cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30736046
title: Ecotourism suitability maps and AHP-based criteria weights for hiking, picnicking and mountain biking in Chignahuapan and Zacatlán, Puebla, Mexico

description: This dataset provides aggregated criteria weights and ecotourism suitability maps for three outdoor activities—hiking, picnicking and mountain biking—in the municipalities of Chignahuapan and Zacatlán, in the Sierra Norte of Puebla, Mexico. The information was produced within a study on how forest landscapes support ecotourism (López-Paniagua et al., 2025a) and the resulting suitability maps are also used as input for a companion analysis on the spatial prioritization of ecotourism areas under land-use change (López-Paniagua et al., 2025b).<br>López-Paniagua, C., González-Guillén, M. de J., Valdez-Lazalde, J. R., Reyes-Hernández, V. J., & Arana-Coronado, O. A. (2025a). <i>Criteria, actors, and suitable territories for ecotourism activities in central Mexico: An analytic hierarchy process</i> [Manuscript submitted for publication].López-Paniagua, C., González-Guillén, M. de J., Valdez-Lazalde, J. R., Reyes-Hernández, V. J., & Arana-Coronado, O. A. (2025b). <i>Spatial prioritization of ecotourism areas under land-use change: A case study in central Mexico</i> [Manuscript submitted for publication].The criteria weights were derived using an Analytic Hierarchy Process (AHP) framework informed by a survey of ecotourism practitioners. The hierarchy distinguishes accessibility, terrain, vegetation and proximity to water, with associated spatial indicators. Individual judgments were combined into group-level weights for each activity.Tabular files (CSV) include the final criteria and sub-criteria weights, along with simple summaries of survey participants by activity and experience. Raster files (GeoTIFF) depict categorical suitability for each activity and municipality at 30 m resolution in WGS 84 / UTM Zone 14N. Suitability is expressed in four classes, from areas not suitable for the activity to areas with high suitability.Only non-identifiable, aggregated information is provided. Detailed methodological descriptions and full survey design are reported in the related manuscripts.<i>The dataset is accompanied by a README file (</i><code><em>README_Ecotourism_AHP_Chignahuapan_Zacatlan.txt</em></code><i>) that provides detailed metadata for all files.</i>
DOI: 10.6084/m9.figshare.30736046.v1
title: Ecotourism suitability maps and AHP-based criteria weights for hiking, picnicking and mountain biking in Chignahuapan and Zacatlán, Puebla, Mexico

description: This dataset provides aggregated criteria weights and ecotourism suitability maps for three outdoor activities—hiking, picnicking and mountain biking—in the municipalities of Chignahuapan and Zacatlán, in the Sierra Norte of Puebla, Mexico. The information was produced within a study on how forest landscapes support ecotourism (López-Paniagua et al., 2025a) and the resulting suitability maps are also used as input for a companion analysis on the spatial prioritization of ecotourism areas under land-use change (López-Paniagua et al., 2025b).<br>López-Paniagua, C., González-Guillén, M. de J., Valdez-Lazalde, J. R., Reyes-Hernández, V. J., & Arana-Coronado, O. A. (2025a). <i>Criteria, actors, and suitable territories for ecotourism activities in central Mexico: An analytic hierarchy process</i> [Manuscript submitted for publication].López-Paniagua, C., González-Guillén, M. de J., Valdez-Lazalde, J. R., Reyes-Hernández, V. J., & Arana-Coronado, O. A. (2025b). <i>Spatial prioritization of ecotourism areas under land-use change: A case study in central Mexico</i> [Manuscript submitted for publication].The criteria weights were derived using an Analytic Hierarchy Process (AHP) framework informed by a survey of ecotourism practitioners. The hierarchy distinguishes accessibility, terrain, vegetation and proximity to water, with associated spatial indicators. Individual judgments were combined into group-level weights for each activity.Tabular files (CSV) include the final criteria and sub-criteria weights, along with simple summaries of survey participants by activity and experience. Raster files (GeoTIFF) depict categorical suitability for each activity and municipality at 30 m resolution in WGS 84 / UTM Zone 14N. Suitability is expressed in four classes, from areas not suitable for the activity to areas with high suitability.Only non-identifiable, aggregated information is provided. Detailed methodological descriptions and full survey design are reported in the related manuscripts.<i>The dataset is accompanied by a README file (</i><code><em>README_Ecotourism_AHP_Chignahuapan_Zacatlan.txt</em></code><i>) that provides detailed metadata for all files.</i>
DOI: 10.6084/m9.figshare.30814388
title: Spatial prioritization of ecotourism areas under land-use/land-cover change (Chignahuapan and Zacatlán, Mexico): Data and raster layers

