cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/uschist-c104-232134
title: Southern California alumni review, vol. 34, no. 6 (1953 Mar.)

description: Southern California alumni review, vol. 34, no. 6 (1953 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232217
title: Southern California alumni review, vol. 35, no. 1 (1953 Oct.)

description: Southern California alumni review, vol. 35, no. 1 (1953 October). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232219
title: Southern California alumni review, vol. 35, no. 1 (1953 Oct.)

description: Southern California alumni review, vol. 35, no. 1 (1953 October). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232222
title: Southern California alumni review, vol. 35, no. 1 (1953 Oct.)

description: Southern California alumni review, vol. 35, no. 1 (1953 October). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232228
title: Southern California alumni review, vol. 35, no. 1 (1953 Oct.)

description: Southern California alumni review, vol. 35, no. 1 (1953 October). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232237
title: Southern California alumni review, vol. 35, no. 2 (1953 Nov.)

description: Southern California alumni review, vol. 35, no. 2 (1953 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-250749
title: Southern California alumni review, vol. 36, no. 5 (1955 Feb.)

description: Southern California alumni review, vol. 37 [sic, i.e. 36], no. 5 (1955 February). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232436
title: Southern California alumni review, vol. 36, no. 6 (1955 Mar.)

description: Southern California alumni review, vol. 36, no. 6 (1955 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232446
title: Southern California alumni review, vol. 36, no. 6 (1955 Mar.)

description: Southern California alumni review, vol. 36, no. 6 (1955 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232450
title: Southern California alumni review, vol. 36, no. 6 (1955 Mar.)

description: Southern California alumni review, vol. 36, no. 6 (1955 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232451
title: Southern California alumni review, vol. 36, no. 6 (1955 Mar.)

description: Southern California alumni review, vol. 36, no. 6 (1955 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232347
title: Southern California alumni review, vol. 36, no. 2 (1954 Nov.)

description: Southern California alumni review, vol. 36, no. 2 (1954 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232348
title: Southern California alumni review, vol. 36, no. 2 (1954 Nov.)

description: Southern California alumni review, vol. 36, no. 2 (1954 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232355
title: Southern California alumni review, vol. 36, no. 2 (1954 Nov.)

description: Southern California alumni review, vol. 36, no. 2 (1954 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232364
title: Southern California alumni review, vol. 36, no. 2 (1954 Nov.)

description: Southern California alumni review, vol. 36, no. 2 (1954 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.6084/m9.figshare.31382911
title: A New Peer Reviewer? Comparing AI versus Human Performance in RCT Risk-of-Bias Assessment

description: <b>Background: </b>Risk-of-bias (RoB) appraisal is essential to evidence synthesis but remains time-consuming and subjective. Artificial intelligence (AI) has the potential to introduce efficiency in systematic reviews but its reliability in reproducing expert RoB decisions is uncertain. This study compares AI and human performance in RoB assessment of randomized controlled trials (RCTs) with the revised Joanna Briggs Institute (JBI) critical appraisal tool.<b>Methods: </b>Thirteen 2023-2025 orthopedic journal RCTs were independently rated by two human raters (expert, R1; novice, R2) and two AI models (ChatGPT-4.0, DeepSeek-R1) using the 13-domain JBI checklist. Deep-reasoning functions (e.g., Chain-of-Thought) were engaged. Inter-rater agreement, R1 deviations (gold standard), and binary flips (e.g., "Yes" vs. "No" disagreements) were investigated to determine appraisal consistency.<b>Results: </b>AI models showed high inter-model concordance (91%), higher than human–AI concordance (CGPT and R1: 64%; DS and R1: 68%). AI systems both diverged significantly from expert view in interpretive judgment domains such as allocation concealment (Q2), blinding (Q7), and trial structure overall (Q13) with deviation rates ranging from 30% to 38.5%. Reversals of binary decisions were significantly more common in AI assessment (CGPT: 8.9%, DS: 7.7%) than in the human comparator (R2 vs. R1: 2.4%). Human performance was better in contextual comprehension (R1–R2 agreement: 89.3%), but AI systems fared better in formal, rule-based activities (Q8/Q9: 100% agreement).<b>Conclusion: </b>AI can reliably automate objective components of RoB appraisal but struggles with interpretive and context-dependent judgments. Combining AI pre-screening with expert review may improve the scalability of systematic reviews without compromising methodological rigor.
DOI: 10.6084/m9.figshare.31382911.v1
title: A New Peer Reviewer? Comparing AI versus Human Performance in RCT Risk-of-Bias Assessment

