cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25346038.v1
title: Mapping crop type in Northeast China during 2017-2023 (Including code for classification)

description: Northeast China is one of the most major grain production regions in China and has an overwhelming influence on regional and national food security. Crop type mapping is important for crop managements to maximize crop yield. We produced annual 10-m major crops (rice, maize and soybean) maps in Northeast China from 2017 to 2019, using a practical and transferable crop mapping approach by constructing crop-specific OIF knowledge graph (OIFKG). The overall accuracies higher than 90% (Kappa coefficient greater than 0.90), and the producer’s accuracies for rice, maize, and soybean are generally greater than 0.92 based on ground truth data. The crop maps have close agreement with the statistical data at the municipal level. This study provides a highly reliable long-term crop maps dataset, which can be helpful for regional agricultural production management.
DOI: 10.15468/dl.cv3dvd
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen, Living Specimen)",
 "Country is one of (Malaysia, Indonesia, Brunei Darussalam)",
 "DatasetKey is one of (Naturalis Biodiversity Center (NL) - Botany, Tree survey in the tropical forest of Pasoh Forest Reserve, Malaysia from 2016 to 2018, Natural History Museum (London) Collection Specimens, Herbarium specimens of Université de Montpellier 2, Institut de Botanique (MPU)), Royal Botanic Gardens, Kew - Herbarium Specimens, iNaturalist Research-grade Observations, The AAU Herbarium Database, Bioversity Collecting Mission Database, Tropicos MO Specimen Data, NMNH Extant Specimen Records (USNM, US))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (396d5f30-dea9-11db-8ab4-b8a03c50a862, 19456090-b49a-11d8-abeb-b8a03c50a862, 061b4f20-f241-11da-a328-b8a03c50a862, 2853c0e7-c758-4c9c-83a2-7c2d18967fb9, c3367060-856b-11d9-8486-b8a03c50a862, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862, a3c228d0-3110-11db-abb8-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862)",
 "TaxonKey is Garcinia forbesii King"
 ]
}

 The dataset includes 63 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003920-250426092105405/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.20071880
title: WGS of eight clinical tet(X4)-EC

description:   
Fecal carriage of <em>Escherichia coli</em> harboring <em>tet</em>(X4)-IncX1 plasmid in patients, Beijing, China
DOI: 10.6084/m9.figshare.20071880.v1
title: WGS of eight clinical tet(X4)-EC

description:   
Fecal carriage of <em>Escherichia coli</em> harboring <em>tet</em>(X4)-IncX1 plasmid in patients, Beijing, China
DOI: 10.15468/dl.7g95f2
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia melanoxylon",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024567-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5gq6rg2q
title: MassIVE MSV000100542 - Identification of a fibroblast-activating keratinocyte factor
title: Phosphoproteomic analysis of FBs (HPAd) after 0, 10, 30 minutes, or 2 hours in KC-CM (NHEK), enriched for phosphorylated serine residues, n=4.
DOI: 10.15468/dl.mzhkpp
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Etmopterus bigelowi"
 ]
}

 The dataset includes 280 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003187-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27n9qj
title: Occurrence Download

description: A dataset containing 4990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Centroscyllium nigrum"
 ]
}

 The dataset includes 4990 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003185-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ppe8a
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Etmopterus alphus"
 ]
}

 The dataset includes 32 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003186-260120142942310/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/14573712
title: Booru.org Top Leaderboard
DOI: 10.5519/qd.o9wr1n2l
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (45 records)
DOI: 10.5281/zenodo.18330443
title: SARS-CoV-2 Infektionen in Deutschland

