cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.f6b88a
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Budorcas taxicolor"
 ]
}

 The dataset includes 444 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003771-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sr435b
title: Occurrence Download

description: A dataset containing 11233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tremarctos ornatus"
 ]
}

 The dataset includes 11233 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003772-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtdyhf
title: Occurrence Download

description: A dataset containing 3508 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cetoscarus ocellatus"
 ]
}

 The dataset includes 3508 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003774-251025141854904/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.30444779.v2
title: hhh

description: <b>It includes the ancestral sequences inferred in the article analysis, as well as all genomic protein and CDS sequences used in subsequent analyses.</b>
DOI: 10.15468/dl.vu5wju
title: Occurrence Download

description: A dataset containing 20338 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ageratina adenophora"
 ]
}

 The dataset includes 20338 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003773-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17451613
title: Data for "Full dynamics of two-membrane cavity optomechanics"

description: Data for "Full dynamics of two-membrane cavity optomechanics." Figs. 4, 5, and 6 in the manuscript are drawn from simulation data, while the rest are schematic diagrams or analytical results. This dataset provides the data corresponding to Figs. 4, 5, and 6, as well as the raw scattered points corresponding to the entangled oscillators in Figure 6. A simple count of the scattered points yields a probability distribution function.
DOI: 10.5281/zenodo.17460835
title: Data for "Full dynamics of two-membrane cavity optomechanics"

description: Data for "Full dynamics of two-membrane cavity optomechanics." Figs. 4, 5, and 6 in the manuscript are drawn from simulation data, while the rest are schematic diagrams or analytical results. This dataset provides the data corresponding to Figs. 4, 5, and 6, as well as the raw scattered points corresponding to the entangled oscillators in Figure 6. A simple count of the scattered points yields a probability distribution function.
DOI: 10.15468/dl.7v7e7e
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capricornis rubidus"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003775-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5nuh6
title: Occurrence Download

description: A dataset containing 85 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 2433401 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2433401 OR CAST(occurrence.kingdomkey AS INTEGER) = 2433401 OR CAST(occurrence.phylumkey AS INTEGER) = 2433401 OR CAST(occurrence.classkey AS INTEGER) = 2433401 OR CAST(occurrence.orderkey AS INTEGER) = 2433401 OR CAST(occurrence.familykey AS INTEGER) = 2433401 OR CAST(occurrence.genuskey AS INTEGER) = 2433401 OR CAST(occurrence.specieskey AS INTEGER) = 2433401)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 85 records were derived from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003760-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yymbe5
title: Occurrence Download

description: A dataset containing 15416 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scarus ghobban"
 ]
}

 The dataset includes 15416 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003776-251025141854904/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.29041234
title: Desulfurization sludge and fly ash in autoclaved aerated concrete blocks

description: Due to the high heavy metal content, desulfurization sludge is often treated as hazardous waste by power plants, leading to high disposal costs. In this study, fly ash and desulfurized sludge were used as raw materials, and sludge was used to replace desulfurized gypsum to prepare aerated concrete blocks. Results showed that sludge could completely replace gypsum, improving the mechanical properties and pore structure as sludge content increased. SEM-EDS and XRD analyses confirmed that tobermorite was the primary hydration product, with sludge promoting its crystallization. The optimal formulation included a water-to-solid ratio of 0.65, a calcium-to-silicon ratio of 30:65, 8% sludge content, a cement-lime ratio of 1:1, 1‰ aluminum powder, and 0.5‰ stabilizer. The aerated concrete blocks produced had a compressive strength of 4.4 MPa, dry density of 534.15 kg/m<sup>3</sup>, and met the B06A3.5 standard, with good durability and high safety. These blocks were harmless building materials, with an annual economic benefit of 59.461 million RMB. This research can not only reduce the waste disposal costs of the energy industry, but also bring significant environmental and social benefits, and provide technical support for the sustainable development of the energy industry. The possibility of using desulfurized sludge in aerated concrete was studied.The effects of sludge incorporation on AAC hydration products and pore structure werePhysico-mechanical, hydration products, environmental impact, and economic cost of AAC are examined. The possibility of using desulfurized sludge in aerated concrete was studied. The effects of sludge incorporation on AAC hydration products and pore structure were Physico-mechanical, hydration products, environmental impact, and economic cost of AAC are examined.
DOI: 10.6084/m9.figshare.29041234.v1
title: Desulfurization sludge and fly ash in autoclaved aerated concrete blocks

