cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31277454.v1
title: Age-Specific Prevalence of Trachoma in Remote Australian Communities

description: Trachoma is endemic in Australia, affecting remote Indigenous communities in northern, central and western Australia. The World Health Organization (WHO) defines a key requirement of elimination as a public health problem being the prevalence of active trachoma (characterised as trachomatis inflammation – follicular) below 5% in children aged 1–9 years. In Australia, screening is based in school settings and focuses on children aged 5–9 years. There is international evidence that active trachoma may be more common in children under five, meaning true Australian prevalence may be under-estimated. In 2018, jurisdictions screened children aged 1–4 years in 64 at-risk communities in addition to usual screening of children aged 5–9 years. Active trachoma was assessed by trained graders according to WHO simplified grading criteria. Logistic regression using a mixed effect model was used to compare age groups. In total, 2907 children were screened for trachoma, with observed active trachoma prevalence 7.2% and 6.9% in children aged 5–9 years and 1–4 years, respectively. No evidence of association between age group and trachoma prevalence was found overall [OR = 1.29 (95% CI: 0.93–1.79)] and when analyses were restricted by geographic location or to communities meeting screening coverage thresholds. There was no evidence of higher active trachoma prevalence in children aged 1–4 years. These findings support the use of prevalence in children aged 5–9 years in assessing one of the key indicators of elimination of trachoma as a public health problem in the Australian context.
DOI: 10.6084/m9.figshare.31277456.v1
title: Nrf2 de-SUMOylation alleviates myocardial ischemia-reperfusion injury (MIRI) by attenuating myocardial ferroptosis in mice

description: Reperfusion, an essential therapeutic strategy for salvaging ischemic myocardium in ischemic heart disease, paradoxically exacerbates myocardial injury. Ferroptosis is a pivotal mechanism underlying myocardial ischemia-reperfusion injury (MIRI). Nrf2 can regulate ferroptosis, which could undergo SUMOylation at lysine 110 (K110) and was subsequently de-SUMOylated by Senp1. This study aimed to determine whether Nrf2 de-SUMOylation could mitigate MIRI by inhibiting myocardial ferroptosis. Nrf2 K110R mice, mimicking Nrf2 de-SUMOylation, were generated. Mice cardiac morphology and function were observed by hematoxylin–eosin staining (HE) and echocardiography under normal and MIRI conditions. Ferroptosis inhibitor liproxstatin-1 (Lip-1) was used to demonstrate ferroptosis participation in Nrf2 de-SUMOylation regulated MIRI. <i>In vitro,</i> SUMO1/sentrin-specific protease 1 <i>Senp1</i> KO H9C2 cells were subjected to RSL<sub>3</sub>-induced ferroptosis to explore underlying mechanism. Nrf2 K110R mice showed normal cardiac morphology and function at baseline. However, de-SUMOylation of Nrf2 alleviated myocardial ferroptosis, resulting in a reduction of MIRI severity in MIRI mice. The administration of Lip-1 attenuated the differences in MIRI between Nrf2 wild-type and K110R mice. Mechanistically, Nrf2 de-SUMOylation was associated with a reduction in Transferrin receptor (Tfr) expression level, thereby mitigating ferroptosis in cardiomyocytes. This study highlighted the role of Nrf2 SUMOylation in promoting ferroptosis during MIRI and identified Nrf2 de-SUMOylation as a potential therapeutic target for MIRI.
DOI: 10.6084/m9.figshare.31277456
title: Nrf2 de-SUMOylation alleviates myocardial ischemia-reperfusion injury (MIRI) by attenuating myocardial ferroptosis in mice