description: Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.15468/dl.v4jgvt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.932 2.199179, 100.861686 2.193611, 100.793104 2.177043, 100.727946 2.149883, 100.667815 2.112801, 100.614194 2.066711, 100.568402 2.012747, 100.531568 1.952241, 100.504596 1.886681, 100.48815 1.817683, 100.482635 1.746946, 100.488184 1.676211, 100.504659 1.607221, 100.531655 1.541673, 100.568504 1.481181, 100.614301 1.427234, 100.667917 1.38116, 100.728033 1.344093, 100.793168 1.316945, 100.861719 1.300384, 100.932 1.294818, 101.002281 1.300384, 101.070832 1.316945, 101.135967 1.344093, 101.196083 1.38116, 101.249699 1.427234, 101.295496 1.481181, 101.332345 1.541673, 101.359341 1.607221, 101.375816 1.676211, 101.381365 1.746946, 101.37585 1.817683, 101.359404 1.886681, 101.332432 1.952241, 101.295598 2.012747, 101.249806 2.066711, 101.196185 2.112801, 101.136054 2.149883, 101.070896 2.177043, 101.002314 2.193611, 100.932 2.199179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003189-260120142942310/datasets/export for details.
DOI: 10.15468/dl.b5n48g
title: Occurrence Download

description: A dataset containing 2460 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-71.977 5.993139, -72.047646 5.987568, -72.11654799999999 5.970993, -72.182006 5.943823, -72.242406 5.906728, -72.29625799999999 5.860624, -72.342236 5.806647, -72.379209 5.746129, -72.406268 5.680563, -72.42274999999999 5.611562, -72.428252 5.540828, -72.42264400000001 5.470102, -72.406066 5.401126, -72.37893200000001 5.335596, -72.34191 5.275126, -72.29591499999999 5.221201, -72.24208 5.175149, -72.181729 5.138101, -72.11634599999999 5.110968, -72.04754 5.094417, -71.977 5.088854, -71.90646 5.094417, -71.837654 5.110968, -71.772271 5.138101, -71.71192000000001 5.175149, -71.658085 5.221201, -71.61208999999999 5.275126, -71.575068 5.335596, -71.547934 5.401126, -71.531356 5.470102, -71.52574799999999 5.540828, -71.53125 5.611562, -71.547732 5.680563, -71.574791 5.746129, -71.61176399999999 5.806647, -71.657742 5.860624, -71.71159400000001 5.906728, -71.77199400000001 5.943823, -71.837452 5.970993, -71.90635399999999 5.987568, -71.977 5.993139))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2460 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003190-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/30198559
title: Data from: Assessing intervention effectiveness at promoting voluntary conservation practice adoption in agrienvironments

description: This dataset supports the analysis found in Read and Wainger 2023 "Assessing intervention effectiveness at promoting voluntary conservation practice adoption in agrienvironments" (DOI: https://doi.org/10.1111/cobi.14009). The data describe existing, published studies on the factors influencing individual farmers' adoption of agricultural conservation practices. For the first dataset, which describes behavioral studies, each row represents one relationship between an independent and dependent variable found in the literature. Thus, the same article can have several rows depending on what statistical relationships it tested. The columns are attributes of the studies (see Table 1 in the publication for attribute descriptions). Using these data along with the R script appended to the publication, a logistic metaregression can be conducted to understand how the attributes of different studies influence the likelihood that they will find a statistically significant relationship between the variables tested and whether conservation practices were adopted. The second dataset, which describes perceptual studies, is organized similarly, but includes columns for main themes of the papers, which are then aggregated across studies. This dataset is not meant to be used for any regression analysis. Data were collected by the authors via download from Google Scholar in May 2020.
DOI: 10.15482/usda.adc/30198559.v1
title: Data from: Assessing intervention effectiveness at promoting voluntary conservation practice adoption in agrienvironments

description: This dataset supports the analysis found in Read and Wainger 2023 "Assessing intervention effectiveness at promoting voluntary conservation practice adoption in agrienvironments" (DOI: https://doi.org/10.1111/cobi.14009). The data describe existing, published studies on the factors influencing individual farmers' adoption of agricultural conservation practices. For the first dataset, which describes behavioral studies, each row represents one relationship between an independent and dependent variable found in the literature. Thus, the same article can have several rows depending on what statistical relationships it tested. The columns are attributes of the studies (see Table 1 in the publication for attribute descriptions). Using these data along with the R script appended to the publication, a logistic metaregression can be conducted to understand how the attributes of different studies influence the likelihood that they will find a statistically significant relationship between the variables tested and whether conservation practices were adopted. The second dataset, which describes perceptual studies, is organized similarly, but includes columns for main themes of the papers, which are then aggregated across studies. This dataset is not meant to be used for any regression analysis. Data were collected by the authors via download from Google Scholar in May 2020.
DOI: 10.5281/zenodo.18330326
title: Estimating minimum sample size for detecting phenotypic imorphism using computational simulations

