cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ubp3eq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthyllis lotoides L.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092421-240321170329656/datasets/export for details.
DOI: 10.5519/qd.gqj41yeq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1394209 records)
DOI: 10.15468/dl.ejh96d
title: Occurrence Download

description: A dataset containing 1102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Saguinus oedipus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1102 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092422-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h8sj5
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.49855 36.65327,-4.4347 36.65327,-4.4347 36.69567,-4.49855 36.69567,-4.49855 36.65327))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 570 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092424-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tawgsf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthyllis montana L.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092423-240321170329656/datasets/export for details.
DOI: 10.15468/dl.wvr58s
title: Occurrence Download

description: A dataset containing 602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.49758 36.64703,-4.41933 36.64703,-4.41933 36.70728,-4.49758 36.70728,-4.49758 36.64703))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Plantae, Tracheophyta)"
 ]
}

 The dataset includes 602 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092425-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8chsd
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Malaxis muscifera (Lindl.) Kuntze"
 ]
}

 The dataset includes 56 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092427-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2n7du
title: Occurrence Download

description: A dataset containing 3674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "HasCoordinate is false",
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)"
 ]
}

 The dataset includes 3674 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092428-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9oaeatc
title: Detections of burros from helicopter aerial surveys in the southwestern US, 2016-2018

description: Feral burros (Equus asinus) and horses (E. ferus caballus) inhabiting public land in the western United States are intended to be managed at population levels established to promote a thriving, natural ecological balance. Like many large ungulate populations, management agencies employ aerial surveys to obtain estimates of horse and burro population sizes. Double-observer sightability (MDS) models perform well for estimating feral horse abundances, yet the effectiveness of these models for use in burro populations is less understood and may be different due to the smaller size, stoic behavior, and cryptic pelage of burros. These models help minimize detection bias, yet bias can be further reduced with models that account for unmodeled variation, or residual heterogeneity, in detection probability. In populations containing radio-marked individuals, residual heterogeneity can be estimated with MDS models by including an additional capture history corresponding to detections of marked individuals because these detections provide information on groups missed by both observers. One approach to estimate residual heterogeneity is including a covariate in detection models that estimates the difference in detection probability between marked and unmarked groups. Such a difference relies on many marked groups having no probability of detection; but this may not be realized in all populations, and therefore may underestimate residual heterogeneity. Another approach is to use information from detections missed by both observers to account for the characteristics that make groups more or less likely to be detected, or &quot;recaptured&quot;, by the second observer. This dataset contains burro detections from aerial surveys conducted between 2016-2018 in 3 burro populations that were used to develop MDS models applicable for feral burros in the southwestern United States. We also include an R script that will help users set up and run 4 types of MDS models: a standard MDS model without radio-telemetry, an MDS model with telemetry that assumes no residual heterogeneity is present; a MDS model with radio-telemetry that estimates residual heterogeneity by the difference in detection between marked and unmarked groups, and an MDS model that accounts for residual heterogeneity through recapture probability.
DOI: 10.5066/p9zs081m
title: Feral burro detections from aerial infrared surveys collected in Sinbad Herd Management Area, Utah, USA, from 2015-2016

description: These data are detections of burros in the Sinbad Herd Management Area in central Utah made during aerial thermal infrared-based distance sampling surveys in December 2015 and May 2016. Burros were detected from a fixed wing aircraft using an infrared camera mounted on the underside of the aircraft. A monitor screen was inside the aircraft, connected to the camera so the observer could look for burros in the monitor. Aircraft flew at 2,000 feet above ground level. These data were collected to estimate the population size of burros in the Sinbad Herd Management Area and to examine effectiveness between helicopter and aerial thermal infrared survey types. To assess performance of the different survey types, data analyses were conducted on both survey types and results were compared to known population size.
DOI: 10.15468/dl.d9ratw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthyllis terniflora (Lag.) Pau",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092430-240321170329656/datasets/export for details.
DOI: 10.15468/dl.er62ku
title: Occurrence Download