description: This dataset provides land-use/land-cover (LULC) maps, forest-cover transition layers, deforestation-risk surfaces, and ecotourism priority maps for two municipalities in the Sierra Norte de Puebla, Mexico (Chignahuapan and Zacatlán). All rasters are single-band GeoTIFF files with 30 m spatial resolution in UTM Zone 14N (EPSG:32614), accompanied by two CSV tables summarizing LULC areas and ecotourism priority areas.LULC maps are available for 2000, 2011, and 2022, classified into five classes (urban, water bodies, livestock, forest, and agriculture). A categorical transition map encodes changes between 2000 and 2022, including forest-to-urban, forest-to-livestock, and forest-to-agriculture conversions.Deforestation-risk layers were generated using Random Forest models and represent the probability that forest pixels mapped in 2000 transition to non-forest classes by 2022. Probability maps are provided for each transition, together with combined categorical risk maps (null, low, medium, and high risk). Ecotourism priority rasters for hiking, picnicking, and mountain biking overlay deforestation risk with ecotourism suitability. The suitability information itself is available in a companion Figshare dataset (López-Paniagua et al., 2025; DOI: 10.6084/m9.figshare.30736046) and is not redistributed here; both datasets form part of a broader research effort on ecotourism and forest landscapes in central Mexico.The dataset is intended to support replication of the main analyses reported in the associated research article and to facilitate reuse of the resulting maps in spatial planning, conservation, and ecotourism management. Only aggregated spatial layers and summary tables are provided; no individual-level or household data are included. Methodological details are described in the associated research article; this dataset description focuses on basic file-level information.
DOI: 10.6084/m9.figshare.30814388.v1
title: Spatial prioritization of ecotourism areas under land-use/land-cover change (Chignahuapan and Zacatlán, Mexico): Data and raster layers

description: This dataset provides land-use/land-cover (LULC) maps, forest-cover transition layers, deforestation-risk surfaces, and ecotourism priority maps for two municipalities in the Sierra Norte de Puebla, Mexico (Chignahuapan and Zacatlán). All rasters are single-band GeoTIFF files with 30 m spatial resolution in UTM Zone 14N (EPSG:32614), accompanied by two CSV tables summarizing LULC areas and ecotourism priority areas.LULC maps are available for 2000, 2011, and 2022, classified into five classes (urban, water bodies, livestock, forest, and agriculture). A categorical transition map encodes changes between 2000 and 2022, including forest-to-urban, forest-to-livestock, and forest-to-agriculture conversions.Deforestation-risk layers were generated using Random Forest models and represent the probability that forest pixels mapped in 2000 transition to non-forest classes by 2022. Probability maps are provided for each transition, together with combined categorical risk maps (null, low, medium, and high risk). Ecotourism priority rasters for hiking, picnicking, and mountain biking overlay deforestation risk with ecotourism suitability. The suitability information itself is available in a companion Figshare dataset (López-Paniagua et al., 2025; DOI: 10.6084/m9.figshare.30736046) and is not redistributed here; both datasets form part of a broader research effort on ecotourism and forest landscapes in central Mexico.The dataset is intended to support replication of the main analyses reported in the associated research article and to facilitate reuse of the resulting maps in spatial planning, conservation, and ecotourism management. Only aggregated spatial layers and summary tables are provided; no individual-level or household data are included. Methodological details are described in the associated research article; this dataset description focuses on basic file-level information.
DOI: 10.15468/dl.ch6z68
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lima vulgaris, Lima lima vulgaris, Lima persquamifer, Lima sowerbyi, Lima sowerbyi nipponica, Lima squamosa, Limaria vulgaris, Radula squamosa, Radula squamosa interlirata, Radula squamosa interlirata)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 109 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057569-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qm3s2a
title: Occurrence Download

description: A dataset containing 1070036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 40.0",
 "DecimalLatitude is less than or equal to 45.0",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -120.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1070036 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057556-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17971533
title: KREATIV INDUSTRIYANING IQTISODIY MAZMUNI VA RIVOJLANISH TENDENSIYALARINING TAHLILI
DOI: 10.5281/zenodo.17971534
title: KREATIV INDUSTRIYANING IQTISODIY MAZMUNI VA RIVOJLANISH TENDENSIYALARINING TAHLILI
DOI: 10.15468/dl.tws5bz
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Palicourea divisorana"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057570-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvdza7
title: Occurrence Download

description: A dataset containing 140012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erica arborea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 140012 records from 396 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057554-251120083545085/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/14205670
title: Australian Football League (AFL) Database
DOI: 10.15468/dl.e5gr48
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Limaria tuberculata, Lima cubaniana, Lima exilis, Lima imbricata, Lima inflata, Lima inflata, Lima tuberculata, Lima ventricosa, Limaria inflata, Ostrea fasciata, Ostrea tuberculata)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 598 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057571-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17971509
title: GSE3494_U133B Expression Data

description: An expression signature for p53 in breast cancer predicts mutation status, transcriptional effects, and patient survival.

 The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age.
DOI: 10.5281/zenodo.17971510
title: GSE3494_U133B Expression Data

description: An expression signature for p53 in breast cancer predicts mutation status, transcriptional effects, and patient survival.