description: Reperfusion, an essential therapeutic strategy for salvaging ischemic myocardium in ischemic heart disease, paradoxically exacerbates myocardial injury. Ferroptosis is a pivotal mechanism underlying myocardial ischemia-reperfusion injury (MIRI). Nrf2 can regulate ferroptosis, which could undergo SUMOylation at lysine 110 (K110) and was subsequently de-SUMOylated by Senp1. This study aimed to determine whether Nrf2 de-SUMOylation could mitigate MIRI by inhibiting myocardial ferroptosis. Nrf2 K110R mice, mimicking Nrf2 de-SUMOylation, were generated. Mice cardiac morphology and function were observed by hematoxylin–eosin staining (HE) and echocardiography under normal and MIRI conditions. Ferroptosis inhibitor liproxstatin-1 (Lip-1) was used to demonstrate ferroptosis participation in Nrf2 de-SUMOylation regulated MIRI. <i>In vitro,</i> SUMO1/sentrin-specific protease 1 <i>Senp1</i> KO H9C2 cells were subjected to RSL<sub>3</sub>-induced ferroptosis to explore underlying mechanism. Nrf2 K110R mice showed normal cardiac morphology and function at baseline. However, de-SUMOylation of Nrf2 alleviated myocardial ferroptosis, resulting in a reduction of MIRI severity in MIRI mice. The administration of Lip-1 attenuated the differences in MIRI between Nrf2 wild-type and K110R mice. Mechanistically, Nrf2 de-SUMOylation was associated with a reduction in Transferrin receptor (Tfr) expression level, thereby mitigating ferroptosis in cardiomyocytes. This study highlighted the role of Nrf2 SUMOylation in promoting ferroptosis during MIRI and identified Nrf2 de-SUMOylation as a potential therapeutic target for MIRI.
DOI: 10.6084/m9.figshare.31277863
title: Supplementary Table 4. Results of aligning RNA-seq reads to the reference gene set

description: This table presents the alignment statistics of RNA-seq reads to the reference gene sets of T. amphioxeia and T. acuta. Metrics include total aligned reads, properly paired reads, uniquely mapped reads, and alignment percentages.
DOI: 10.6084/m9.figshare.31277863.v1
title: Supplementary Table 4. Results of aligning RNA-seq reads to the reference gene set

description: This table presents the alignment statistics of RNA-seq reads to the reference gene sets of T. amphioxeia and T. acuta. Metrics include total aligned reads, properly paired reads, uniquely mapped reads, and alignment percentages.
DOI: 10.15468/dl.tf9nhe
title: Occurrence Download

description: A dataset containing 8562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((20 -60,147 -60,147 30,20 30,20 -60))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stenella longirostris",
 "Year 2000-2026"
 ]
}

 The dataset includes 8562 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016156-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18504136
title: SHIRINMIYA (GLYCYRRHIZA L) O'SIMLIGINING BIOLOGIK XUSUSIYATLARI VA TARQALISHI

description: Mazkur ilmiy maqolada shirinmiya (Glycyrrhiza L.) o‘simligining biologik xususiyatlari hamda tabiiy tarqalish areali har tomonlama tahlil qilingan. Tadqiqotda Glycyrrhiza L. turkumiga mansub turlarning taksonomik o‘rni, morfologik tuzilishi, ekologik xususiyatlari va turli tabiiy sharoitlarga moslashuvchanligi ilmiy manbalar asosida yoritilgan. Shirinmiyaning ildiz va ildizpoyalarida to‘plangan biologik faol moddalar uning dorivor ahamiyatini belgilab berishi qayd etilgan. Maqolada shuningdek shirinmiyaning jahon miqyosida, xususan Markaziy Osiyo va O‘zbekiston hududlarida tarqalishi, asosiy o‘sish joylari hamda tabiiy resurs holati tahlil qilinadi. Olingan natijalar shirinmiya o‘simligini muhofaza qilish, tabiiy zaxiralardan oqilona foydalanish va uni madaniy holda yetishtirishni ilmiy asoslashda muhim ahamiyat kasb etadi.
DOI: 10.5281/zenodo.18504137
title: SHIRINMIYA (GLYCYRRHIZA L) O'SIMLIGINING BIOLOGIK XUSUSIYATLARI VA TARQALISHI

