cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10778019
title: Neolithic life tables de 2024.02
title: Providing and presenting data on human age at death.

description: Data from the literature containing information on the age at death of Neolithic burials from Germany. The data were taken from mortality tables (Dx), individual data or bar charts. The data set does not claim to be complete, but focuses on larger burial groups.
DOI: 10.15468/dl.qufhvp
title: Occurrence Download

description: A dataset containing 1688 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Carabus truncaticollis Eschscholtz, 1833",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1688 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095242-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2gnvmm
title: CCDC 2284161: Experimental Crystal Structure Determination

description: Related Article: Christian A. Romero-Soto, Ana L. Iglesias, Amor F. Velázquez-Ham, Juan P. Camarena-Díaz, Erick Correa-Ayala, Jessica L. Gomez-Lopez, Daniel Chávez, Adrián Ochoa-Terán, Gerardo Aguirre, Arnold L. Rheingold, Douglas B. Grotjahn, Miguel Parra-Hake, Valentín Miranda-Soto|2024|RSC Advances|14|24019|doi:10.1039/D4RA04813J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gnvnn
title: CCDC 2284162: Experimental Crystal Structure Determination

description: Related Article: Christian A. Romero-Soto, Ana L. Iglesias, Amor F. Velázquez-Ham, Juan P. Camarena-Díaz, Erick Correa-Ayala, Jessica L. Gomez-Lopez, Daniel Chávez, Adrián Ochoa-Terán, Gerardo Aguirre, Arnold L. Rheingold, Douglas B. Grotjahn, Miguel Parra-Hake, Valentín Miranda-Soto|2024|RSC Advances|14|24019|doi:10.1039/D4RA04813J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k87kn
title: CCDC 2361411: Experimental Crystal Structure Determination

description: Related Article: Eleazar Alcántar-Zavala, Francisco Delgado-Vargas, Fabricio Marín-González, Gabriela López Angulo, Hugo Enrique Aguirre-Madrigal, Adrián Ochoa-Terán, Gibrán Rodríguez-Vega, Gerardo Aguirre-Hernández, Julio Montes-Avila|2024|RSC Advances|14|23828|doi:10.1039/D4RA04220D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k87lp
title: CCDC 2361412: Experimental Crystal Structure Determination

description: Related Article: Eleazar Alcántar-Zavala, Francisco Delgado-Vargas, Fabricio Marín-González, Gabriela López Angulo, Hugo Enrique Aguirre-Madrigal, Adrián Ochoa-Terán, Gibrán Rodríguez-Vega, Gerardo Aguirre-Hernández, Julio Montes-Avila|2024|RSC Advances|14|23828|doi:10.1039/D4RA04220D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.bdahpv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Saitis ariadneae Logunov, 2001",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095243-240626123714530/datasets/export for details.
DOI: 10.15468/dl.4dj766
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryomys nitedula (Pallas, 1778)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 339 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095244-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckvbtn
title: Occurrence Download

description: A dataset containing 791 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Alopecosa hirtipes (Kulczyński, 1907)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 791 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095245-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yq3mp3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asplenium daghestanicum Christ)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095246-240626123714530/datasets/export for details.
DOI: 10.15468/dl.8nsbba
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Macrosiphoniella pulvera (Walker, 1848)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095247-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ar32aw
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Carabus faminii Dejean, 1826",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095248-240626123714530/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.22612178.v1
title: Additional file 1 of Effects of intraocular lens anterior edge design on anterior capsule morphology changes following femtosecond laser-assisted capsulotomy

description: Additional file 1.
DOI: 10.6084/m9.figshare.12650617
title: Additional file 2 of Diversity and distribution of marine heterotrophic bacteria from a large culture collection

description: Additional file 2. Includes all Supplementary Tables.
DOI: 10.6084/m9.figshare.24233629.v4
title: <b>Revolutionizing Database Design through a Scalable, Formal, Learning-Powered</b><b>Systematic Tradeoff Analysis</b>

