cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9jg7t5
title: Occurrence Download

description: A dataset containing 8649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fairchild Tropical Botanic Garden (FTG)",
 "TaxonKey is Convolvulaceae"
 ]
}

 The dataset includes 8649 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037232-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.haxdt2
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maxillaria carrilloi Christenson"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176369-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xybz8p
title: Occurrence Download

description: A dataset containing 4801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Living Specimen, Occurrence evidence, Observation, Material sample)",
 "Country is Mexico",
 "Geometry POLYGON((-110.6386 16.1336,-88.72369 13.44087,-84.86692 22.37056,-82.54953 27.48767,-118.54965 33.14622,-110.6386 16.1336))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammillaria Haw."
 ]
}

 The dataset includes 4801 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007684-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4pun2
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cercomacroides laeta laeta"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085131-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tlphvi
title: Occurrence Download

description: A dataset containing 1477027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2000",
 "Month is May",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1477027 records from 1807 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037238-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/hqmf-3v52
title: Mercury at Pallas (Matorova)

description: Measurement of Mercury at Pallas (Matorova)
DOI: 10.48597/jsvf-2gbh
title: Measurement of Mercury at Zingst

description: Measurement of Mercury at Zingst
DOI: 10.48597/bffa-hc28
title: Measurement of Mercury at Pallas (Matorova)

description: Measurement of Mercury at Pallas (Matorova)
DOI: 10.48597/5md5-rm86
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)
DOI: 10.48597/9q54-uesa
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)
DOI: 10.48597/mg7y-v5gh
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)
DOI: 10.48597/nq34-8m6y
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)
DOI: 10.48597/rrx2-7z3v
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)
DOI: 10.48597/54n8-sqbk
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)
DOI: 10.48597/xm22-bfu2
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)
DOI: 10.17882/45538
title: NetCDF file format checker for Argo floats, Copernicus In Situ TAC, EGO gliders, OceanSITES

description: This java tool checks the format of a NetCDF file and produces a report of conformity with:
 - Argo floats NetCDF formats
 - EGO gliders NetCDF formats
 - OceanSITES NetCDF formats, with Copernicus implementation (valid rules :A_CF*.xml & B_CF*.xml)
 - OCO NetCDF formats (coastal operational oceanography)
The NetCDF format checker is flexible, you may add your own format rules in the RULES directory. Each file format is specified in an XML rules file.
DOI: 10.48597/8a4u-md9c
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)
DOI: 10.48597/9bwy-6vn3
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)
DOI: 10.48597/e9hj-ckrt
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)
DOI: 10.48597/k6ch-zkv7
title: Measurement of Aerosol_absorption_coefficient at Neumayer

description: Measurement of Aerosol_absorption_coefficient at Neumayer
DOI: 10.48597/s6me-77vd
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Pallas (Matorova)
DOI: 10.48597/sn59-g4aa
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Pallas (Matorova)
DOI: 10.48597/jsdw-sk69
title: OC/EC at Utö

description: Measurement of OC/EC at Utö
DOI: 10.48597/4y9e-3wvs
title: Measurement of POPs (persistent organic pollutants) at Pallas (Matorova)

description: Measurement of POPs (persistent organic pollutants) at Pallas (Matorova)
DOI: 10.48597/6tc4-e39q
title: Measurement of Heavy metals and inorganics in air and particle phase at Beograd Ada Marina

description: Measurement of Heavy metals and inorganics in air and particle phase at Beograd Ada Marina
DOI: 10.48597/dwz4-9cmx
title: Measurement of Aerosol_absorption_coefficient at Neumayer

description: Measurement of Aerosol_absorption_coefficient at Neumayer
DOI: 10.48597/eg3x-pz9a
title: Measurement of OC/EC at Utö

description: Measurement of OC/EC at Utö
DOI: 10.48597/m7be-yys2
title: Measurement of Gamma_HCH at Pallas (Matorova)

description: Measurement of Gamma_HCH at Pallas (Matorova)
DOI: 10.48597/yz3g-fgrr
title: Measurement of OC/EC at Utö

description: Measurement of OC/EC at Utö
DOI: 10.48597/5823-p2m2
title: Measurement of OC/EC at Utö

description: Measurement of OC/EC at Utö
DOI: 10.48597/jrsh-wwhu
title: Measurement of Heavy metals and inorganics in air and particle phase at Beograd Ada Marina

description: Measurement of Heavy metals and inorganics in air and particle phase at Beograd Ada Marina
DOI: 10.48597/nxmk-txfg
title: Measurement of POPs (persistent organic pollutants) at Pallas (Matorova)