description: <b>Background: </b>Risk-of-bias (RoB) appraisal is essential to evidence synthesis but remains time-consuming and subjective. Artificial intelligence (AI) has the potential to introduce efficiency in systematic reviews but its reliability in reproducing expert RoB decisions is uncertain. This study compares AI and human performance in RoB assessment of randomized controlled trials (RCTs) with the revised Joanna Briggs Institute (JBI) critical appraisal tool.<b>Methods: </b>Thirteen 2023-2025 orthopedic journal RCTs were independently rated by two human raters (expert, R1; novice, R2) and two AI models (ChatGPT-4.0, DeepSeek-R1) using the 13-domain JBI checklist. Deep-reasoning functions (e.g., Chain-of-Thought) were engaged. Inter-rater agreement, R1 deviations (gold standard), and binary flips (e.g., "Yes" vs. "No" disagreements) were investigated to determine appraisal consistency.<b>Results: </b>AI models showed high inter-model concordance (91%), higher than human–AI concordance (CGPT and R1: 64%; DS and R1: 68%). AI systems both diverged significantly from expert view in interpretive judgment domains such as allocation concealment (Q2), blinding (Q7), and trial structure overall (Q13) with deviation rates ranging from 30% to 38.5%. Reversals of binary decisions were significantly more common in AI assessment (CGPT: 8.9%, DS: 7.7%) than in the human comparator (R2 vs. R1: 2.4%). Human performance was better in contextual comprehension (R1–R2 agreement: 89.3%), but AI systems fared better in formal, rule-based activities (Q8/Q9: 100% agreement).<b>Conclusion: </b>AI can reliably automate objective components of RoB appraisal but struggles with interpretive and context-dependent judgments. Combining AI pre-screening with expert review may improve the scalability of systematic reviews without compromising methodological rigor.
DOI: 10.25549/uschist-c104-232370
title: Southern California alumni review, vol. 36, no. 3 (1954 Dec.)

description: Southern California alumni review, vol. 36, no. 3 (1954 December). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232244
title: Southern California alumni review, vol. 35, no. 2 (1953 Nov.)

description: Southern California alumni review, vol. 35, no. 2 (1953 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232245
title: Southern California alumni review, vol. 35, no. 2 (1953 Nov.)

description: Southern California alumni review, vol. 35, no. 2 (1953 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232246
title: Southern California alumni review, vol. 35, no. 2 (1953 Nov.)

description: Southern California alumni review, vol. 35, no. 2 (1953 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.15468/dl.hd4x7t
title: Occurrence Download

description: A dataset containing 1566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Alouatta palliata",
 "Year 2010-2026"
 ]
}

 The dataset includes 1566 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032983-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-232257
title: Southern California alumni review, vol. 35, no. 2 (1953 Nov.)

description: Southern California alumni review, vol. 35, no. 2 (1953 November). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232274
title: Southern California alumni review, vol. 35, no. 3 (1953 Dec.)

description: Southern California alumni review, vol. 35, no. 3 (1953 December). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232116
title: Southern California alumni review, vol. 34, no. 5 (1953 Feb.)

description: Southern California alumni review, vol. 34, no. 5 (1953 February). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232117
title: Southern California alumni review, vol. 34, no. 5 (1953 Feb.)

description: Southern California alumni review, vol. 34, no. 5 (1953 February). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232119
title: Southern California alumni review, vol. 34, no. 5 (1953 Feb.)

description: Southern California alumni review, vol. 34, no. 5 (1953 February). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.15468/dl.q7nnmz
title: Occurrence Download

description: A dataset containing 714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.79688 8.1942,-74.5707 6.50661,-74.29081 5.74925,-73.59107 5.62577,-73.06421 5.75748,-72.63614 6.30081,-72.38918 6.64656,-72.52089 7.03347,-72.78432 7.42038,-73.1383 7.80729,-73.79688 8.1942))",
 "TaxonKey is Cyathea"
 ]
}

 The dataset includes 714 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032984-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-232125
title: Southern California alumni review, vol. 34, no. 6 (1953 Mar.)

description: Southern California alumni review, vol. 34, no. 6 (1953 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232127
title: Southern California alumni review, vol. 34, no. 6 (1953 Mar.)

description: Southern California alumni review, vol. 34, no. 6 (1953 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232130
title: Southern California alumni review, vol. 34, no. 6 (1953 Mar.)

description: Southern California alumni review, vol. 34, no. 6 (1953 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232132
title: Southern California alumni review, vol. 34, no. 6 (1953 Mar.)

description: Southern California alumni review, vol. 34, no. 6 (1953 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.25549/uschist-c104-232133
title: Southern California alumni review, vol. 34, no. 6 (1953 Mar.)

description: Southern California alumni review, vol. 34, no. 6 (1953 March). Published eight times a year, monthly from October to May, inclusive.
DOI: 10.5281/zenodo.15102146
title: BETA-FOR_SPZ_Tree inventory_aggregated_patch-species

description: BETA-FOR tree inventory data aggregated to the species and patch level.