description: Optimizing database design is crucial for the performance of any software systems reliant on databases. However, current database design tools offer limited support for evaluating the performance implications of database designs. Instead, they often rely on single-point solutions guided by static heuristics, offering limited insights. While state-of-the-art design tradeoff analysis tools extend greater assistance, their usage becomes impractical when dealing with large-scale, real-world systems hosting thousands of potential designs. Specifically, the exorbitant cost associated with dynamically analyzing the performance of each conceivable design impedes the scalability of these cutting-edge techniques. In this paper, we introduce an innovative solution grounded in machine learning to efficiently and scalably identify and present optimal tradeoffs within the realm of database designs for object-oriented software systems. Our approach centers on training a transformer model using a dataset of formally analyzed database designs. This trained model is then employed to identify Pareto-optimal design tradeoffs, drastically reducing the number of design candidates requiring dynamic evaluation. These select designs can subsequently undergo evaluation and comparison, with the designs offering the best tradeoffs presented to the user, significantly reducing the time required compared to state-of-the-art techniques.The extensive experiments across various software database systems corroborate our approach's high effectiveness in identifying optimal design alternatives overlooked by leading analysis tools. Additionally, our results demonstrate an impressive 98.21 % improvement in analysis efficiency compared to the current state of the art, reducing tradeoff analysis time from 58 days to just 43 minutes—a remarkable advancement in efficiency.
DOI: 10.6084/m9.figshare.22612396.v1
title: Additional file 5 of Systematic analysis identifies XRCC4 as a potential immunological and prognostic biomarker associated with pan-cancer

description: Additional file 5. Correlation between XRCC4 expression and immune cells infiltarion in pan-cancer.
DOI: 10.6084/m9.figshare.24233629.v5
title: <b>Revolutionizing Database Design through a Scalable, Formal, Learning-Powered</b><b>Systematic Tradeoff Analysis</b>

description: Optimizing database design is crucial for the performance of any software systems reliant on databases. However, current database design tools offer limited support for evaluating the performance implications of database designs. Instead, they often rely on single-point solutions guided by static heuristics, offering limited insights. While state-of-the-art design tradeoff analysis tools extend greater assistance, their usage becomes impractical when dealing with large-scale, real-world systems hosting thousands of potential designs. Specifically, the exorbitant cost associated with dynamically analyzing the performance of each conceivable design impedes the scalability of these cutting-edge techniques. In this paper, we introduce an innovative solution grounded in machine learning to efficiently and scalably identify and present optimal tradeoffs within the realm of database designs for object-oriented software systems. Our approach centers on training a transformer model using a dataset of formally analyzed database designs. This trained model is then employed to identify Pareto-optimal design tradeoffs, drastically reducing the number of design candidates requiring dynamic evaluation. These select designs can subsequently undergo evaluation and comparison, with the designs offering the best tradeoffs presented to the user, significantly reducing the time required compared to state-of-the-art techniques.The extensive experiments across various software database systems corroborate our approach's high effectiveness in identifying optimal design alternatives overlooked by leading analysis tools. Additionally, our results demonstrate an impressive 98.21 % improvement in analysis efficiency compared to the current state of the art, reducing tradeoff analysis time from 58 days to just 43 minutes—a remarkable advancement in efficiency.
DOI: 10.6084/m9.figshare.12650773
title: Additional file 3 of The circular RNA landscape in specific peripheral blood mononuclear cells of critically ill patients with sepsis

description: Additional file 3: Table S1. Table of differentially abundant circRNAs.
DOI: 10.6084/m9.figshare.12650779
title: Additional file 1 of Phenotypic and genetic variation in phosphorus-deficiency-tolerance traits in Chinese wheat landraces

description: Additional file 1: Table S1. Top ten genotypes with extremely tolerance and bottommost ten genotypes with extremely sensitivity selected from 707 Chinese wheat landraces based on phosphorus deficiency tolerance index (PDTI) and synthesis value (S value).
DOI: 10.6084/m9.figshare.22612205
title: Additional file 7 of A novel lncRNA MDHDH suppresses glioblastoma multiforme by acting as a scaffold for MDH2 and PSMA1 to regulate NAD+ metabolism and autophagy

description: Additional file 7.
DOI: 10.6084/m9.figshare.12650779.v1
title: Additional file 1 of Phenotypic and genetic variation in phosphorus-deficiency-tolerance traits in Chinese wheat landraces

