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

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polythore picta",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002886-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtxjdk
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "Year is 2024",
 "Year is 2020",
 "Year is 2021",
 "Year is 2022",
 "Year is 2023",
 "Year is 2025",
 "Year is 2019",
 "Year is 2018",
 "Year is 2017",
 "Year is 2016",
 "Year is 2015",
 "Year is 2014",
 "Year is 2013",
 "Year is 2012",
 "Year is 2011",
 "Year is 2010",
 "Year is 2009",
 "Year is 2008",
 "Year is 2007",
 "Year is 2006",
 "Year is 2005",
 "Year is 2004",
 "Year is 2003",
 "Year is 2002",
 "Year is 2001",
 "Year is 2000"
 ]
 },
 "OccurrenceStatus is one of (Present)",
 "TaxonKey is one of (Bromus tectorum [GBIF Backbone Taxonomy], Ventenata dubia [GBIF Backbone Taxonomy], Taeniatherum caput-medusae [GBIF Backbone Taxonomy], Brassica nigra [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset's 10 records were derived from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002877-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccj25b
title: Occurrence Download

description: A dataset containing 203407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "Geometry POLYGON((-101.78369 21.34944,-99.98152 21.34944,-99.98152 22.70632,-101.78369 22.70632,-101.78369 21.34944))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cactaceae"
 ]
}

 The dataset includes 203407 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002872-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9a2n4t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Progomphus angeloi",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002888-251120083545085/datasets/export for details.
DOI: 10.15468/dl.hx5cxt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Progomphus fassli",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002889-251120083545085/datasets/export for details.
DOI: 10.15468/dl.kz72yr
title: Occurrence Download

description: A dataset containing 304487 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castor fiber"
 ]
}

 The dataset includes 304487 records from 621 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002869-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xea9p4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lontra canadensis",
 "StateProvince is one of (Texas, North Dakota, South Dakota, Wyoming, Kansas, Nebraska, Oklahoma, New Mexico, Montana, Colorado)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002891-251120083545085/datasets/export for details.
DOI: 10.15468/dl.nh3ar2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Telebasis carvalhoi",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002892-251120083545085/datasets/export for details.
DOI: 10.15468/dl.7ttzva
title: Occurrence Download

description: A dataset containing 216248 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazilia rutila"
 ]
}

 The dataset includes 216248 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002875-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13822062
title: Indonesian Hoax News Dataset
DOI: 10.15468/dl.mpayu2
title: Occurrence Download

description: A dataset containing 1578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.85031 50.8515,16.30994 50.65884,16.34237 50.34536,16.63164 50.23845,17.03338 50.22977,16.87086 50.43152,17.4537 50.29142,17.57513 50.26339,17.7171 50.29889,17.75447 50.23164,17.60875 50.16065,17.8815 49.99065,18.06083 50.04109,18.23083 49.9645,18.57269 49.90846,18.64555 49.71791,18.80247 49.65066,18.86225 49.51989,18.97246 49.49374,18.98554 49.41341,19.19477 49.41715,19.234 49.50868,19.28444 49.54231,19.35916 49.54418,19.40213 49.58528,19.44322 49.61143,19.47498 49.59462,19.52542 49.56659,19.55157 49.51055,19.60388 49.44704,19.69355 49.40033,19.76267 49.40781,19.80377 49.37605,19.79955 49.30399,19.76966 49.21433,19.87241 49.19751,19.91164 49.23114,19.99197 49.23301,20.05922 49.1807,20.14702 49.3096,21.55491 49.40949,22.25539 49.16017,22.65905 49.05332,22.86088 49.0177,22.68279 49.25515,22.70654 49.43323,22.64718 49.5757,22.93212 49.8369,23.31203 50.15745,23.69195 50.38303,23.82255 50.3949,24.07187 50.47801,24.07187 50.92916,23.73944 51.39218,23.506 52.16062,23.17619 52.30668,23.56725 52.59408,23.93946 52.7213,23.57408 53.67855,23.39811 54.20751,23.34493 54.24712,23.2847 54.25798,23.24563 54.25906,23.20549 54.28646,23.15502 54.29786,23.16099 54.3098,23.13983 54.31794,23.09479 54.29732,23.04161 54.31305,23.0624 54.34001,22.9924 54.3628,23.00651 54.3818,22.88984 54.40188,22.83774 54.40567,22.79704 54.36443,22.62733 54.35494,21.64622 54.32129,20.83876 54.35385,19.80772 54.43742,19.171 54.36315,18.66878 54.39809,18.78529 54.57022,18.86564 54.62881,18.33499 54.83471,17.77253 54.8163,17.02974 54.65145,16.88532 54.59868,16.43941 54.52832,16.21885 54.32371,16.0492 54.26179,15.79369 54.25462,15.11608 54.09253,14.73517 53.99408,14.61013 53.48595,14.51712 53.32518,14.35727 53.09759,14.13432 52.84609,14.41068 52.68931,14.602 52.5963,14.61263 52.48204,14.54089 52.42624,14.58606 52.30932,14.69767 52.14457,14.71627 52.00107,14.74018 51.65828,15.02717 51.27564,14.91025 50.99131,14.85031 50.8515))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triturus cristatus"
 ]
}

