cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cs3fbf
title: Occurrence Download

description: A dataset containing 8929 species occurrences available in GBIF matching the query:
{
 "or" : [
 "DatasetKey is Live benthic foraminifera in South Atlantic surface sediments",
 "DatasetKey is Macro benthos in surface sediments sampled during POLARSTERN cruise ANT-XXIII/8",
 "DatasetKey is Mega benthos in surface sediments sampled during POLARSTERN cruise ANT-XXIII/8",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-03-5",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-04-5",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-05-6",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-06-8",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-07-8",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-08-2",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-09-1",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-10-10",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-11-1",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-12-2",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-13-2",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-14-3",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-03-16-1",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-08-02-10",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-08-03-3",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-08-04-5",
 "DatasetKey is Microzooplankton abundance and biomass at station NBP97-08-05-1"
 ]
}

 The dataset includes 8929 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003252-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9efaxe
title: Occurrence Download

description: A dataset listing the 13148 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON (((-74.15000000000001 -11.4, -74.34999999999999 -11.25, -74.5 -11.5, -74.45 -11.35, -74.75 -11.2, -74.55 -11.2, -74.55 -11.05, -74.95 -11, -74.84999999999999 -10.8, -74.7 -11, -74.45 -10.95, -74.45 -11.15, -73.84999999999999 -11.15, -73.84999999999999 -10.85, -74.2 -10.55, -74.2 -9.949999999999999, -74.40000000000001 -10, -74.59999999999999 -9.449999999999999, -74.75 -9.449999999999999, -74.75 -9.699999999999999, -74.65000000000001 -9.6, -74.55 -9.85, -74.65000000000001 -10.2, -74.55 -10.55, -74.84999999999999 -10.7, -75.05 -10.45, -75.15000000000001 -10.6, -75.3 -10.35, -75.40000000000001 -10.4, -75.34999999999999 -10.1, -75.59999999999999 -9.699999999999999, -75.45 -9.550000000000001, -75.7 -9.449999999999999, -75.5 -9.35, -75.65000000000001 -9.35, -75.59999999999999 -9.050000000000001, -75.8 -8.9, -75.59999999999999 -8.800000000000001, -75.8 -8.75, -75.7 -8.5, -75.84999999999999 -8.550000000000001, -75.8 -7.8, -76.05 -7.8, -76.2 -7.45, -75.95 -7.05, -76.05 -6.8, -75.5 -6.75, -75.55 -6.3, -75.34999999999999 -6.35, -75.45 -6.6, -75.15000000000001 -6.7, -75.3 -6.8, -75.2 -6.95, -75.34999999999999 -7, -75.34999999999999 -7.25, -75.55 -7.2, -75.55 -7.45, -75.34999999999999 -7.5, -75.34999999999999 -7.85, -75.2 -7.8, -75 -8, -75.05 -8.15, -74.90000000000001 -8.15, -75.09999999999999 -8.25, -75.09999999999999 -8.449999999999999, -74.84999999999999 -8.35, -74.75 -8.65, -74.59999999999999 -8.65, -74.65000000000001 -8.949999999999999, -74.5 -8.9, -74.3 -9.800000000000001, -73.8 -9.800000000000001, -74.09999999999999 -9.699999999999999, -74.25 -9.35, -74.25 -9.050000000000001, -73.90000000000001 -8.949999999999999, -74.05 -8.550000000000001, -73.95 -8.35, -74.2 -8.449999999999999, -74.3 -8.199999999999999, -74.15000000000001 -8.1, -74.5 -8.1, -74.55 -7.85, -74.7 -7.9, -74.84999999999999 -7.55, -75 -7.55, -75 -7.25, -75.15000000000001 -7.25, -74.95 -6.95, -74.75 -6.95, -74.55 -6.5, -74.45 -6.7, -74.59999999999999 -7.15, -73.7 -7.75, -73.75 -7.95, -73.5 -8.1, -73.5 -8.4, -72.95 -8.949999999999999, -73.3 -9.65, -73.05 -9.949999999999999, -73.15000000000001 -10.15, -72.55 -10.25, -72.40000000000001 -10.45, -72.45 -10.9, -72.09999999999999 -11.15, -72.40000000000001 -11.65, -72.34999999999999 -11.95, -72.65000000000001 -11.9, -72.75 -12.4, -73.09999999999999 -12.4, -72.90000000000001 -12.3, -73.09999999999999 -12.2, -73.3 -11.7, -73.65000000000001 -11.3, -73.8 -11.4, -73.8 -11.2, -74.15000000000001 -11.4)), ((-74.15000000000001 -11.4, -73.90000000000001 -11.7, -73.75 -11.85, -73.8 -12.1, -74.09999999999999 -12.25, -74.15000000000001 -11.4)))",
 "HasCoordinate is true",
 "Year is greater than or equal to 1960",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 13148 records were derived from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049397-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6yjve
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thibaudia dolichandra Maguire, Steyerm. & Luteyn"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194675-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8omcu
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia marschalliana Spreng."
 ]
}

