cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c9lfq
title: CCDC 2183963: Experimental Crystal Structure Determination

description: Related Article: Hien LE, Michalina Rusek, Andrzej Katrusiak|2026|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/h7kc8hxs57
title: Supplementary (Online Resource 1)

description: This dataset contains the data charting sheet used in a scoping review of digital health technologies relevant to hospital management and service delivery in low- and middle-income countries (LMICs), covering publications from 2020–2025. The dataset is provided as an Excel workbook with two sheets: (1) Reference_Map, listing the manuscript reference number (1–60), first author, year, short title, journal, and DOI link; and (2) Data_Charting, containing structured extraction fields for each study (Study_ID P01–P60) including country/region, hospital level, ward/unit, population, study design, technology category (EHR/HIS, interoperability/HIE, telehealth, wearables/RPM, analytics/CDS, or integrated bundles), interoperability standards, offline capability, adoption domains (infrastructure, training/support, workflow fit, cost/ownership, safety/security), key facilitators and barriers, validation methods (where applicable), and outcome flags (operational, clinical, and cost evidence).

All fields use short factual entries suitable for secondary analysis and public deposition. Values are recorded as NA when not reported in the full text and PARTIAL when only partially described. The Evidence_Locator field provides the page/section/table/figure pointer used to verify each extracted item. Study_IDs are stable identifiers (P01–P60), and the Ref_No_in_Manuscript column maps directly to the manuscript reference list.
DOI: 10.5517/ccdc.csd.cc2c9lgr
title: CCDC 2183964: Experimental Crystal Structure Determination

description: Related Article: Hien LE, Michalina Rusek, Andrzej Katrusiak|2026|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c9lhs
title: CCDC 2183965: Experimental Crystal Structure Determination

description: Related Article: Hien LE, Michalina Rusek, Andrzej Katrusiak|2026|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/h7kc8hxs57.1
title: Supplementary (Online Resource 1)

description: This dataset contains the data charting sheet used in a scoping review of digital health technologies relevant to hospital management and service delivery in low- and middle-income countries (LMICs), covering publications from 2020–2025. The dataset is provided as an Excel workbook with two sheets: (1) Reference_Map, listing the manuscript reference number (1–60), first author, year, short title, journal, and DOI link; and (2) Data_Charting, containing structured extraction fields for each study (Study_ID P01–P60) including country/region, hospital level, ward/unit, population, study design, technology category (EHR/HIS, interoperability/HIE, telehealth, wearables/RPM, analytics/CDS, or integrated bundles), interoperability standards, offline capability, adoption domains (infrastructure, training/support, workflow fit, cost/ownership, safety/security), key facilitators and barriers, validation methods (where applicable), and outcome flags (operational, clinical, and cost evidence).

All fields use short factual entries suitable for secondary analysis and public deposition. Values are recorded as NA when not reported in the full text and PARTIAL when only partially described. The Evidence_Locator field provides the page/section/table/figure pointer used to verify each extracted item. Study_IDs are stable identifiers (P01–P60), and the Ref_No_in_Manuscript column maps directly to the manuscript reference list.
DOI: 10.15468/dl.nfqzgf
title: Occurrence Download

description: A dataset containing 44626 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BLM - National Landscape Monitoring Framework - Plants"
 ]
}

 The dataset includes 44626 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004456-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5z44z68r8c
title: Polyphasic Characterization of Streptomyces albidoflavus, production, profiling and antibacterial activity of its exo-pigment.

description: The data supporting the findings of the current study, including the supplementary MIC analysis, inhibition percentage tables, and BLAST outputs, are included in the dataset.
DOI: 10.17632/5z44z68r8c.1
title: Polyphasic Characterization of Streptomyces albidoflavus, production, profiling and antibacterial activity of its exo-pigment.

description: The data supporting the findings of the current study, including the supplementary MIC analysis, inhibition percentage tables, and BLAST outputs, are included in the dataset.
DOI: 10.17632/zjpvzx5nrb
title: Papaya Leaf Disease Dataset

description: 1. This dataset consists of five different papaya leaf classes—Crushed Papaya Leaves, Healthy Leaf, Mold, Mosaic, and Potash Deficiency—developed to facilitate the creation of machine vision-based algorithms.

2. A total of 2,500 papaya leaf images were collected from real agricultural fields. To increase the number of data samples, various data augmentation techniques, including shifting, flipping, zooming, shearing, brightness enhancement, and rotation, were applied, resulting in a total of 15,000 augmented images derived from the original dataset.
DOI: 10.17632/zjpvzx5nrb.1
title: Papaya Leaf Disease Dataset

description: 1. This dataset consists of five different papaya leaf classes—Crushed Papaya Leaves, Healthy Leaf, Mold, Mosaic, and Potash Deficiency—developed to facilitate the creation of machine vision-based algorithms.

