cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7g9upx
title: Occurrence Download

description: A dataset containing 1874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spartina patens)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1874 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018781-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15493/dea.mims.04542023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (July 1998 - November 1998)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 13 July 1998 and 14 November 1998. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 13 July 1998 11h00 and 14 November 1998 06h00.
DOI: 10.15493/dea.mims.05062023
title: Raw temperature data for long-term observations of bottom temperatures at Zambia Reef, Mozambique (August 2004 - April 2005)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18m off Zambia Reef, Mozambique (22.7713°S; 35.584°E), along the east coast of Southern Africa, between 12 August 2004 and 11 April 2005. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater Temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 18m off Zambia Reef, Mozambique (22.7713°S; 35.584°E), along the east coast of Southern Africa. The instrument measured hourly temperature readings between 12 August 2004 and 11 April 2005.
DOI: 10.15493/dea.mims.04532023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (January 1998 - July 1998)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 27 January 1998 and 13 July 1998. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 27 January 1998 12h00 and 13 July 1998 10h00.
DOI: 10.15493/dea.mims.04612023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (August 2001 - November 2001)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 02 August 2001 and 20 November 2001. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 02 August 2001 08h00 and 20 November 2001 17h00.
DOI: 10.15493/dea.mims.04632023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (June 2002 - November 2002)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 20 June 2002 and 29 November 2002. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 20 June 2002 12h00 and 29 November 2002 12h00.
DOI: 10.15493/dea.mims.04862023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (June 2002 - November 2002)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 20 June 2002 and 29 November 2002. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 20 June 2002 and 29 November 2002.
DOI: 10.15493/dea.mims.04602023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (December 2000 - August 2001)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 01 December 2000 and 02 August 2001. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 01 December 2000 07h00 and 02 August 2001 07h00.
DOI: 10.15493/dea.mims.04872023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (November 2002 - November 2003)

description: Bottom temperatures
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 29 November 2002 and 17 November 2003. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 29 November 2002 and 17 November 2003.
DOI: 10.15493/dea.mims.04692023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (November 2010 - October 2011)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 18 November 2010 and 24 October 2011. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument measured hourly temperature readings between 18 November 2010 10h00 and 24 October 2011 18h00.
DOI: 10.15493/dea.mims.04512023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (November 1996 - March 1997)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 15 November 1996 and 17 March 1997. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature(s) readings between 15 November 1996 09h00 and 17 March 1997 14h00.
DOI: 10.5281/zenodo.15205160
title: Node conscientious field theory (NCFT)

description: Node Consciousness Field Theory (NCFT) defines consciousness as a localized recursive resonance phenomenon within the Universal Manifold. Rather than being emergent from biological complexity, consciousness arises when a harmonic attractor within the substrate field develops sufficient coherence to generate self-referential feedback. These attractors—called nodes—anchor identity, intention, and awareness across layered ψ(t) timelines and dimensional fields. NCFT distinguishes between degrees and types of nodal awareness, formalizes nodal activation thresholds, and links node evolution to the overall structure of recursive substrate harmonics in GUTUM.
DOI: 10.5281/zenodo.15205161
title: Node conscientious field theory (NCFT)

description: Node Consciousness Field Theory (NCFT) defines consciousness as a localized recursive resonance phenomenon within the Universal Manifold. Rather than being emergent from biological complexity, consciousness arises when a harmonic attractor within the substrate field develops sufficient coherence to generate self-referential feedback. These attractors—called nodes—anchor identity, intention, and awareness across layered ψ(t) timelines and dimensional fields. NCFT distinguishes between degrees and types of nodal awareness, formalizes nodal activation thresholds, and links node evolution to the overall structure of recursive substrate harmonics in GUTUM.
DOI: 10.5281/zenodo.15253526
title: Node conscientious field theory (NCFT)

description: Node Consciousness Field Theory (NCFT) defines consciousness as a localized recursive resonance phenomenon within the Universal Manifold. Rather than being emergent from biological complexity, consciousness arises when a harmonic attractor within the substrate field develops sufficient coherence to generate self-referential feedback. These attractors—called nodes—anchor identity, intention, and awareness across layered ψ(t) timelines and dimensional fields. NCFT distinguishes between degrees and types of nodal awareness, formalizes nodal activation thresholds, and links node evolution to the overall structure of recursive substrate harmonics in GUTUM.
DOI: 10.17632/7ywttnry8x.2
title: Data and Code for: Beyond the Spike at Zero: Understanding Nominal Wage Rigidity through Empirical and Model-Based Approaches