description: Mazkur ilmiy maqolada shirinmiya (Glycyrrhiza L.) o‘simligining biologik xususiyatlari hamda tabiiy tarqalish areali har tomonlama tahlil qilingan. Tadqiqotda Glycyrrhiza L. turkumiga mansub turlarning taksonomik o‘rni, morfologik tuzilishi, ekologik xususiyatlari va turli tabiiy sharoitlarga moslashuvchanligi ilmiy manbalar asosida yoritilgan. Shirinmiyaning ildiz va ildizpoyalarida to‘plangan biologik faol moddalar uning dorivor ahamiyatini belgilab berishi qayd etilgan. Maqolada shuningdek shirinmiyaning jahon miqyosida, xususan Markaziy Osiyo va O‘zbekiston hududlarida tarqalishi, asosiy o‘sish joylari hamda tabiiy resurs holati tahlil qilinadi. Olingan natijalar shirinmiya o‘simligini muhofaza qilish, tabiiy zaxiralardan oqilona foydalanish va uni madaniy holda yetishtirishni ilmiy asoslashda muhim ahamiyat kasb etadi.
DOI: 10.18150/nmi1tu
title: Wpływ pandemii COVID-19 na kondycję finansową przedsiębiorstw Grupy Wyszehradzkiej: analiza porównawcza lat 2018–2021

description: Zbiór danych obejmuje 79 wskaźników finansowych oraz niefinansowych obliczonych na podstawie sprawozdań finansowych dla przedsiębiorstw z Polski, Czech, Słowacji i Węgier, i dotyczy dwóch lat przed pandemią (2018–2019) oraz dwóch lat trwania pandemii (2020-2021). Całkowita próba badawcza składa się z 145 638 sprawozdań finansowych przedsiębiorstw. Sprawozdania finansowe pochodzą z bazy danych EMIS (Emerging Markets Information Service) (https://www.emis.com).Opis wskaźników: X1 CA/CL X2 (CA-I)/CL X3 (CA-I-R)/CL X4 WC/TA X5 WC/FA X6 WC X7 WC/S X8 WC/TL X9 C/TA X10 I/WC X11 WC/E X12 EBIT/TL X13 (GP+D)/TL X14 (NP+D)/TL X15 (TL-C)/S X16 (TL-C)/EBITDA X17 (NP+D)/CL X18 NP/TA X19 GP/TA X20 EBIT/TA X21 EBITDA/TA X22 NP/S X23 GP/S X24 EBIT/S X25 EBITDA/S X26 NP/E X27 EBIT/E X28 EBIT/TC X29 EBIT/FE X30 NP/I X31 NP/FA X32 EBITDA/FA X33 RE/TA X34 GP/CL X35 RE/CL X36 S/TA X37 (I*365)/S X38 (R*365)/S X39 (CL*365)/S X40 S/I X41 S/R X42 S/CL X43 S/FA X44 OC X45 CCC X46 CA/S X47 C/S X48 (I+R)/E X49 TL/TA X50 E/TL X51 E/TA X52 E/TA class (0: negative values, 1: positive values), X53 E/FA X54 (E-SC)/TA X55 CC/TA X56 CC/FA X57 LL/E X58 CA/TL X59 CL/TA X60 OE/CL X61 OE/TL X62 log of TA X63 log of S X64 log (TA/GDP) X65 S/Sn-1 X66 TA/TA-1 X67 CA/CA-1 X68 OP/OPn-1 X69 NP/NPn-1 X70 I/In-1 X71 R/Rn-1 X72 CL/CLn-1 X73 State X74 Number of Employees (0 brak danych, 1: 1-9e, 2: 10-49e, 3: 50-249e, 4: &gt;250e) X75 Legal form (1: Public Limited Company, 2: Limited Liability Company, 3: Other non-liability limited, 4: Limited Liability Partnership) X76 Operational Status (1: Operational, 0: Liquidation,Under Legal Investigation, Closed) X77 Incorporation Date 1 (1: 0-1y, 2: 1-2y, 3: 3-5y, 4 6-9y, 5: 10-19y, 6: &gt;19y) X78 Incorporation Date 2 (1: 0-2y, 2: 3-4y, 3: 5-24y, 4: &gt;24y) X79 Sector (1: Construction, 2: Manufacturing, 3: Retail trade, 4: Wholesale, 5: Transportation, 6: Power ). NP – zysk netto; TA – aktywa ogółem; TS – sprzedaż ogółem; TL – zobowiązania ogółem; CA – aktywa obrotowe; I – zapasy; LL –zobowiązania długoterminowe; log – logarytm; WC – kapitał obrotowy; CC – kapitał stały; SL – zobowiązania krótkoterminowe; S – sprzedaż netto; C – gotówka; R – należności; OE – koszty operacyjne; D – amortyzacja; RE – zyski zatrzymane; E – kapitał własny; GP – zysk brutto; FE – koszty finansowe; TC – koszt całkowity; FA – aktywa trwałe; SC – kapitał zakładowy; OC – cykl operacyjny; CCC – konwersja gotówki, e- liczba pracowników, y - lata1-72 - wskaźniki finansowe oznaczone w bazie; 73-79 - wskaźniki niefinansowe oznaczone w bazie.
DOI: 10.15468/dl.mhsjzz
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Korthalsia echinometra",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 49 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016157-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8tg7z
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - NCY - Annecy Haute-Savoie Mont-Blanc-Inventaires Aéro Biodiversité - NCY - Point d'EPOC 5"
 ]
}