 The dataset includes 40 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003252-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncr3ad
title: Occurrence Download

description: A dataset containing 2776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aproceros leucopoda Takeuchi, 1939",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2776 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048229-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5othn
title: Occurrence Download

description: A dataset containing 67171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-29 28,46 28,46 77,-29 77,-29 28))",
 "HasCoordinate is true",
 "TaxonKey is Arnica montana L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 67171 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035298-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dkvkw
title: Occurrence Download

description: A dataset containing 2576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Benin, Senegal, Burkina Faso, Togo, Côte d’Ivoire, Mali, Niger, Nigeria, Ghana, Guinea, Guinea-Bissau, Gambia, Cabo Verde, Liberia, Sierra Leone)",
 "OccurrenceStatus is Present",
 "TaxonKey is Strychnos spinosa",
 "Year 1980-2025"
 ]
}

 The dataset includes 2576 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027285-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gt7nnb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene pendula",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027286-250827131500795/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.30057838.v1
title: Metagenomic workshop data

description: Data for metagenomics workshop<br>
DOI: 10.15468/dl.92xahs
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene pendula",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 165 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027287-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hsjvg
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratophrys cranwelli"
 ]
}

 The dataset includes 424 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027288-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ea9ge
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene pendula",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027289-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/39ckdr8w2n
title: Insights into Leveraging Alga–Bacterium Cooperation for Dairy Wastewater Valorization

description: The integration of microalgae-bacteria consortia into wastewater treatment offers a promising strategy for sustainable biomass production and bioremediation. This study investigates the performance of Chlamydomonas reinhardtii in consortium with Serratia liquefaciens DWW128, isolated from raw dairy wastewater (DWW). The consortium, and respective monocultures were cultivated in both untreated, raw DWW and sterile, simulated DWW (sDWW). C. reinhardtii alone exhibited negligible growth in sDWW, while the native microbial community of raw DWW supported its growth (35.2 µg·mL⁻¹ chlorophyll and 1.6 g·L⁻¹ of biomass). However, native microorganisms also negatively affect the alga by limiting its maximum growth compared to cocultures with S. liquefaciens in raw DWW (53.2 µg·mL⁻¹ chlorophyll, 3.1 g·L⁻¹ biomass) and in sDWW (90 µg·mL⁻¹ chlorophyll, 7.1 g·L⁻¹ biomass). The enhancement of algal growth is more pronounced under aerobic conditions, and the supply of ammonium through bacterial proteolytic activity, and possibly also acetic acid, are key factors for algal growth. Cocultures can reduce up to 57.6 % of the bacterial CO2 emissions. In contrast, S. liquefaciens did not depend on C. reinhardtii to grow successfully in DWW and can produce a substantial amount of bioH2 (200.7 mL·L-1) in 48 h. However, the presence of the alga enhances the bacterium´s viability and persistence. This study provides valuable insights into harnessing the metabolic specialization of diverse microalgal and bacterial species to design tailored consortia capable of exploiting the broad spectrum of nutrient sources in wastewater, enabling more robust and effective biotechnological applications
DOI: 10.17632/39ckdr8w2n.1
title: Insights into Leveraging Alga–Bacterium Cooperation for Dairy Wastewater Valorization

