cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15138949
title: Table 3 in Hungry scale worms Phylogenetics of Peinaleopolynoe (Polynoidae, Annelida), with four new species

description: Table 3. List of primers used for amplification and sequencing, with original references.
GenePrimer name & directionPrimer sequence (5 ’-3’ direction)SourceCOILCO1490 (F)GGTCAACAAATCATAAAGATATTGGFolmer et al. (1994)COIHCO2198 (R)TAAACTTCAGGGTGACCAAAAAATCAFolmer et al. (1994)16S16SarL (F)CGCCTGTTTATCAAAAACATPalumbi (1996)16S16SbrH (R)CCGGTCTGAACTCAGATCACGTPalumbi (1996)18S18S-1F (F)TACCTGGTTGATCCTGCCAGTAGGiribet et al. (1996)18S18S-5R (R)CTTGGCAAATGCTTTCGCGiribet et al. (1996)18S18S-3F (F)GTTCGATTCCGGAGAGGGAGiribet et al. (1996)18S18S-bi (R)GAGTCTCGTTCGTTATCGGAWhiting et al. (1997)18S18S-a2.0 (F)ATGGTTGCAAAGCTGAAACWhiting et al. (1997)18S18S-9R (R)GATCCTTCCGCAGGTTCACCTACGiribet et al. (1996)28SPo28F1 (F)TAAGCGGAGGAAAAGAAACStruck et al. (2006)28SPo28R4 (R)GTTCACCATCTTTCGGGTCCCAACStruck et al. (2006)H3H3F (F)ATGGCTCGTACCAAGCAGAC(ACG)GCColgan et al. (1998)H3H3R (R)ATATCCTT(AG)GGCAT(AG)AT(AG)GTGACColgan et al. (1998)CytBCytB-52F (F)TCCCTTATTGATCTTCCTGCCThis studyCytBCytB-649R (R)CAGAGTTTGAGTTTAGTCCTAAAGGThis studyCytBCytB-62F (F)ACCTTCCTGCCCCTAGTAATThis studyCytBCytB-664R (R)GGAAGGGGATTTTATCTGAGTTTGThis studyCytBCytB-487F (F)GAATGATTATGAGGAGGATTTGCCThis studyCytBCytB-1077R (R)GTAAAGAAGGGTAAAGATTTGGCCThis study
description: Published as part of Hatch, Avery S., Liew, Haebin, Hourdez, Stephane & Rouse, Greg W., 2020, Hungry scale worms Phylogenetics of Peinaleopolynoe (Polynoidae, Annelida), with four new species, pp. 27 in ZooKeys 932 on page 27, DOI: 10.3897/zookeys.932.48532
DOI: 10.5281/zenodo.15138950
title: Table 4 in Hungry scale worms Phylogenetics of Peinaleopolynoe (Polynoidae, Annelida), with four new species

description: Table 4. Minimum uncorrected interspecific pairwise distances for Peinaleopolynoe spp. COI data, generated with PAUP* v. 4.0. The maximum uncorrected intraspecific COI distances are shown as the bold diagonal. Distances marked with asterisk are discussed in the text.
1234561.P. mineoi sp. nov.0.00440-----2.P. santacatalina0.168440.00709----3.P. elvisi sp. nov.0.165200.176740.01357---4.P. sillardi0.186930.196360.16878---5.P. goffrediae sp. nov.0.17570*0.156590.156800.174230.00000-6.P. orphanae sp. nov.0.18634*0.151940.161700.181490.12645*0.01458
description: Published as part of Hatch, Avery S., Liew, Haebin, Hourdez, Stephane & Rouse, Greg W., 2020, Hungry scale worms Phylogenetics of Peinaleopolynoe (Polynoidae, Annelida), with four new species, pp. 27 in ZooKeys 932 on page 27, DOI: 10.3897/zookeys.932.48532
DOI: 10.5281/zenodo.15138951
title: Table 4 in Hungry scale worms Phylogenetics of Peinaleopolynoe (Polynoidae, Annelida), with four new species