description: Polymorphism, a phenomenon in nature, is the occurrence of different morphs of a trait within the population of a single species. Polymorphism can play a crucial role in species diversification, genetic variation, and adaptation. Detecting polymorphism in a single character helps to understand population dynamics, particularly in species that inhabit diverse environments. However, detecting polymorphism in fossil taxa presents methodological and interpretative challenges due to the fragmentary and incomplete nature of fossil taxa. Dimorphism, defined as the occurrence of different morphs of a trait within the population of a single species, represents the simplest and most common form of polymorphism. In this study, we focus on dimorphism instead of polymorphism, which allows for a more streamlined analysis. We used computational simulation experiments to estimate the minimum sample size required to detect a bimodal distribution in univariate morphological variables. First, we describe the morphological diversity of a measured variable (e.g., body mass or skeletal length) as a probability density function with specific parameter sets. Subsequently, we simulated the diversity of the measured variable with varying sample sizes and conducted resampling procedures to ensure the robustness. Four key parameters that characterize the probability distribution are identified as having significant influence on the minimum sample size for dimorphism recognition. According to the simulation experiments, a model was built to estimate the minimum sample size for dimorphism recognition based on these parameters. A dataset from extant avian species was used to test the model. Furthermore, we calculated a reference for the minimal sample size required for assessing phenotypic dimorphism in fossil avian taxa by applying parameters derived from extant avian species.
DOI: 10.5281/zenodo.18330325
title: Estimating minimum sample size for detecting phenotypic imorphism using computational simulations

description: Polymorphism, a phenomenon in nature, is the occurrence of different morphs of a trait within the population of a single species. Polymorphism can play a crucial role in species diversification, genetic variation, and adaptation. Detecting polymorphism in a single character helps to understand population dynamics, particularly in species that inhabit diverse environments. However, detecting polymorphism in fossil taxa presents methodological and interpretative challenges due to the fragmentary and incomplete nature of fossil taxa. Dimorphism, defined as the occurrence of different morphs of a trait within the population of a single species, represents the simplest and most common form of polymorphism. In this study, we focus on dimorphism instead of polymorphism, which allows for a more streamlined analysis. We used computational simulation experiments to estimate the minimum sample size required to detect a bimodal distribution in univariate morphological variables. First, we describe the morphological diversity of a measured variable (e.g., body mass or skeletal length) as a probability density function with specific parameter sets. Subsequently, we simulated the diversity of the measured variable with varying sample sizes and conducted resampling procedures to ensure the robustness. Four key parameters that characterize the probability distribution are identified as having significant influence on the minimum sample size for dimorphism recognition. According to the simulation experiments, a model was built to estimate the minimum sample size for dimorphism recognition based on these parameters. A dataset from extant avian species was used to test the model. Furthermore, we calculated a reference for the minimal sample size required for assessing phenotypic dimorphism in fossil avian taxa by applying parameters derived from extant avian species.
DOI: 10.6084/m9.figshare.31118737
title: Employer perspectives on hiring entry-level geoscientists: Essential knowledge, skills, dispositions, and their assessment