description: Additional file 1: Table S1. Top ten genotypes with extremely tolerance and bottommost ten genotypes with extremely sensitivity selected from 707 Chinese wheat landraces based on phosphorus deficiency tolerance index (PDTI) and synthesis value (S value).
DOI: 10.6084/m9.figshare.17893681.v2
title: Chrysin impairs genomic stability by suppressing DNA double-strand break repair in breast cancer cells

description: Chrysin, a natural compound isolated from various plants, such as the blue passion flower (<i>Passiflora caerulea L</i>.), exhibits multiple pharmacological activities, such as antitumor, anti-inflammatory and antioxidant activities. Accumulating evidence shows that chrysin inhibits cancer cell growth by inducing apoptosis and regulating cell cycle arrest. However, whether chrysin is involved in regulating genomic stability and its underlying mechanisms in breast cancer cells have not been determined. Here, we demonstrated that chrysin impairs genomic stability in MCF-7 and BT474 cells, inhibits cell survival and enhances the sensitivity of MCF-7 cells to chemotherapeutic drugs. Further experiments revealed that chrysin impairs DNA double-strand break (DSB) repair, resulting in accumulation of DNA damage. Mechanistic studies showed that chrysin inhibits the recruitment of the key NHEJ factor 53BP1 and delays the recruitment of the HR factor RAD51. Thus, we elucidated novel regulatory mechanisms of chrysin in DSB repair and proposed that a combination of chrysin and chemotherapy has curative potential in breast cancers.
DOI: 10.6084/m9.figshare.17893681.v1
title: Chrysin impairs genomic stability by suppressing DNA double-strand break repair in breast cancer cells

description: Chrysin, a natural compound isolated from various plants, such as the blue passion flower (<i>Passiflora caerulea L</i>.), exhibits multiple pharmacological activities, such as antitumor, anti-inflammatory and antioxidant activities. Accumulating evidence shows that chrysin inhibits cancer cell growth by inducing apoptosis and regulating cell cycle arrest. However, whether chrysin is involved in regulating genomic stability and its underlying mechanisms in breast cancer cells have not been determined. Here, we demonstrated that chrysin impairs genomic stability in MCF-7 and BT474 cells, inhibits cell survival and enhances the sensitivity of MCF-7 cells to chemotherapeutic drugs. Further experiments revealed that chrysin impairs DNA double-strand break (DSB) repair, resulting in accumulation of DNA damage. Mechanistic studies showed that chrysin inhibits the recruitment of the key NHEJ factor 53BP1 and delays the recruitment of the HR factor RAD51. Thus, we elucidated novel regulatory mechanisms of chrysin in DSB repair and proposed that a combination of chrysin and chemotherapy has curative potential in breast cancers.
DOI: 10.6084/m9.figshare.12650745.v1
title: Additional file 5 of PacBio single molecule long-read sequencing provides insight into the complexity and diversity of the Pinctada fucata martensii transcriptome

description: Additional file 5: Table S5a, b. Five kinds of alternative splicing events were identified.
DOI: 10.6084/m9.figshare.12650757
title: Additional file 8 of PacBio single molecule long-read sequencing provides insight into the complexity and diversity of the Pinctada fucata martensii transcriptome

description: Additional file 8: Table S8. The predicting target genes of lncRNAs based on location and co-expression relationship.
DOI: 10.5281/zenodo.8212012
title: Bird_dataset_Catalonia

description: The dataset "ESbirds_2019_20221216.shp" is a shapefile (coordinate reference system EPSG:3035) in gridded format, containing information on bird observations and environmental variables for the region of Catalonia, Spain.For more information on its preparation, and on the data sources, please read the manuscript "A cross-regional analysis of red-backed shrike responses to agri-environmental schemes in Europe" by Roilo S., Spake B., Bullock J. M. and Cord A. F. (2024) Environmental Research Letters.DOI: 10.1088/1748-9326/ad264a