description: A dataset listing the 11865 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Occurrence evidence, Specimen, Material citation)",
 "Geometry POLYGON((-180 -23.5,180 -23.5,180 23.5,-180 23.5,-180 -23.5))",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 11865 records were derived from 512 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092394-240321170329656/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.22242097
title: “Watch me pretend to punch my girlfriend”: exploring youth responses to viral dating violence

description: Dating violence among adolescents is a severe public health issue that has escalated rapidly during the COVID-19 pandemic. This article explores young people’s responses to social media trends normalizing dating violence. Through analysis of the “pretend to punch your girlfriend” trend on the social media platform TikTok, this study asks: how do youth make sense of dating violence on social media? And what do their emotional responses reveal about emerging attitudes towards dating violence and relationship equity? This study explores the “feeling rules” constructed by youth in response to dating violence online through a mixed-method analysis of user comments. This article concludes with platform design solutions to regulate the rise of dating violence on social networks.
DOI: 10.6084/m9.figshare.10293431
title: Identification of differentially expressed proteins associated with recurrence in ovarian endometriotic cysts

description: The objective of this study was to identify proteins that are differentially expressed in the cystic wall tissues of ovarian endometriotic cysts, simple ovarian cysts, and in normal ovarian tissues. Specimens of ovarian endometriotic cyst wall tissue, simple ovarian cyst wall tissue, and normal ovarian tissue (six specimens per group) were collected from patients who received gynecologic surgery, respectively. Differentially expressed proteins related to the ovarian endometriotic cysts were screened by use of isobaric tags for relative and absolute quantitation (iTRAQ) combined with functional annotation and bioinformatics analyses. All differentially expressed proteins related to cysts were validated using immunohistochemistry methods in recurrent and non-recurrent ovarian endometriotic cyst. A total of 359 proteins were identified as up-regulated in ovarian endometriotic cyst groups when compared with both the normal ovary and simple ovarian cyst groups. The levels of 27 proteins were &gt;two-fold higher in the ovarian endometriotic cyst group than that in the other two groups. Of note, the five most significantly upregulated proteins were Charcot-Leyden Crystal Galectin (CLC), Defensin, alpha 1 (DEFA1), S100 calcium-binding protein A9 (S100A9), S100 calcium-binding protein A8 (S100A8), and Ferritin Light Chain (FTL). Immunohistochemistry results showed that the changes of S100A9 and S100A8 were consistent with the results shown by iTRAQ. However, no similarity of CLC, DEFA1, and FTL proteins was found between iTRAQ and immunohistochemistry. The ratio of patients with abnormally high S100A9 and S100A8 expression in the recurrent ovarian endometriotic cyst group was significantly higher than that in the non-recurrent group (P &lt; 0.05). Our data identify differentially expressed proteins S100A9 and S100A8, and suggest they may serve as novel molecular markers to predict postoperative recurrence of an ovarian endometriotic cysts. <b>Abbreviations:</b> iTRAQ: isobaric tags for relative and absolute quantitation; HPRD: Human Protein Reference Database; GO: Gene Ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes; EM: Endometriosis; COX-2: cyclooxyenase-2; NF-kB: nuclear factor kappa-B; PR-B: progesterone receptor type B.
DOI: 10.6084/m9.figshare.22242097.v1
title: “Watch me pretend to punch my girlfriend”: exploring youth responses to viral dating violence

description: Dating violence among adolescents is a severe public health issue that has escalated rapidly during the COVID-19 pandemic. This article explores young people’s responses to social media trends normalizing dating violence. Through analysis of the “pretend to punch your girlfriend” trend on the social media platform TikTok, this study asks: how do youth make sense of dating violence on social media? And what do their emotional responses reveal about emerging attitudes towards dating violence and relationship equity? This study explores the “feeling rules” constructed by youth in response to dating violence online through a mixed-method analysis of user comments. This article concludes with platform design solutions to regulate the rise of dating violence on social networks.
DOI: 10.6084/m9.figshare.10293431.v1
title: Identification of differentially expressed proteins associated with recurrence in ovarian endometriotic cysts