 The dataset's 9 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016147-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytgf7t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is one of (ESP.2_1, ESP.2.2_1, ESP.2.3_1, ESP.2.1_1)",
 "Geometry POLYGON((-2.07113 41.09753,-1.9758 41.10573,-1.84576 41.05046,-1.69342 40.93173,-1.68315 40.85054,-1.61312 40.79567,-1.61629 40.64257,-1.69906 40.64353,-1.74686 40.61703,-1.76051 40.51808,-1.86824 40.4291,-1.85767 40.35693,-1.78768 40.32018,-1.7888 40.25713,-1.75403 40.22973,-1.68352 40.22895,-1.55617 40.13734,-1.50903 40.14575,-1.50962 40.11873,-1.46331 40.0911,-1.29914 40.08881,-1.19434 40.06019,-1.23043 40.02471,-1.23159 39.97969,-1.19765 39.93412,-1.16304 39.91556,-0.97568 39.92144,-0.97779 39.84941,-0.92074 39.80336,-0.85098 39.79307,-0.75615 39.83632,-0.73071 39.89889,-0.77601 39.94481,-0.69232 39.99723,-0.57432 40.02184,-0.49814 40.18237,-0.3321 40.2237,-0.28154 40.3126,-0.22165 40.33819,-0.21869 40.41018,-0.2415 40.42874,-0.20506 40.45489,-0.20319 40.49988,-0.23559 40.57272,-0.23262 40.64471,-0.1728 40.66127,-0.17051 40.71526,0.06725 40.64062,0.10152 40.66851,0.20749 40.68013,0.34469 40.80046,0.31701 40.8989,0.3623 40.95399,0.36086 40.98998,0.34682 41.0437,0.28555 41.08731,0.44717 41.2171,0.4563 41.28935,0.43138 41.31582,0.4412 41.37008,0.4166 41.38754,0.41445 41.44153,0.46159 41.4606,0.51865 41.53389,0.49087 41.63236,0.41819 41.64876,0.40511 41.67548,0.45169 41.71255,0.49973 41.71361,0.53369 41.76838,0.59346 41.77865,0.67502 41.85238,0.67175 41.94238,0.73042 41.98858,0.78511 42.15175,0.77175 42.18752,0.83945 42.3329,0.78587 42.47597,0.82078 42.52166,0.82889 42.63889,0.67862 42.744,0.32542 42.71828,0.32349 42.76326,0.23723 42.77922,0.06673 42.76597,0.0558 42.73868,0 42.71922,0 42.6922,-0.04573 42.69339,-0.15176 42.77712,-0.15052 42.80411,-0.19979 42.79632,-0.2711 42.84306,-0.35667 42.84507,-0.38264 42.80965,-0.43189 42.80176,-0.51633 42.83064,-0.52999 42.79492,-0.55442 42.79544,-0.66099 42.88772,-0.72217 42.88895,-0.71985 42.95194,-0.74369 42.97042,-0.86716 42.94577,-0.91858 42.87468,-0.9207 42.81169,-0.99607 42.75,-1.05714 42.75105,-1.10763 42.69786,-1.18084 42.69905,-1.24338 42.64599,-1.24414 42.61899,-1.30557 42.6019,-1.35573 42.5486,-1.35738 42.48559,-1.40695 42.45027,-1.42159 42.35141,-1.45866 42.32489,-1.4602 42.26187,-1.48487 42.24419,-1.46413 42.09982,-1.40503 42.04497,-1.44303 41.97344,-1.55182 41.96586,-1.61117 42.01163,-1.69568 42.01262,-1.71929 42.0399,-1.81559 42.05895,-1.87601 42.05956,-1.91272 42.03289,-1.92722 41.88892,-1.89184 41.84355,-1.91729 41.76274,-1.86966 41.73526,-1.87013 41.70824,-1.95513 41.655,-2.05146 41.63782,-2.06451 41.56587,-2.04079 41.54766,-2.04172 41.48462,-2.13742 41.49439,-2.23484 41.35996,-2.21331 41.16165,-2.07113 41.09753),(-0.73855 40.01615,-0.7387 40.01167,-0.73853 40.01678,-0.73855 40.01615))"
 ]
 },
 "EventDate 2026-02-06-2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016149-260129131611470/datasets/export for details.
DOI: 10.15468/dl.3763vj
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - NCY - Annecy Haute-Savoie Mont-Blanc-Inventaires Aéro Biodiversité - NCY - Observations opportunistes extérieur"
 ]
}

