-dependent innate immune responses are mediated by intracrine corticosteroids and activation of GSK-3β in astrocytes

description: Reactive astrocytes are important pathophysiologically and synthesise neurosteroids.
DOI: 10.17632/zrrnpmgjtb.1
title: LINF_360030200

description: mitoribosomal protein bS18m
Leishmania infantum (strain JPCM5)
DOI: 10.17632/pcyj38hp2z.1
title: ERCC6L2 mitigates replication stress and promotes centromere stability

description: Source data files
DOI: 10.17632/p5238ks2m5.1
title: CAS isotopic and rare earth element concentration data for Olenekian carbonate rocks from Qiakong, Wadi Musjah and Jebel Aweri sections

description: This dataset includes the carbonate associated sulfate (CAS) sulfur and oxygen isotope data, as well as rare element concentrations measured from samples originating from Smithian to Spathian sections of Qiakong (South China), Wadi Musjah and Jebel Aweri (both Oman).
DOI: 10.17632/p5238ks2m5.2
title: CAS isotopic and rare earth element concentration data for Olenekian carbonate rocks from Qiakong, Wadi Musjah and Jebel Aweri sections

description: This dataset includes the carbonate associated sulfate (CAS) sulfur and oxygen isotope data, as well as rare element concentrations measured from samples originating from Smithian to Spathian sections of Qiakong (South China), Wadi Musjah and Jebel Aweri (both Oman).
DOI: 10.17632/p5238ks2m5.3
title: CAS isotopic and rare earth element concentration data for Olenekian carbonate rocks from Qiakong, Wadi Musjah and Jebel Aweri sections

description: This dataset includes the carbonate associated sulfate (CAS) sulfur and oxygen isotope data, as well as rare element concentrations measured from samples originating from Smithian to Spathian sections of Qiakong (South China), Wadi Musjah and Jebel Aweri (both Oman).
DOI: 10.17632/h7w329xwmp.1
title: LINF_080016500

description: Thiopurine S-methyltransferase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/w35z8grhwr.1
title: LINF_360031300

description: sterol 24-C-methyltransferase | SMT2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/pv73rpgp28.1
title: LINF_360031100

description: J-glucosyltransferase (JGT )| HmdUGT
Leishmania infantum (strain JPCM5)
DOI: 10.17632/hz4xs2dxtx.1
title: Toll-like receptor 4-dependent innate immune responses are mediated by intracrine corticosteroids and activation of glycogen synthase kinase-3β in astrocytes

description: Reactive astrocytes are important pathophysiologically and synthesise neurosteroids.