description: The objective of this study was to identify proteins that are differentially expressed in the cystic wall tissues of ovarian endometriotic cysts, simple ovarian cysts, and in normal ovarian tissues. Specimens of ovarian endometriotic cyst wall tissue, simple ovarian cyst wall tissue, and normal ovarian tissue (six specimens per group) were collected from patients who received gynecologic surgery, respectively. Differentially expressed proteins related to the ovarian endometriotic cysts were screened by use of isobaric tags for relative and absolute quantitation (iTRAQ) combined with functional annotation and bioinformatics analyses. All differentially expressed proteins related to cysts were validated using immunohistochemistry methods in recurrent and non-recurrent ovarian endometriotic cyst. A total of 359 proteins were identified as up-regulated in ovarian endometriotic cyst groups when compared with both the normal ovary and simple ovarian cyst groups. The levels of 27 proteins were &gt;two-fold higher in the ovarian endometriotic cyst group than that in the other two groups. Of note, the five most significantly upregulated proteins were Charcot-Leyden Crystal Galectin (CLC), Defensin, alpha 1 (DEFA1), S100 calcium-binding protein A9 (S100A9), S100 calcium-binding protein A8 (S100A8), and Ferritin Light Chain (FTL). Immunohistochemistry results showed that the changes of S100A9 and S100A8 were consistent with the results shown by iTRAQ. However, no similarity of CLC, DEFA1, and FTL proteins was found between iTRAQ and immunohistochemistry. The ratio of patients with abnormally high S100A9 and S100A8 expression in the recurrent ovarian endometriotic cyst group was significantly higher than that in the non-recurrent group (P &lt; 0.05). Our data identify differentially expressed proteins S100A9 and S100A8, and suggest they may serve as novel molecular markers to predict postoperative recurrence of an ovarian endometriotic cysts. <b>Abbreviations:</b> iTRAQ: isobaric tags for relative and absolute quantitation; HPRD: Human Protein Reference Database; GO: Gene Ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes; EM: Endometriosis; COX-2: cyclooxyenase-2; NF-kB: nuclear factor kappa-B; PR-B: progesterone receptor type B.
DOI: 10.6084/m9.figshare.21303485
title: Additional file 21 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 21: Table S8. Clinical baseline data of CEScore in pan-cancer.
DOI: 10.6084/m9.figshare.21303485.v1
title: Additional file 21 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 21: Table S8. Clinical baseline data of CEScore in pan-cancer.
DOI: 10.6084/m9.figshare.21303488
title: Additional file 22 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 22: Table S9. Pathway enrichment of CEScore in pan-cancer.
DOI: 10.6084/m9.figshare.21303488.v1
title: Additional file 22 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 22: Table S9. Pathway enrichment of CEScore in pan-cancer.
DOI: 10.6084/m9.figshare.21303491
title: Additional file 23 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 23: Table S10. OncoSore and oncoScape of CEScore-related genes.
DOI: 10.6084/m9.figshare.21303491.v1
title: Additional file 23 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 23: Table S10. OncoSore and oncoScape of CEScore-related genes.
DOI: 10.6084/m9.figshare.21303494
title: Additional file 24 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 24: Table S11. Univariate Cox analysis of cuproptosis-related targeted genes in KIRC.
DOI: 10.6084/m9.figshare.21303494.v1
title: Additional file 24 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 24: Table S11. Univariate Cox analysis of cuproptosis-related targeted genes in KIRC.
DOI: 10.6084/m9.figshare.21303497
title: Additional file 25 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 25: Table S12. CRP genes and each coefficient.
DOI: 10.6084/m9.figshare.21303497.v1
title: Additional file 25 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 25: Table S12. CRP genes and each coefficient.
DOI: 10.6084/m9.figshare.21303500
title: Additional file 26 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 26: Table S13. Univariate Cox analysis in clinical data in KIRC.
DOI: 10.6084/m9.figshare.21303500.v1
title: Additional file 26 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 26: Table S13. Univariate Cox analysis in clinical data in KIRC.
DOI: 10.6084/m9.figshare.21303503
title: Additional file 27 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 27: Table S14. Clinical baseline data of training cohort and validate cohorts in ccRCC.
DOI: 10.6084/m9.figshare.21303503.v1
title: Additional file 27 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 27: Table S14. Clinical baseline data of training cohort and validate cohorts in ccRCC.
DOI: 10.6084/m9.figshare.21303506
title: Additional file 28 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 28: Table S15. The expression and prognostic analysis of the other significant GSEA terms.
DOI: 10.6084/m9.figshare.21303506.v1
title: Additional file 28 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