description: Table 4. Minimum uncorrected interspecific pairwise distances for Peinaleopolynoe spp. COI data, generated with PAUP* v. 4.0. The maximum uncorrected intraspecific COI distances are shown as the bold diagonal. Distances marked with asterisk are discussed in the text.
1234561.P. mineoi sp. nov.0.00440-----2.P. santacatalina0.168440.00709----3.P. elvisi sp. nov.0.165200.176740.01357---4.P. sillardi0.186930.196360.16878---5.P. goffrediae sp. nov.0.17570*0.156590.156800.174230.00000-6.P. orphanae sp. nov.0.18634*0.151940.161700.181490.12645*0.01458
description: Published as part of Hatch, Avery S., Liew, Haebin, Hourdez, Stephane & Rouse, Greg W., 2020, Hungry scale worms Phylogenetics of Peinaleopolynoe (Polynoidae, Annelida), with four new species, pp. 27 in ZooKeys 932 on page 27, DOI: 10.3897/zookeys.932.48532
DOI: 10.57841/casdc.0004241
title: 玉米新品种“科育192”审定证书及相关材料
DOI: 10.5281/zenodo.13860022
title: Oligocene-Miocene (24-21 Ma) biogenic carbonate (coccolith and benthic foraminifera) biometry in the South China Sea

description: The spreadsheets include main datasets for the carbonate micro and nannofossil analysis from IODP Site U1505 in the northern South China Sea, covering approximately 24-21 Ma:



Coccolith assemblage data;

Organic carbon content and isotope analysis;

Calculated alkalinity flux;

Benthic formainifera shell weight;

Coccolith morphometry;

Coccolith Sr/Ca ratio;

Age model used in the publication.


The compressed files integrate the figures coccolith cuts from 100 samples (around 8,000 images in total) and 38 samples examined for benthic foraminiferal preservation (Cibicidoides mundulus). The dataset is complemented by:



Photographs of C. mundulus tests with marked length measurements;

Raw data of coccolith morphometry;

Cuts of all the measured coccolith.
DOI: 10.15468/dl.rkbkv6
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((109.45 29.05,110.72 29.05,110.72 30.31,109.45 30.31,109.45 29.05))",
 "OccurrenceStatus is Present",
 "TaxonKey is Cecropis daurica (Laxmann, 1769)"
 ]
}

 The dataset includes 37 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035687-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxedkg
title: Occurrence Download

description: A dataset containing 215276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mollusca",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 215276 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035676-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ykhpn
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (PHL.55_1, PHL.60_1, PHL.76_1, PHL.17_1, PHL.8_1, PHL.10_1, PHL.78_1)",
 "TaxonKey is Scotophilus kuhlii Leach, 1821",
 "Year 2000-2024"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035688-241126133413365/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.26860834
title: Population structure impacts the relationship between the amount of environmental DNA particles and organism abundance

description: 1. To achieve the precise estimation of organism abundance using environmental DNA (eDNA) analysis, factors affecting the relationship between the amount of eDNA particles and organism abundance should be understood. Wild populations often exhibit a broad range of individual density and body size structure, which can affect the population-level eDNA production. However, it remains unknown how the eDNA-abundance relationship is linked to such population characteristics.2. This study conducted a numerical simulation to assess the effects of population size and structure on the relationship between the amount of eDNA particles and population abundance. The simulation results were further compared between different abundance metrics (biomass or allometric scaled mass [ASM]) and eDNA production scenarios (linear or allometric relationship with body mass).3. The strength of the eDNA-abundance relationship (<i>R</i><sup><em>2</em></sup> value in linear regression) was positively associated with the factors determining the number of individuals, mean body mass, and mass variation in each site. The <i>R</i><sup><em>2</em></sup> values were generally higher by using ASM than biomass when eDNA production was scaled allometrically with body mass, but rather lower when eDNA production was scaled linearly with body mass.4. These factors also formed complex interactions on the eDNA-abundance relationship. The mean body mass and mass variation interactively increased the <i>R</i><sup><em>2</em></sup> value. On the other hand, under the allometric eDNA production, the <i>R</i><sup><em>2</em></sup> values decreased for the populations with broader population size range and broader/heterogeneous mass distribution by using biomass, which was not statistically significant by using ASM.5. <i>Synthesis and applications</i>: The present simulation demonstrated that the strength of the eDNA-abundance relationship complicatedly relied on the population size and structure. This study gives insights into explaining the uncertainties inherent in the eDNA-abundance relationship in the field, and underpins the importance of integrating allometric scaling into population-level eDNA production to improve the eDNA-based abundance estimation. To make the findings more valid and robust, further empirical studies are encouraged to examine how eDNA production is linked to organism’s physiology and ecology and whether eDNA production is scaled allometrically with body mass.
DOI: 10.6084/m9.figshare.26860834.v2
title: Population structure impacts the relationship between the amount of environmental DNA particles and organism abundance

