cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tc498a
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyerce nigra Bergh, 1871"
 ]
}

 The dataset includes 56 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085440-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-141342
title: Renewal, no. 113 (Oct./Nov. 1984)

description: [description english/roman)] Renewal, no. 113 (Oct./Nov. 1984). Published six times per year.
DOI: 10.15468/dl.xunxaq
title: Occurrence Download

description: A dataset listing the 835 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mayotte",
 "HasCoordinate is true",
 "Year is greater than or equal to 1995",
 "Year is less than 2000",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 835 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033887-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-141325
title: Renewal, no. 113 (Oct./Nov. 1984)

description: [description english/roman)] Renewal, no. 113 (Oct./Nov. 1984). Published six times per year.
DOI: 10.15468/dl.ev2qga
title: Occurrence Download

description: A dataset containing 15627 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cylichna cylindracea (Pennant, 1777)"
 ]
}

 The dataset includes 15627 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085474-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrwhsx
title: Occurrence Download

description: A dataset containing 509406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Protozoa",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 509406 records from 1182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004927-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-143134
title: When God changes a village, 1933

description: [description english/roman)] William F.P. Burton's testimony of the Congo Evangelistic Mission's work in the Bunda villages as an example of God's missionary work in Central Africa [191 pages].
DOI: 10.15468/dl.strxsh
title: Occurrence Download

description: A dataset containing 316738 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nolidae"
 ]
}

 The dataset includes 316738 records from 672 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033900-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e207201
title: Clinician- and Patient-Directed Communication Strategies for Patients with Cancer at High Mortality Risk: A Cluster Randomized Trial

description: <b>Importance </b>Serious illness conversations (SICs) that elicit patients’ values, goals, and care preferences reduce anxiety and depression and improve quality of life, but occur infrequently for patients with cancer. Behavioral economic implementation strategies (nudges) directed at clinicians and/or patients may increase SIC completion.<br><br><b>Objective </b>To test the independent and combined effects of clinician and patient nudges on SIC completion.<br><br><b>Design, Setting, and Participants </b> A 2 × 2 factorial, cluster randomized trial was conducted from September 7, 2021, to March 11, 2022, at oncology clinics across 4 hospitals and 6 community sites within a large academic health system in Pennsylvania and New Jersey among 163 medical and gynecologic oncology clinicians and 4450 patients with cancer at high risk of mortality (≥10% risk of 180-day mortality).<br><br><b>Interventions </b>Clinician clusters and patients were independently randomized to receive usual care vs nudges, resulting in 4 arms: (1) active control, operating for 2 years prior to trial start, consisting of clinician text message reminders to complete SICs for patients at high mortality risk; (2) clinician nudge only, consisting of active control plus weekly peer comparisons of clinician-level SIC completion rates; (3) patient nudge only, consisting of active control plus a preclinic electronic communication designed to prime patients for SICs; and (4) combined clinician and patient nudges.<br><br><b>Main Outcomes and Measures</b> The primary outcome was a documented SIC in the electronic health record within 6 months of a participant’s first clinic visit after randomization. Analysis was performed on an intent-to-treat basis at the patient level.<br><br><b>Results</b> The study accrued 4450 patients (median age, 67 years [IQR, 59-75 years]; 2352 women [52.9%]) seen by 163 clinicians, randomized to active control (n = 1004), clinician nudge (n = 1179), patient nudge (n = 997), or combined nudges (n = 1270). Overall patient-level rates of 6-month SIC completion were 11.2% for the active control arm (112 of 1004), 11.5% for the clinician nudge arm (136 of 1179), 11.5% for the patient nudge arm (115 of 997), and 14.1% for the combined nudge arm (179 of 1270). Compared with active control, the combined nudges were associated with an increase in SIC rates (ratio of hazard ratios [rHR], 1.55 [95% CI, 1.00-2.40]; P = .049), whereas the clinician nudge (HR, 0.95 [95% CI, 0.64-1.41; P = .79) and patient nudge (HR, 0.99 [95% CI, 0.73-1.33]; P = .93) were not.<br><br><b>Conclusions and Relevance</b> In this cluster randomized trial, nudges combining clinician peer comparisons with patient priming questionnaires were associated with a marginal increase in documented SICs compared with an active control. Combining clinician- and patient-directed nudges may help to promote SICs in routine cancer care.
DOI: 10.3886/e207201v1
title: Clinician- and Patient-Directed Communication Strategies for Patients with Cancer at High Mortality Risk: A Cluster Randomized Trial