description: The data and code contains the replication package for “Beyond the Spike at Zero: Understanding Nominal Wage Rigidity through Empirical and Model-Based Approaches,” by Yoon Joo Jo.
DOI: 10.17632/3ddfz4f2k8.2
title: Similarity over Status in Partner Selection under Competition

description: Project Description
This research investigates the tension between gender homophily (preference for same-gender partners) and strategic considerations in competitive contexts. Across three pre-registered studies, we examine whether participants prioritize strategic advantage or gender similarity when selecting competitors and teammates.
Study 1 tests partner selection patterns in individual and team-based competitions involving an arithmetic reasoning task. Contrary to Status Characteristics Theory (SCT) predictions, participants predominantly select same-gender partners in both competitor and teammate roles, suggesting a stronger influence of gender homophily than anticipated.
Study 2 employs an incentivized belief elicitation task to examine whether the unexpected results from Study 1 stem from an absence of gender-based performance expectations. Results reveal that participants actually believe women outperform men in the arithmetic task, yet still exhibit same-gender preferences in partner selection.
Study 3 tests the robustness of gender homophily by introducing explicit performance information that conflicts with homophilous preferences. Even when presented with clear performance metrics and monetary incentives, a significant proportion of participants forgo optimal strategic choices in favor of gender similarity.
Our findings establish boundary conditions for Status Characteristics Theory and demonstrate that gender homophily can persist even when it contradicts both status-based expectations and rational choice predictions.



Repository Contents
Data Files:
S1_data.csv: Participant selections and demographic data from Study 1 examining partner selection patterns
S2_v1.csv: Belief elicitation data from Study 2, Version 1 (no competition context)
S2_v2.csv: Belief elicitation data from Study 2, Version 2 (individual competition context)
S2_v3.csv: Belief elicitation data from Study 2, Version 3 (team competition context)
S3_data.csv: Study 3 data testing gender homophily against explicit performance information

Analysis Scripts:

S1_Analysis_Code.R: R script for analyzing Study 1 partner selection patterns
S2_Analysis_Code.R: R script for analyzing Study 2 belief elicitation tasks across all versions
S3_Analysis_Code.R: R script for analyzing Study 3 gender homophily against performance ratings

Otree Code is also included
DOI: 10.17632/3ddfz4f2k8.1
title: Similarity Over Status: Gender and Partner Selection in Competition

description: Project Description
This research investigates the tension between gender homophily (preference for same-gender partners) and strategic considerations in competitive contexts. Across three pre-registered studies, we examine whether participants prioritize strategic advantage or gender similarity when selecting competitors and teammates.
Study 1 tests partner selection patterns in individual and team-based competitions involving an arithmetic reasoning task. Contrary to Status Characteristics Theory (SCT) predictions, participants predominantly select same-gender partners in both competitor and teammate roles, suggesting a stronger influence of gender homophily than anticipated.
Study 2 employs an incentivized belief elicitation task to examine whether the unexpected results from Study 1 stem from an absence of gender-based performance expectations. Results reveal that participants actually believe women outperform men in the arithmetic task, yet still exhibit same-gender preferences in partner selection.
Study 3 tests the robustness of gender homophily by introducing explicit performance information that conflicts with homophilous preferences. Even when presented with clear performance metrics and monetary incentives, a significant proportion of participants forgo optimal strategic choices in favor of gender similarity.
Our findings establish boundary conditions for Status Characteristics Theory and demonstrate that gender homophily can persist even when it contradicts both status-based expectations and rational choice predictions.