description: Due to the high heavy metal content, desulfurization sludge is often treated as hazardous waste by power plants, leading to high disposal costs. In this study, fly ash and desulfurized sludge were used as raw materials, and sludge was used to replace desulfurized gypsum to prepare aerated concrete blocks. Results showed that sludge could completely replace gypsum, improving the mechanical properties and pore structure as sludge content increased. SEM-EDS and XRD analyses confirmed that tobermorite was the primary hydration product, with sludge promoting its crystallization. The optimal formulation included a water-to-solid ratio of 0.65, a calcium-to-silicon ratio of 30:65, 8% sludge content, a cement-lime ratio of 1:1, 1‰ aluminum powder, and 0.5‰ stabilizer. The aerated concrete blocks produced had a compressive strength of 4.4 MPa, dry density of 534.15 kg/m<sup>3</sup>, and met the B06A3.5 standard, with good durability and high safety. These blocks were harmless building materials, with an annual economic benefit of 59.461 million RMB. This research can not only reduce the waste disposal costs of the energy industry, but also bring significant environmental and social benefits, and provide technical support for the sustainable development of the energy industry. The possibility of using desulfurized sludge in aerated concrete was studied.The effects of sludge incorporation on AAC hydration products and pore structure werePhysico-mechanical, hydration products, environmental impact, and economic cost of AAC are examined. The possibility of using desulfurized sludge in aerated concrete was studied. The effects of sludge incorporation on AAC hydration products and pore structure were Physico-mechanical, hydration products, environmental impact, and economic cost of AAC are examined.
DOI: 10.6084/m9.figshare.28723218
title: Unlocking the synergy: Thermochemical behavior and kinetics in the co-combustion of coal gangue and wheat straw

description: Co-combustion of coal gangue (CG) and biowaste, such as wheat straw (WS), offers a sustainable approach to waste valorization and emissions reduction. However, the combustion characteristics of CG in the presence of WS have been insufficiently explored. This study investigates the co-combustion behavior of CG, WS, and their mixtures at five different ratios using a thermogravimetric analyzer (TGA). The results reveal that the addition of WS significantly lowers both the ignition and burnout temperatures of CG. Pure CG exhibits ignition and burnout temperatures of 474.4°C and 770.2°C, respectively, while CG/WS blends show reduced temperatures of 255.6–267.9°C for ignition and 608.9–710.5°C for burnout. A pronounced synergistic interaction occurs mainly between 200 and 600°C during the co-combustion process. Kinetic analysis demonstrates that WS addition substantially decreases the apparent activation energy of the blends, from 75.41 kJ mol<sup>−1</sup> for CG to 34.14 kJ mol<sup>−1</sup> for the blend with 20% WS. The findings such as the reduced ignition and burnout temperatures, and lower activation energy indicate that CG/WS co-combustion can significantly improve combustion behaviors. Hence, this study provides valuable insights into the thermochemical behavior and kinetics of CG/WS co-firing, promoting the optimal utilization of biomass-coal waste for efficient energy production in industrial applications while offering waste-to-energy solutions.
DOI: 10.6084/m9.figshare.28723218.v1
title: Unlocking the synergy: Thermochemical behavior and kinetics in the co-combustion of coal gangue and wheat straw

description: Co-combustion of coal gangue (CG) and biowaste, such as wheat straw (WS), offers a sustainable approach to waste valorization and emissions reduction. However, the combustion characteristics of CG in the presence of WS have been insufficiently explored. This study investigates the co-combustion behavior of CG, WS, and their mixtures at five different ratios using a thermogravimetric analyzer (TGA). The results reveal that the addition of WS significantly lowers both the ignition and burnout temperatures of CG. Pure CG exhibits ignition and burnout temperatures of 474.4°C and 770.2°C, respectively, while CG/WS blends show reduced temperatures of 255.6–267.9°C for ignition and 608.9–710.5°C for burnout. A pronounced synergistic interaction occurs mainly between 200 and 600°C during the co-combustion process. Kinetic analysis demonstrates that WS addition substantially decreases the apparent activation energy of the blends, from 75.41 kJ mol<sup>−1</sup> for CG to 34.14 kJ mol<sup>−1</sup> for the blend with 20% WS. The findings such as the reduced ignition and burnout temperatures, and lower activation energy indicate that CG/WS co-combustion can significantly improve combustion behaviors. Hence, this study provides valuable insights into the thermochemical behavior and kinetics of CG/WS co-firing, promoting the optimal utilization of biomass-coal waste for efficient energy production in industrial applications while offering waste-to-energy solutions.
DOI: 10.6084/m9.figshare.16550017.v2
title: Synthesis of sulfonated mesoporous carbon from <i>Calophyllum inophyllum</i> oil cake as heterogeneous transesterification catalyst for biodiesel production: a process optimization study