description: <b>Importance </b>Serious illness conversations (SICs) that elicit patients’ values, goals, and care preferences reduce anxiety and depression and improve quality of life, but occur infrequently for patients with cancer. Behavioral economic implementation strategies (nudges) directed at clinicians and/or patients may increase SIC completion.<br><br><b>Objective </b>To test the independent and combined effects of clinician and patient nudges on SIC completion.<br><br><b>Design, Setting, and Participants </b> A 2 × 2 factorial, cluster randomized trial was conducted from September 7, 2021, to March 11, 2022, at oncology clinics across 4 hospitals and 6 community sites within a large academic health system in Pennsylvania and New Jersey among 163 medical and gynecologic oncology clinicians and 4450 patients with cancer at high risk of mortality (≥10% risk of 180-day mortality).<br><br><b>Interventions </b>Clinician clusters and patients were independently randomized to receive usual care vs nudges, resulting in 4 arms: (1) active control, operating for 2 years prior to trial start, consisting of clinician text message reminders to complete SICs for patients at high mortality risk; (2) clinician nudge only, consisting of active control plus weekly peer comparisons of clinician-level SIC completion rates; (3) patient nudge only, consisting of active control plus a preclinic electronic communication designed to prime patients for SICs; and (4) combined clinician and patient nudges.<br><br><b>Main Outcomes and Measures</b> The primary outcome was a documented SIC in the electronic health record within 6 months of a participant’s first clinic visit after randomization. Analysis was performed on an intent-to-treat basis at the patient level.<br><br><b>Results</b> The study accrued 4450 patients (median age, 67 years [IQR, 59-75 years]; 2352 women [52.9%]) seen by 163 clinicians, randomized to active control (n = 1004), clinician nudge (n = 1179), patient nudge (n = 997), or combined nudges (n = 1270). Overall patient-level rates of 6-month SIC completion were 11.2% for the active control arm (112 of 1004), 11.5% for the clinician nudge arm (136 of 1179), 11.5% for the patient nudge arm (115 of 997), and 14.1% for the combined nudge arm (179 of 1270). Compared with active control, the combined nudges were associated with an increase in SIC rates (ratio of hazard ratios [rHR], 1.55 [95% CI, 1.00-2.40]; P = .049), whereas the clinician nudge (HR, 0.95 [95% CI, 0.64-1.41; P = .79) and patient nudge (HR, 0.99 [95% CI, 0.73-1.33]; P = .93) were not.<br><br><b>Conclusions and Relevance</b> In this cluster randomized trial, nudges combining clinician peer comparisons with patient priming questionnaires were associated with a marginal increase in documented SICs compared with an active control. Combining clinician- and patient-directed nudges may help to promote SICs in routine cancer care.
DOI: 10.15468/dl.xqf6pt
title: Occurrence Download

description: A dataset listing the 3357 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.28.6_2)"
 ]
}

 The dataset's 3357 records were derived from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007239-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quu5je
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Vriesea sparsiflora"
 ]
}

 The dataset includes 10 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038750-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4cw4e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 3f8a1297-3259-43bc-a1b0-29201c7f0f4b"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038751-251120083545085/datasets/export for details.
DOI: 10.15468/dl.gq3ktm
title: Occurrence Download

description: A dataset listing the 40030 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is Texas",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset's 40030 records were derived from 612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038734-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x893j4
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Semivermilia agglutinata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038753-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgpfa8
title: Occurrence Download

description: A dataset containing 2511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brephidium exilis exilis"
 ]
}

 The dataset includes 2511 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038752-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/s68dzq
title: PAN-00127685 - coin/coin-related, Gallische tegenkeizer (?), naar, antoninianus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00127685&lt;/p&gt;
description: Modified: 2025-10-21T11:19:49+02:00
DOI: 10.15468/dl.4fwgjb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctalus furvus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038754-251120083545085/datasets/export for details.
DOI: 10.15468/dl.k2ry67
title: Occurrence Download

description: A dataset containing 1317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callophrys xami"
 ]
}