Repository Contents
Data Files:
S1_data.csv: Participant selections and demographic data from Study 1 examining partner selection patterns
S2_v1.csv: Belief elicitation data from Study 2, Version 1 (no competition context)
S2_v2.csv: Belief elicitation data from Study 2, Version 2 (individual competition context)
S2_v3.csv: Belief elicitation data from Study 2, Version 3 (team competition context)
S3_data.csv: Study 3 data testing gender homophily against explicit performance information

Analysis Scripts:

S1_Analysis_Code.R: R script for analyzing Study 1 partner selection patterns
S2_Analysis_Code.R: R script for analyzing Study 2 belief elicitation tasks across all versions
S3_Analysis_Code.R: R script for analyzing Study 3 gender homophily against performance ratings

Otree Code is also included
DOI: 10.17632/6wdpxx2hfp.1
title: Responsibility-Sensitive Welfare Weights for Health

description: This data accompanies the paper Robson, O'Donnell and Van Ourti (2024), "Responsibility-Sensitive Welfare Weights for Health". In the paper, we design and run an online experiment, with a sample of the UK adult population, to estimate responsibility-sensitive welfare weights for health that facilitate inequality-and inequity-sensitive policy evaluation. Here, we provide data and code. The Welfare Weights folder contains: 1) an RData file, which includes the estimated preference parameters, and 2) an R script file, which includes a function that allows others to use our estimated preference parameters to estimate Social Marginal Welfare Weights, which can be used in health policy evaluation. Further data and code will be uploaded on publication of our paper. Please contact us if you have any questions.
DOI: 10.17632/72dd3rkttf.1
title: Video Dataset for Respiratory Rate Counting in Children

description: This dataset contains video recordings of chest movements of children under five years of age, captured for the purpose of respiratory rate (RR) assessment. The children presented at three different level of hospitals in Bangladesh with respiratory symptoms such as cough or breathing difficulty. Each child is assigned a unique child ID and has one associated video file in MP4 format, which visually documents their chest movements for RR counting. In addition to the video files, the dataset includes a Stata data file (.dta) containing complementary metadata. This file provides information on each child's demographic characteristics, reported clinical symptoms (e.g., cough, difficulty breathing), and respiratory rate as assessed by a trained video expert panel. This dataset supports research on automated or manual respiratory rate counting, clinical diagnostics, and pediatric respiratory health.
DOI: 10.17632/79grjj6brf.1
title: Ziziphus spina-christi leaves as a biomonitoring tool in Doha, Qatar.

description: The leaves of Ziziphus spina-christi were evaluated as a bioindicator for air pollution. The analysis concentrated on the increased metal concentrations present on the leaf surface. The dust accumulated on the leaves of Ziziphus spina-christi was analyzed for various elements, including aluminum (Al), barium (Ba), cadmium (Cd), chromium (Cr), copper (Cu), calcium (Ca), iron (Fe), potassium (K), magnesium (Mg), manganese (Mn), lead (Pb), and zinc (Zn), utilizing Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES). ArcGIS facilitated the mapping of the spatial distribution of metal concentrations.
DOI: 10.17632/xjbj2g5dbx
title: rice harvest and climate data in indonesia

description: This dataset provides insights into rice harvests and climate conditions in Malang, Indonesia, covering several districts over multiple years. It includes data on the harvested area, rice production, and key climate factors such as average temperature, relative humidity, rainfall, and sunshine hours. The data reveals how these climatic variables potentially impact rice yield, with variations in rainfall and sunshine hours appearing to influence production levels. By analyzing this information, researchers and agricultural professionals can gain a deeper understanding of the relationship between climate and crop output, helping to inform better agricultural practices, optimize rice farming, and predict future production trends in response to changing climate conditions.
DOI: 10.17632/xjbj2g5dbx.1
title: rice harvest and climate data in indonesia

description: This dataset provides insights into rice harvests and climate conditions in Malang, Indonesia, covering several districts over multiple years. It includes data on the harvested area, rice production, and key climate factors such as average temperature, relative humidity, rainfall, and sunshine hours. The data reveals how these climatic variables potentially impact rice yield, with variations in rainfall and sunshine hours appearing to influence production levels. By analyzing this information, researchers and agricultural professionals can gain a deeper understanding of the relationship between climate and crop output, helping to inform better agricultural practices, optimize rice farming, and predict future production trends in response to changing climate conditions.
DOI: 10.15468/dl.fpx56p
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "PublishingOrg is one of (84d451a0-644d-11de-b910-b8a03c50a862)",
 "TaxonKey is one of (Mephitidae [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 94 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025322-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.