cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27966457
title: <i>HNF1B</i> polymorphisms and endometrial cancer risk: validation of identified loci and evaluation of novel variants

description: This study aimed to validate HNF1B single nucleotide polymorphisms (SNPs) associated with endometrial cancer risk in a Chinese Han population and explore novel SNPs. Our findings enhance the understanding of genetic components and are crucial for detection strategies and personalized medicine. We genotyped four HNF1B SNPs in 637 patients and 667 controls using Agena MassARRAY. Logistic regression calculated odds ratios (ORs) and 95% CI. Forest plots visualize stratified analyses. Multiple comparisons tested genetic loci-clinical indicator associations. The study confirmed that rs4430796 (A&gt;G) reduced endometrial cancer risk (OR = 0.83, 95% CI: 0.70–0.99, <i>p</i> = 0.041). Additionally, novel HNF1B mutations were associated with endometrial cancer risk: rs7405776 in individuals under the age of 55 (OR = 047, 95% CI: 0.25–0.91, <i>p</i> = 0.025) and nonsmokers (OR = 0.42, 95% CI: 0.23–0.75, <i>p</i> = 0.004), and rs11651755 in drinkers (OR = 0.39, 95% CI: 0.17–0.90, <i>p</i> = 0.027) and nonsmokers (OR = 0.43, 95% CI: 0.23–0.81, <i>p</i> = 0.009). The SNP rs4430796 was also associated with the CA125 level (<i>p</i> &lt; 0.05). HNF1B polymorphisms influence endometrial cancer risk in the Chinese Han population. Further studies are needed to explore the functional roles and clinical practicality of these SNPs.
DOI: 10.6084/m9.figshare.27966457.v1
title: <i>HNF1B</i> polymorphisms and endometrial cancer risk: validation of identified loci and evaluation of novel variants

description: This study aimed to validate HNF1B single nucleotide polymorphisms (SNPs) associated with endometrial cancer risk in a Chinese Han population and explore novel SNPs. Our findings enhance the understanding of genetic components and are crucial for detection strategies and personalized medicine. We genotyped four HNF1B SNPs in 637 patients and 667 controls using Agena MassARRAY. Logistic regression calculated odds ratios (ORs) and 95% CI. Forest plots visualize stratified analyses. Multiple comparisons tested genetic loci-clinical indicator associations. The study confirmed that rs4430796 (A&gt;G) reduced endometrial cancer risk (OR = 0.83, 95% CI: 0.70–0.99, <i>p</i> = 0.041). Additionally, novel HNF1B mutations were associated with endometrial cancer risk: rs7405776 in individuals under the age of 55 (OR = 047, 95% CI: 0.25–0.91, <i>p</i> = 0.025) and nonsmokers (OR = 0.42, 95% CI: 0.23–0.75, <i>p</i> = 0.004), and rs11651755 in drinkers (OR = 0.39, 95% CI: 0.17–0.90, <i>p</i> = 0.027) and nonsmokers (OR = 0.43, 95% CI: 0.23–0.81, <i>p</i> = 0.009). The SNP rs4430796 was also associated with the CA125 level (<i>p</i> &lt; 0.05). HNF1B polymorphisms influence endometrial cancer risk in the Chinese Han population. Further studies are needed to explore the functional roles and clinical practicality of these SNPs.
DOI: 10.6084/m9.figshare.27978671
title: Exploring sex-specific genetic architecture of coronary artery disease in Tehran: a cardiometabolic genetic study

description: The development of coronary artery disease (CAD) is influenced by sex and genetic factors. Genome-wide association studies (GWAS) have linked genetic loci to CAD, mostly in European populations. The study aims to find sex-related genetic differences in the Iranian population. We conducted a sex-stratified GWAS with 4519 subjects (1832 males and 2687 females) in the discovery group and 922 subjects (495 males and 427 females) in the confirmation group of an Iranian cohort. We analyzed 9,141,124 variants using a genome-wide complex trait analysis (GCTA) tool. We detected distinct genetic variants associated with CAD in males: rs34952209 [OR = 1.79; <i>p</i> = 5.216E–8], rs1432687863 [OR = 1.95; <i>p</i> = 8.477E–8], and in females, rs7314741 [OR = 1.67; <i>p</i> = 7.142-8E] positively influenced CAD risk. The CAD-associated SNPs that were obtained have been confirmed using independent samples. Rs3495229 May impact histone mark and Pou2f2 motifs, while rs7314741 in the LEM Domain Containing 3 (LEMD3) promoter may affect a regulatory motif for the STAT transcription factor. According to Roadmap and ENCODE data, Rs1432687863 is a new variant affecting CAD in males, potentially through H3K9me3 in the heart. Our findings highlight the role of sex-specific genetic differences in CAD development, providing novel insights into disease pathways which is not appropriate using a sex-combined strategy.
DOI: 10.6084/m9.figshare.27978671.v1
title: Exploring sex-specific genetic architecture of coronary artery disease in Tehran: a cardiometabolic genetic study