 The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age.
DOI: 10.17605/osf.io/ga3ve
title: Biomechanical Tradeoffs in Stroller Running: Reduced Vertical Impact Loading and Increased Torsional Injury Risk

description: This OSF project contains the figure-level dataset supporting: Mahoney JM, Lista A, Carbajal D, Infantolino BW, Altman-Singles AR (2025) Biomechanical tradeoffs in stroller running: Reduced vertical impact loading and increased torsional injury risk (PLOS ONE).

Participants (n = 38) completed overground running trials with and without a jogging stroller over a force plate. Primary outcomes include vertical and anterior-posterior ground reaction force metrics and free moment metrics. Resultant tibial acceleration is also included, with usable data for n = 36 participants.

The project currently includes a single Excel file, FP_data.xlsx, that contains the figure-level, paired within-subject data for Figures 1 through 5 in the paper. The workbook includes five worksheets (Fig1 to Fig5). Each worksheet is organized as paired columns for the two conditions (Control and Stroller), with one row per de-identified participant.

Analysis details align with the paper’s processing and statistics (MATLAB-based processing; bootstrapping resample size 10^6).
DOI: 10.5281/zenodo.17971556
title: TA'LIMDA SUN'IY INTELLEKTNING ISTIQBOLLARI VA MUAMMOLARI
DOI: 10.5281/zenodo.17971557
title: TA'LIMDA SUN'IY INTELLEKTNING ISTIQBOLLARI VA MUAMMOLARI
DOI: 10.15468/dl.ms8hnr
title: Occurrence Download

description: A dataset containing 6762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erica umbellata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6762 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057572-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqdwh2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Austriella corrugata, Anodontia philippinarum, Austriella sordida, Eamesiella corrugata, Eamesiella philippinarum, Loripes philippinarum, Lucina corrugata, Lucina philippinarum, Phacoides philippinarum, Pseudomiltha corrugata)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057573-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17946709
title: Mass Balance of Glaciers in the Eastern Hindu Kush from 1979 to 2002 using KH-9 Panoramic and SPOT-5 stereo imagery

description: The datasets include Digital Elevation Models generated from KH-9 and SPOT-5 stereo images and the relevant orthoimages. The data is a supplement to the paper "Brief Communication: Mass Balance of Glaciers in the Eastern Hindu Kush from 1979 to 2002 using KH-9 Panoramic and SPOT-5 stereo imagery", which is currently submitted in The Cryophere
DOI: 10.5281/zenodo.17946708
title: Mass Balance of Glaciers in the Eastern Hindu Kush from 1979 to 2002 using KH-9 Panoramic and SPOT-5 stereo imagery

description: The datasets include Digital Elevation Models generated from KH-9 and SPOT-5 stereo images and the relevant orthoimages. The data is a supplement to the paper "Brief Communication: Mass Balance of Glaciers in the Eastern Hindu Kush from 1979 to 2002 using KH-9 Panoramic and SPOT-5 stereo imagery", which is currently submitted in The Cryophere
DOI: 10.15468/dl.6bnbq2
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anolis ricordii"
 ]
}

 The dataset includes 509 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057574-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/envisat/meris/l3b/cyan/tc/5.0
title: ENVISAT MERIS Regional Binned CyAN Project, True Color (TC) Data, version 5.0
DOI: 10.5067/s3b/olci/l3m/ilw/5.0
title: Sentinel-3B OLCI Regional Mapped Inland Waters (ILW) Data, version 5.0
DOI: 10.5067/merged-s3/olci/l3b/cyan/tc/5.0
title: Merged Sentinel-3A and Sentinel-3B OLCI Regional Binned CyAN Project, True Color (TC) Data, version 5.0
DOI: 10.15468/dl.9qcv3m
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Codakia interrupta, Cytherea interrupta, Lucina interrupta)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057576-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thwbjt
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Codakia orbicularis, Chama codak, Semele warburtoni, Venus orbicularis)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 472 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057578-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17971567
title: GSE3494_U133A Expression Data

description: An expression signature for p53 in breast cancer predicts mutation status, transcriptional effects, and patient survival.

The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age.
DOI: 10.5281/zenodo.17971566
title: GSE3494_U133A Expression Data

description: An expression signature for p53 in breast cancer predicts mutation status, transcriptional effects, and patient survival.

The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age.
DOI: 10.15468/dl.69vg5x
title: Occurrence Download

description: A dataset containing 1933 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthoscelides obtectus"
 ]
}

 The dataset includes 1933 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057579-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xq9uqv
title: Occurrence Download

description: A dataset containing 603821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capsella bursa-pastoris",
 "HasCoordinate is true"
 ]
}

 The dataset includes 603821 records from 2964 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057561-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etx7me
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 {
 "or" : [
 "Geometry POLYGON((15.58575 56.17443,15.5873 56.17025,15.59007 56.17118,15.59099 56.17345,15.58931 56.17413,15.58575 56.17443))",
 "Geometry POLYGON((15.58734 56.17035,15.59021 56.17126,15.59104 56.17346,15.58913 56.17415,15.58569 56.17434,15.58516 56.17204,15.58734 56.17035))"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 127 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224266-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.