description: The transition from an undergraduate degree program to the workforce can be challenging for recent geoscience graduates, as they must acquire the appropriate skills, effectively search for open positions, and communicate their qualifications to potential employers. We conducted interviews with 16 geoscience employers from three sectors (extractive industries, government, scientific and technical services) to determine which skills are most important to employers when hiring entry-level geoscientists, and how they find and assess those qualities in applicants. Participants assumed applicants with bachelor’s degrees would have broad geoscience background knowledge and be familiar with the language of the discipline. Participants emphasized the importance of communication and field skills, in alignment with the frequent appearance of these skills in job ads, and they expected to train new employees on job-specific skills. Equally important, are dispositions like collaboration, a desire to learn, and flexibility which are less frequently mentioned in ads. Most participants relied on online job ads and used word of mouth and personal connections to recruit applicants. Employers assess candidates throughout the application process, including informal interactions like emails, formal application materials including resumes and cover letters, interviews, and practical exercises in which candidates were expected to demonstrate desired skills. These results lead to recommendations for integrating workforce preparation across undergraduate geoscience programs to better support students’ successful transition into the workforce.
DOI: 10.6084/m9.figshare.31118737.v1
title: Employer perspectives on hiring entry-level geoscientists: Essential knowledge, skills, dispositions, and their assessment

description: The transition from an undergraduate degree program to the workforce can be challenging for recent geoscience graduates, as they must acquire the appropriate skills, effectively search for open positions, and communicate their qualifications to potential employers. We conducted interviews with 16 geoscience employers from three sectors (extractive industries, government, scientific and technical services) to determine which skills are most important to employers when hiring entry-level geoscientists, and how they find and assess those qualities in applicants. Participants assumed applicants with bachelor’s degrees would have broad geoscience background knowledge and be familiar with the language of the discipline. Participants emphasized the importance of communication and field skills, in alignment with the frequent appearance of these skills in job ads, and they expected to train new employees on job-specific skills. Equally important, are dispositions like collaboration, a desire to learn, and flexibility which are less frequently mentioned in ads. Most participants relied on online job ads and used word of mouth and personal connections to recruit applicants. Employers assess candidates throughout the application process, including informal interactions like emails, formal application materials including resumes and cover letters, interviews, and practical exercises in which candidates were expected to demonstrate desired skills. These results lead to recommendations for integrating workforce preparation across undergraduate geoscience programs to better support students’ successful transition into the workforce.
DOI: 10.15468/dl.kjxcm7
title: Occurrence Download

description: A dataset containing 332266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "Country is one of (Türkiye, Greece, Iran (Islamic Republic of), Russian Federation, Azerbaijan, Belarus, Ukraine, Armenia, Turkmenistan, Kazakhstan, Georgia, Lebanon, Israel, Libya, Iraq, Syrian Arab Republic, Saudi Arabia, Palestine, State of, Jordan, Afghanistan, Egypt, Tunisia, Algeria, Morocco, Albania, Kosovo, Serbia, Bosnia and Herzegovina, Slovenia, Croatia, Moldova, Republic of)",
 "Geometry POLYGON((-180 25,180 25,180 90,-180 90,-180 25))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acer, Tilia, Fraxinus, Populus, Salix)"
 ]
}

 The dataset includes 332266 records from 406 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003163-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17368256
title: Volatile-rich evolution of molten super-Earth L 98-59 d (simulations and code)

description: Includes simulation data and plots produced by PROTEUS for our paper on the evolution of super-Earth L 98-59 d.

Summary of content is given in the table below.




Archive file
Content


l98d_main
Distilled data from main grid of main 900 simulations. Including atmosphere/interior profiles results in too much data for upload (>250 GB) so this just includes the most important information. These are CSV files (created by Pandas) which tabulate scalar quanities over time (e.g. Tsurf, Psurf, OLR, Radius) for each simulation. Also log and config files.


l98d_updated1
Updated grid of simulations for comparison against new density estimate by Cadieux+25, distilled in same manner as `l98d_main`, but also including some plots. Generated for paper revisions.


l98d_chemstudy
Case study of atmospheric chemistry with VULCAN from one of the simulation grid points. Includes full data.


l98d_sens_bands
Grid of 3 simulations testing sensitivity to spectral bands. Includes full data.


l98d_sens_corefrac
Grid of 25 testing sensitivity to corefraction. Includes full data.


l98d_sens_eccentric
Grid of 25 testing sensitivity to eccentricity. Includes full data.


l98d_sens_escape
Grid of 25 testing sensitivity to escape efficiency. Includes full data.




Other zip files contain archives of the the simulation codes and analysis scripts used to produce our article.