2. A total of 2,500 papaya leaf images were collected from real agricultural fields. To increase the number of data samples, various data augmentation techniques, including shifting, flipping, zooming, shearing, brightness enhancement, and rotation, were applied, resulting in a total of 15,000 augmented images derived from the original dataset.
DOI: 10.17632/th5mryvvmz.3
title: original data for the manuscript: Reprogramming orthogonal regulatory and metabolic system for secondary metabolite production

description: This dataset corresponds to the raw experimental data for the manuscript "Reprogramming orthogonal regulatory and metabolic system for efficient erythromycin production". It includes:
1. “Figure 2.xlsx”：Raw data supporting the "Development of orthogonal artificial control system" chapter in the main text. 
2. “Figure 3.xlsx”：Raw data supporting the "Orthogonal PCoA and MMCoA supply module" chapter in the main text. 
3. “Figure 4.xlsx”：Raw data supporting the "Fine-tuning the stoichiometry of precursors guided by in vivo kinetics" chapter in the main text. 
4. “Figure 5.xlsx”：Raw data supporting the "Orthogonal methyl donor module" chapter in the main text. 
5. “Figure 6.xlsx”：Raw data supporting the "Orthogonal desosamine and mycarose supply module" chapter in the main text. 
6. “Figure 7.xlsx”：Raw data supporting the "Scale-up of the final strain with reprogrammed orthogonal regulatory and metabolic system" and the "Broad application of reprogramming orthogonal regulatory and metabolic system" chapters in the main text. 
7. “Sup Figure.xlsx”：Raw data supporting the Supplementary Figures corresponding to this manuscript
DOI: 10.17632/r9wr5xwvj4
title: Dataset associated with: Identification With Animals Measure: French Validation and Application to Specific Human-Wildlife Relations

description: Understanding how humans identify with animals may clarify human-nature relations and related social conflicts. This research adapts the Identification With Animals Measure (IWAM, Amiot et al., 2020) into French and examines its structure and correlates across three independent samples.
Study 1 (N = 192) explored the factorial structure of the French IWAM using an Exploratory Factorial Analysis (EFA). Results replicated the original three-factor solution: Animal Pride (AP), Solidarity with Animals (SOL), and Human-Animal Similarity (SIM), but revealed inconsistencies for items 6 and 9.
Study 2 (N = 335) conducted further exploratory factorial analyses, yielding a clearer and more stable three-factor structure, although item 6 remained somewhat inconsistent. As anticipated, AP was positively associated with valuing being an animal and with pro-animal attitudes. It was negatively related to Social Dominance Orientation (SDO), in line with correlational findings by Amiot et al. (2020). Interestingly, value of being an animal positively predicted SDO in regression analyses. SOL showed robust positive associations with pro-animal attitudes, a free-meat diet, and contact with pets, and negative associations with SDO. These links remained significant when controlling for the social value of being an animal. SIM correlated positively with contact with pets and negatively with speciesism and both SDO dimensions. However, in regression models including all IWAM dimensions, contact with pets was marginally and negatively predicted, replicating a reversal pattern observed by Amiot et al. (2020), possibly reflecting resistance to domination inherent in pet ownership.
Study 3 (N = 98) examined IWAM among farmers and outdoor sports practitioners. Contrary to expectations, no significant group differences emerged on IWAM dimensions, mental capacity attributions, or SDO, although farmers (especially those working directly with animals) tended to report slightly higher means. Among farmers, SIM predicted stronger attribution of agentic traits to wild animals, whereas among sports practitioners, SOL was the key predictor.
Overall, the French IWAM demonstrates satisfactory structural validity and contextual sensitivity, highlighting that identification with animals is multidimensional and socially situated.
DOI: 10.17632/r9wr5xwvj4.1
title: Dataset associated with: Identification With Animals Measure: French Validation and Application to Specific Human-Wildlife Relations