description: The development of coronary artery disease (CAD) is influenced by sex and genetic factors. Genome-wide association studies (GWAS) have linked genetic loci to CAD, mostly in European populations. The study aims to find sex-related genetic differences in the Iranian population. We conducted a sex-stratified GWAS with 4519 subjects (1832 males and 2687 females) in the discovery group and 922 subjects (495 males and 427 females) in the confirmation group of an Iranian cohort. We analyzed 9,141,124 variants using a genome-wide complex trait analysis (GCTA) tool. We detected distinct genetic variants associated with CAD in males: rs34952209 [OR = 1.79; <i>p</i> = 5.216E–8], rs1432687863 [OR = 1.95; <i>p</i> = 8.477E–8], and in females, rs7314741 [OR = 1.67; <i>p</i> = 7.142-8E] positively influenced CAD risk. The CAD-associated SNPs that were obtained have been confirmed using independent samples. Rs3495229 May impact histone mark and Pou2f2 motifs, while rs7314741 in the LEM Domain Containing 3 (LEMD3) promoter may affect a regulatory motif for the STAT transcription factor. According to Roadmap and ENCODE data, Rs1432687863 is a new variant affecting CAD in males, potentially through H3K9me3 in the heart. Our findings highlight the role of sex-specific genetic differences in CAD development, providing novel insights into disease pathways which is not appropriate using a sex-combined strategy.
DOI: 10.15468/dl.bxajpb
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A new species of Hohenbergia (Bromeliaceae) endemic to the Dolphin Head Mountains in western Jamaica"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051330-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/59mt-0326
title: Structure of the register of archeological monuments by voivodeships - comparison of the years 2003, 2016 and 2024

description: The following dataset compares the structure of the register of archeological monuments by voivodeships in Poland for 2003, 2016 and 2024. The dataset has been compiled based on the data contained in the Report analysing the state of immovable monuments (the report was prepared in 2004 based on data collected by provincial conservators of historical monuments in 2003), the Report on the State of the Immovable Monuments in Poland – Monuments entered in the Register of Monuments (Register Books A and C) of 2017 and the Statistical data from the register of monuments - archaeological monuments as at 04.10.2024.
DOI: 10.5281/zenodo.10531586
title: Coordinates and Dynamic Pressure of High-Speed Magnetosheath Jets Measured by THEMIS Satellites, 2012-2018

description: This dataset adds satellite parameters and dynamic pressure calculations to the event list at https://osf.io/7rjs4/

You can reference this data set as follows: Plaschke, F., Hietala, H., & LaMoury, A. T. (2020, October 27). THEMIS magnetosheath jet data set 2012-2018. Retrieved from osf.io/7rjs4.

The description of the identification processes of the THEMIS data sets is published in: Plaschke, F., Hietala, H., and Angelopoulos, V.: Anti-sunward high-speed jets in the subsolar magnetosheath, Ann. Geophys., 31, 1877–1889, https://doi.org/10.5194/angeo-31-1877-2013, 2013.

The original THEMIS list should be downloaded locally from the link above before running the python code in the Jupyter notebook. The columns contain:



   column 1: jet number

   column 2: observing spacecraft (A: THEMIS-A, ..., E: THEMIS-E)

   column 3: start of identified jet interval in UT

   column 4: time of maximum dynamic pressure ratio in UT

   column 5: end of identified jet interval in UT


In the final version of the list, the column is indexed by "Max" (col 4 in original), and the other columns are named 'Jet Number', 'Ref Spacecraft', 'Start', and 'End'.

From CDAWeb, we add the following columns: 



   SM_LAT, SM_LON: Latitude and longitude in GSM coordinates

   SM_X, SM_Y, SM_Z: Cartesian position in GSM coordinates

   GEO_X_1, GEO_Y_1, GEO_Z_1: Cartesian position in geographic coordinates

   DIST_FROM_P93_BOW_SHOCK: Distance from the P93 Bow Shock

   DIST_FROM_MAGNETOPAUSE: Distance from the RS93 Magnetopause

   DIST_FROM_T95_NS: Distance to the Tsyganenko 1995 model Neutral Sheet

   L_VALUE: Dipole L value

   INVAR_LAT: Dipole Invariant Latitude

   MAGNETIC_STRENGTH: Magnetic Field Strength

   Dynamic Pressure (nPa): Peak dynamic pressure of jet 

   Electron density: 

   Vx, Vy, Vz: Cartesian coordinates of ion velocity. Used in computing dynamic pressure


These are pulled from orbit parameters and on-board moment data, using ai.cdas and the second using pyspedas respectively.
DOI: 10.5281/zenodo.10531587
title: Coordinates and Dynamic Pressure of High-Speed Magnetosheath Jets Measured by THEMIS Satellites, 2012-2018

description: This dataset adds satellite parameters and dynamic pressure calculations to the event list at https://osf.io/7rjs4/

You can reference this data set as follows: Plaschke, F., Hietala, H., & LaMoury, A. T. (2020, October 27). THEMIS magnetosheath jet data set 2012-2018. Retrieved from osf.io/7rjs4.