 The dataset includes 1317 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038756-251120083545085/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.24665880
title: Schröder, Kalinkat, Arlinghaus 2016 data

description: We performed two sets of experiments with individual fish from the species Heterandria formosa:First, a series of behavioral assays to record swimming activity and freezing behavior. Second, feeding trials with varying prey densities. In the final step we checked if results from the behavioral assays were suitable to predict quantitative feeding behavior within the functional response model framework. We found that body size was a better predictor for feeding rates than behavioral assays. For the full methodology, as well as background, results and discussion, seeSchröder, Kalinkat and Arlinghaus (2016) Individual variation in functional response parameters is explained by body size but not by behavioural types in a poeciliid fish. Oecologia 182:1129-1140 doi:10.1007/s00442-016-3701-7
DOI: 10.6084/m9.figshare.24665880.v1
title: Schröder, Kalinkat, Arlinghaus 2016 data

description: We performed two sets of experiments with individual fish from the species Heterandria formosa:First, a series of behavioral assays to record swimming activity and freezing behavior. Second, feeding trials with varying prey densities. In the final step we checked if results from the behavioral assays were suitable to predict quantitative feeding behavior within the functional response model framework. We found that body size was a better predictor for feeding rates than behavioral assays. For the full methodology, as well as background, results and discussion, seeSchröder, Kalinkat and Arlinghaus (2016) Individual variation in functional response parameters is explained by body size but not by behavioural types in a poeciliid fish. Oecologia 182:1129-1140 doi:10.1007/s00442-016-3701-7
DOI: 10.6084/m9.figshare.30826265
title: Childhood Trauma, Sleep Indicators, Cognitive Appraisal to Daily Stressors, and Suicide Risk Indicators in UK Adults: A Daily Diary Investigation (4-11 August 2025)

description: This dataset comprises fully anonymised, 7-day daily-diary data from 168 adult, native-English UK residents recruited via Prolific; all participants reported suicidal ideation or a suicide attempt within the prior 24 months.Time frame and design: Background measures—including demographics and retrospective childhood-trauma exposure—were collected on 4 August 2025 (Day 0). The same participants then completed a 7-day diary protocol from 5–11 August 2025 (Days 1–7), with twice-daily surveys. The morning survey (08:00–13:00) assessed previous-night sleep indicators (six items). The evening survey (20:00–02:00) assessed daily hassles and suicide-risk indicators.<b>Variables collected at Morning Survey:</b>Subjective sleep quality :Higher scores indicate worse subjective sleep quality.Total sleep duration and sleep-onset latencyMorning tiredness :Higher scores reflected greater levels of morning tiredness.Pre-sleep arousal : Higher scores reflected greater levels of pre-sleep arousal.<b>Variables collected at Evening Survey:</b>Daily Stressor Appraisal Scale : from 1 (Not at all) to 7 (To a very much large extent). The level of primary appraisal is determined by calculating the average value of five specific items (items 1, 2, 3, 4, and 5). The level of secondary appraisal is determined by calculating the average value of the remaining three items (items 6, 7, and 8). The appraisal ratio is calculated by dividing the primary appraisal score by the secondary appraisal score. A higher appraisal ratio indicates that perceived demands exceed perceived resources.Perceived stress : PSS-4Defeat: Higher total score of these four items indicated greater feelings of defeat.Entrapment : Higher total score of these four items indicated greater feelings of entrapment.Reasons for living: Higher scores indicate a stronger desire to live.Raw item scores and all derived scale totals are provided. A comprehensive codebook—covering variable names, abbreviations, response formats, and scoring procedures—appears in Worksheet 2 of the file.The current datasets was approved by the Research Ethics Committee of the School of Psychology, University of Leeds (SoPREC 2976), and the main study hypotheses were preregistered at AsPredicted.org (#240917).
DOI: 10.6084/m9.figshare.30826265.v1
title: Childhood Trauma, Sleep Indicators, Cognitive Appraisal to Daily Stressors, and Suicide Risk Indicators in UK Adults: A Daily Diary Investigation (4-11 August 2025)