 The dataset includes 1578 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002893-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6y56w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Quercus alba",
 "StateProvince is one of (Texas, North Dakota, South Dakota, Wyoming, Kansas, Nebraska, Oklahoma, New Mexico, Montana, Colorado)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002895-251120083545085/datasets/export for details.
DOI: 10.15468/dl.a3fecu
title: Occurrence Download

description: A dataset listing the 566 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.75488 10.93136,-74.77293 10.94997,-74.79549 10.94376,-74.80452 10.92427,-74.81174 10.89236,-74.81715 10.82943,-74.81084 10.76471,-74.80452 10.70707,-74.74495 10.67957,-74.72761 10.6832,-74.73309 10.72572,-74.73051 10.73101,-74.73126 10.73897,-74.72806 10.74766,-74.72715 10.776,-74.73218 10.78378,-74.74134 10.82056,-74.74405 10.84893,-74.73683 10.87198,-74.73858 10.89395,-74.7278 10.91629,-74.75488 10.93136))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 566 records were derived from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002884-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpye4d
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((25 -26,52 -26,52 5,25 5,25 -26))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panulirus homarus"
 ]
}

 The dataset includes 214 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002894-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxm2ys
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Telebasis celiovallei",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002896-251120083545085/datasets/export for details.
DOI: 10.15468/dl.yshs8e
title: Occurrence Download

description: A dataset containing 5343 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Cundinamarca, Boyacá)",
 "TaxonKey is one of (Rallus semiplumbeus [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 5343 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002897-251120083545085/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.28748499
title: ‘Knowing how it works for me’: a qualitative interview study of the use of personalised approaches to manage common challenges during Dry January

description: Participation in temporary abstinence challenges such as Dry January is associated with benefits including enduring reductions in alcohol consumption. However, undertaking temporary abstinence requires people to negotiate certain challenges. Building on previous research, we examined how and why particular strategies were used to address challenges and how use developed following January. Given differences in reported outcomes, we also explored differences and similarities in strategy use between ‘official’ UK Dry January registrants and those attempting an ‘unofficial’ alcohol-free January. We conducted 16 online semi-structured interviews with individuals who participated ‘officially’ or ‘unofficially’ in Dry January 2022 and who, prior to this, were regular drinkers. Data were analysed using reflexive thematic analysis and themes constructed around the common challenges people faced and the strategies used to address them. Four themes were generated: breaking the routine, dealing with socialising whilst not drinking, avoiding loss of motivation, and dealing with the potential for ‘failure.’ People took personalised approaches to addressing these challenges, retaining the meaning of important rituals and practices whilst still changing their alcohol consumption. This personalisation was reflected in the variation in strategy use and adaptation of strategies over time. Despite overall variation in strategy use, many strategies were employed by both ‘official’ and ‘unofficial’ participants. Dry January provides an opportunity for people to learn what strategies do and do not work for them. Capitalising on the flexibility of Dry January to offer additional opportunities for personalisation may help people get the most from their Dry January experience.
DOI: 10.6084/m9.figshare.28748499.v1
title: ‘Knowing how it works for me’: a qualitative interview study of the use of personalised approaches to manage common challenges during Dry January