 The dataset's 2 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016143-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z48nbh
title: Occurrence Download

description: A dataset listing the 90 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - NCY - Annecy Haute-Savoie Mont-Blanc-Inventaires Aéro Biodiversité - NCY - Observations opportunistes plateforme"
 ]
}

 The dataset's 90 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016144-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxsbbs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is one of (ESP.2_1, ESP.2.2_1, ESP.2.3_1, ESP.2.1_1)",
 "Geometry POLYGON((-2.07113 41.09753,-1.9758 41.10573,-1.84576 41.05046,-1.69342 40.93173,-1.68315 40.85054,-1.61312 40.79567,-1.61629 40.64257,-1.69906 40.64353,-1.74686 40.61703,-1.76051 40.51808,-1.86824 40.4291,-1.85767 40.35693,-1.78768 40.32018,-1.7888 40.25713,-1.75403 40.22973,-1.68352 40.22895,-1.55617 40.13734,-1.50903 40.14575,-1.50962 40.11873,-1.46331 40.0911,-1.29914 40.08881,-1.19434 40.06019,-1.23043 40.02471,-1.23159 39.97969,-1.19765 39.93412,-1.16304 39.91556,-0.97568 39.92144,-0.97779 39.84941,-0.92074 39.80336,-0.85098 39.79307,-0.75615 39.83632,-0.73071 39.89889,-0.77601 39.94481,-0.69232 39.99723,-0.57432 40.02184,-0.49814 40.18237,-0.3321 40.2237,-0.28154 40.3126,-0.22165 40.33819,-0.21869 40.41018,-0.2415 40.42874,-0.20506 40.45489,-0.20319 40.49988,-0.23559 40.57272,-0.23262 40.64471,-0.1728 40.66127,-0.17051 40.71526,0.06725 40.64062,0.10152 40.66851,0.20749 40.68013,0.34469 40.80046,0.31701 40.8989,0.3623 40.95399,0.36086 40.98998,0.34682 41.0437,0.28555 41.08731,0.44717 41.2171,0.4563 41.28935,0.43138 41.31582,0.4412 41.37008,0.4166 41.38754,0.41445 41.44153,0.46159 41.4606,0.51865 41.53389,0.49087 41.63236,0.41819 41.64876,0.40511 41.67548,0.45169 41.71255,0.49973 41.71361,0.53369 41.76838,0.59346 41.77865,0.67502 41.85238,0.67175 41.94238,0.73042 41.98858,0.78511 42.15175,0.77175 42.18752,0.83945 42.3329,0.78587 42.47597,0.82078 42.52166,0.82889 42.63889,0.67862 42.744,0.32542 42.71828,0.32349 42.76326,0.23723 42.77922,0.06673 42.76597,0.0558 42.73868,0 42.71922,0 42.6922,-0.04573 42.69339,-0.15176 42.77712,-0.15052 42.80411,-0.19979 42.79632,-0.2711 42.84306,-0.35667 42.84507,-0.38264 42.80965,-0.43189 42.80176,-0.51633 42.83064,-0.52999 42.79492,-0.55442 42.79544,-0.66099 42.88772,-0.72217 42.88895,-0.71985 42.95194,-0.74369 42.97042,-0.86716 42.94577,-0.91858 42.87468,-0.9207 42.81169,-0.99607 42.75,-1.05714 42.75105,-1.10763 42.69786,-1.18084 42.69905,-1.24338 42.64599,-1.24414 42.61899,-1.30557 42.6019,-1.35573 42.5486,-1.35738 42.48559,-1.40695 42.45027,-1.42159 42.35141,-1.45866 42.32489,-1.4602 42.26187,-1.48487 42.24419,-1.46413 42.09982,-1.40503 42.04497,-1.44303 41.97344,-1.55182 41.96586,-1.61117 42.01163,-1.69568 42.01262,-1.71929 42.0399,-1.81559 42.05895,-1.87601 42.05956,-1.91272 42.03289,-1.92722 41.88892,-1.89184 41.84355,-1.91729 41.76274,-1.86966 41.73526,-1.87013 41.70824,-1.95513 41.655,-2.05146 41.63782,-2.06451 41.56587,-2.04079 41.54766,-2.04172 41.48462,-2.13742 41.49439,-2.23484 41.35996,-2.21331 41.16165,-2.07113 41.09753),(-0.73855 40.01615,-0.7387 40.01167,-0.73853 40.01678,-0.73855 40.01615))"
 ]
 },
 "EventDate 2026-02-06-2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016150-260129131611470/datasets/export for details.
DOI: 10.15468/dl.ghh8zd
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laccospadix australasicus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 278 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016160-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25405/data.ncl.31198234
title: Quotations from Interviews with Frontline Hospital Staff on Decision‑Making and Care Management for People with Multiple Long‑Term Conditions