The description of the identification processes of the THEMIS data sets is published in: Plaschke, F., Hietala, H., and Angelopoulos, V.: Anti-sunward high-speed jets in the subsolar magnetosheath, Ann. Geophys., 31, 1877–1889, https://doi.org/10.5194/angeo-31-1877-2013, 2013.

The original THEMIS list should be downloaded locally from the link above before running the python code in the Jupyter notebook. The columns contain:



   column 1: jet number

   column 2: observing spacecraft (A: THEMIS-A, ..., E: THEMIS-E)

   column 3: start of identified jet interval in UT

   column 4: time of maximum dynamic pressure ratio in UT

   column 5: end of identified jet interval in UT


In the final version of the list, the column is indexed by "Max" (col 4 in original), and the other columns are named 'Jet Number', 'Ref Spacecraft', 'Start', and 'End'.

From CDAWeb, we add the following columns: 



   SM_LAT, SM_LON: Latitude and longitude in GSM coordinates

   SM_X, SM_Y, SM_Z: Cartesian position in GSM coordinates

   GEO_X_1, GEO_Y_1, GEO_Z_1: Cartesian position in geographic coordinates

   DIST_FROM_P93_BOW_SHOCK: Distance from the P93 Bow Shock

   DIST_FROM_MAGNETOPAUSE: Distance from the RS93 Magnetopause

   DIST_FROM_T95_NS: Distance to the Tsyganenko 1995 model Neutral Sheet

   L_VALUE: Dipole L value

   INVAR_LAT: Dipole Invariant Latitude

   MAGNETIC_STRENGTH: Magnetic Field Strength

   Dynamic Pressure (nPa): Peak dynamic pressure of jet 

   Electron density: 

   Vx, Vy, Vz: Cartesian coordinates of ion velocity. Used in computing dynamic pressure


These are pulled from orbit parameters and on-board moment data, using ai.cdas and the second using pyspedas respectively.
DOI: 10.15468/dl.m5dqb5
title: Occurrence Download

description: A dataset containing 20996 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ageratum houstonianum Mill."
 ]
}

 The dataset includes 20996 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051332-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4a55x
title: Occurrence Download

description: A dataset containing 1679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cygnus cygnus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1679 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051333-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/9xjx-pj43
title: Purchasing power - purchases of coal and fuels in Poland in 2004 - 2021 for the average salary

description: The dataset contains information on the number of tons of coal and the number of liters of PB95 gasoline,diesel oil and LPG gas in Poland for the average monthly salary. The dataset covers the years 2004 - 2021 of each year. The values ​​included in the list have been averaged.
DOI: 10.15468/dl.bvgs3e
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, 204138216, 205001415, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, 205851114, Cirrhitidae, Cirrhitidae, 210656395, Cirrhitidae, 212360727, 212410653, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, 204040677, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, 212271417, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, 158165594, 197296546, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, 203894829, Cirrhitidae, 210218540, Cirrhitidae, Cirrhitidae, 157073658, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, 210653993, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, 203898943, Cirrhitidae, Cirrhitidae, Cirrhitidae, 211760488, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, Cirrhitidae, CIRRHITIDAE, Cirrhitidae, Cirrhitidae Macleay, 1841, Cirrhitidae Macleay, 1841, Cirrhitidae MacLeay, 1841, Cirrhitidae Bleeker, 1859, Cirrhitidae W.S.Macleay, 1841, Cirrhitidae MacLeay, 1841, 161456397, Cheilodactylidae, Cheilodactylidae Regan)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051334-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/7jg5-1z69
title: Average annual prices of coal and fuels in Poland in 2004-2021

description: The dataset contains information on average prices of coal and fuels (PB95 petrol, diesel oil and LPG). Prices were averaged within each of the years studied. The dataset includes prices in individual years in the period from 2004 to 2021.
DOI: 10.15468/dl.vm898z
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (204357576, Bramidae, 210218206, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, 205001209, 208833113, Bramidae, 210653674, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, 208973536, 158169286, Bramidae, Bramidae, 210655989, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, 212386645, Bramidae, 211760922, Bramidae, 212108384, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, 197283790, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, 205981841, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, BRAMIDAE, Bramidae, Bramidae, 209346585, Bramidae, 212282872, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae, Bramidae Bonaparte, 1831, Bramidae Bonaparte, 1831, 161453012, Bramidae Lowe, 1836, Bramidae Bonaparte, 1831, Bramidae Bonaparte, 1831, Bramidae Bonaparte, 1831, Bramidae Bonaparte, 1831, Bramidae Bonaparte, 1831, Coryphaenidae, Leiognathidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 137 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051336-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/20qy-0d42
title: Impact of binary mixtures of methylparaben and 17α-ethinylestradiol on endocrine processes of the model organism Saccharomyces Cerevisiae (using XenoScreen YES/YAS test) - with controls