 
description: Variables Description################

*patchlabel_betafor: Full unique patch ID (Region + district + patch); Character, e.g. U03EDB001

*patch_id: Unique patch ID; Integer, 1-234

*patch_area: Patch area; Continuous, around 0.25 ha

*spec_lat: Scientific species name; Character

*age: Stand age (from forestry records, or estimated by local foresters); Integer

*date_t1: Date of first census; Date: yyyy-mm-dd hh:mm

*date_t2: Date of second census; Date: yyyy-mm-dd hh:mm

*ba_abs_t1: Absolute basal area at first census; Continuous, m²

*ba_abs_t2: Absolute basal area at second census; Continuous, m²

*n_stems_abs_t1,: Absolute number of stems at first census; Integer

*n_stems_abs_t2: Absolute number of stems at second census; Integer

*mean_dbh_t1: Mean diameter at breast height at first census; Continuous, mm

*mean_dbh_t2: Mean diameter at breast height at second census; Continuous, mm

*ba_per_ha_t1: Basal area per hectar at first census; Continuous, m² ha-1

*ba_per_ha_t2: Basal area per hectar at second census; Continuous, m² ha-1

*n_stems_per_ha_t1: Number of stems per hectar at first census; Continuous, ha-1

*n_stems_per_ha_t2: Number of stems per hectar at second census; Continuous, ha-1

*ba_percent_t1: Relative basal area compared to the whole community at first census; Continuous, 0-100%

*ba_percent_t2: Relative basal area compared to the whole community at second census; Continuous, 0-100%

*n_stems_percent_t1: Relative number of stems compared to the whole community at first census; Continuous, 0-100%

*n_stems_percent_t2: Relative number of stems compared to the whole community at second census; Continuous, 0-100%

*n_stems_surv: Survivors: number of stems; Integer

*n_stems_mort: Mortality: number of stems; Integer

*n_stems_recr: Recruits: number of stems; Integer

*ba_recr_abs: Absolute basal area of recruits; Continuous, m²

*ba_mort_abs: Absolute basal area of mortality; Continuous, m²

*bai_surv_abs: Absolute basal area increment of survivors (growth); Continuous, m²

*bai_budget_abs: Absolute basal area increment budget including growth, mortality and recruitment (t2 - t1); Continuous, m²

*ba_recr_ha_a: Basal area of recruits per hectar and year; Continuous, m² ha-1 yr-1

*ba_mort_ha_a: Basal area of mortality per hectar and year; Continuous, m² ha-1 yr-1

*bai_surv_ha_a: Basal area increment of survivors (growth) per hectar and year; Continuous, m² ha-1 yr-1

*bai_budget_ha_a: Basal area increment budget including growth, mortality and recruitment (t2 - t1) per hectar and year; Continuous, m² ha-1 yr-1
DOI: 10.5281/zenodo.15102147
title: BETA-FOR_SPZ_Tree inventory_aggregated_patch-species

description: BETA-FOR tree inventory data aggregated to the species and patch level.

 
description: Variables Description################

*patchlabel_betafor: Full unique patch ID (Region + district + patch); Character, e.g. U03EDB001

*patch_id: Unique patch ID; Integer, 1-234

*patch_area: Patch area; Continuous, around 0.25 ha

*spec_lat: Scientific species name; Character

*age: Stand age (from forestry records, or estimated by local foresters); Integer

*date_t1: Date of first census; Date: yyyy-mm-dd hh:mm

*date_t2: Date of second census; Date: yyyy-mm-dd hh:mm

*ba_abs_t1: Absolute basal area at first census; Continuous, m²

*ba_abs_t2: Absolute basal area at second census; Continuous, m²

*n_stems_abs_t1,: Absolute number of stems at first census; Integer

*n_stems_abs_t2: Absolute number of stems at second census; Integer

*mean_dbh_t1: Mean diameter at breast height at first census; Continuous, mm

*mean_dbh_t2: Mean diameter at breast height at second census; Continuous, mm

*ba_per_ha_t1: Basal area per hectar at first census; Continuous, m² ha-1

*ba_per_ha_t2: Basal area per hectar at second census; Continuous, m² ha-1

*n_stems_per_ha_t1: Number of stems per hectar at first census; Continuous, ha-1

*n_stems_per_ha_t2: Number of stems per hectar at second census; Continuous, ha-1

*ba_percent_t1: Relative basal area compared to the whole community at first census; Continuous, 0-100%

*ba_percent_t2: Relative basal area compared to the whole community at second census; Continuous, 0-100%

*n_stems_percent_t1: Relative number of stems compared to the whole community at first census; Continuous, 0-100%

*n_stems_percent_t2: Relative number of stems compared to the whole community at second census; Continuous, 0-100%