description: The integration of microalgae-bacteria consortia into wastewater treatment offers a promising strategy for sustainable biomass production and bioremediation. This study investigates the performance of Chlamydomonas reinhardtii in consortium with Serratia liquefaciens DWW128, isolated from raw dairy wastewater (DWW). The consortium, and respective monocultures were cultivated in both untreated, raw DWW and sterile, simulated DWW (sDWW). C. reinhardtii alone exhibited negligible growth in sDWW, while the native microbial community of raw DWW supported its growth (35.2 µg·mL⁻¹ chlorophyll and 1.6 g·L⁻¹ of biomass). However, native microorganisms also negatively affect the alga by limiting its maximum growth compared to cocultures with S. liquefaciens in raw DWW (53.2 µg·mL⁻¹ chlorophyll, 3.1 g·L⁻¹ biomass) and in sDWW (90 µg·mL⁻¹ chlorophyll, 7.1 g·L⁻¹ biomass). The enhancement of algal growth is more pronounced under aerobic conditions, and the supply of ammonium through bacterial proteolytic activity, and possibly also acetic acid, are key factors for algal growth. Cocultures can reduce up to 57.6 % of the bacterial CO2 emissions. In contrast, S. liquefaciens did not depend on C. reinhardtii to grow successfully in DWW and can produce a substantial amount of bioH2 (200.7 mL·L-1) in 48 h. However, the presence of the alga enhances the bacterium´s viability and persistence. This study provides valuable insights into harnessing the metabolic specialization of diverse microalgal and bacterial species to design tailored consortia capable of exploiting the broad spectrum of nutrient sources in wastewater, enabling more robust and effective biotechnological applications
DOI: 10.17632/n2dd3gmkvx
title: Genetic diversity dataset on yield and yield contributing traits of cultivated soybean germplasm of Bangladesh

description: In Bangladesh, soybeans have been cultivated as a multipurpose crop. Researchers have been collecting soybean germplasm from different countries and trying to adapt it to the Bangladesh ecosystem to increase its production. However, there is a need to analyze the genetic diversity of existing genotypes to efficiently use them as parents in breeding programs for the improvement of soybean. An experiment was conducted using a randomized complete block design with five replications to estimate genetic variability and to analyze the correlation and path coefficient between yield and its components in 275 cultivated soybean genotypes. Soybean genotypes were planted in an open field during the winter season, and data were collected based on 13 agronomic parameters. Analysis of variance for yield and yield contributing traits showed significant (p&lt;0.01) variation among the genotypes for all the studied traits. Results of genetic analyses showed a higher phenotypic coefficient of variation compared to their corresponding genotypic coefficient of variation for all the traits measured, which indicates that the environment influenced the traits to some extent. High heritability along with high genetic advance and genetic advance as percentage of mean were found for plant height, yield per plant, number of pods per plant, and number of seeds per plant, indicated the scope of improvement for these characters. Yield per plant showed a significant positive correlation with the biomass (0.06048), plant height (0.05414), number of branches per plant (0.03298), number of pods per plant (0.61212), pod length (0.01629), number of seeds per plant (0.1689) and 1000-seed weight (0.28704) whereas it showed a non-significant positive correlation with pod length. In contrast, yield per plant showed a negative correlation with the days to maturity, number of nodes per plant, seed length, and seed breath. Path coefficient analysis showed that the number of pods per plant had the highest (0.61212) positive direct effect on yield per plant, followed by the number of seeds per plant, days maturity, number of branches per plant, 1000-seed weight, plant height, and pod length. The study's comprehensive findings identified GPB 181, GPB 80, GPB 128, and GPB 262 as top-performing soybean genotypes. These promising genotypes may serve as parental materials for developing better soybean varieties, emphasizing the potential for maximizing production in surrounding environments. Therefore, the number of pods per plant and seeds per plant could be considered as important selection criteria for yield improvement in soybeans.
DOI: 10.17632/n2dd3gmkvx.1
title: Genetic diversity dataset on yield and yield contributing traits of cultivated soybean germplasm of Bangladesh

description: In Bangladesh, soybeans have been cultivated as a multipurpose crop. Researchers have been collecting soybean germplasm from different countries and trying to adapt it to the Bangladesh ecosystem to increase its production. However, there is a need to analyze the genetic diversity of existing genotypes to efficiently use them as parents in breeding programs for the improvement of soybean. An experiment was conducted using a randomized complete block design with five replications to estimate genetic variability and to analyze the correlation and path coefficient between yield and its components in 275 cultivated soybean genotypes. Soybean genotypes were planted in an open field during the winter season, and data were collected based on 13 agronomic parameters. Analysis of variance for yield and yield contributing traits showed significant (p&lt;0.01) variation among the genotypes for all the studied traits. Results of genetic analyses showed a higher phenotypic coefficient of variation compared to their corresponding genotypic coefficient of variation for all the traits measured, which indicates that the environment influenced the traits to some extent. High heritability along with high genetic advance and genetic advance as percentage of mean were found for plant height, yield per plant, number of pods per plant, and number of seeds per plant, indicated the scope of improvement for these characters. Yield per plant showed a significant positive correlation with the biomass (0.06048), plant height (0.05414), number of branches per plant (0.03298), number of pods per plant (0.61212), pod length (0.01629), number of seeds per plant (0.1689) and 1000-seed weight (0.28704) whereas it showed a non-significant positive correlation with pod length. In contrast, yield per plant showed a negative correlation with the days to maturity, number of nodes per plant, seed length, and seed breath. Path coefficient analysis showed that the number of pods per plant had the highest (0.61212) positive direct effect on yield per plant, followed by the number of seeds per plant, days maturity, number of branches per plant, 1000-seed weight, plant height, and pod length. The study's comprehensive findings identified GPB 181, GPB 80, GPB 128, and GPB 262 as top-performing soybean genotypes. These promising genotypes may serve as parental materials for developing better soybean varieties, emphasizing the potential for maximizing production in surrounding environments. Therefore, the number of pods per plant and seeds per plant could be considered as important selection criteria for yield improvement in soybeans.
DOI: 10.15468/dl.ejbrny
title: Occurrence Download