description: Measurement of POPs (persistent organic pollutants) at Pallas (Matorova)
DOI: 10.48597/f2wk-swy9
title: HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)
DOI: 10.48597/6wgw-f38j
title: Measurement of HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)
DOI: 10.48597/bp7a-asf4
title: Measurement of HCH (hexachlorocyclohexanes) at Pallas (Matorova)

description: Measurement of HCH (hexachlorocyclohexanes) at Pallas (Matorova)
DOI: 10.48597/np5x-bqsf
title: Measurement of HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)
DOI: 10.48597/rbg3-3dmu
title: Measurement of HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)
DOI: 10.6084/m9.figshare.29853056
title: Immune cell phenotype in endometrial cancer: from biological significance to clinical utility using Mendelian randomisation analysis

description: We investigated the relationship between immune cells and endometrial cancer by conducting a two-sample bidirectional Mendelian randomisation (MR) analysis. MR uses genetic variation as an instrumental variable to study the causal effects of exposure on observed data outcomes. We conducted a dual-sample MR analysis to investigate the causal relationship between 731 immune cell phenotypes and endometrial cancer (EC). The weighted-median method and inverse variance weighted method MR were mainly used, and the <i>p</i>-value was corrected with the Benjamini-Hochberg procedure. The forward MR analysis revealed a causal relationship between EC and eight immune-cell phenotypes. The reverse MR analysis identified two immune-cell phenotypes with a potential causal effect on EC, with additional subtype-specific associations observed for endometrioid and non-endometrioid histology. Our study demonstrated a causal relationship between immune cells and EC, thereby providing guidance for the development of future immunoregulatory therapeutic strategies. Endometrial cancer (EC), a type of cancer that begins in the lining of the uterus, may be influenced by the immune system. In this study, we used a genetic analysis method called Mendelian randomisation to explore whether certain types of immune cells play a role in causing or being affected by endometrial cancer. By analysing genetic data from large studies, we examined over 700 immune cell traits to see if they are linked to EC. We found that some immune cell types may be influenced by having EC, while a few others might actually contribute to the development of the disease. Interestingly, these relationships were different depending on the specific type of endometrial cancer. Our findings suggest that the immune system and endometrial cancer affect each other in complex ways. This information may help guide future research and lead to new treatments that target the immune system to better manage or prevent this type of cancer.
DOI: 10.6084/m9.figshare.29853056.v1
title: Immune cell phenotype in endometrial cancer: from biological significance to clinical utility using Mendelian randomisation analysis

description: We investigated the relationship between immune cells and endometrial cancer by conducting a two-sample bidirectional Mendelian randomisation (MR) analysis. MR uses genetic variation as an instrumental variable to study the causal effects of exposure on observed data outcomes. We conducted a dual-sample MR analysis to investigate the causal relationship between 731 immune cell phenotypes and endometrial cancer (EC). The weighted-median method and inverse variance weighted method MR were mainly used, and the <i>p</i>-value was corrected with the Benjamini-Hochberg procedure. The forward MR analysis revealed a causal relationship between EC and eight immune-cell phenotypes. The reverse MR analysis identified two immune-cell phenotypes with a potential causal effect on EC, with additional subtype-specific associations observed for endometrioid and non-endometrioid histology. Our study demonstrated a causal relationship between immune cells and EC, thereby providing guidance for the development of future immunoregulatory therapeutic strategies. Endometrial cancer (EC), a type of cancer that begins in the lining of the uterus, may be influenced by the immune system. In this study, we used a genetic analysis method called Mendelian randomisation to explore whether certain types of immune cells play a role in causing or being affected by endometrial cancer. By analysing genetic data from large studies, we examined over 700 immune cell traits to see if they are linked to EC. We found that some immune cell types may be influenced by having EC, while a few others might actually contribute to the development of the disease. Interestingly, these relationships were different depending on the specific type of endometrial cancer. Our findings suggest that the immune system and endometrial cancer affect each other in complex ways. This information may help guide future research and lead to new treatments that target the immune system to better manage or prevent this type of cancer.
DOI: 10.48597/xxba-re2k
title: Measurement of HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)
DOI: 10.6084/m9.figshare.30417732
title: Rac3 promotes proliferation and invasion of endometrial cancer through the AKT/mTOR signalling pathway