description: Participation in temporary abstinence challenges such as Dry January is associated with benefits including enduring reductions in alcohol consumption. However, undertaking temporary abstinence requires people to negotiate certain challenges. Building on previous research, we examined how and why particular strategies were used to address challenges and how use developed following January. Given differences in reported outcomes, we also explored differences and similarities in strategy use between ‘official’ UK Dry January registrants and those attempting an ‘unofficial’ alcohol-free January. We conducted 16 online semi-structured interviews with individuals who participated ‘officially’ or ‘unofficially’ in Dry January 2022 and who, prior to this, were regular drinkers. Data were analysed using reflexive thematic analysis and themes constructed around the common challenges people faced and the strategies used to address them. Four themes were generated: breaking the routine, dealing with socialising whilst not drinking, avoiding loss of motivation, and dealing with the potential for ‘failure.’ People took personalised approaches to addressing these challenges, retaining the meaning of important rituals and practices whilst still changing their alcohol consumption. This personalisation was reflected in the variation in strategy use and adaptation of strategies over time. Despite overall variation in strategy use, many strategies were employed by both ‘official’ and ‘unofficial’ participants. Dry January provides an opportunity for people to learn what strategies do and do not work for them. Capitalising on the flexibility of Dry January to offer additional opportunities for personalisation may help people get the most from their Dry January experience.
DOI: 10.6084/m9.figshare.29320739
title: Product features for promoting top-selling cannabis vape products in an online retail environment

description: Cannabis vape products (CVPs) are an increasingly popular segment of the cannabis market in the U.S., yet little is known about how they are promoted in retail settings. This study examines how CVPs’ functions and effects are described in an online retail environment. In 2024, product descriptions from 343 CVPs across 78 top-selling cannabis brands were collected from a major U.S. cannabis e-commerce platform (iheartjane.com). Deductive and inductive approaches to qualitative data analysis were used to identify product feature categories and content used to promote CVPs. We identified ten key product features. The most frequently highlighted feature was flavor profile and sensation (74.1%), including general and specific flavors (e.g. fruit flavors) and sensory experiences (e.g. sweetness). Other commonly identified product features included product quality claims (42.3%, using descriptors of ‘quality,’ ‘purity,’ ‘natural,’ and ‘organic’), mood enhancement (33.8%), reduced harm (24.2%), and relaxation/tension reduction (23.9%). Less frequently mentioned product features included therapeutic effects (18.4%, mostly including misleading physical and mental health benefits), focus/creativity (16.6%), convenience/discreetness (11.1%), socialization enhancement (6.7%), and physical performance enhancement (6.1%). Flavor profile and sensation, product quality, reduced harm, and dominant psychoactive effects are the commonly used product features, potentially leading to product use interest. Misleading therapeutic effect claims may cause consumer product misuse. Understanding the content of these promotional strategies is crucial for future studies to assess their impact on consumer perceptions and behaviors related to CVP use, especially among vulnerable populations of youth and young adults, informing regulations and interventions.
DOI: 10.6084/m9.figshare.29320739.v1
title: Product features for promoting top-selling cannabis vape products in an online retail environment