description: This dataset contains qualitative interview material generated as part of a study exploring clinical decision‑making around admissions, referrals, and ongoing care management for people living with multiple long‑term conditions. The data consist of anonymised interview excerpts organised into a structured analytic framework, including themes, subthemes, and associated codes. The thematic structure reflects the complexity of decision‑making across clinical, organisational, and relational dimensions. The final analytic framework comprises four overarching themes: A journey of uncertainty, which captures how clinicians navigate ambiguity, fluctuating presentations, and incomplete information when making decisions about care; Within and beyond limitations, which describes how clinicians work within personal, professional, and systemic constraints and the strategies they use to adapt or overcome them; Structures of care, which focuses on organisational processes, service configurations, and system‑level factors that shape decision‑making and influence patient pathways; and Implementing relational care, which highlights the interpersonal, collaborative, and values‑based aspects of care, including communication, trust, and shared decision‑making. Each theme is supported by subthemes and detailed codes, with illustrative interview quotes that demonstrate how clinicians conceptualise and enact decision‑making in real‑world practice. The dataset provides insight into the interplay between clinical judgement, service pressures, and relational work in the management of people with multiple long‑term conditions.
DOI: 10.25405/data.ncl.31198234.v1
title: Quotations from Interviews with Frontline Hospital Staff on Decision‑Making and Care Management for People with Multiple Long‑Term Conditions

description: This dataset contains qualitative interview material generated as part of a study exploring clinical decision‑making around admissions, referrals, and ongoing care management for people living with multiple long‑term conditions. The data consist of anonymised interview excerpts organised into a structured analytic framework, including themes, subthemes, and associated codes. The thematic structure reflects the complexity of decision‑making across clinical, organisational, and relational dimensions. The final analytic framework comprises four overarching themes: A journey of uncertainty, which captures how clinicians navigate ambiguity, fluctuating presentations, and incomplete information when making decisions about care; Within and beyond limitations, which describes how clinicians work within personal, professional, and systemic constraints and the strategies they use to adapt or overcome them; Structures of care, which focuses on organisational processes, service configurations, and system‑level factors that shape decision‑making and influence patient pathways; and Implementing relational care, which highlights the interpersonal, collaborative, and values‑based aspects of care, including communication, trust, and shared decision‑making. Each theme is supported by subthemes and detailed codes, with illustrative interview quotes that demonstrate how clinicians conceptualise and enact decision‑making in real‑world practice. The dataset provides insight into the interplay between clinical judgement, service pressures, and relational work in the management of people with multiple long‑term conditions.
DOI: 10.5281/zenodo.18503663
title: Regulatory mechanism of gravel cover on vegetation growth and erosion resistance performance of bank slopes in the Three Gorges Reservoir Area