The dataset comes with a README.txt file containing additional metadata.
DOI: 10.6084/m9.figshare.22612199
title: Additional file 5 of A novel lncRNA MDHDH suppresses glioblastoma multiforme by acting as a scaffold for MDH2 and PSMA1 to regulate NAD+ metabolism and autophagy

description: Additional file 5.
DOI: 10.6084/m9.figshare.19990884.v1
title: Exploring dielectric spectra of polymer through molecular dynamics simulations

description: In this work, poly(<i>N</i>-isopropylacrylamide) (PNIPAM) was used as a research object to explore the feasibility of molecular dynamics (MD) simulations to study the dielectric properties of polymers. A comparison of the static dielectric constants for two different calculation schemes, the applied electric field method and the dipole moment fluctuation method, has been conducted. The dielectric properties of PNIPAM aqueous solutions with different concentrations were studied as a function of temperature. The static dielectric constants derived from dipole moment fluctuation method at different temperatures can accurately describe the phase transition process. The concentration does not affect the lower critical solution temperature, but significantly affects the relaxation process of the system. According to the frequency-dependent dielectric constants, two relaxation processes are observed, namely, the dielectric relaxation process in the region of frequency less than 30 terahertz (THz) determined by the synergistic interaction of PNIPAM and water molecules, and that in the region of frequency higher than 30 THz mainly determined by water molecules beyond the solvation shell of the polymer. The calculation results suggest that the dielectric behaviour is concentration and temperature independent, similar to Debye behaviour of bulk water. This method of calculating dielectric properties using MD simulations can be used in detecting the dynamic processes of soft condensed matter and in aiding the design of materials with excellent dielectric properties.
DOI: 10.6084/m9.figshare.22612202.v1
title: Additional file 6 of A novel lncRNA MDHDH suppresses glioblastoma multiforme by acting as a scaffold for MDH2 and PSMA1 to regulate NAD+ metabolism and autophagy

description: Additional file 6.
DOI: 10.6084/m9.figshare.22612184
title: Additional file 1 of A novel lncRNA MDHDH suppresses glioblastoma multiforme by acting as a scaffold for MDH2 and PSMA1 to regulate NAD+ metabolism and autophagy

description: Additional file 1.
DOI: 10.6084/m9.figshare.22612393
title: Additional file 4 of Systematic analysis identifies XRCC4 as a potential immunological and prognostic biomarker associated with pan-cancer

description: Additional file 4. Correlations between XRCC4 expression and immune checkpoint genes.
DOI: 10.6084/m9.figshare.22612190
title: Additional file 3 of A novel lncRNA MDHDH suppresses glioblastoma multiforme by acting as a scaffold for MDH2 and PSMA1 to regulate NAD+ metabolism and autophagy

description: Additional file 3.
DOI: 10.6084/m9.figshare.22612190.v1
title: Additional file 3 of A novel lncRNA MDHDH suppresses glioblastoma multiforme by acting as a scaffold for MDH2 and PSMA1 to regulate NAD+ metabolism and autophagy

description: Additional file 3.
DOI: 10.6084/m9.figshare.22612202
title: Additional file 6 of A novel lncRNA MDHDH suppresses glioblastoma multiforme by acting as a scaffold for MDH2 and PSMA1 to regulate NAD+ metabolism and autophagy

description: Additional file 6.
DOI: 10.6084/m9.figshare.22612393.v1
title: Additional file 4 of Systematic analysis identifies XRCC4 as a potential immunological and prognostic biomarker associated with pan-cancer

description: Additional file 4. Correlations between XRCC4 expression and immune checkpoint genes.
DOI: 10.6084/m9.figshare.22612396
title: Additional file 5 of Systematic analysis identifies XRCC4 as a potential immunological and prognostic biomarker associated with pan-cancer

description: Additional file 5. Correlation between XRCC4 expression and immune cells infiltarion in pan-cancer.
DOI: 10.6084/m9.figshare.22612399
title: Additional file 6 of Systematic analysis identifies XRCC4 as a potential immunological and prognostic biomarker associated with pan-cancer

description: Additional file 6. Association between XRCC4 expression and marker genes of immune cells.
DOI: 10.6084/m9.figshare.22607018
title: Additional file 1 of Interactions between the gut micro-community and transcriptome of Culex pipiens pallens under low-temperature stress

description: Additional file 1: Table S1. Basic information of 16S rRNA sequencing of gut bacteria. Table S2. Basic information of transcriptome sequencing. Table S3. DEGs. Table S4. GO level_2 statistics. Table S5. Top 20 enriched KEGG pathways. Table S6. Pearson’s correlation analysis of the data and statistics.