description: Cannabis vape products (CVPs) are an increasingly popular segment of the cannabis market in the U.S., yet little is known about how they are promoted in retail settings. This study examines how CVPs’ functions and effects are described in an online retail environment. In 2024, product descriptions from 343 CVPs across 78 top-selling cannabis brands were collected from a major U.S. cannabis e-commerce platform (iheartjane.com). Deductive and inductive approaches to qualitative data analysis were used to identify product feature categories and content used to promote CVPs. We identified ten key product features. The most frequently highlighted feature was flavor profile and sensation (74.1%), including general and specific flavors (e.g. fruit flavors) and sensory experiences (e.g. sweetness). Other commonly identified product features included product quality claims (42.3%, using descriptors of ‘quality,’ ‘purity,’ ‘natural,’ and ‘organic’), mood enhancement (33.8%), reduced harm (24.2%), and relaxation/tension reduction (23.9%). Less frequently mentioned product features included therapeutic effects (18.4%, mostly including misleading physical and mental health benefits), focus/creativity (16.6%), convenience/discreetness (11.1%), socialization enhancement (6.7%), and physical performance enhancement (6.1%). Flavor profile and sensation, product quality, reduced harm, and dominant psychoactive effects are the commonly used product features, potentially leading to product use interest. Misleading therapeutic effect claims may cause consumer product misuse. Understanding the content of these promotional strategies is crucial for future studies to assess their impact on consumer perceptions and behaviors related to CVP use, especially among vulnerable populations of youth and young adults, informing regulations and interventions.
DOI: 10.5281/zenodo.17584555
title: Transcription-induced mutation and gBGC at the Transcriptional Start Site impact the evolution of human protein-coding genes

description: Raw data files for figures shown in manuscript
DOI: 10.5281/zenodo.17584554
title: Transcription-induced mutation and gBGC at the Transcriptional Start Site impact the evolution of human protein-coding genes

description: Raw data files for figures shown in manuscript
DOI: 10.15468/dl.vffuq2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Telebasis leptocyclia",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002898-251120083545085/datasets/export for details.
DOI: 10.15468/dl.yhbuy4
title: Occurrence Download

description: A dataset containing 455 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendroctonus mexicanus"
 ]
}

 The dataset includes 455 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002899-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17676218
title: Suplementary dataset for "Deep-seafloor ambient seismic noise monitoring for oceanic and atmospheric pressure changes"

description: This dataset contains job scripts to compute seismic velocity changes (dv/v) and various data used in the study of "Deep seafloor ambient seismic noise monitoring for oceanic and atmospheric pressure changes". Please see the README.md file for detailed descriptions of each file.
DOI: 10.5281/zenodo.14908083
title: Suplementary dataset for "Deep-seafloor ambient seismic noise monitoring for oceanic and atmospheric pressure changes"

description: This dataset contains job scripts to compute seismic velocity changes (dv/v) and various data used in the study of "Deep seafloor ambient seismic noise monitoring for oceanic and atmospheric pressure changes". Please see the README.md file for detailed descriptions of each file.
DOI: 10.15468/dl.hxajgu
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "GadmGid is USA.24_1",
 "Geometry POLYGON((-93.2317 45.37466,-93.14781 45.37466,-93.14781 45.4452,-93.2317 45.4452,-93.2317 45.37466))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Salix lucida Muhl., Salix lucida J.Walker, Salix discolor Muhl., Salix humilis Marshall, Salix humilis var. humilis, Salix interior Rowlee, Salix bebbiana Sarg., Salix myrtilloides L., Salix myrsinites L., Salix myricoides Muhl., Salix myrtillioides Andersson, Salix eriocephala Michx., Salix pedicellaris Pursh, Salix amygdaloides Andersson)"
 ]
}

 The dataset includes 121 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012913-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xackmn
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austrochloris Lazarides"
 ]
}

 The dataset includes 72 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012912-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pk62n8
title: Occurrence Download

description: A dataset containing 746 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cronius ruber (Lamarck, 1818)"
 ]
}

 The dataset includes 746 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012911-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15546596
title: 2015 - London - L1#1

description: University of Reading Grimmond Urban Micromet Group

City: London

Year: 2015

Sites: Multiple

Data Levels: L1 #1
DOI: 10.5281/zenodo.15546597
title: 2015 - London - L1#1

description: University of Reading Grimmond Urban Micromet Group

City: London

Year: 2015

Sites: Multiple

Data Levels: L1 #1
DOI: 10.6084/m9.figshare.29185280
title: Table S1

description: <b>Table S1. </b>Three-way (ANOVA) analysis of variance p-values.