description: 1. To achieve the precise estimation of organism abundance using environmental DNA (eDNA) analysis, factors affecting the relationship between the amount of eDNA particles and organism abundance should be understood. Wild populations often exhibit a broad range of individual density and body size structure, which can affect the population-level eDNA production. However, it remains unknown how the eDNA-abundance relationship is linked to such population characteristics.2. This study conducted a numerical simulation to assess the effects of population size and structure on the relationship between the amount of eDNA particles and population abundance. The simulation results were further compared between different abundance metrics (biomass or allometric scaled mass [ASM]) and eDNA production scenarios (linear or allometric relationship with body mass).3. The strength of the eDNA-abundance relationship (<i>R</i><sup><em>2</em></sup> value in linear regression) was positively associated with the factors determining the number of individuals, mean body mass, and mass variation in each site. The <i>R</i><sup><em>2</em></sup> values were generally higher by using ASM than biomass when eDNA production was scaled allometrically with body mass, but rather lower when eDNA production was scaled linearly with body mass.4. These factors also formed complex interactions on the eDNA-abundance relationship. The mean body mass and mass variation interactively increased the <i>R</i><sup><em>2</em></sup> value. On the other hand, under the allometric eDNA production, the <i>R</i><sup><em>2</em></sup> values decreased for the populations with broader population size range and broader/heterogeneous mass distribution by using biomass, which was not statistically significant by using ASM.5. <i>Synthesis and applications</i>: The present simulation demonstrated that the strength of the eDNA-abundance relationship complicatedly relied on the population size and structure. This study gives insights into explaining the uncertainties inherent in the eDNA-abundance relationship in the field, and underpins the importance of integrating allometric scaling into population-level eDNA production to improve the eDNA-based abundance estimation. To make the findings more valid and robust, further empirical studies are encouraged to examine how eDNA production is linked to organism’s physiology and ecology and whether eDNA production is scaled allometrically with body mass.
DOI: 10.6084/m9.figshare.26860834.v1
title: Jo_simulation_eDNA

description: Despite a consensus on the correlative relationship between eDNA concentration and organism abundance, precise and reliable abundance estimation using eDNA analysis is in its infancy, especially in nature. Previous studies suggested that eDNA production might depend on water temperature and is allometrically scaled with individual body mass, which may be useful to strengthen the eDNA-abundance relationship. Here, this study conducted a numerical simulation considering different scenarios regarding the temperature- and body mass-dependent eDNA production, demonstrating the positive effects of temperature on the strength and sensitivity of the eDNA-abundance relationship when eDNA production and degradation were temperature-dependent. Additionally, the extent of allometry in eDNA production and the type of abundance metrics had complex effects on the relationship. Although further efforts have to be required to integrate organism physiology into eDNA production, theorizing the eDNA-abundance relationship like this study will contribute to making eDNA signals more quantitative and reliable across ecosystems.
DOI: 10.15468/dl.78t737
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (tolima)",
 "TaxonKey is one of (Plethodontidae)"
 ]
 }
 ]
}

 The dataset's 5 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035686-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18170/dvn/ydyoiw
title: Household welfare loss from energy price crisis: Evidence from China

description: Household welfare loss from energy price crisis: Evidence from China
DOI: 10.15468/dl.s5ahz9
title: Occurrence Download

description: A dataset containing 3319221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0"
 ]
}

 The dataset includes 3319221 records from 375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035674-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w4rj5
title: Occurrence Download

description: A dataset containing 118480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalacrocorax carbo (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 118480 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035675-241126133413365/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.27165329
title: Assessing the biochemical and genotoxic effects of low intensity 2.45GHz microwave exposure on <i>Arabidopsis thaliana</i> plants

description: The electromagnetic waves of 2.45 GHz microwave frequency have become abundant in environments worldwide. This study assessed the short-term impact of low-intensity 2.45 GHz exposure on young <i>Arabidopsis thaliana</i> plants. The plants underwent a 48-hour exposure to continuous wave 2.45 GHz microwaves at a power density of 1.0 ± 0.1 W m<sup>−2</sup>. Experiments were conducted inside anechoic chambers. After the microwave exposure samples were subjected to morphological, genotoxicity, pigmentation, and physiochemical analysis. Microwave exposure elevated the levels of photosynthetic pigments, oxidative stress, guaiacol peroxidase activity, and ascorbic peroxidase activity in plants. Conversely, catalase activity decreased. Photosystem efficiency remained unchanged, while non-photochemical quenching increased. Leaf morphological parameters exhibited no significant alterations during this brief exposure period. Notably, despite shifts in physiological parameters and pigmentations, genomic template stability remained unaffected. The findings suggest that the non-thermal effects of microwave exposure influence the photosystem and plant physiology. Research confirmed the existence of non-thermal effects of microwave exposure; however, these effects are within tolerable limits for <i>Arabidopsis thaliana</i> plants. Microwaves are a category of radio waves with wavelengths ranging from approximately 30 centimeters to one millimeter. The most utilized microwave frequency these days is 2.45GHz, which is used in everyday devices such as microwaves and WiFi signals. This investigation explored the impact of low-intensity 2.45GHz microwaves on young thale cress (Arabidopsis thaliana) plants for 48hours. In other words, research is comparable to scientific assessing how plants respond to the proximity of a 2G WiFi signal. The exposure resulted in increased pigment production in plants and displayed indications of stress, influencing specific plant activities. However, these alterations did not compromise the stability of the genetic materials of the plants. This suggests that although low-intensity microwaves can affect plant systems, the effects appear to be manageable during brief exposures.
DOI: 10.6084/m9.figshare.27165329.v1
title: Assessing the biochemical and genotoxic effects of low intensity 2.45GHz microwave exposure on <i>Arabidopsis thaliana</i> plants