description: A dataset containing 36378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Opiliones"
 ]
}

 The dataset includes 36378 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027291-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tp7f2z44wd.1
title: Effect of desulfurization gypsum on dissolution kinetics and phase evolution in the alkali-activated steel slag–fly ash system

description: To address the issue of limited large-scale application due to the unclear action mechanism of desulfurization gypsum (DG) in alkali-activated systems, this study utilizes steel slag (SS)-fly ash (FA) as the precursor to investigate the influence of DG on the dissolution kinetics, macroscopic properties, phase evolution, and reaction pathways of this alkali-activated system. The results demonstrate that DG can rapidly dissolve in an alkaline environment, releasing Ca²⁺ and SO₄²⁻. It not only directly participates in the formation of Ettringite but also alleviates the mismatch in reaction rates between SS and FA by adjusting the Ca/Si and Al/Si ratios of the system. Under composite alkali activation conditions, an appropriate amount of DG can significantly enhance reaction kinetics, elevating the 28-day compressive strength of the system to 22.4 MPa and shortening the initial and final setting times by over 55 minutes. However, excessive DG leads to sluggish late-stage strength development due to excessive Ettringite deposition and residual gypsum. Phase analysis reveals that an appropriate amount of DG can maintain the Ca/Si ratio of C-(A)-S-H gel within the range of 0.8-1.3 and increase the Si/Al ratio to 2.0-3.1, significantly enhancing the polymerization degree and structural density of the gel. In the absence of DG, the reaction pathway of the system is primarily dominated by alkali-activated gelation, while an appropriate amount of DG leads to sulfate-activated ettringite crystallization as the dominant pathway. Furthermore, through hydration kinetics analysis, the exponential function model proposed in this paper can more accurately describe the hydration heat release behavior of the system, particularly in reflecting the characteristic of reaction rate decay over time. This study provides a theoretical basis for the high-value utilization of desulfurization gypsum in solid waste-based cementitious materials.
DOI: 10.17632/jjzndgh4p8
title: Urban Tourism Economy

description: This study explores AI's impact on urban tourism economies, showing it enhances service quality, optimizes resources, and boosts growth via innovation and GDP increases. AI-driven smart systems and big data improve experiences, foster innovation in cultural and ecological sectors, and diversify tourism. Eastern and central cities benefit most, while western regions face infrastructure constraints. Using mediation models and double machine learning, the study validates AI's direct and indirect effects, offering insights for integrating AI into urban tourism.
DOI: 10.17632/jjzndgh4p8.1
title: Urban Tourism Economy

description: This study explores AI's impact on urban tourism economies, showing it enhances service quality, optimizes resources, and boosts growth via innovation and GDP increases. AI-driven smart systems and big data improve experiences, foster innovation in cultural and ecological sectors, and diversify tourism. Eastern and central cities benefit most, while western regions face infrastructure constraints. Using mediation models and double machine learning, the study validates AI's direct and indirect effects, offering insights for integrating AI into urban tourism.
DOI: 10.6084/m9.figshare.30057838
title: Metagenomic workshop data

description: Data for metagenomics workshop<br>
DOI: 10.6084/m9.figshare.30057838.v3
title: Metagenomic workshop data

description: Data for metagenomics workshop<br>
DOI: 10.6084/m9.figshare.30057838.v2
title: Metagenomic workshop data

description: Data for metagenomics workshop<br>
DOI: 10.17632/fkxzr6y9vz
title: LINF_260029500

description: Pmp4-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fkxzr6y9vz.1
title: LINF_260029500

description: Pmp4-like protein; Leishmania infantum (strain JPCM5)