description: Additional file 28: Table S15. The expression and prognostic analysis of the other significant GSEA terms.
DOI: 10.6084/m9.figshare.8196335
title: Additional file 1: of Rosiglitazone promotes ENaC-mediated alveolar fluid clearance in acute lung injury through the PPARγ/SGK1 signaling pathway

description: Figure S1. The effect of different doses of rosiglitazone on the expression of αENaC mRNA in mouse models of acute lung injury (ALI). The expression of αENaC mRNA increased gradually with increasing doses of rosiglitazone up to 4 mg/kg, which significantly increased αENaC mRNA expression. A further increase of rosiglitazone (8 mg/kg) did not further increase the expression of αENaC mRNA. The data are presented as the means ± SEM (n = 3) and analyzed with SPSS 13.0using ANOVA followed by LSD post-test for multiple comparisons. #p &gt; 0.05 vs. control group; *p &lt; 0.05 vs. control group; Δp &gt; 0.05 vs. RGZ 4 mg/kg group. Figure S2. The effect of different doses of GW9662 on the rosiglitazone-increased expression of αENaC mRNA in mouse models of ALI. The expression of αENaC mRNA decreased gradually with increasing doses of GW9662 up to 1 mg/kg, which significantly decreased αENaC mRNA expression compared with the control group. A further increase of GW9662 (2 mg/kg) did not further decrease the expression of αENaC mRNA. The data are presented as the means ± SEM (n = 3) and analyzed with SPSS 13.0using ANOVA followed by LSD post-test for multiple comparisons. #p &gt; 0.05 vs. control group; *p &lt; 0.05 vs. control group; Δp &gt; 0.05 vs. RGZ 4 mg/kg + GW9662 1 mg/kg group. Figure S3. The effect of different doses of rosiglitazone on the expression of αENaC mRNA in alveolar epithelial cells. The expression of αENaC mRNA in alveolar cells increased gradually with increasing doses of rosiglitazone, up to 15 μM, which significantly increased the αENaC mRNA expression in alveolar epithelial cells. A further increase of rosiglitazone (20 μM) did not further increase the expression of αENaC mRNA. The data are presented as the means ± SEM (n = 3) and analyzed with SPSS 13.0 using ANOVA followed by LSD post-test for multiple comparisons. #p &gt; 0.05 vs. control group; *p &lt; 0.05 vs. control group; Δp &gt; 0.05 vs. RGZ 15 μM group. Figure S4. The effect of different doses of GW9662 on the rosiglitazone-increased expression of αENaC mRNA in alveolar epithelial cells. The expression of αENaC mRNA decreased gradually when increasing the dose of GW9662 in alveolar epithelial cells up to 10 μM GW9662, which significantly decreased the αENaC mRNA expression compared with the control group. A further increase of GW9662 (20 μM) did not further decrease the expression of αENaC mRNA. The data are presented as the means ± SEM (n = 3) and analyzed with SPSS 13.0 using ANOVA followed by LSD post-test for multiple comparisons. #p &gt; 0.05 vs. control group; *p &lt; 0.05 vs. control group; Δp &gt; 0.05 vs. RGZ 15 μM + GW9662 10 μM group. (ZIP 760 kb)