description: Understanding how humans identify with animals may clarify human-nature relations and related social conflicts. This research adapts the Identification With Animals Measure (IWAM, Amiot et al., 2020) into French and examines its structure and correlates across three independent samples.
Study 1 (N = 192) explored the factorial structure of the French IWAM using an Exploratory Factorial Analysis (EFA). Results replicated the original three-factor solution: Animal Pride (AP), Solidarity with Animals (SOL), and Human-Animal Similarity (SIM), but revealed inconsistencies for items 6 and 9.
Study 2 (N = 335) conducted further exploratory factorial analyses, yielding a clearer and more stable three-factor structure, although item 6 remained somewhat inconsistent. As anticipated, AP was positively associated with valuing being an animal and with pro-animal attitudes. It was negatively related to Social Dominance Orientation (SDO), in line with correlational findings by Amiot et al. (2020). Interestingly, value of being an animal positively predicted SDO in regression analyses. SOL showed robust positive associations with pro-animal attitudes, a free-meat diet, and contact with pets, and negative associations with SDO. These links remained significant when controlling for the social value of being an animal. SIM correlated positively with contact with pets and negatively with speciesism and both SDO dimensions. However, in regression models including all IWAM dimensions, contact with pets was marginally and negatively predicted, replicating a reversal pattern observed by Amiot et al. (2020), possibly reflecting resistance to domination inherent in pet ownership.
Study 3 (N = 98) examined IWAM among farmers and outdoor sports practitioners. Contrary to expectations, no significant group differences emerged on IWAM dimensions, mental capacity attributions, or SDO, although farmers (especially those working directly with animals) tended to report slightly higher means. Among farmers, SIM predicted stronger attribution of agentic traits to wild animals, whereas among sports practitioners, SOL was the key predictor.
Overall, the French IWAM demonstrates satisfactory structural validity and contextual sensitivity, highlighting that identification with animals is multidimensional and socially situated.
DOI: 10.17632/28rw3j96n6
title: CHAIX_2026_DATASET-DEAFOST

description: This dataset contains the anonymised raw data from a cross-sectional survey conducted among deaf and hard-of-hearing adults living in mainland France. The survey aimed to evaluate accessibility to osteopathic care, with a particular focus on communication, patient-practitioner relationship, and healthcare pathways. All data have been fully anonymised. No directly personal information is included. The data set is provided in xls formt to allow reproductibility of statistical analyses presented in the manuscript.
The dataset includes:
- Sociodemographic variables,
- Variables related to access to healthcare and osteopathic care,
- Perceived accessibility indicators,
- Communication modalities used during consultations,
- Patient-practitioner relationship variables,
- Experience of renunciation of care,
- Knowledge and use of osteopathy.
This dataset supports the findings of the study entitled: Accessibility to osteopathy for the deaf population: a mixed-methods study to inform osteopathic care.
The authors of the study are: Adélaïde Chaix, Laura Lapeyre, Agnès Vourc’h, Marc Spaak, Bérénice Bagnol, Magali Denisot, Géraud Gourjon
DOI: 10.17632/28rw3j96n6.1
title: CHAIX_2026_DATASET-DEAFOST

description: This dataset contains the anonymised raw data from a cross-sectional survey conducted among deaf and hard-of-hearing adults living in mainland France. The survey aimed to evaluate accessibility to osteopathic care, with a particular focus on communication, patient-practitioner relationship, and healthcare pathways. All data have been fully anonymised. No directly personal information is included. The data set is provided in xls formt to allow reproductibility of statistical analyses presented in the manuscript.
The dataset includes:
- Sociodemographic variables,
- Variables related to access to healthcare and osteopathic care,
- Perceived accessibility indicators,
- Communication modalities used during consultations,
- Patient-practitioner relationship variables,
- Experience of renunciation of care,
- Knowledge and use of osteopathy.
This dataset supports the findings of the study entitled: Accessibility to osteopathy for the deaf population: a mixed-methods study to inform osteopathic care.
The authors of the study are: Adélaïde Chaix, Laura Lapeyre, Agnès Vourc’h, Marc Spaak, Bérénice Bagnol, Magali Denisot, Géraud Gourjon
DOI: 10.15468/dl.cra27k
title: Occurrence Download

description: A dataset containing 1002 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Community structure and abundance of bottlenose dolphins Tursiops truncatus in coastal waters of the northeast Gulf of Mexico"
 ]
}