description: Rac3 is associated with the malignancy of various tumours, including endometrial cancer (EC). Silencing Rac3 has been shown to effectively enhance the sensitivity of EC cells to chemotherapeutic drugs. Nonetheless, the underlying mechanism is still unclear. Firstly, the association between Rac3 and EC was verified through the TCGA database. Subsequently, Ishikawa cell lines with Rac3 knockdown were constructed. The effects of Rac3 knockdown on the growth, migration and invasion of Ishikawa cells were assessed through clone formation experiments, CCK-8 experiments, flow cytometry, and Transwell experiments. Finally, qRT-PCR and WB experiments were conducted to initially explore the potential mechanism of action of Rac3 in the development of EC. Compared with normal tissues, the expression of Rac3 in EC tissues was significantly elevated, and this expression further increased with the aggravation of tumour. In Ishikawa cells with Rac3 knockdown, cell viability was significantly reduced, the apoptosis rate increased, and the invasion and migration abilities of the cells were inhibited. Correlation analysis of EC samples revealed a positive correlation between Rac3 and AKT2, AKT3 and mTOR. Additionally, WB and qRT-PCR also suggested that the mechanism of action of Rac3 in the development of EC may be related to the upregulation of AKT2, AKT3 and mTOR. Knockdown of Rac3 may inhibit the occurrence and development of EC, which is related to its inhibition of AKT2, AKT3 and mTOR. This discovery provides a theoretical basis for clinical screening of biomarkers for EC and the development of potential therapeutic targets. Rac3 is intimately linked to the progression of multiple tumour types. In our study, we observed that the expression of Rac3 in EC was markedly elevated compared to normal tissues, and its expression positively correlates with the malignancy grade of EC. By downregulating Rac3, we successfully curbed the invasive and migratory capabilities of EC cells. Additional investigations unveiled that Rac3′s regulatory function in EC development was tied to the enhancement of the AKT/mTOR signalling pathway, specifically the elevation of AKT2 and AKT3 protein levels within this pathway.
DOI: 10.6084/m9.figshare.30417732.v1
title: Rac3 promotes proliferation and invasion of endometrial cancer through the AKT/mTOR signalling pathway

description: Rac3 is associated with the malignancy of various tumours, including endometrial cancer (EC). Silencing Rac3 has been shown to effectively enhance the sensitivity of EC cells to chemotherapeutic drugs. Nonetheless, the underlying mechanism is still unclear. Firstly, the association between Rac3 and EC was verified through the TCGA database. Subsequently, Ishikawa cell lines with Rac3 knockdown were constructed. The effects of Rac3 knockdown on the growth, migration and invasion of Ishikawa cells were assessed through clone formation experiments, CCK-8 experiments, flow cytometry, and Transwell experiments. Finally, qRT-PCR and WB experiments were conducted to initially explore the potential mechanism of action of Rac3 in the development of EC. Compared with normal tissues, the expression of Rac3 in EC tissues was significantly elevated, and this expression further increased with the aggravation of tumour. In Ishikawa cells with Rac3 knockdown, cell viability was significantly reduced, the apoptosis rate increased, and the invasion and migration abilities of the cells were inhibited. Correlation analysis of EC samples revealed a positive correlation between Rac3 and AKT2, AKT3 and mTOR. Additionally, WB and qRT-PCR also suggested that the mechanism of action of Rac3 in the development of EC may be related to the upregulation of AKT2, AKT3 and mTOR. Knockdown of Rac3 may inhibit the occurrence and development of EC, which is related to its inhibition of AKT2, AKT3 and mTOR. This discovery provides a theoretical basis for clinical screening of biomarkers for EC and the development of potential therapeutic targets. Rac3 is intimately linked to the progression of multiple tumour types. In our study, we observed that the expression of Rac3 in EC was markedly elevated compared to normal tissues, and its expression positively correlates with the malignancy grade of EC. By downregulating Rac3, we successfully curbed the invasive and migratory capabilities of EC cells. Additional investigations unveiled that Rac3′s regulatory function in EC development was tied to the enhancement of the AKT/mTOR signalling pathway, specifically the elevation of AKT2 and AKT3 protein levels within this pathway.
DOI: 10.48597/2gz3-6ymy
title: Measurement of HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)
DOI: 10.48597/2hx4-srdt
title: Measurement of HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)
DOI: 10.48597/hbr4-6u6y
title: Measurement of HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)
DOI: 10.6084/m9.figshare.30119257
title: Integrated bioinformatic and experimental study links cyclin B1/B2 to poor prognosis and immune infiltration in endometrial cancer