description: Data shown in data set illustrate the results of the endocrine processes of mixtures of methylparaben and  β-estradiol  with controls for YES agonsit, YES antagonist, YAS agonist and YAS antagonist.  S cerevisiae is used as a model organism in the monitoring of endocrine disruptors in environmental and reference samples in Xenometrix® systems - XenoScreen®.  First substance namely methylparaben have bacteriostatic and fungicide properties and the second substance e.i 17α-ethinylestradiol is a synthetic hormone used in is a derivative of natural estradiol and is found in most modern two-component contraceptives. The XenoScreen YES/YAS reagents and methodology is given in Kudłak et al. (2019) and in details in electronic supplementary material.
Studies were conducted between 2016 and 2017.These results are part of the manuscript published in Science of the Total Environment
(Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie)10.1016/j.scitotenv.2020.137358)
DOI: 10.34808/r7tc-3h13
title: Impact of binary mixtures of buthylparaben and 17α-ethinylestradiol on endocrine processes of the model organism Saccharomyces Cerevisiae (using XenoScreen YES/YAS test) - with controls

description: Data shown in data set illustrate the results of the endocrine processes of mixtures of buthylparaben and 17α-ethinylestradiol  with controls for YES agonsit, YES antagonist, YAS agonist and YAS antagonist.  S cerevisiae is used as a model organism in the monitoring of endocrine disruptors in environmental and reference samples in Xenometrix® systems - XenoScreen®.  First substance namely buthylparaben have bacteriostatic and fungicide properties and the second substance e.i 17α-ethinylestradiol is a derivative of natural estradiol and is found in most modern two-component contraceptives. The XenoScreen YES/YAS reagents and methodology is given in Kudłak et al. (2019) and in details in electronic supplementary material.
Studies were conducted between 2016 and 2017.These results are part of the manuscript published in Science of the Total Environment
(Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie)10.1016/j.scitotenv.2020.137358)
DOI: 10.15468/dl.z5jjfy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ariommatidae, Ariommatidae, Ariommatidae, 212276666, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, 211760578, 210653669, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, 212386565, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, 212101282, Ariommatidae, Ariommatidae, Ariommatidae, 158146740, Ariommatidae, Ariommatidae, 210218650, Ariommatidae, 197284758, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, Ariommatidae, ARIOMMATIDAE, Ariommatidae, Ariommatidae, 161451734, Ariommatidae Haedrich, 1967, Ariommatidae Haedrich, 1967, Ariommatidae Haedrich 1967, Ariommatidae Haedrich, 1967, Ariommatidae Haedrich, 1967, Tetragonuridae, Tetragonuridae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051337-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/q8vn-qk54
title: Forest habitat types in the State Forests and their age structure in the years 2007-2008

description: The dataset contains data illustrating the area occupied by various types in the State Forests and their age structure over the years 2007-2008. It should be noted that this only concerns forests managed by the State Forests National Forest Holding. The average age is determined as a weighted average, with the area in individual age classes and subclasses taken as the weight. The term forest area refers to the area of forests excluding land related to forest management. The main source of information for the study is the Forest Data Bank (www.bdl.lasy.gov.pl).
The habitat types included in the dataset are:

Bb – swamp forest
BbG – mountain swamp forest
BG – mountain forest
BMb – mixed swamp forest
BMG – mixed mountain forest
BMśw – fresh mixed forest
BMw – moist mixed forest
BMwyż – upland mixed forest
Bs – dry forest
Bśw – fresh forest
Bw – moist forest
BWG – mountain moist forest
LG – mountain forest
Lł – riparian forest
LłG – mountain riparian forest
Lłwyż – upland riparian forest
LMb – mixed swamp forest
LMG – mixed mountain forest
LMśw – fresh mixed forest
LMw – moist mixed forest
LMwyż – upland mixed forest
Lśw – fresh forest
Lw – moist forest
Lwyż – upland forest
Ol – alder forest
OlJ – ash-alder forest
OlJG – mountain ash-alder forest
OlJwyż – upland ash-alder forest

Types of vertical stand structure:

KO – regeneration class
KDO – pre-regeneration class
BP – structure
DOI: 10.15468/dl.ajagkr
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Japan",
 "TaxonKey is Corvus macrorhynchos Wagler, 1827",
 "Year 2000-2024"
 ]
}

 The dataset includes 190 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051338-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.