 The dataset includes 1002 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004458-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fdxsthh63g
title: Metal movement and consumption in the Chełmno group of the Lusatian culture (Poland, 1200-450 BC)

description: The set of chemical and lead isotope data for a corpus of metal objects from various archaeological contexts associated with the Chełmno group of the Lusatian culture and the neighbouring regions of northern Poland. This dataset serves as an archive for research on the metal movement and consumption in the region over an extended timescale of 1200–450 BC. It has also an utility to be reused in monitoring the metal traffic in the North European Bronze and Early Iron Age. Dataset will be gradually updated as new analytical results data become available.
DOI: 10.17632/fdxsthh63g.4
title: Metal movement and consumption in the Chełmno group of the Lusatian culture (Poland, 1200-450 BC)

description: The set of chemical and lead isotope data for a corpus of metal objects from various archaeological contexts associated with the Chełmno group of the Lusatian culture and the neighbouring regions of northern Poland. This dataset serves as an archive for research on the metal movement and consumption in the region over an extended timescale of 1200–450 BC. It has also an utility to be reused in monitoring the metal traffic in the North European Bronze and Early Iron Age. Dataset will be gradually updated as new analytical results data become available.
DOI: 10.17632/53m3jm7fs3
title: Sinningia pampeana

description: Dataset containing morphological, ecological, and geographic data of a new Sinningia species from the Brazilian Pampa rocky outcrops.
DOI: 10.17632/53m3jm7fs3.1
title: Sinningia pampeana

description: Dataset containing morphological, ecological, and geographic data of a new Sinningia species from the Brazilian Pampa rocky outcrops.
DOI: 10.17632/h6v8vwzhp7
title: Evolución de las Tasas de Suicidio en América Latina (2000-2023): Análisis por País, Género y Grupo de Edad

description: Este conjunto de datos presenta la evolución de las tasas de suicidio en América Latina y el Caribe durante el período 2000-2023, basado en datos de la Organización Panamericana de la Salud (OPS/OMS), reportes nacionales y fuentes estadísticas regionales.

El dataset incluye tasas de suicidio por 100.000 habitantes desglosadas por: (1) País: Argentina, Brasil, Chile, Colombia, México, Perú, Venezuela, Ecuador, Bolivia, Uruguay, Paraguay, Guyana, Surinam y promedio regional; (2) Género: masculino, femenino y total; (3) Grupo etario: 15-29 años, 50-79 años, 80+ años y todas las edades; (4) Año: desde 2000 hasta 2023 (con énfasis en períodos clave: pre-pandemia 2019, pandemia y post-pandemia 2021-2023).

Hallazgos principales: La región de las Américas es la única en el mundo donde las tasas de suicidio han aumentado consistentemente desde el año 2000, alcanzando 9,2 muertes por 100.000 habitantes en 2021, con más de 100.760 fallecidos ese año. El incremento fue más pronunciado en mujeres (+23,1%) que en hombres (+14,4%) entre 2000-2021. Los países del Caribe (Guyana, Surinam) y del Cono Sur (Uruguay) registran las tasas más altas, mientras que la Región Andina presenta las más bajas. Los hombres representan el 71-79% de los suicidios totales. El grupo de mayores de 50 años concentra el mayor número de casos.

Fuentes: OPS/OMS, CONASAMA (México), Observatorio de Mortalidad (Argentina, Brasil, Colombia), DW, Statista, Ciencia Latina, Wikipedia/PAHO.
DOI: 10.17632/h6v8vwzhp7.1
title: Evolución de las Tasas de Suicidio en América Latina (2000-2023): Análisis por País, Género y Grupo de Edad

description: Este conjunto de datos presenta la evolución de las tasas de suicidio en América Latina y el Caribe durante el período 2000-2023, basado en datos de la Organización Panamericana de la Salud (OPS/OMS), reportes nacionales y fuentes estadísticas regionales.

El dataset incluye tasas de suicidio por 100.000 habitantes desglosadas por: (1) País: Argentina, Brasil, Chile, Colombia, México, Perú, Venezuela, Ecuador, Bolivia, Uruguay, Paraguay, Guyana, Surinam y promedio regional; (2) Género: masculino, femenino y total; (3) Grupo etario: 15-29 años, 50-79 años, 80+ años y todas las edades; (4) Año: desde 2000 hasta 2023 (con énfasis en períodos clave: pre-pandemia 2019, pandemia y post-pandemia 2021-2023).

Hallazgos principales: La región de las Américas es la única en el mundo donde las tasas de suicidio han aumentado consistentemente desde el año 2000, alcanzando 9,2 muertes por 100.000 habitantes en 2021, con más de 100.760 fallecidos ese año. El incremento fue más pronunciado en mujeres (+23,1%) que en hombres (+14,4%) entre 2000-2021. Los países del Caribe (Guyana, Surinam) y del Cono Sur (Uruguay) registran las tasas más altas, mientras que la Región Andina presenta las más bajas. Los hombres representan el 71-79% de los suicidios totales. El grupo de mayores de 50 años concentra el mayor número de casos.

Fuentes: OPS/OMS, CONASAMA (México), Observatorio de Mortalidad (Argentina, Brasil, Colombia), DW, Statista, Ciencia Latina, Wikipedia/PAHO.