description: Although most cases of endometrial cancer (EC) are diagnosed at an early stage with favourable outcomes, the prognosis for advanced or recurrent disease remains poor, highlighting the need for novel therapeutic targets. This study aimed to examine the correlation between Cyclin B1 (CCNB1) and Cyclin B2 (CCNB2) expression and disease severity in EC through bioinformatics analysis. Common differentially expressed genes were identified in two EC cohorts from the Gene Expression Omnibus. A protein-protein interaction (PPI) network was constructed to identify hub genes. Aberrant expression of the hub genes was validated in external datasets. Their prognostic values were evaluated in a cohort from The Cancer Genome Atlas (TCGA). Knockdown of the hub genes was conducted to explore their functions in the malignant behaviour of EC cells <i>in vitro</i>. CCNB1 and CCNB2 were identified as the top 2 hub genes in the PPI network. High CCNB1/CCNB2 expression was significantly associated with shorter survival in EC patients. Overexpression of CCNB1/CCNB2 in endometrial tumour tissue was validated in public datasets. In TCGA cohort, high expression of CCNB1/CCNB2 correlated with greater disease severity and predicted poor prognosis. In addition, high expression of CCNB1/CCNB2 was strongly associated with immune cell infiltration, as well as increased expression of immune checkpoint genes and mismatch repair genes. Furthermore, knockdown of CCNB1/CCNB2 significantly suppressed the proliferation, migration, and invasion of HEC-1 and Ishikawa cells <i>in vitro</i>. CCNB1 and CCNB2 may serve as potential prognostic markers and therapeutic targets for the management of EC. Endometrial cancer is a common cancer originating in the uterus lining. This study identified two genes, cyclin B1 and cyclin B2, as significantly more active in cancer tissue than in normal tissue. Patients with higher levels of these genes had more aggressive cancer, characterized by deeper uterine invasion, increased spread, and shorter survival times. These genes were also linked to immune system changes, suggesting they might help cancer cells avoid immune attack. In lab experiments, reducing cyclin B1 and B2 activity slowed cancer cell growth and decreased their ability to move and invade. These findings indicate that cyclin B1 and B2 promote endometrial cancer growth and spread. Measuring their levels could help predict cancer aggressiveness, and future treatments targeting these genes may offer new strategies to fight the disease.
DOI: 10.6084/m9.figshare.30119257.v1
title: Integrated bioinformatic and experimental study links cyclin B1/B2 to poor prognosis and immune infiltration in endometrial cancer

description: Although most cases of endometrial cancer (EC) are diagnosed at an early stage with favourable outcomes, the prognosis for advanced or recurrent disease remains poor, highlighting the need for novel therapeutic targets. This study aimed to examine the correlation between Cyclin B1 (CCNB1) and Cyclin B2 (CCNB2) expression and disease severity in EC through bioinformatics analysis. Common differentially expressed genes were identified in two EC cohorts from the Gene Expression Omnibus. A protein-protein interaction (PPI) network was constructed to identify hub genes. Aberrant expression of the hub genes was validated in external datasets. Their prognostic values were evaluated in a cohort from The Cancer Genome Atlas (TCGA). Knockdown of the hub genes was conducted to explore their functions in the malignant behaviour of EC cells <i>in vitro</i>. CCNB1 and CCNB2 were identified as the top 2 hub genes in the PPI network. High CCNB1/CCNB2 expression was significantly associated with shorter survival in EC patients. Overexpression of CCNB1/CCNB2 in endometrial tumour tissue was validated in public datasets. In TCGA cohort, high expression of CCNB1/CCNB2 correlated with greater disease severity and predicted poor prognosis. In addition, high expression of CCNB1/CCNB2 was strongly associated with immune cell infiltration, as well as increased expression of immune checkpoint genes and mismatch repair genes. Furthermore, knockdown of CCNB1/CCNB2 significantly suppressed the proliferation, migration, and invasion of HEC-1 and Ishikawa cells <i>in vitro</i>. CCNB1 and CCNB2 may serve as potential prognostic markers and therapeutic targets for the management of EC. Endometrial cancer is a common cancer originating in the uterus lining. This study identified two genes, cyclin B1 and cyclin B2, as significantly more active in cancer tissue than in normal tissue. Patients with higher levels of these genes had more aggressive cancer, characterized by deeper uterine invasion, increased spread, and shorter survival times. These genes were also linked to immune system changes, suggesting they might help cancer cells avoid immune attack. In lab experiments, reducing cyclin B1 and B2 activity slowed cancer cell growth and decreased their ability to move and invade. These findings indicate that cyclin B1 and B2 promote endometrial cancer growth and spread. Measuring their levels could help predict cancer aggressiveness, and future treatments targeting these genes may offer new strategies to fight the disease.
DOI: 10.48597/rzux-mmxd
title: Measurement of HCB at Pallas (Matorova)

description: Measurement of HCB at Pallas (Matorova)