description: To address the concern of depleting resources and forge ahead toward sustainability, new renewable materials are being explored for multifarious applications. In this present study, sulfonated mesoporous carbon was synthesized using <i>Calophyllum inophyllum</i> oil cake by the process of carbonization, hydrothermal treatment, and KOH activation. Sulfonation of mesoporous carbon was characterized by BET, SEM, TEM, and FTIR. N<sub>2</sub> gas adsorption-desorption studies were performed with the synthesized solid sulfonated catalyst and the total surface area, average pore volume, and diameter were estimated to be 618.3 m<sup>2</sup> /g, 0.72 cm<sup>3</sup> /g, and 5.27 nm respectively. The activated mesoporous carbon was then used in the catalysis of the transesterification reaction using <i>Calophyllum inophyllum</i> oil as a reactant. Finally, the biodiesel yield was found to be 93.2% with methanol: oil molar ratio of 1:14, the temperature of reaction 60°C, and 1.5 (wt %) of mesoporous catalyst.
DOI: 10.6084/m9.figshare.14575143
title: Optimization of performance and emission characteristics of compression ignition engine powered with Azolla pinnata fuel blends – A response surface methodology approach

description: Biodiesels possess enhanced emission characteristics in comparison with neat diesel; therefore, biodiesel can be considered as a substitute for diesel and if blended with diesel, gives enhanced performance characteristics. In this study, tests on the performance of engine were carried out at a different number of nozzle holes (HN), the weight percentage of blends, and loads with the main focus to identify the optimal process parameter which minimizes Brake Specific Energy Consumption (BSEC), maximize Brake Thermal Efficiency (BTE), and minimize emission parameters like smoke, Carbon monoxide (CO), Hydrocarbon (HC), and Nitrogen oxides (NO<sub>x</sub>). The design of the experiment was based on the RSM Design of experiments. Using the RSM desirability function, process parameters are optimized for better performance. The influence of process parameters on responses is investigated using analysis of variance (ANOVA). Blending ratio has the maximum percentage contribution of 47.64% and 61.04% for BSEC and NO<sub>x</sub>, the load has the maximum percentage contribution of 39.69% and 65.12% for BTE and smoke, respectively, HN has a maximum percentage contribution of 80.6% and 56.41% for CO and HC, respectively. The optimal parameters of six holes in the fuel injector, 20% of biofuel with 80% of diesel, and 65% of load are identified.
DOI: 10.6084/m9.figshare.14575143.v1
title: Optimization of performance and emission characteristics of compression ignition engine powered with Azolla pinnata fuel blends – A response surface methodology approach

description: Biodiesels possess enhanced emission characteristics in comparison with neat diesel; therefore, biodiesel can be considered as a substitute for diesel and if blended with diesel, gives enhanced performance characteristics. In this study, tests on the performance of engine were carried out at a different number of nozzle holes (HN), the weight percentage of blends, and loads with the main focus to identify the optimal process parameter which minimizes Brake Specific Energy Consumption (BSEC), maximize Brake Thermal Efficiency (BTE), and minimize emission parameters like smoke, Carbon monoxide (CO), Hydrocarbon (HC), and Nitrogen oxides (NO<sub>x</sub>). The design of the experiment was based on the RSM Design of experiments. Using the RSM desirability function, process parameters are optimized for better performance. The influence of process parameters on responses is investigated using analysis of variance (ANOVA). Blending ratio has the maximum percentage contribution of 47.64% and 61.04% for BSEC and NO<sub>x</sub>, the load has the maximum percentage contribution of 39.69% and 65.12% for BTE and smoke, respectively, HN has a maximum percentage contribution of 80.6% and 56.41% for CO and HC, respectively. The optimal parameters of six holes in the fuel injector, 20% of biofuel with 80% of diesel, and 65% of load are identified.
DOI: 10.6084/m9.figshare.16550017
title: Synthesis of sulfonated mesoporous carbon from <i>Calophyllum inophyllum</i> oil cake as heterogeneous transesterification catalyst for biodiesel production: a process optimization study