description: The electromagnetic waves of 2.45 GHz microwave frequency have become abundant in environments worldwide. This study assessed the short-term impact of low-intensity 2.45 GHz exposure on young <i>Arabidopsis thaliana</i> plants. The plants underwent a 48-hour exposure to continuous wave 2.45 GHz microwaves at a power density of 1.0 ± 0.1 W m<sup>−2</sup>. Experiments were conducted inside anechoic chambers. After the microwave exposure samples were subjected to morphological, genotoxicity, pigmentation, and physiochemical analysis. Microwave exposure elevated the levels of photosynthetic pigments, oxidative stress, guaiacol peroxidase activity, and ascorbic peroxidase activity in plants. Conversely, catalase activity decreased. Photosystem efficiency remained unchanged, while non-photochemical quenching increased. Leaf morphological parameters exhibited no significant alterations during this brief exposure period. Notably, despite shifts in physiological parameters and pigmentations, genomic template stability remained unaffected. The findings suggest that the non-thermal effects of microwave exposure influence the photosystem and plant physiology. Research confirmed the existence of non-thermal effects of microwave exposure; however, these effects are within tolerable limits for <i>Arabidopsis thaliana</i> plants. Microwaves are a category of radio waves with wavelengths ranging from approximately 30 centimeters to one millimeter. The most utilized microwave frequency these days is 2.45GHz, which is used in everyday devices such as microwaves and WiFi signals. This investigation explored the impact of low-intensity 2.45GHz microwaves on young thale cress (Arabidopsis thaliana) plants for 48hours. In other words, research is comparable to scientific assessing how plants respond to the proximity of a 2G WiFi signal. The exposure resulted in increased pigment production in plants and displayed indications of stress, influencing specific plant activities. However, these alterations did not compromise the stability of the genetic materials of the plants. This suggests that although low-intensity microwaves can affect plant systems, the effects appear to be manageable during brief exposures.
DOI: 10.15468/dl.fstqsv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelecanus carbo Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035690-241126133413365/datasets/export for details.
DOI: 10.15468/dl.s7jt6r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalacrocorax lucidus (Lichtenstein, 1823)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035691-241126133413365/datasets/export for details.
DOI: 10.15468/dl.5e5g8e
title: Occurrence Download

description: A dataset containing 28205 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((118.602 -33.23192, 119.5003 -33.23192, 119.5003 -32.3336, 118.602 -32.3336, 118.602 -33.23192))",
 "Year is less than 2025"
 ]
}

 The dataset includes 28205 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035692-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pf8x93
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stephanolepis cirrhifer (Temminck & Schlegel, 1850)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 621 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035694-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vvnp2
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monacanthus cirrhifer Temminck & Schlegel, 1850",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035695-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cva2gw
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipturus kwangtungensis (Chu, 1960)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 187 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035696-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13991511
title: Data described in the article "Mutual Interactions of Silymarin and Colon Microbiota in Healthy Young and Healthy Elder Subjects"

description: Raw data from metabolite profiling by LC-MS and 1HNMR and 16S rRNA sequencing described in the article "Mutual Interactions of Silymarin and Colon Microbiota in Healthy Young and Healthy Elder Subjects", available at https://doi.org/10.1002/mnfr.202400500.
DOI: 10.5281/zenodo.13991512
title: Data described in the article "Mutual Interactions of Silymarin and Colon Microbiota in Healthy Young and Healthy Elder Subjects"

description: Raw data from metabolite profiling by LC-MS and 1HNMR and 16S rRNA sequencing described in the article "Mutual Interactions of Silymarin and Colon Microbiota in Healthy Young and Healthy Elder Subjects", available at https://doi.org/10.1002/mnfr.202400500.