description: This dataset comprises fully anonymised, 7-day daily-diary data from 168 adult, native-English UK residents recruited via Prolific; all participants reported suicidal ideation or a suicide attempt within the prior 24 months.Time frame and design: Background measures—including demographics and retrospective childhood-trauma exposure—were collected on 4 August 2025 (Day 0). The same participants then completed a 7-day diary protocol from 5–11 August 2025 (Days 1–7), with twice-daily surveys. The morning survey (08:00–13:00) assessed previous-night sleep indicators (six items). The evening survey (20:00–02:00) assessed daily hassles and suicide-risk indicators.<b>Variables collected at Morning Survey:</b>Subjective sleep quality :Higher scores indicate worse subjective sleep quality.Total sleep duration and sleep-onset latencyMorning tiredness :Higher scores reflected greater levels of morning tiredness.Pre-sleep arousal : Higher scores reflected greater levels of pre-sleep arousal.<b>Variables collected at Evening Survey:</b>Daily Stressor Appraisal Scale : from 1 (Not at all) to 7 (To a very much large extent). The level of primary appraisal is determined by calculating the average value of five specific items (items 1, 2, 3, 4, and 5). The level of secondary appraisal is determined by calculating the average value of the remaining three items (items 6, 7, and 8). The appraisal ratio is calculated by dividing the primary appraisal score by the secondary appraisal score. A higher appraisal ratio indicates that perceived demands exceed perceived resources.Perceived stress : PSS-4Defeat: Higher total score of these four items indicated greater feelings of defeat.Entrapment : Higher total score of these four items indicated greater feelings of entrapment.Reasons for living: Higher scores indicate a stronger desire to live.Raw item scores and all derived scale totals are provided. A comprehensive codebook—covering variable names, abbreviations, response formats, and scoring procedures—appears in Worksheet 2 of the file.The current datasets was approved by the Research Ethics Committee of the School of Psychology, University of Leeds (SoPREC 2976), and the main study hypotheses were preregistered at AsPredicted.org (#240917).
DOI: 10.6084/m9.figshare.28563726
title: A robust method to simultaneously place sensors and calibrate parameters for urban drainage pipe system models using Bayesian decision theory

description: Urban drainage models (UDMs) require observation data from sensors for calibration before managing urban floods. However, there is often the case that sensors are not available when model calibration is required, and hence sensor placing and model calibration need to be simultaneously considered in many engineering practices. While many methods are available for either sensor deployment or model calibration with given observation data, there is a lack of approach to consider these two objectives simultaneously. To address this gap, this paper proposes a method that simultaneously enables sensor placement and model calibration using Bayesian decision theory. First, a graph partition strategy is used to ensure overall uniformity in sensor distribution. Subsequently, Bayesian Experimental Design is employed to identify optimal sensor locations by maximizing expected data worth, measured by the relative entropy between prior and posterior probabilities. The UDM is sequentially calibrated using an ensemble smoother algorithm with observation data collected from these strategically placed sensors. Effectiveness and robustness of the method are tested using two real-world UDMs of different scales under various rainfall and parameter scenarios. Comparisons with two empirical approaches, where sensors are evenly deployed or installed in flood hotspots, show that the proposed method provides more accurate water level and flood predictions with less uncertainties across various scenarios. The proposed method is anticipated to be promising in engineering applications as sensor placing and model calibration are often simultaneously needed especially for many new UDMs or existing UDMs without sensors.
DOI: 10.6084/m9.figshare.28563726.v1
title: A robust method to simultaneously place sensors and calibrate parameters for urban drainage pipe system models using Bayesian decision theory

description: Urban drainage models (UDMs) require observation data from sensors for calibration before managing urban floods. However, there is often the case that sensors are not available when model calibration is required, and hence sensor placing and model calibration need to be simultaneously considered in many engineering practices. While many methods are available for either sensor deployment or model calibration with given observation data, there is a lack of approach to consider these two objectives simultaneously. To address this gap, this paper proposes a method that simultaneously enables sensor placement and model calibration using Bayesian decision theory. First, a graph partition strategy is used to ensure overall uniformity in sensor distribution. Subsequently, Bayesian Experimental Design is employed to identify optimal sensor locations by maximizing expected data worth, measured by the relative entropy between prior and posterior probabilities. The UDM is sequentially calibrated using an ensemble smoother algorithm with observation data collected from these strategically placed sensors. Effectiveness and robustness of the method are tested using two real-world UDMs of different scales under various rainfall and parameter scenarios. Comparisons with two empirical approaches, where sensors are evenly deployed or installed in flood hotspots, show that the proposed method provides more accurate water level and flood predictions with less uncertainties across various scenarios. The proposed method is anticipated to be promising in engineering applications as sensor placing and model calibration are often simultaneously needed especially for many new UDMs or existing UDMs without sensors.