*n_stems_surv: Survivors: number of stems; Integer

*n_stems_mort: Mortality: number of stems; Integer

*n_stems_recr: Recruits: number of stems; Integer

*ba_recr_abs: Absolute basal area of recruits; Continuous, m²

*ba_mort_abs: Absolute basal area of mortality; Continuous, m²

*bai_surv_abs: Absolute basal area increment of survivors (growth); Continuous, m²

*bai_budget_abs: Absolute basal area increment budget including growth, mortality and recruitment (t2 - t1); Continuous, m²

*ba_recr_ha_a: Basal area of recruits per hectar and year; Continuous, m² ha-1 yr-1

*ba_mort_ha_a: Basal area of mortality per hectar and year; Continuous, m² ha-1 yr-1

*bai_surv_ha_a: Basal area increment of survivors (growth) per hectar and year; Continuous, m² ha-1 yr-1

*bai_budget_ha_a: Basal area increment budget including growth, mortality and recruitment (t2 - t1) per hectar and year; Continuous, m² ha-1 yr-1
DOI: 10.21227/5q0x-xz93
title: "Implantation of Bioreactor-Conditioned Plant-Based Vascular Grafts"

description: "This dataset supports an in vivo evaluation of plant-based vascular grafts for small-diameter vessel replacement. Grafts were made from decellularized leatherleaf viburnum reinforced with cross-linked gelatin and conditioned in a bioreactor before implantation in a rat model. Plant-derived grafts maintained patency and supported endothelialization, with histology and electron microscopy suggesting similarities to native vascular tissue. These findings demonstrate the feasibility of using plant-based scaffolds in vascular applications and their potential for advancing tissue-engineered graft design."
DOI: 10.15468/dl.cv9c8h
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus norvegicus",
 "Country is Sri Lanka",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023609-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15102201
title: BETA-FOR_SPZ_Tree inventory_aggregated_patch

description: BETA-FOR tree inventory aggregated to the patch level.
description: Variables Description################

*patchlabel_betafor: Full unique patch ID (Region + district + patch); Character, e.g. U03EDB001

*patch_id: Unique patch ID; Integer, 1-234

*ageStand: age (from forestry records, or estimated by local foresters); Integer

*date_t1: Date of first census; Date: yyyy-mm-dd, hh:mm

*date_t2: Date of second census; Date: yyyy-mm-dd, hh:mm

*ba_abs_t1: Absolute basal area at first census; Continuous

*ba_abs_t2: Absolute basal area at second census; Continuous, m²

*n_stems_abs_t1: Absolute number of stems at first census; Integer

*n_stems_abs_t2: Absolute number of stems at second census; Integer

*mean_dbh_t1: Mean diameter at breast height at first census; Continuous, mm

*mean_dbh_t2: Mean diameter at breast height at second census; Continuous, mm

*ba_per_ha_t1: Basal area per hectar at first census; Continuous, m² ha-1

*ba_per_ha_t2: Basal area per hectar at second census; Continuous, m² ha-1

*n_stems_per_ha_t1: Number of stems per hectar at first census; Continuous, ha-1

*n_stems_per_ha_t2: Number of stems per hectar at second census; Continuous, ha-1

*area: Patch area; Continuous, Around 0.25 ha

*n_stems_mort: Mortality: number of stems; Integer

*n_stems_recr: Recruits: number of stems; Integer

*n_stems_surv: Survivors: number of stems; Integer

*ba_recr_abs: Absolute basal area of recruits; Continuous, m²

*ba_mort_abs: Absolute basal area of mortality; Continuous, m²

*bai_surv_abs: Absolute basal area increment of survivors (growth); Continuous, m²

*bai_budget_abs: Absolute basal area increment budget including growth, mortality and recruitment (t2 - t1); Continuous, m²

*ba_recr_ha_a: Basal area of recruits per hectar and year; Continuous, m² ha-1 yr-1

*ba_mort_ha_a: Basal area of mortality per hectar and year; Continuous, m² ha-1 yr-1

*bai_surv_ha_a: Basal area increment of survivors (growth) per hectar and year; Continuous, m² ha-1 yr-1

*bai_budget_ha_a: Basal area increment budget including growth, mortality and recruitment (t2 - t1) per hectar and year; Continuous, m² ha-1 yr-1

*hillnr_q0_t1: Hill number q = 0 at first  census; Integer

*hillnr_q1_t1: Hill number q = 1 at first census; Continuous

*hillnr_q2_t1: Hill number q = 2 at first census; Continuous

*hillnr_q0_t2: Hill number q = 0 at second census; Integer

*hillnr_q1_t2: Hill number q = 1 at second census; Continuous

*hillnr_q2_t2: Hill number q = 2 at second census;Continuous