description: To address the concern of depleting resources and forge ahead toward sustainability, new renewable materials are being explored for multifarious applications. In this present study, sulfonated mesoporous carbon was synthesized using <i>Calophyllum inophyllum</i> oil cake by the process of carbonization, hydrothermal treatment, and KOH activation. Sulfonation of mesoporous carbon was characterized by BET, SEM, TEM, and FTIR. N<sub>2</sub> gas adsorption-desorption studies were performed with the synthesized solid sulfonated catalyst and the total surface area, average pore volume, and diameter were estimated to be 618.3 m<sup>2</sup> /g, 0.72 cm<sup>3</sup> /g, and 5.27 nm respectively. The activated mesoporous carbon was then used in the catalysis of the transesterification reaction using <i>Calophyllum inophyllum</i> oil as a reactant. Finally, the biodiesel yield was found to be 93.2% with methanol: oil molar ratio of 1:14, the temperature of reaction 60°C, and 1.5 (wt %) of mesoporous catalyst.
DOI: 10.6084/m9.figshare.15112366
title: Location and investment factors of hydropower plants

description: Location and investment selection features lakes of hydropower plant investments are presented in a proposed expert, event, and data-driven fact-based robot and platform. The traditional magical number 4 scale is tested in simple natural language process clustering at sub-factors, factors, main factors, and metafactors. The traditional Decision-Making Trial and Evaluation Laboratory methodology is tested in complex mathematical natural language process clustering at top metafactors as Political, Economic, Social, and Technological with its extensions. Nine presumptive logarithmic learning curve functions as experience curves are modeled considering time-domain effects. The functions with 0,1; 0,5; and 0,9 learning rates are tested in the current models. They cover almost the whole possibility space. Weighted arithmetic mean and weighted geometric mean as group decision-making approximation methods are tested for decision aggregation on the time domain. In the end, six clustering configurations are compared with each other at the top metafactors level. Six top metafactors, 12 metafactors, 27 main factors, 114 factors, and 10,612 sub-factors are found and clustered in location selection features. There are 11 hierarchical levels. Two top metafactors, five metafactors, 42 main factors, 136 factors, and 4276 sub-factors are found and clustered in investment selection features. There are 10 hierarchical levels.
DOI: 10.6084/m9.figshare.15112366.v1
title: Location and investment factors of hydropower plants

description: Location and investment selection features lakes of hydropower plant investments are presented in a proposed expert, event, and data-driven fact-based robot and platform. The traditional magical number 4 scale is tested in simple natural language process clustering at sub-factors, factors, main factors, and metafactors. The traditional Decision-Making Trial and Evaluation Laboratory methodology is tested in complex mathematical natural language process clustering at top metafactors as Political, Economic, Social, and Technological with its extensions. Nine presumptive logarithmic learning curve functions as experience curves are modeled considering time-domain effects. The functions with 0,1; 0,5; and 0,9 learning rates are tested in the current models. They cover almost the whole possibility space. Weighted arithmetic mean and weighted geometric mean as group decision-making approximation methods are tested for decision aggregation on the time domain. In the end, six clustering configurations are compared with each other at the top metafactors level. Six top metafactors, 12 metafactors, 27 main factors, 114 factors, and 10,612 sub-factors are found and clustered in location selection features. There are 11 hierarchical levels. Two top metafactors, five metafactors, 42 main factors, 136 factors, and 4276 sub-factors are found and clustered in investment selection features. There are 10 hierarchical levels.
DOI: 10.6084/m9.figshare.16550017.v1
title: Synthesis of sulfonated mesoporous carbon from <i>Calophyllum inophyllum</i> oil cake as heterogeneous transesterification catalyst for biodiesel production: a process optimization study

description: To address the concern of depleting resources and forge ahead toward sustainability, new renewable materials are being explored for multifarious applications. In this present study, sulfonated mesoporous carbon was synthesized using <i>Calophyllum inophyllum</i> oil cake by the process of carbonization, hydrothermal treatment, and KOH activation. Sulfonation of mesoporous carbon was characterized by BET, SEM, TEM, and FTIR. N<sub>2</sub> gas adsorption-desorption studies were performed with the synthesized solid sulfonated catalyst and the total surface area, average pore volume, and diameter were estimated to be 618.3 m<sup>2</sup> /g, 0.72 cm<sup>3</sup> /g, and 5.27 nm respectively. The activated mesoporous carbon was then used in the catalysis of the transesterification reaction using <i>Calophyllum inophyllum</i> oil as a reactant. Finally, the biodiesel yield was found to be 93.2% with methanol: oil molar ratio of 1:14, the temperature of reaction 60°C, and 1.5 (wt %) of mesoporous catalyst.